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fagges
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faiged
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faiges
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felched
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felchered
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felchingly
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fellateing
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fellatioing
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feltched
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feltches
feltching
feltchly
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feomed
feomer
feomes
feoming
feomly
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fisteder
fistedes
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fisting
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fistyer
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fistying
fistyly
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floozyed
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floozyes
floozying
floozyly
floozys
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foaded
foader
foades
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foadly
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fondleer
fondlees
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foobarly
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freexed
freexer
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freexly
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frigga
friggaed
friggaer
friggaes
friggaing
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frigger
frigges
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friggly
friggs
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fubared
fubarer
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fubarly
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fuckedly
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fuckered
fuckerer
fuckeres
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Post-stroke exercise rehabilitation: What we know about retraining the motor system and how it may apply to retraining the heart

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Post-stroke exercise rehabilitation: What we know about retraining the motor system and how it may apply to retraining the heart

Ideally, rehabilitation following a stroke that leads to functional deficit will result in a rapid return to normal function. In the real world, however, a rapid improvement in function is rarely achieved. Between 80% and 90% of stroke survivors have a motor deficit, with impairments in walking being the most common motor deficits.1 Most stroke survivors have a diminished fitness reserve that is stable and resistant to routine rehabilitative interventions. Recent research has begun to assess the value of exercise and other modalities of training during this period of stability to improve function long after cessation of other therapeutic interventions. This article will review this research and provide insight into those issues in post-stroke rehabilitation that remain to be addressed and may affect heart and brain physiology.

STROKE REDUCES AEROBIC CAPACITY

At all ages, the fitness level of stroke survivors, as measured by maximum oxygen consumption, is reduced by approximately 50% below that of an age-matched normal population. In a study comparing peak oxygen consumption during treadmill walking between stroke survivors and age-matched sedentary controls, we found that the stroke participants had an approximately 50% lower level of peak fitness relative to the control subjects.2 During treadmill walking at self-selected speeds, the stroke volunteers used 75% of their functional capacity, compared with 27% for the age-matched healthy controls. Furthermore, compared with the controls, the stroke subjects demonstrated a poorer economy of gait that required greater oxygen consumption to sustain their self-selected walking speeds.

CLINICAL TRIALS OF POST-STROKE EXERCISE REHABILITATION

In light of the efficacy of treadmill exercise in cardiac rehabilitation, we are evaluating whether treadmill exercise can similarly improve fitness, endurance, and walking velocity in stroke survivors. We have completed 6 months of treadmill training in two separate cohorts that show highly consistent results in terms of improved walking abilities in hemiparetic stroke subjects.3,4 A third cohort is in progress to confirm these findings and examine the effects of intensity on the functional benefits5 and mechanisms6 underlying the effects of treadmill training.

Treadmill exercise results in functional benefits and improved glucose metabolism

The first cohort was a before-and-after comparison of stable stroke survivors who underwent a three-times-weekly treadmill exercise program for 6 months.3 Peak exercise capacity testing (VO2peak) revealed functional benefits with minimal cardiac and injury risk compared with baseline, demonstrating the feasibility and safety of treadmill exercise therapy in stroke-impaired adults.

Reprinted, with permission, from Macko RF, et al. Treadmill exercise rehabilitation improves ambulatory function and cardiovascular fitness in patients with chronic stroke. A randomized, controlled trial. Stroke 2005; 36:2206–2211.
Figure 1. Mean change in distance during a 6-minute walk test after treadmill aerobic exercise training (T-AEX) and control therapy among ischemic stroke survivors with hemiparetic gait (25 T-AEX subjects, 20 controls). The between-group difference demonstrates the functional benefits provided by treadmill exercise therapy.4
The second cohort involved patients with chronic hemiparetic gait following ischemic stroke who were randomized to either treadmill aerobic training (three times weekly for 6 months) (n = 25) or a control rehabilitation program of stretching (n = 20).4 The aerobic training group selected its own walking speed and increased its speed as tolerated; some participants in this group started with as little as 2 minutes on the treadmill. As shown in Figure 1, performance on the 6-minute walk test improved significantly in the aerobic training group, relative to the control group, over the 6-month study. Six-minute walk results parallelled the improved functional performance.

Potential mechanisms for the benefits

These findings raise the question of whether these beneficial effects of treadmill exercise are attributable to muscle training effects, cardiopulmonary circulatory training effects, or perhaps neural mechanisms involving economy of gait movements and neuroplasticity of the motor system.

This question is being examined in our third cohort, now under investigation. This cohort will evaluate the effects of treadmill exercise on 32 chronically disabled stroke survivors in a single-center study design that is randomizing 64 subjects to 6 months of three-times-weekly treadmill training or conventional physiotherapy.6 Similar to our prior studies, subjects are randomized at least 6 months after their index stroke; this lengthy interval is deliberate because subjects are considered to be in a “plateau” phase of recovery, as they have previously completed rehabilitative therapy.

Figure 2. Brain activation before and after treadmill training is sampled in a stroke survivor using functional magnetic resonance imaging during unilateral knee movements. A plexiglass scaffold has been custom-designed to define range of motion and minimize concomitant head motion.
This group of 32 subjects will undergo both treadmill training and functional magnetic resonance imaging (fMRI) during unilateral knee movements to assess alterations in brain function during such movements over the 6-month study (Figure 2). Previous fMRI studies of healthy controls and stroke patients identified activation of regions in the right side of the cerebral hemisphere with left knee movement.7,8 In the new fMRI study, functional activation patterns of paretic and nonparetic knee movement will be compared between the exercise group and the control group, and the relationship between the activation pattern and the location of the brain-activation region will be characterized for the paretic and nonparetic knee movements.

Activation will be measured in five prespecified “regions of interest”: the precentral gyrus, the postcentral gyrus, the supplementary motor area, the midbrain, and the cerebellum (anterior/posterior lobes). Difference activation maps of post-training minus pretraining fMRIs of paretic knee movement across all patients undergoing treadmill therapy will then be analyzed. The control group, which will receive dose-matched stretching activity from physical therapy, can be contrasted by comparing the patterns of pre/post differences in each region. This will allow for assessment of increased regional activation in the brain that should be specific to the treadmill training intervention. Furthermore, if a specifically localized regional activation difference is found, then individual fMRI and VO2 training responses (VO2peak, increase in walking speeds) can be correlated to further assess the relationship between regional activation and magnitude of functional response to the treadmill intervention.

 

 

DISCUSSION AND CONCLUSIONS

Central control of walking

Control of gait in animals is mediated by the cortex, brainstem/cerebellum,9,10 and spinal cord—the so-called cervical gait and lumbar gait pattern-generating areas of the spinal cord. In humans, cortical and spinal gait pattern areas are thought to be major regulatory centers of ambulation. Whether the cortical areas influence ambulatory recovery mediated by exercise training or whether the recruitment of spinal gait areas is needed to improve motor control after stroke is not known in humans. We will test the hypothesis that the recruitment of cortical and/or subcortical areas is relevant to some or all of the exercise-induced neuroplasticity response to treadmill rehabilitation. If a consistent pattern of brain regional activation is associated with an improvement in walking ability, this finding will suggest potential brain targets for neurally directed rehabilitation interventions. If brain targets for rehabilitation produce viable therapeutic improvement in walking and cardiocirculatory performance (such as VO2), this will be further evidence of heart-brain interactions.

Future research directions

Studies to date demonstrate that long-term treadmill exercise affects both the brain and cardiac physiology. This has holistic implications for the function of the whole person as well. Yet several pressing issues continue to confront researchers in post-stroke rehabilitation. One is the optimal therapeutic target and the intensity of the rehabilitative effort. Is this improvement solely a response of muscle and cardiac tissue to exercise, or is it possible that improved neuromotor control is a critical component to a major recovery of walking function? Furthermore, the most efficacious elements of rehabilitative therapy are not known. Should treadmill training be high- or low-intensity, and should it be accompanied by strength training, agility and flexibility activities, or other elements directed at reacquisition of finer degrees of gait-related motor training and neuropsychological input, as achieved by tai-chi or yoga? Another issue is the proper dose of rehabilitative therapy, which has barely been explored, although recent preliminary work suggests that the response is dose-dependent. Finally, predictors of response have not been established because the mechanisms of therapy and surrogate markers for early response are not well understood.

Our future research plans are to assess whether a better understanding of neural targets for rehabilitative treatment will be a fruitful avenue to improve recovery. Additionally, this plan will assess whether fMRI can serve as a surrogate marker of recovery by offering a noninvasive means to measure response to rehabilitation.

References
  1. Mayo NE, Wood-Dauphinee S, Ahmed S, et al. Disablement following stroke. Disabil Rehabil 1999; 21:258–268.
  2. Michael K, Macko RF. Ambulatory activity intensity profiles, fitness, and fatigue in chronic stroke. Top Stroke Rehabil 2007; 14:5–12.
  3. Macko RF, Smith GV, Dobrovolny CL, Sorkin JD, Goldberg AP, Silver KH. Treadmill training improves fitness reserve in chronic stroke patients. Arch Phys Med Rehabil 2001; 82:879–884.
  4. Macko RF, Ivey FM, Forrester LW, et al. Treadmill exercise rehabilitation improves ambulatory function and cardiovascular fitness in patients with chronic stroke. A randomized, controlled trial. Stroke 2005; 36:2206–2211.
  5. Ivey FM, Ryan AS, Hafer-Macko CE, Goldberg AP, Macko RF. Treadmill aerobic training improves glucose tolerance and indices of insulin sensitivity in disabled stroke survivors: a preliminary report. Stroke 2007; 38:2752–2758.
  6. Luft AR, Macko R, Forrester L, Villagra F, Hanley D. Subcortical reorganization induced by aerobic locomotor training in chronic stroke survivors [abstract]. Poster presented at: Annual Meeting of the Society for Neuroscience; November 15, 2005; Washington, DC.
  7. Luft AR, Smith GV, Forrester L, et al. Comparing brain activation associated with isolated upper and lower limb movement across corresponding joints. Hum Brain Mapping 2002; 17:131–140.
  8. Luft AR, Forrester L, Macko RF, et al. Brain activation of lower extremity movement in chronically impaired stroke survivors. Neuroimage 2005; 26:184–194.
  9. Lawrence DG, Kuypers HG. The functional organization of the motor system in the monkey. I. The effects of bilateral pyramidal lesions. Brain 1968; 91:1–14.
  10. Lawrence DG, Kuypers HG. The functional organization of the motor system in the monkey. II. The effects of lesions of the descending brain-stem pathways. Brain 1968; 91:15–36.
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Author and Disclosure Information

Andreas Luft, MD
Department of Neurology, University of Tübingen, Germany

Richard Macko, MD
Geriatric Research, Education and Clinical Center (GRECC),  Baltimore Veterans Administration Medical Center, and Department of Neurology, University of Maryland School of Medicine, Baltimore, MD

Larry Forrester, PhD
Department of Physical Therapy and Rehabilitation Sciences, University of  Maryland School of Medicine, Baltimore, MD 

Andrew Goldberg, MD
Geriatric Research, Education and Clinical Center (GRECC), Baltimore Veterans Administration Medical Center, and Department of Medicine, Division of Gerontology, University of Maryland School of Medicine, Baltimore, MD

Daniel F. Hanley, MD
Professor, Acute Care Neurology, and Director, Division of Brain Injury Outcomes,The Johns Hopkins Medical Institutions, Baltimore, MD

Correspondence: Daniel F. Hanley, MD, Division of Brain Injury Outcomes, Department of Neurology, The Johns Hopkins Hospital, CRB II, Room 3M South, 1650 Orleans Street, Baltimore, MD 21231; [email protected]

All authors reported that they have no financial relationships that pose a potential conflict of interest with this article.

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Author and Disclosure Information

Andreas Luft, MD
Department of Neurology, University of Tübingen, Germany

Richard Macko, MD
Geriatric Research, Education and Clinical Center (GRECC),  Baltimore Veterans Administration Medical Center, and Department of Neurology, University of Maryland School of Medicine, Baltimore, MD

Larry Forrester, PhD
Department of Physical Therapy and Rehabilitation Sciences, University of  Maryland School of Medicine, Baltimore, MD 

Andrew Goldberg, MD
Geriatric Research, Education and Clinical Center (GRECC), Baltimore Veterans Administration Medical Center, and Department of Medicine, Division of Gerontology, University of Maryland School of Medicine, Baltimore, MD

Daniel F. Hanley, MD
Professor, Acute Care Neurology, and Director, Division of Brain Injury Outcomes,The Johns Hopkins Medical Institutions, Baltimore, MD

Correspondence: Daniel F. Hanley, MD, Division of Brain Injury Outcomes, Department of Neurology, The Johns Hopkins Hospital, CRB II, Room 3M South, 1650 Orleans Street, Baltimore, MD 21231; [email protected]

All authors reported that they have no financial relationships that pose a potential conflict of interest with this article.

Author and Disclosure Information

Andreas Luft, MD
Department of Neurology, University of Tübingen, Germany

Richard Macko, MD
Geriatric Research, Education and Clinical Center (GRECC),  Baltimore Veterans Administration Medical Center, and Department of Neurology, University of Maryland School of Medicine, Baltimore, MD

Larry Forrester, PhD
Department of Physical Therapy and Rehabilitation Sciences, University of  Maryland School of Medicine, Baltimore, MD 

Andrew Goldberg, MD
Geriatric Research, Education and Clinical Center (GRECC), Baltimore Veterans Administration Medical Center, and Department of Medicine, Division of Gerontology, University of Maryland School of Medicine, Baltimore, MD

Daniel F. Hanley, MD
Professor, Acute Care Neurology, and Director, Division of Brain Injury Outcomes,The Johns Hopkins Medical Institutions, Baltimore, MD

Correspondence: Daniel F. Hanley, MD, Division of Brain Injury Outcomes, Department of Neurology, The Johns Hopkins Hospital, CRB II, Room 3M South, 1650 Orleans Street, Baltimore, MD 21231; [email protected]

All authors reported that they have no financial relationships that pose a potential conflict of interest with this article.

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Ideally, rehabilitation following a stroke that leads to functional deficit will result in a rapid return to normal function. In the real world, however, a rapid improvement in function is rarely achieved. Between 80% and 90% of stroke survivors have a motor deficit, with impairments in walking being the most common motor deficits.1 Most stroke survivors have a diminished fitness reserve that is stable and resistant to routine rehabilitative interventions. Recent research has begun to assess the value of exercise and other modalities of training during this period of stability to improve function long after cessation of other therapeutic interventions. This article will review this research and provide insight into those issues in post-stroke rehabilitation that remain to be addressed and may affect heart and brain physiology.

STROKE REDUCES AEROBIC CAPACITY

At all ages, the fitness level of stroke survivors, as measured by maximum oxygen consumption, is reduced by approximately 50% below that of an age-matched normal population. In a study comparing peak oxygen consumption during treadmill walking between stroke survivors and age-matched sedentary controls, we found that the stroke participants had an approximately 50% lower level of peak fitness relative to the control subjects.2 During treadmill walking at self-selected speeds, the stroke volunteers used 75% of their functional capacity, compared with 27% for the age-matched healthy controls. Furthermore, compared with the controls, the stroke subjects demonstrated a poorer economy of gait that required greater oxygen consumption to sustain their self-selected walking speeds.

CLINICAL TRIALS OF POST-STROKE EXERCISE REHABILITATION

In light of the efficacy of treadmill exercise in cardiac rehabilitation, we are evaluating whether treadmill exercise can similarly improve fitness, endurance, and walking velocity in stroke survivors. We have completed 6 months of treadmill training in two separate cohorts that show highly consistent results in terms of improved walking abilities in hemiparetic stroke subjects.3,4 A third cohort is in progress to confirm these findings and examine the effects of intensity on the functional benefits5 and mechanisms6 underlying the effects of treadmill training.

Treadmill exercise results in functional benefits and improved glucose metabolism

The first cohort was a before-and-after comparison of stable stroke survivors who underwent a three-times-weekly treadmill exercise program for 6 months.3 Peak exercise capacity testing (VO2peak) revealed functional benefits with minimal cardiac and injury risk compared with baseline, demonstrating the feasibility and safety of treadmill exercise therapy in stroke-impaired adults.

Reprinted, with permission, from Macko RF, et al. Treadmill exercise rehabilitation improves ambulatory function and cardiovascular fitness in patients with chronic stroke. A randomized, controlled trial. Stroke 2005; 36:2206–2211.
Figure 1. Mean change in distance during a 6-minute walk test after treadmill aerobic exercise training (T-AEX) and control therapy among ischemic stroke survivors with hemiparetic gait (25 T-AEX subjects, 20 controls). The between-group difference demonstrates the functional benefits provided by treadmill exercise therapy.4
The second cohort involved patients with chronic hemiparetic gait following ischemic stroke who were randomized to either treadmill aerobic training (three times weekly for 6 months) (n = 25) or a control rehabilitation program of stretching (n = 20).4 The aerobic training group selected its own walking speed and increased its speed as tolerated; some participants in this group started with as little as 2 minutes on the treadmill. As shown in Figure 1, performance on the 6-minute walk test improved significantly in the aerobic training group, relative to the control group, over the 6-month study. Six-minute walk results parallelled the improved functional performance.

Potential mechanisms for the benefits

These findings raise the question of whether these beneficial effects of treadmill exercise are attributable to muscle training effects, cardiopulmonary circulatory training effects, or perhaps neural mechanisms involving economy of gait movements and neuroplasticity of the motor system.

This question is being examined in our third cohort, now under investigation. This cohort will evaluate the effects of treadmill exercise on 32 chronically disabled stroke survivors in a single-center study design that is randomizing 64 subjects to 6 months of three-times-weekly treadmill training or conventional physiotherapy.6 Similar to our prior studies, subjects are randomized at least 6 months after their index stroke; this lengthy interval is deliberate because subjects are considered to be in a “plateau” phase of recovery, as they have previously completed rehabilitative therapy.

Figure 2. Brain activation before and after treadmill training is sampled in a stroke survivor using functional magnetic resonance imaging during unilateral knee movements. A plexiglass scaffold has been custom-designed to define range of motion and minimize concomitant head motion.
This group of 32 subjects will undergo both treadmill training and functional magnetic resonance imaging (fMRI) during unilateral knee movements to assess alterations in brain function during such movements over the 6-month study (Figure 2). Previous fMRI studies of healthy controls and stroke patients identified activation of regions in the right side of the cerebral hemisphere with left knee movement.7,8 In the new fMRI study, functional activation patterns of paretic and nonparetic knee movement will be compared between the exercise group and the control group, and the relationship between the activation pattern and the location of the brain-activation region will be characterized for the paretic and nonparetic knee movements.

Activation will be measured in five prespecified “regions of interest”: the precentral gyrus, the postcentral gyrus, the supplementary motor area, the midbrain, and the cerebellum (anterior/posterior lobes). Difference activation maps of post-training minus pretraining fMRIs of paretic knee movement across all patients undergoing treadmill therapy will then be analyzed. The control group, which will receive dose-matched stretching activity from physical therapy, can be contrasted by comparing the patterns of pre/post differences in each region. This will allow for assessment of increased regional activation in the brain that should be specific to the treadmill training intervention. Furthermore, if a specifically localized regional activation difference is found, then individual fMRI and VO2 training responses (VO2peak, increase in walking speeds) can be correlated to further assess the relationship between regional activation and magnitude of functional response to the treadmill intervention.

 

 

DISCUSSION AND CONCLUSIONS

Central control of walking

Control of gait in animals is mediated by the cortex, brainstem/cerebellum,9,10 and spinal cord—the so-called cervical gait and lumbar gait pattern-generating areas of the spinal cord. In humans, cortical and spinal gait pattern areas are thought to be major regulatory centers of ambulation. Whether the cortical areas influence ambulatory recovery mediated by exercise training or whether the recruitment of spinal gait areas is needed to improve motor control after stroke is not known in humans. We will test the hypothesis that the recruitment of cortical and/or subcortical areas is relevant to some or all of the exercise-induced neuroplasticity response to treadmill rehabilitation. If a consistent pattern of brain regional activation is associated with an improvement in walking ability, this finding will suggest potential brain targets for neurally directed rehabilitation interventions. If brain targets for rehabilitation produce viable therapeutic improvement in walking and cardiocirculatory performance (such as VO2), this will be further evidence of heart-brain interactions.

Future research directions

Studies to date demonstrate that long-term treadmill exercise affects both the brain and cardiac physiology. This has holistic implications for the function of the whole person as well. Yet several pressing issues continue to confront researchers in post-stroke rehabilitation. One is the optimal therapeutic target and the intensity of the rehabilitative effort. Is this improvement solely a response of muscle and cardiac tissue to exercise, or is it possible that improved neuromotor control is a critical component to a major recovery of walking function? Furthermore, the most efficacious elements of rehabilitative therapy are not known. Should treadmill training be high- or low-intensity, and should it be accompanied by strength training, agility and flexibility activities, or other elements directed at reacquisition of finer degrees of gait-related motor training and neuropsychological input, as achieved by tai-chi or yoga? Another issue is the proper dose of rehabilitative therapy, which has barely been explored, although recent preliminary work suggests that the response is dose-dependent. Finally, predictors of response have not been established because the mechanisms of therapy and surrogate markers for early response are not well understood.

Our future research plans are to assess whether a better understanding of neural targets for rehabilitative treatment will be a fruitful avenue to improve recovery. Additionally, this plan will assess whether fMRI can serve as a surrogate marker of recovery by offering a noninvasive means to measure response to rehabilitation.

Ideally, rehabilitation following a stroke that leads to functional deficit will result in a rapid return to normal function. In the real world, however, a rapid improvement in function is rarely achieved. Between 80% and 90% of stroke survivors have a motor deficit, with impairments in walking being the most common motor deficits.1 Most stroke survivors have a diminished fitness reserve that is stable and resistant to routine rehabilitative interventions. Recent research has begun to assess the value of exercise and other modalities of training during this period of stability to improve function long after cessation of other therapeutic interventions. This article will review this research and provide insight into those issues in post-stroke rehabilitation that remain to be addressed and may affect heart and brain physiology.

STROKE REDUCES AEROBIC CAPACITY

At all ages, the fitness level of stroke survivors, as measured by maximum oxygen consumption, is reduced by approximately 50% below that of an age-matched normal population. In a study comparing peak oxygen consumption during treadmill walking between stroke survivors and age-matched sedentary controls, we found that the stroke participants had an approximately 50% lower level of peak fitness relative to the control subjects.2 During treadmill walking at self-selected speeds, the stroke volunteers used 75% of their functional capacity, compared with 27% for the age-matched healthy controls. Furthermore, compared with the controls, the stroke subjects demonstrated a poorer economy of gait that required greater oxygen consumption to sustain their self-selected walking speeds.

CLINICAL TRIALS OF POST-STROKE EXERCISE REHABILITATION

In light of the efficacy of treadmill exercise in cardiac rehabilitation, we are evaluating whether treadmill exercise can similarly improve fitness, endurance, and walking velocity in stroke survivors. We have completed 6 months of treadmill training in two separate cohorts that show highly consistent results in terms of improved walking abilities in hemiparetic stroke subjects.3,4 A third cohort is in progress to confirm these findings and examine the effects of intensity on the functional benefits5 and mechanisms6 underlying the effects of treadmill training.

Treadmill exercise results in functional benefits and improved glucose metabolism

The first cohort was a before-and-after comparison of stable stroke survivors who underwent a three-times-weekly treadmill exercise program for 6 months.3 Peak exercise capacity testing (VO2peak) revealed functional benefits with minimal cardiac and injury risk compared with baseline, demonstrating the feasibility and safety of treadmill exercise therapy in stroke-impaired adults.

Reprinted, with permission, from Macko RF, et al. Treadmill exercise rehabilitation improves ambulatory function and cardiovascular fitness in patients with chronic stroke. A randomized, controlled trial. Stroke 2005; 36:2206–2211.
Figure 1. Mean change in distance during a 6-minute walk test after treadmill aerobic exercise training (T-AEX) and control therapy among ischemic stroke survivors with hemiparetic gait (25 T-AEX subjects, 20 controls). The between-group difference demonstrates the functional benefits provided by treadmill exercise therapy.4
The second cohort involved patients with chronic hemiparetic gait following ischemic stroke who were randomized to either treadmill aerobic training (three times weekly for 6 months) (n = 25) or a control rehabilitation program of stretching (n = 20).4 The aerobic training group selected its own walking speed and increased its speed as tolerated; some participants in this group started with as little as 2 minutes on the treadmill. As shown in Figure 1, performance on the 6-minute walk test improved significantly in the aerobic training group, relative to the control group, over the 6-month study. Six-minute walk results parallelled the improved functional performance.

Potential mechanisms for the benefits

These findings raise the question of whether these beneficial effects of treadmill exercise are attributable to muscle training effects, cardiopulmonary circulatory training effects, or perhaps neural mechanisms involving economy of gait movements and neuroplasticity of the motor system.

This question is being examined in our third cohort, now under investigation. This cohort will evaluate the effects of treadmill exercise on 32 chronically disabled stroke survivors in a single-center study design that is randomizing 64 subjects to 6 months of three-times-weekly treadmill training or conventional physiotherapy.6 Similar to our prior studies, subjects are randomized at least 6 months after their index stroke; this lengthy interval is deliberate because subjects are considered to be in a “plateau” phase of recovery, as they have previously completed rehabilitative therapy.

Figure 2. Brain activation before and after treadmill training is sampled in a stroke survivor using functional magnetic resonance imaging during unilateral knee movements. A plexiglass scaffold has been custom-designed to define range of motion and minimize concomitant head motion.
This group of 32 subjects will undergo both treadmill training and functional magnetic resonance imaging (fMRI) during unilateral knee movements to assess alterations in brain function during such movements over the 6-month study (Figure 2). Previous fMRI studies of healthy controls and stroke patients identified activation of regions in the right side of the cerebral hemisphere with left knee movement.7,8 In the new fMRI study, functional activation patterns of paretic and nonparetic knee movement will be compared between the exercise group and the control group, and the relationship between the activation pattern and the location of the brain-activation region will be characterized for the paretic and nonparetic knee movements.

Activation will be measured in five prespecified “regions of interest”: the precentral gyrus, the postcentral gyrus, the supplementary motor area, the midbrain, and the cerebellum (anterior/posterior lobes). Difference activation maps of post-training minus pretraining fMRIs of paretic knee movement across all patients undergoing treadmill therapy will then be analyzed. The control group, which will receive dose-matched stretching activity from physical therapy, can be contrasted by comparing the patterns of pre/post differences in each region. This will allow for assessment of increased regional activation in the brain that should be specific to the treadmill training intervention. Furthermore, if a specifically localized regional activation difference is found, then individual fMRI and VO2 training responses (VO2peak, increase in walking speeds) can be correlated to further assess the relationship between regional activation and magnitude of functional response to the treadmill intervention.

 

 

DISCUSSION AND CONCLUSIONS

Central control of walking

Control of gait in animals is mediated by the cortex, brainstem/cerebellum,9,10 and spinal cord—the so-called cervical gait and lumbar gait pattern-generating areas of the spinal cord. In humans, cortical and spinal gait pattern areas are thought to be major regulatory centers of ambulation. Whether the cortical areas influence ambulatory recovery mediated by exercise training or whether the recruitment of spinal gait areas is needed to improve motor control after stroke is not known in humans. We will test the hypothesis that the recruitment of cortical and/or subcortical areas is relevant to some or all of the exercise-induced neuroplasticity response to treadmill rehabilitation. If a consistent pattern of brain regional activation is associated with an improvement in walking ability, this finding will suggest potential brain targets for neurally directed rehabilitation interventions. If brain targets for rehabilitation produce viable therapeutic improvement in walking and cardiocirculatory performance (such as VO2), this will be further evidence of heart-brain interactions.

Future research directions

Studies to date demonstrate that long-term treadmill exercise affects both the brain and cardiac physiology. This has holistic implications for the function of the whole person as well. Yet several pressing issues continue to confront researchers in post-stroke rehabilitation. One is the optimal therapeutic target and the intensity of the rehabilitative effort. Is this improvement solely a response of muscle and cardiac tissue to exercise, or is it possible that improved neuromotor control is a critical component to a major recovery of walking function? Furthermore, the most efficacious elements of rehabilitative therapy are not known. Should treadmill training be high- or low-intensity, and should it be accompanied by strength training, agility and flexibility activities, or other elements directed at reacquisition of finer degrees of gait-related motor training and neuropsychological input, as achieved by tai-chi or yoga? Another issue is the proper dose of rehabilitative therapy, which has barely been explored, although recent preliminary work suggests that the response is dose-dependent. Finally, predictors of response have not been established because the mechanisms of therapy and surrogate markers for early response are not well understood.

Our future research plans are to assess whether a better understanding of neural targets for rehabilitative treatment will be a fruitful avenue to improve recovery. Additionally, this plan will assess whether fMRI can serve as a surrogate marker of recovery by offering a noninvasive means to measure response to rehabilitation.

References
  1. Mayo NE, Wood-Dauphinee S, Ahmed S, et al. Disablement following stroke. Disabil Rehabil 1999; 21:258–268.
  2. Michael K, Macko RF. Ambulatory activity intensity profiles, fitness, and fatigue in chronic stroke. Top Stroke Rehabil 2007; 14:5–12.
  3. Macko RF, Smith GV, Dobrovolny CL, Sorkin JD, Goldberg AP, Silver KH. Treadmill training improves fitness reserve in chronic stroke patients. Arch Phys Med Rehabil 2001; 82:879–884.
  4. Macko RF, Ivey FM, Forrester LW, et al. Treadmill exercise rehabilitation improves ambulatory function and cardiovascular fitness in patients with chronic stroke. A randomized, controlled trial. Stroke 2005; 36:2206–2211.
  5. Ivey FM, Ryan AS, Hafer-Macko CE, Goldberg AP, Macko RF. Treadmill aerobic training improves glucose tolerance and indices of insulin sensitivity in disabled stroke survivors: a preliminary report. Stroke 2007; 38:2752–2758.
  6. Luft AR, Macko R, Forrester L, Villagra F, Hanley D. Subcortical reorganization induced by aerobic locomotor training in chronic stroke survivors [abstract]. Poster presented at: Annual Meeting of the Society for Neuroscience; November 15, 2005; Washington, DC.
  7. Luft AR, Smith GV, Forrester L, et al. Comparing brain activation associated with isolated upper and lower limb movement across corresponding joints. Hum Brain Mapping 2002; 17:131–140.
  8. Luft AR, Forrester L, Macko RF, et al. Brain activation of lower extremity movement in chronically impaired stroke survivors. Neuroimage 2005; 26:184–194.
  9. Lawrence DG, Kuypers HG. The functional organization of the motor system in the monkey. I. The effects of bilateral pyramidal lesions. Brain 1968; 91:1–14.
  10. Lawrence DG, Kuypers HG. The functional organization of the motor system in the monkey. II. The effects of lesions of the descending brain-stem pathways. Brain 1968; 91:15–36.
References
  1. Mayo NE, Wood-Dauphinee S, Ahmed S, et al. Disablement following stroke. Disabil Rehabil 1999; 21:258–268.
  2. Michael K, Macko RF. Ambulatory activity intensity profiles, fitness, and fatigue in chronic stroke. Top Stroke Rehabil 2007; 14:5–12.
  3. Macko RF, Smith GV, Dobrovolny CL, Sorkin JD, Goldberg AP, Silver KH. Treadmill training improves fitness reserve in chronic stroke patients. Arch Phys Med Rehabil 2001; 82:879–884.
  4. Macko RF, Ivey FM, Forrester LW, et al. Treadmill exercise rehabilitation improves ambulatory function and cardiovascular fitness in patients with chronic stroke. A randomized, controlled trial. Stroke 2005; 36:2206–2211.
  5. Ivey FM, Ryan AS, Hafer-Macko CE, Goldberg AP, Macko RF. Treadmill aerobic training improves glucose tolerance and indices of insulin sensitivity in disabled stroke survivors: a preliminary report. Stroke 2007; 38:2752–2758.
  6. Luft AR, Macko R, Forrester L, Villagra F, Hanley D. Subcortical reorganization induced by aerobic locomotor training in chronic stroke survivors [abstract]. Poster presented at: Annual Meeting of the Society for Neuroscience; November 15, 2005; Washington, DC.
  7. Luft AR, Smith GV, Forrester L, et al. Comparing brain activation associated with isolated upper and lower limb movement across corresponding joints. Hum Brain Mapping 2002; 17:131–140.
  8. Luft AR, Forrester L, Macko RF, et al. Brain activation of lower extremity movement in chronically impaired stroke survivors. Neuroimage 2005; 26:184–194.
  9. Lawrence DG, Kuypers HG. The functional organization of the motor system in the monkey. I. The effects of bilateral pyramidal lesions. Brain 1968; 91:1–14.
  10. Lawrence DG, Kuypers HG. The functional organization of the motor system in the monkey. II. The effects of lesions of the descending brain-stem pathways. Brain 1968; 91:15–36.
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Hippocampal volume change in the Alzheimer Disease Cholesterol-Lowering Treatment trial

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Hippocampal volume change in the Alzheimer Disease Cholesterol-Lowering Treatment trial

Alzheimer disease (AD) is a degenerative disorder characterized by a gradual deterioration in memory. In its clinically overt stages, obvious signs of neural degeneration on magnetic resonance imaging (MRI) appear as global cerebral atrophy. Even in the earliest stages of the disease, regional cell loss can be observed, particularly in the mesial temporal lobe regions, specifically the hippocampus and entorhinal cortex.1–3

MRI is used primarily as a diagnostic tool to rule out conditions other than AD. However, MRI may be useful in understanding whether the underlying processes that are associated with these cognitive changes can be attributed to general or specific effects of the disease process. Volumetric changes observed with MRI in the hippocampal region have been correlated with disease progression4,5 and predict development of AD in individuals with isolated memory impairment,6 suggesting that neuroimaging quantification may serve as a useful measure of brain integrity in patients with AD.

New treatments for AD are emerging, and assessing their efficacy is of critical importance. The rationale for testing statin drugs as a therapy for AD was bolstered by ever-mounting preclinical animal and human data suggesting that elevated circulating cholesterol exacerbates AD-like pathology and that statin treatment, in part, reverses the effect of cholesterol. This article surveys current evidence on the association between cholesterol and AD as well as between statin use and AD risk. We conclude by focusing on results from the first clinical investigation of statin therapy in patients with AD and present new results of a substudy of this trial examining the morphologic effects of statin therapy in AD patients.

LINK BETWEEN CHOLESTEROL AND AD

Early epidemiologic surveys suggested an association between a high-fat/high-cholesterol diet and increased risk of AD,7–10 and this suggestion has been supported by more recent investigations.11,12 Cholesterol levels are increased in the blood of AD patients,7,13–16 and increased cholesterol has been observed in the AD brain as a function of the apolipoprotein E allotype.8,17

Numerous clinical studies suggest a link between elevated cholesterol and increased risk of AD,17–23 with one study reporting a threefold increase in the risk of AD with elevated serum cholesterol, even after adjusting for age and presence of the apolipoprotein E4 allele.19 Another study indicates that persistently elevated cholesterol levels in midlife increase the risk of AD.23 A retrospective analysis of the Framingham Study suggested, however, that there is no relationship between total cholesterol levels and risk of incident AD.24 A more recent report indicated that language performance in elderly subjects without dementia declined faster among those individuals with higher cholesterol levels, but this effect did not remain significant after accounting for multiple comparisons.25 In contrast, the Three-City Study, a population-based cohort investigation of 9,294 subjects in France, demonstrated a significant increase in the risk of dementia among subjects who had hyperlipidemia (odds ratio [OR] = 1.43; 95% confidence interval [CI], 1.03 to 1.99).12

STATIN USE AND RISK OF AD

The preponderance of clinical data suggests that statin therapy may reduce the risk of AD later in life. Since the initial epidemiologic investigation assessing the effect of statin use on later risk of AD in the elderly, there have been 13 additional studies; all but two of these studies have reported benefit with cholesterol-lowering therapy.

In the two earliest epidemiologic studies, Wolozin et al demonstrated benefit with the use of lovastatin and pravastatin, but not with simvastatin or non-statin therapy,26 and Jick et al showed benefit associated with cholesterol-lowering therapy, but not specifically with statin use.27 Five epidemiologic studies published in 2002 suggested that prior statin use reduced the risk of dementia or AD.28–32 Meta-analysis of these first seven retrospective studies suggested a significant reduction in the risk of later cognitive impairment with statin use (relative risk = 0.43; 95% CI, 0.31 to 0.62), but the risk reduction with lipid-lowering agents collectively (not just statins) was not statistically significant.33

In 2004, Zamrini et al reported a 39% reduction in the risk of AD in statin users compared with nonusers (OR = 0.61; 95% CI, 0.42 to 0.87).34 That same year, Li et al suggested that there was no association between statin use and a reduced incidence of probable AD using a time-dependent proportional hazards model, but if the data were analyzed (inappropriately) as a case-control study, a significant protective effect was identified.35

Data from the Cache County Study cohort demonstrated no significant reduction in the risk of AD with statin use but allowed for the possibility that some benefit could be provided with longer-term statin therapy.36 In constrast, the Three-City Study of 9,294 individuals in France identified a significant reduction in the risk of AD with statin use (OR = 0.61; 95% CI, 0.41 to 0.91).12 Rea et al reported that prior statin use did not decrease the risk of dementia or AD, but when they included in their analysis individuals currently using a statin, there was a significant reduction in the hazard ratios for AD and for all-cause dementia.37 The two most recent epidemiologic studies both suggest that statin therapy slows cognitive decline in AD.38,39

COGNITIVE PERFORMANCE AND STATIN USE

A retrospective cohort study that assessed intelligence and cognition at a young age and again when subjects were in their 80s indicated that statin use had a significant beneficial effect on cognitive ability.40

In contrast, two very large prospective studies published in 2002 suggested that statins produce no positive effect on cognition in younger individuals at risk for heart disease.41,42 The Prospective Study of Pravastatin in the Elderly at Risk (PROSPER) found that the mean Mini-Mental State Examination (MMSE) score, which was assessed only at subjects’ last on-treatment clinical visit, was comparable between the study’s pravastatin and placebo groups.41 Likewise, the Medical Research Council/British Heart Foundation (MRC/BHF) Heart Protection Study, which used the Telephone Interview for Cognitive Status questionnaire at the end of the investigation, reported that simvastatin had no positive effect on cognitive performance compared with placebo, but this finding was obtained in the absence of baseline data.42 Given the limited cognitive assessments performed in these two studies, no firm conclusions should be drawn.

A more recent prospective comparison of atorvastatin and placebo in younger subjects did include baseline and follow-up assessment of cognitive function, and it identified significantly superior performance in the statin-treated population on the MMSE and on tests of attention, psychomotor speed, mental flexibility, working memory, and memory retrieval.43

 

 

STATIN TREATMENT OF AD: THE AD CHOLESTEROL-LOWERING TREATMENT TRIAL

The initial clinical investigation of statin therapy in patients with AD—the Alzheimer’s Disease Cholesterol-Lowering Treatment (ADCLT) trial—involved atorvastatin.44 Patients with mild to moderate AD were randomized to either placebo or 80 mg/day of atorvastatin for a 1-year period. Evaluable data were available for 63 patients (32 in the atorvastatin group, 31 in the placebo group). End points included the change in performance on the following measures:

MMSE

  • Alzheimer’s Disease Assessment Scale–cognitive subscale (ADAS-cog)
  • Neuropsychiatric Inventory Caregiver Distress Scale (NPI)
  • Clinical Global Impression of Change scale (CGIC)
  • Alzheimer’s Disease Cooperative Study–Activities of Daily Living Inventory (ADCS-ADL)
  • Geriatric Depression Scale (GDS).

Cognitive results

In the setting of continued cholinesterase inhibitor use, atorvastatin provided significant benefit on the ADAS-cog at 26 weeks compared with placebo (P = .003) and marginally significant benefit at 1 year (P = .055) while producing a trend for benefit on the CGIC and NPI and a statistically significant improvement on the GDS after 1 year of active treatment.44 The observed benefit on the MMSE with atorvastatin versus placebo did not reach statistical significance, and no discernible difference was observed on the ADCS-ADL.44 In contrast, a significant difference in the slope of deterioration on the MMSE and the GDS in the atorvastatin group versus the placebo group suggested disease modification.45

Blood test results

Figure 1. Mean circulating triglyceride levels from all evaluable subjects (N = 63) in the Alzheimer’s Disease Cholesterol-Lowering Treatment (ADCLT) trial. After insuring compliance for fasting blood draws, triglyceride levels were determined every quarter during the study. Atorvastatin recipients had a significant 30% increase in triglyceride levels compared with placebo controls (P < .05).
Levels of total cholesterol, low-density lipoprotein cholesterol, and very-low-density lipoprotein cholesterol were significantly reduced between 3 and 12 months in the atorvastatin group compared with the placebo group;44 levels of high-density lipoprotein cholesterol were decreased by 12 months of atorvastatin therapy,45 but the circulating free radical load was unchanged,45 as were levels of C-reactive protein.46 Notably, after assuring fasting compliance, we found that triglyceride levels were significantly increased by atorvastatin treatment in AD patients (Figure 1).

Secondary analysis and initial morphometric substudy

Secondary assessment indicated that the subjects who garnered the greatest benefit from atorvastatin therapy in terms of their 6-month ADAS-cog score were those who had higher cholesterol levels at trial entry, those who harbored the apolipoprotein E4 allele, and those who were less affected by AD at trial entry (ie, with higher entry MMSE scores).47

In an ADCLT substudy using new voxel-based morphometry techniques, we quantitatively assessed gray matter density in 15 ADCLT trial participants and compared it with density findings in 15 normal elderly controls.48 Regional reductions in gray matter density were observed in the AD patients compared with the controls. Large differences in gray matter concentration were observed bilaterally in the temporal lobe. The anterior cingulate, right superior temporal, left superior frontal, and posterior cingulate regions also showed significantly decreased gray matter density in the AD patients compared with the controls. A significant relationship was observed between gray matter density and ADAS-cog error scores—ie, more severe levels of cognitive impairment correlated with reduced gray matter density.48

PILOT SUBSTUDY OF ADCLT: ASSESSING MORPHOLOGIC CHANGES WITH STATIN THERAPY

Eleven of the 15 ADCLT trial participants from the above morphometric substudy returned for MRI assessment after 1 year of treatment with either atorvastatin or placebo. We report here the comparative effects of atorvastatin and placebo on hippocampal volume and the relationship with cognitive performance.

Participants

Subjects were participating in the ADCLT trial, an investigator-initiated, double-blind, placebo-controlled study. Neuroimaging was performed at the Barrow Neurological Institute, Phoenix, AZ, for a subset of the participants in the trial (n = 11) as a pilot study to examine neural changes associated with atorvastatin therapy.

Each patient underwent screening, assignment to either atorvastatin 80 mg/day or placebo, and medical and cognitive assessment at Sun Health Research Institute, Sun City, AZ, prior to imaging at Barrow. All  patients met Diagnostic and Statistical Manual of Mental Disorders, fourth edition, criteria for dementia as well as NINCDS-ADRDA criteria for probable AD. Each patient was free of significant psychiatric and neurological history and had a score of 4 or less on the Hachinski Modified Ischemia Scale. All MRIs were reviewed by a neuroradiologist to ensure that there was no evidence of stroke or cortical or lacunar infarcts.

Both sites’ institutional review boards approved this project, and all subjects gave written informed consent.

Cognitive assessment

A primary efficacy measure used in the parent study was the ADAS-cog,49 and the MMSE50 was a secondary measure. Change scores were determined by comparing values obtained at baseline, prior to randomization to treatment with either atorvastatin or placebo, and after 1 year of treatment. MMSE scores were obtained at the same session as the ADAS-cog scores. Cognitive assessments were obtained within 2 weeks prior to MRI.

Image acquisition

All participants underwent imaging on a single 1.5­tesla GE scanner at Barrow Neurological Institute. Imaging was conducted both prior to treatment randomization and again after 1 year of treatment. Images of the whole brain were collected using a coronal SPGR (spoiled gradient) T1-weighted, three-dimensional acquisition with the following parameters:

  • Number of acquisitions = 1
  • Repetition time = 23 msec
  • Echo time = 8 msec
  • Flip angle = 35 degrees
  • Bandwidth = 12.5 kHz
  • Slice thickness = 1.5 mm or 1.9 mm
  • 0 skip between slices
  • In-plane resolution = 0.9375 x 0.9375.

Hippocampal volumetrics

All imaging analysis was performed within the Analysis of Functional Neuroimages (AFNI) package.51 We traced the outline of the hippocampus using the three-dimensional SPGR images. The hippocampi were visualized in all three planes, landmarked in the coronal and sagittal planes, and drawn in the coronal plane. We employed the guidelines of Insausti et al52 and Machulda et al53 to define the hippocampal boundaries. First we defined the anterior boundary by observing the white matter band and/or the cerebrospinal fluid space between the amygdala and hippocampus in the sagittal plane. The posterior aspect of the posterior region was initially landmarked in the sagittal plane by locating the posterior edge of the hippocampus and then checking in the coronal plane to ensure that the fornices were completely visualized. Volumes were calculated by importing the extracted hippocampi into MATLAB to measure the volumes.

 

 

Statistical analyses

Mean differences between the atorvastatin and placebo groups were evaluated using two-tailed Student t tests. Correlation between changes in cognitive measures and changes in the hippocampal volume for the total population and for the treatment groups was determined using Pearson’s r coefficient. Significance was defined as a P value less than .05; a P value between .05 and .10 was deemed a trend.

Results

There was no difference in age or in years of education between the atorvastatin and the placebo groups (Table 1).

In contrast to other studies,54–58 we found in this pilot study that right hippocampal volume was slightly less than left hippocampal volume (2,015 ± 141 mm3 vs 2,135 ± 183 mm3).

Mean changes in performance on the ADAS-cog and MMSE were less pronounced in the atorvastatin group than in the placebo group, but not significantly so (Table 1). However, there was a trend toward superiority in the atorvastatin group on performance on the free word-recall subscale of the ADAS-cog.

Figure 2. Differential effects of placebo and atorvastatin therapy on size of the right hippocampus in a pilot substudy of the Alzheimer’s Disease Cholesterol-Lowering Treatment trial of patients with mild to moderate Alzheimer disease. In placebo patient 3 from Table 1 (panel A), the right hippocampus is slightly larger after 1 year of treatment with placebo relative to baseline. In contrast, in atorvastatin patient 2 from Table 1 (panel B), the right hippocampus is much smaller after 1 year of treatment with atorvastatin.
The reduction in total hippocampal volume was greater in the atorvastatin group than in the placebo group (Table 1), but the difference was not statistically significant. This effect seems to have been driven by the highly significant reduction in right hippocampal volume in the atorvastatin group relative to the placebo group (P =.008), as illustrated in Figure 2.

No significant correlations were found between change in cognitive performance and change in hip-pocampal volume.

DISCUSSION

The preponderance of evidence clearly indicates that hippocampal volume is reduced in patients with AD compared with individuals with normal cognitive ability for their age. There is also evidence indicating that as cognitive performance deteriorates in AD patients, there are concurrent further reductions in hippocampal volume.54 Many studies reported that there was no significant volume difference between the right and left hippocampi, but most suggested that the left hip-pocampus was slightly smaller than the right.54–58 We identified no significant difference in volume between the sides, but we did find that the right hippocampus was smaller than the left in a very limited population of subjects with mild to moderate AD.

The major finding of this pilot study flies in the face of conventional wisdom in that there seems to be significant shrinkage of the right hippocampus with atorvastatin therapy compared with placebo in a randomized AD treatment trial that demonstrated clinical benefit with atorvastatin therapy.44 A similar finding was reported from the beta-amyloid immunization (AN1792) treatment trial in AD.59 In that study the active immunization was associated with significant clinical benefit, reduced beta-amyloid load, and reduced hippocampal volume.59 The authors suggested that removal of beta-amyloid and/or other protein constituents from the tissue might have caused a “fluid shift” out of the tissue, resulting in shrinkage.

Based on our previous finding of reduced brain tissue density in AD patients compared with age-matched normal controls,48 an alternative explanation can be proposed. Neuronal loss in the hippocampus may be accompanied by increased fluid balance (reduced density) in an attempt to retain the previous volume at the expense of function. Accordingly, as the hippocampus shrinks, it approaches a more normal density for the remaining neuronal complement, and cognitive function improves.

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  32. Hajjar I, Schumpert J, Hirth V, Wieland D, Eleazer GP. The impact of the use of statins on the prevalence of dementia and the progression of cognitive impairment. J Gerontol A Biol Sci Med Sci 2002; 57:M414–M418.
  33. Etminan M, Gill S, Samii A. The role of lipid-lowering drugs in cognitive function: a meta-analysis of observational studies. Pharmacotherapy 2003; 23:726–730.
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  35. Li G, Higdon R, Kukull WA, et al. Statin therapy and risk of dementia in the elderly: a community-based prospective cohort study. Neurology 2004; 63:1624–1628.
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  37. Rea TD, Breitner JC, Psaty BM, et al. Statin use and the risk of incident dementia: the Cardiovascular Health Study. Arch Neurol 2005; 62:1047–1051.
  38. Masse I, Bordet R, Deplanque D, et al. Lipid lowering agents are associated with a slower cognitive decline in Alzheimer’s disease. J Neurol Neurosurg Psychiatry 2005; 76:1624–1629.
  39. Bernick C, Katz R, Smith NL, et al. Statins and cognitive function in the elderly: the Cardiovascular Health Study. Neurology 2005; 65:1388–1394.
  40. Starr JM, McGurn B, Whiteman M, Pattie A, Whalley LJ, Deary IJ. Life long changes in cognitive ability are associated with prescribed medications in old age. Int J Geriatr Psychiatry 2004; 19:327–332.
  41. Shepherd J, Blauw GJ, Murphy MB, et al. Pravastatin in elderly individuals at risk of vascular disease (PROSPER): a randomised controlled trial. Lancet 2002; 360:1623–1630.
  42. Heart Protection Study Collaborative Group. MRC/BHF Heart Protection Study of cholesterol lowering with simvastatin in 20,536 high-risk individuals: a randomised placebo-controlled trial. Lancet 2002; 360:7–22.
  43. Parale GP, Baheti NN, Kulkarni PM, Panchal NV. Effects of atorvastatin on higher functions. Eur J Clin Pharmacol 2006; 62:259–265.
  44. Sparks DL, Sabbagh MN, Connor DJ, et al. Atorvastatin for the treatment of mild to moderate Alzheimer disease: preliminary results. Arch Neurol 2005; 62:753–757.
  45. Sparks DL, Sabbagh M, Connor D, et al. Statin therapy in Alzheimer’s disease. Acta Neurol Scand 2006; 114(Suppl 185):78–86.
  46. Stankovic G, Sparks DL. Change in circulating C-reactive protein is not associated with atorvastatin treatment in Alzheimer’s disease. Neurol Res 2006; 28:621–624.
  47. Sparks DL, Connor DJ, Sabbagh MN, Petersen RB, Lopez J, Browne P. Circulating cholesterol levels, apolipoprotein E genotype and dementia severity influence the benefit of atorvastatin treatment in Alzheimer’s disease: results of the Alzheimer’s Disease Cholesterol-Lowering Treatment (ADCLT) trial. Acta Neurol Scand 2006; 114(Suppl 185):3–7.
  48. Baxter LC, Sparks DL, Johnson SC, et al. Relationship of cognitive measures and gray and white matter in Alzheimer’s disease. J Alzheimers Dis 2006; 9:253–260.
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Author and Disclosure Information

D. Larry Sparks, PhD
Roberts Laboratory for Neurodegenerative Disease Research, Sun Health Research Institute, Sun City, AZ

Susan K. Lemieux, PhD
Center for Advanced Imaging, Department of Radiology, West Virginia University School of Medicine, Morgantown, WV

Marc W. Haut, PhD
Departments of Behavioral Medicine/Psychiatry and Neurology, West Virginia University School of Medicine, Morgantown, WV

Leslie C. Baxter, PhD
Neuroimaging Neuropsychology Laboratory, Barrow Neurological Institute, Phoenix, AZ

Sterling C. Johnson, PhD
Department of Radiology, University of Wisconsin–Madison, Madison, WI

Lisa M. Sparks, BS
Roberts Laboratory for Neurodegenerative Disease Research, Sun Health Research Institute, Sun City, AZ

Hemalatha Sampath, BSEE
Center for Advanced Imaging, Department of Radiology, West Virginia University School of Medicine, Morgantown, WV

Jean E. Lopez, RN
Cleo Roberts Clinical Research Center, Sun Health Research Institute, Sun City, AZ

Marwan H. Sabbagh, MD
Cleo Roberts Clinical Research Center, Sun Health Research Institute, Sun City, AZ

Donald J. Connor, PhD
Cleo Roberts Clinical Research Center, Sun Health Research Institute, Sun City, AZ

Correspondence: D. Larry Sparks, PhD, 10515 W. Santa Fe Drive, Sun City, AZ 85351; [email protected]

This study was supported in part by the Institute for the Study of Aging and Pfizer, Inc.

Dr. Sparks reported that he is an independent contractor for Eisai Inc. and Ono Pharmaceutical, a consultant and teacher/speaker for Pfizer Inc., and a consultant for Resverlogix Corp.

Publications
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S87-S93
Author and Disclosure Information

D. Larry Sparks, PhD
Roberts Laboratory for Neurodegenerative Disease Research, Sun Health Research Institute, Sun City, AZ

Susan K. Lemieux, PhD
Center for Advanced Imaging, Department of Radiology, West Virginia University School of Medicine, Morgantown, WV

Marc W. Haut, PhD
Departments of Behavioral Medicine/Psychiatry and Neurology, West Virginia University School of Medicine, Morgantown, WV

Leslie C. Baxter, PhD
Neuroimaging Neuropsychology Laboratory, Barrow Neurological Institute, Phoenix, AZ

Sterling C. Johnson, PhD
Department of Radiology, University of Wisconsin–Madison, Madison, WI

Lisa M. Sparks, BS
Roberts Laboratory for Neurodegenerative Disease Research, Sun Health Research Institute, Sun City, AZ

Hemalatha Sampath, BSEE
Center for Advanced Imaging, Department of Radiology, West Virginia University School of Medicine, Morgantown, WV

Jean E. Lopez, RN
Cleo Roberts Clinical Research Center, Sun Health Research Institute, Sun City, AZ

Marwan H. Sabbagh, MD
Cleo Roberts Clinical Research Center, Sun Health Research Institute, Sun City, AZ

Donald J. Connor, PhD
Cleo Roberts Clinical Research Center, Sun Health Research Institute, Sun City, AZ

Correspondence: D. Larry Sparks, PhD, 10515 W. Santa Fe Drive, Sun City, AZ 85351; [email protected]

This study was supported in part by the Institute for the Study of Aging and Pfizer, Inc.

Dr. Sparks reported that he is an independent contractor for Eisai Inc. and Ono Pharmaceutical, a consultant and teacher/speaker for Pfizer Inc., and a consultant for Resverlogix Corp.

Author and Disclosure Information

D. Larry Sparks, PhD
Roberts Laboratory for Neurodegenerative Disease Research, Sun Health Research Institute, Sun City, AZ

Susan K. Lemieux, PhD
Center for Advanced Imaging, Department of Radiology, West Virginia University School of Medicine, Morgantown, WV

Marc W. Haut, PhD
Departments of Behavioral Medicine/Psychiatry and Neurology, West Virginia University School of Medicine, Morgantown, WV

Leslie C. Baxter, PhD
Neuroimaging Neuropsychology Laboratory, Barrow Neurological Institute, Phoenix, AZ

Sterling C. Johnson, PhD
Department of Radiology, University of Wisconsin–Madison, Madison, WI

Lisa M. Sparks, BS
Roberts Laboratory for Neurodegenerative Disease Research, Sun Health Research Institute, Sun City, AZ

Hemalatha Sampath, BSEE
Center for Advanced Imaging, Department of Radiology, West Virginia University School of Medicine, Morgantown, WV

Jean E. Lopez, RN
Cleo Roberts Clinical Research Center, Sun Health Research Institute, Sun City, AZ

Marwan H. Sabbagh, MD
Cleo Roberts Clinical Research Center, Sun Health Research Institute, Sun City, AZ

Donald J. Connor, PhD
Cleo Roberts Clinical Research Center, Sun Health Research Institute, Sun City, AZ

Correspondence: D. Larry Sparks, PhD, 10515 W. Santa Fe Drive, Sun City, AZ 85351; [email protected]

This study was supported in part by the Institute for the Study of Aging and Pfizer, Inc.

Dr. Sparks reported that he is an independent contractor for Eisai Inc. and Ono Pharmaceutical, a consultant and teacher/speaker for Pfizer Inc., and a consultant for Resverlogix Corp.

Article PDF
Article PDF

Alzheimer disease (AD) is a degenerative disorder characterized by a gradual deterioration in memory. In its clinically overt stages, obvious signs of neural degeneration on magnetic resonance imaging (MRI) appear as global cerebral atrophy. Even in the earliest stages of the disease, regional cell loss can be observed, particularly in the mesial temporal lobe regions, specifically the hippocampus and entorhinal cortex.1–3

MRI is used primarily as a diagnostic tool to rule out conditions other than AD. However, MRI may be useful in understanding whether the underlying processes that are associated with these cognitive changes can be attributed to general or specific effects of the disease process. Volumetric changes observed with MRI in the hippocampal region have been correlated with disease progression4,5 and predict development of AD in individuals with isolated memory impairment,6 suggesting that neuroimaging quantification may serve as a useful measure of brain integrity in patients with AD.

New treatments for AD are emerging, and assessing their efficacy is of critical importance. The rationale for testing statin drugs as a therapy for AD was bolstered by ever-mounting preclinical animal and human data suggesting that elevated circulating cholesterol exacerbates AD-like pathology and that statin treatment, in part, reverses the effect of cholesterol. This article surveys current evidence on the association between cholesterol and AD as well as between statin use and AD risk. We conclude by focusing on results from the first clinical investigation of statin therapy in patients with AD and present new results of a substudy of this trial examining the morphologic effects of statin therapy in AD patients.

LINK BETWEEN CHOLESTEROL AND AD

Early epidemiologic surveys suggested an association between a high-fat/high-cholesterol diet and increased risk of AD,7–10 and this suggestion has been supported by more recent investigations.11,12 Cholesterol levels are increased in the blood of AD patients,7,13–16 and increased cholesterol has been observed in the AD brain as a function of the apolipoprotein E allotype.8,17

Numerous clinical studies suggest a link between elevated cholesterol and increased risk of AD,17–23 with one study reporting a threefold increase in the risk of AD with elevated serum cholesterol, even after adjusting for age and presence of the apolipoprotein E4 allele.19 Another study indicates that persistently elevated cholesterol levels in midlife increase the risk of AD.23 A retrospective analysis of the Framingham Study suggested, however, that there is no relationship between total cholesterol levels and risk of incident AD.24 A more recent report indicated that language performance in elderly subjects without dementia declined faster among those individuals with higher cholesterol levels, but this effect did not remain significant after accounting for multiple comparisons.25 In contrast, the Three-City Study, a population-based cohort investigation of 9,294 subjects in France, demonstrated a significant increase in the risk of dementia among subjects who had hyperlipidemia (odds ratio [OR] = 1.43; 95% confidence interval [CI], 1.03 to 1.99).12

STATIN USE AND RISK OF AD

The preponderance of clinical data suggests that statin therapy may reduce the risk of AD later in life. Since the initial epidemiologic investigation assessing the effect of statin use on later risk of AD in the elderly, there have been 13 additional studies; all but two of these studies have reported benefit with cholesterol-lowering therapy.

In the two earliest epidemiologic studies, Wolozin et al demonstrated benefit with the use of lovastatin and pravastatin, but not with simvastatin or non-statin therapy,26 and Jick et al showed benefit associated with cholesterol-lowering therapy, but not specifically with statin use.27 Five epidemiologic studies published in 2002 suggested that prior statin use reduced the risk of dementia or AD.28–32 Meta-analysis of these first seven retrospective studies suggested a significant reduction in the risk of later cognitive impairment with statin use (relative risk = 0.43; 95% CI, 0.31 to 0.62), but the risk reduction with lipid-lowering agents collectively (not just statins) was not statistically significant.33

In 2004, Zamrini et al reported a 39% reduction in the risk of AD in statin users compared with nonusers (OR = 0.61; 95% CI, 0.42 to 0.87).34 That same year, Li et al suggested that there was no association between statin use and a reduced incidence of probable AD using a time-dependent proportional hazards model, but if the data were analyzed (inappropriately) as a case-control study, a significant protective effect was identified.35

Data from the Cache County Study cohort demonstrated no significant reduction in the risk of AD with statin use but allowed for the possibility that some benefit could be provided with longer-term statin therapy.36 In constrast, the Three-City Study of 9,294 individuals in France identified a significant reduction in the risk of AD with statin use (OR = 0.61; 95% CI, 0.41 to 0.91).12 Rea et al reported that prior statin use did not decrease the risk of dementia or AD, but when they included in their analysis individuals currently using a statin, there was a significant reduction in the hazard ratios for AD and for all-cause dementia.37 The two most recent epidemiologic studies both suggest that statin therapy slows cognitive decline in AD.38,39

COGNITIVE PERFORMANCE AND STATIN USE

A retrospective cohort study that assessed intelligence and cognition at a young age and again when subjects were in their 80s indicated that statin use had a significant beneficial effect on cognitive ability.40

In contrast, two very large prospective studies published in 2002 suggested that statins produce no positive effect on cognition in younger individuals at risk for heart disease.41,42 The Prospective Study of Pravastatin in the Elderly at Risk (PROSPER) found that the mean Mini-Mental State Examination (MMSE) score, which was assessed only at subjects’ last on-treatment clinical visit, was comparable between the study’s pravastatin and placebo groups.41 Likewise, the Medical Research Council/British Heart Foundation (MRC/BHF) Heart Protection Study, which used the Telephone Interview for Cognitive Status questionnaire at the end of the investigation, reported that simvastatin had no positive effect on cognitive performance compared with placebo, but this finding was obtained in the absence of baseline data.42 Given the limited cognitive assessments performed in these two studies, no firm conclusions should be drawn.

A more recent prospective comparison of atorvastatin and placebo in younger subjects did include baseline and follow-up assessment of cognitive function, and it identified significantly superior performance in the statin-treated population on the MMSE and on tests of attention, psychomotor speed, mental flexibility, working memory, and memory retrieval.43

 

 

STATIN TREATMENT OF AD: THE AD CHOLESTEROL-LOWERING TREATMENT TRIAL

The initial clinical investigation of statin therapy in patients with AD—the Alzheimer’s Disease Cholesterol-Lowering Treatment (ADCLT) trial—involved atorvastatin.44 Patients with mild to moderate AD were randomized to either placebo or 80 mg/day of atorvastatin for a 1-year period. Evaluable data were available for 63 patients (32 in the atorvastatin group, 31 in the placebo group). End points included the change in performance on the following measures:

MMSE

  • Alzheimer’s Disease Assessment Scale–cognitive subscale (ADAS-cog)
  • Neuropsychiatric Inventory Caregiver Distress Scale (NPI)
  • Clinical Global Impression of Change scale (CGIC)
  • Alzheimer’s Disease Cooperative Study–Activities of Daily Living Inventory (ADCS-ADL)
  • Geriatric Depression Scale (GDS).

Cognitive results

In the setting of continued cholinesterase inhibitor use, atorvastatin provided significant benefit on the ADAS-cog at 26 weeks compared with placebo (P = .003) and marginally significant benefit at 1 year (P = .055) while producing a trend for benefit on the CGIC and NPI and a statistically significant improvement on the GDS after 1 year of active treatment.44 The observed benefit on the MMSE with atorvastatin versus placebo did not reach statistical significance, and no discernible difference was observed on the ADCS-ADL.44 In contrast, a significant difference in the slope of deterioration on the MMSE and the GDS in the atorvastatin group versus the placebo group suggested disease modification.45

Blood test results

Figure 1. Mean circulating triglyceride levels from all evaluable subjects (N = 63) in the Alzheimer’s Disease Cholesterol-Lowering Treatment (ADCLT) trial. After insuring compliance for fasting blood draws, triglyceride levels were determined every quarter during the study. Atorvastatin recipients had a significant 30% increase in triglyceride levels compared with placebo controls (P < .05).
Levels of total cholesterol, low-density lipoprotein cholesterol, and very-low-density lipoprotein cholesterol were significantly reduced between 3 and 12 months in the atorvastatin group compared with the placebo group;44 levels of high-density lipoprotein cholesterol were decreased by 12 months of atorvastatin therapy,45 but the circulating free radical load was unchanged,45 as were levels of C-reactive protein.46 Notably, after assuring fasting compliance, we found that triglyceride levels were significantly increased by atorvastatin treatment in AD patients (Figure 1).

Secondary analysis and initial morphometric substudy

Secondary assessment indicated that the subjects who garnered the greatest benefit from atorvastatin therapy in terms of their 6-month ADAS-cog score were those who had higher cholesterol levels at trial entry, those who harbored the apolipoprotein E4 allele, and those who were less affected by AD at trial entry (ie, with higher entry MMSE scores).47

In an ADCLT substudy using new voxel-based morphometry techniques, we quantitatively assessed gray matter density in 15 ADCLT trial participants and compared it with density findings in 15 normal elderly controls.48 Regional reductions in gray matter density were observed in the AD patients compared with the controls. Large differences in gray matter concentration were observed bilaterally in the temporal lobe. The anterior cingulate, right superior temporal, left superior frontal, and posterior cingulate regions also showed significantly decreased gray matter density in the AD patients compared with the controls. A significant relationship was observed between gray matter density and ADAS-cog error scores—ie, more severe levels of cognitive impairment correlated with reduced gray matter density.48

PILOT SUBSTUDY OF ADCLT: ASSESSING MORPHOLOGIC CHANGES WITH STATIN THERAPY

Eleven of the 15 ADCLT trial participants from the above morphometric substudy returned for MRI assessment after 1 year of treatment with either atorvastatin or placebo. We report here the comparative effects of atorvastatin and placebo on hippocampal volume and the relationship with cognitive performance.

Participants

Subjects were participating in the ADCLT trial, an investigator-initiated, double-blind, placebo-controlled study. Neuroimaging was performed at the Barrow Neurological Institute, Phoenix, AZ, for a subset of the participants in the trial (n = 11) as a pilot study to examine neural changes associated with atorvastatin therapy.

Each patient underwent screening, assignment to either atorvastatin 80 mg/day or placebo, and medical and cognitive assessment at Sun Health Research Institute, Sun City, AZ, prior to imaging at Barrow. All  patients met Diagnostic and Statistical Manual of Mental Disorders, fourth edition, criteria for dementia as well as NINCDS-ADRDA criteria for probable AD. Each patient was free of significant psychiatric and neurological history and had a score of 4 or less on the Hachinski Modified Ischemia Scale. All MRIs were reviewed by a neuroradiologist to ensure that there was no evidence of stroke or cortical or lacunar infarcts.

Both sites’ institutional review boards approved this project, and all subjects gave written informed consent.

Cognitive assessment

A primary efficacy measure used in the parent study was the ADAS-cog,49 and the MMSE50 was a secondary measure. Change scores were determined by comparing values obtained at baseline, prior to randomization to treatment with either atorvastatin or placebo, and after 1 year of treatment. MMSE scores were obtained at the same session as the ADAS-cog scores. Cognitive assessments were obtained within 2 weeks prior to MRI.

Image acquisition

All participants underwent imaging on a single 1.5­tesla GE scanner at Barrow Neurological Institute. Imaging was conducted both prior to treatment randomization and again after 1 year of treatment. Images of the whole brain were collected using a coronal SPGR (spoiled gradient) T1-weighted, three-dimensional acquisition with the following parameters:

  • Number of acquisitions = 1
  • Repetition time = 23 msec
  • Echo time = 8 msec
  • Flip angle = 35 degrees
  • Bandwidth = 12.5 kHz
  • Slice thickness = 1.5 mm or 1.9 mm
  • 0 skip between slices
  • In-plane resolution = 0.9375 x 0.9375.

Hippocampal volumetrics

All imaging analysis was performed within the Analysis of Functional Neuroimages (AFNI) package.51 We traced the outline of the hippocampus using the three-dimensional SPGR images. The hippocampi were visualized in all three planes, landmarked in the coronal and sagittal planes, and drawn in the coronal plane. We employed the guidelines of Insausti et al52 and Machulda et al53 to define the hippocampal boundaries. First we defined the anterior boundary by observing the white matter band and/or the cerebrospinal fluid space between the amygdala and hippocampus in the sagittal plane. The posterior aspect of the posterior region was initially landmarked in the sagittal plane by locating the posterior edge of the hippocampus and then checking in the coronal plane to ensure that the fornices were completely visualized. Volumes were calculated by importing the extracted hippocampi into MATLAB to measure the volumes.

 

 

Statistical analyses

Mean differences between the atorvastatin and placebo groups were evaluated using two-tailed Student t tests. Correlation between changes in cognitive measures and changes in the hippocampal volume for the total population and for the treatment groups was determined using Pearson’s r coefficient. Significance was defined as a P value less than .05; a P value between .05 and .10 was deemed a trend.

Results

There was no difference in age or in years of education between the atorvastatin and the placebo groups (Table 1).

In contrast to other studies,54–58 we found in this pilot study that right hippocampal volume was slightly less than left hippocampal volume (2,015 ± 141 mm3 vs 2,135 ± 183 mm3).

Mean changes in performance on the ADAS-cog and MMSE were less pronounced in the atorvastatin group than in the placebo group, but not significantly so (Table 1). However, there was a trend toward superiority in the atorvastatin group on performance on the free word-recall subscale of the ADAS-cog.

Figure 2. Differential effects of placebo and atorvastatin therapy on size of the right hippocampus in a pilot substudy of the Alzheimer’s Disease Cholesterol-Lowering Treatment trial of patients with mild to moderate Alzheimer disease. In placebo patient 3 from Table 1 (panel A), the right hippocampus is slightly larger after 1 year of treatment with placebo relative to baseline. In contrast, in atorvastatin patient 2 from Table 1 (panel B), the right hippocampus is much smaller after 1 year of treatment with atorvastatin.
The reduction in total hippocampal volume was greater in the atorvastatin group than in the placebo group (Table 1), but the difference was not statistically significant. This effect seems to have been driven by the highly significant reduction in right hippocampal volume in the atorvastatin group relative to the placebo group (P =.008), as illustrated in Figure 2.

No significant correlations were found between change in cognitive performance and change in hip-pocampal volume.

DISCUSSION

The preponderance of evidence clearly indicates that hippocampal volume is reduced in patients with AD compared with individuals with normal cognitive ability for their age. There is also evidence indicating that as cognitive performance deteriorates in AD patients, there are concurrent further reductions in hippocampal volume.54 Many studies reported that there was no significant volume difference between the right and left hippocampi, but most suggested that the left hip-pocampus was slightly smaller than the right.54–58 We identified no significant difference in volume between the sides, but we did find that the right hippocampus was smaller than the left in a very limited population of subjects with mild to moderate AD.

The major finding of this pilot study flies in the face of conventional wisdom in that there seems to be significant shrinkage of the right hippocampus with atorvastatin therapy compared with placebo in a randomized AD treatment trial that demonstrated clinical benefit with atorvastatin therapy.44 A similar finding was reported from the beta-amyloid immunization (AN1792) treatment trial in AD.59 In that study the active immunization was associated with significant clinical benefit, reduced beta-amyloid load, and reduced hippocampal volume.59 The authors suggested that removal of beta-amyloid and/or other protein constituents from the tissue might have caused a “fluid shift” out of the tissue, resulting in shrinkage.

Based on our previous finding of reduced brain tissue density in AD patients compared with age-matched normal controls,48 an alternative explanation can be proposed. Neuronal loss in the hippocampus may be accompanied by increased fluid balance (reduced density) in an attempt to retain the previous volume at the expense of function. Accordingly, as the hippocampus shrinks, it approaches a more normal density for the remaining neuronal complement, and cognitive function improves.

Alzheimer disease (AD) is a degenerative disorder characterized by a gradual deterioration in memory. In its clinically overt stages, obvious signs of neural degeneration on magnetic resonance imaging (MRI) appear as global cerebral atrophy. Even in the earliest stages of the disease, regional cell loss can be observed, particularly in the mesial temporal lobe regions, specifically the hippocampus and entorhinal cortex.1–3

MRI is used primarily as a diagnostic tool to rule out conditions other than AD. However, MRI may be useful in understanding whether the underlying processes that are associated with these cognitive changes can be attributed to general or specific effects of the disease process. Volumetric changes observed with MRI in the hippocampal region have been correlated with disease progression4,5 and predict development of AD in individuals with isolated memory impairment,6 suggesting that neuroimaging quantification may serve as a useful measure of brain integrity in patients with AD.

New treatments for AD are emerging, and assessing their efficacy is of critical importance. The rationale for testing statin drugs as a therapy for AD was bolstered by ever-mounting preclinical animal and human data suggesting that elevated circulating cholesterol exacerbates AD-like pathology and that statin treatment, in part, reverses the effect of cholesterol. This article surveys current evidence on the association between cholesterol and AD as well as between statin use and AD risk. We conclude by focusing on results from the first clinical investigation of statin therapy in patients with AD and present new results of a substudy of this trial examining the morphologic effects of statin therapy in AD patients.

LINK BETWEEN CHOLESTEROL AND AD

Early epidemiologic surveys suggested an association between a high-fat/high-cholesterol diet and increased risk of AD,7–10 and this suggestion has been supported by more recent investigations.11,12 Cholesterol levels are increased in the blood of AD patients,7,13–16 and increased cholesterol has been observed in the AD brain as a function of the apolipoprotein E allotype.8,17

Numerous clinical studies suggest a link between elevated cholesterol and increased risk of AD,17–23 with one study reporting a threefold increase in the risk of AD with elevated serum cholesterol, even after adjusting for age and presence of the apolipoprotein E4 allele.19 Another study indicates that persistently elevated cholesterol levels in midlife increase the risk of AD.23 A retrospective analysis of the Framingham Study suggested, however, that there is no relationship between total cholesterol levels and risk of incident AD.24 A more recent report indicated that language performance in elderly subjects without dementia declined faster among those individuals with higher cholesterol levels, but this effect did not remain significant after accounting for multiple comparisons.25 In contrast, the Three-City Study, a population-based cohort investigation of 9,294 subjects in France, demonstrated a significant increase in the risk of dementia among subjects who had hyperlipidemia (odds ratio [OR] = 1.43; 95% confidence interval [CI], 1.03 to 1.99).12

STATIN USE AND RISK OF AD

The preponderance of clinical data suggests that statin therapy may reduce the risk of AD later in life. Since the initial epidemiologic investigation assessing the effect of statin use on later risk of AD in the elderly, there have been 13 additional studies; all but two of these studies have reported benefit with cholesterol-lowering therapy.

In the two earliest epidemiologic studies, Wolozin et al demonstrated benefit with the use of lovastatin and pravastatin, but not with simvastatin or non-statin therapy,26 and Jick et al showed benefit associated with cholesterol-lowering therapy, but not specifically with statin use.27 Five epidemiologic studies published in 2002 suggested that prior statin use reduced the risk of dementia or AD.28–32 Meta-analysis of these first seven retrospective studies suggested a significant reduction in the risk of later cognitive impairment with statin use (relative risk = 0.43; 95% CI, 0.31 to 0.62), but the risk reduction with lipid-lowering agents collectively (not just statins) was not statistically significant.33

In 2004, Zamrini et al reported a 39% reduction in the risk of AD in statin users compared with nonusers (OR = 0.61; 95% CI, 0.42 to 0.87).34 That same year, Li et al suggested that there was no association between statin use and a reduced incidence of probable AD using a time-dependent proportional hazards model, but if the data were analyzed (inappropriately) as a case-control study, a significant protective effect was identified.35

Data from the Cache County Study cohort demonstrated no significant reduction in the risk of AD with statin use but allowed for the possibility that some benefit could be provided with longer-term statin therapy.36 In constrast, the Three-City Study of 9,294 individuals in France identified a significant reduction in the risk of AD with statin use (OR = 0.61; 95% CI, 0.41 to 0.91).12 Rea et al reported that prior statin use did not decrease the risk of dementia or AD, but when they included in their analysis individuals currently using a statin, there was a significant reduction in the hazard ratios for AD and for all-cause dementia.37 The two most recent epidemiologic studies both suggest that statin therapy slows cognitive decline in AD.38,39

COGNITIVE PERFORMANCE AND STATIN USE

A retrospective cohort study that assessed intelligence and cognition at a young age and again when subjects were in their 80s indicated that statin use had a significant beneficial effect on cognitive ability.40

In contrast, two very large prospective studies published in 2002 suggested that statins produce no positive effect on cognition in younger individuals at risk for heart disease.41,42 The Prospective Study of Pravastatin in the Elderly at Risk (PROSPER) found that the mean Mini-Mental State Examination (MMSE) score, which was assessed only at subjects’ last on-treatment clinical visit, was comparable between the study’s pravastatin and placebo groups.41 Likewise, the Medical Research Council/British Heart Foundation (MRC/BHF) Heart Protection Study, which used the Telephone Interview for Cognitive Status questionnaire at the end of the investigation, reported that simvastatin had no positive effect on cognitive performance compared with placebo, but this finding was obtained in the absence of baseline data.42 Given the limited cognitive assessments performed in these two studies, no firm conclusions should be drawn.

A more recent prospective comparison of atorvastatin and placebo in younger subjects did include baseline and follow-up assessment of cognitive function, and it identified significantly superior performance in the statin-treated population on the MMSE and on tests of attention, psychomotor speed, mental flexibility, working memory, and memory retrieval.43

 

 

STATIN TREATMENT OF AD: THE AD CHOLESTEROL-LOWERING TREATMENT TRIAL

The initial clinical investigation of statin therapy in patients with AD—the Alzheimer’s Disease Cholesterol-Lowering Treatment (ADCLT) trial—involved atorvastatin.44 Patients with mild to moderate AD were randomized to either placebo or 80 mg/day of atorvastatin for a 1-year period. Evaluable data were available for 63 patients (32 in the atorvastatin group, 31 in the placebo group). End points included the change in performance on the following measures:

MMSE

  • Alzheimer’s Disease Assessment Scale–cognitive subscale (ADAS-cog)
  • Neuropsychiatric Inventory Caregiver Distress Scale (NPI)
  • Clinical Global Impression of Change scale (CGIC)
  • Alzheimer’s Disease Cooperative Study–Activities of Daily Living Inventory (ADCS-ADL)
  • Geriatric Depression Scale (GDS).

Cognitive results

In the setting of continued cholinesterase inhibitor use, atorvastatin provided significant benefit on the ADAS-cog at 26 weeks compared with placebo (P = .003) and marginally significant benefit at 1 year (P = .055) while producing a trend for benefit on the CGIC and NPI and a statistically significant improvement on the GDS after 1 year of active treatment.44 The observed benefit on the MMSE with atorvastatin versus placebo did not reach statistical significance, and no discernible difference was observed on the ADCS-ADL.44 In contrast, a significant difference in the slope of deterioration on the MMSE and the GDS in the atorvastatin group versus the placebo group suggested disease modification.45

Blood test results

Figure 1. Mean circulating triglyceride levels from all evaluable subjects (N = 63) in the Alzheimer’s Disease Cholesterol-Lowering Treatment (ADCLT) trial. After insuring compliance for fasting blood draws, triglyceride levels were determined every quarter during the study. Atorvastatin recipients had a significant 30% increase in triglyceride levels compared with placebo controls (P < .05).
Levels of total cholesterol, low-density lipoprotein cholesterol, and very-low-density lipoprotein cholesterol were significantly reduced between 3 and 12 months in the atorvastatin group compared with the placebo group;44 levels of high-density lipoprotein cholesterol were decreased by 12 months of atorvastatin therapy,45 but the circulating free radical load was unchanged,45 as were levels of C-reactive protein.46 Notably, after assuring fasting compliance, we found that triglyceride levels were significantly increased by atorvastatin treatment in AD patients (Figure 1).

Secondary analysis and initial morphometric substudy

Secondary assessment indicated that the subjects who garnered the greatest benefit from atorvastatin therapy in terms of their 6-month ADAS-cog score were those who had higher cholesterol levels at trial entry, those who harbored the apolipoprotein E4 allele, and those who were less affected by AD at trial entry (ie, with higher entry MMSE scores).47

In an ADCLT substudy using new voxel-based morphometry techniques, we quantitatively assessed gray matter density in 15 ADCLT trial participants and compared it with density findings in 15 normal elderly controls.48 Regional reductions in gray matter density were observed in the AD patients compared with the controls. Large differences in gray matter concentration were observed bilaterally in the temporal lobe. The anterior cingulate, right superior temporal, left superior frontal, and posterior cingulate regions also showed significantly decreased gray matter density in the AD patients compared with the controls. A significant relationship was observed between gray matter density and ADAS-cog error scores—ie, more severe levels of cognitive impairment correlated with reduced gray matter density.48

PILOT SUBSTUDY OF ADCLT: ASSESSING MORPHOLOGIC CHANGES WITH STATIN THERAPY

Eleven of the 15 ADCLT trial participants from the above morphometric substudy returned for MRI assessment after 1 year of treatment with either atorvastatin or placebo. We report here the comparative effects of atorvastatin and placebo on hippocampal volume and the relationship with cognitive performance.

Participants

Subjects were participating in the ADCLT trial, an investigator-initiated, double-blind, placebo-controlled study. Neuroimaging was performed at the Barrow Neurological Institute, Phoenix, AZ, for a subset of the participants in the trial (n = 11) as a pilot study to examine neural changes associated with atorvastatin therapy.

Each patient underwent screening, assignment to either atorvastatin 80 mg/day or placebo, and medical and cognitive assessment at Sun Health Research Institute, Sun City, AZ, prior to imaging at Barrow. All  patients met Diagnostic and Statistical Manual of Mental Disorders, fourth edition, criteria for dementia as well as NINCDS-ADRDA criteria for probable AD. Each patient was free of significant psychiatric and neurological history and had a score of 4 or less on the Hachinski Modified Ischemia Scale. All MRIs were reviewed by a neuroradiologist to ensure that there was no evidence of stroke or cortical or lacunar infarcts.

Both sites’ institutional review boards approved this project, and all subjects gave written informed consent.

Cognitive assessment

A primary efficacy measure used in the parent study was the ADAS-cog,49 and the MMSE50 was a secondary measure. Change scores were determined by comparing values obtained at baseline, prior to randomization to treatment with either atorvastatin or placebo, and after 1 year of treatment. MMSE scores were obtained at the same session as the ADAS-cog scores. Cognitive assessments were obtained within 2 weeks prior to MRI.

Image acquisition

All participants underwent imaging on a single 1.5­tesla GE scanner at Barrow Neurological Institute. Imaging was conducted both prior to treatment randomization and again after 1 year of treatment. Images of the whole brain were collected using a coronal SPGR (spoiled gradient) T1-weighted, three-dimensional acquisition with the following parameters:

  • Number of acquisitions = 1
  • Repetition time = 23 msec
  • Echo time = 8 msec
  • Flip angle = 35 degrees
  • Bandwidth = 12.5 kHz
  • Slice thickness = 1.5 mm or 1.9 mm
  • 0 skip between slices
  • In-plane resolution = 0.9375 x 0.9375.

Hippocampal volumetrics

All imaging analysis was performed within the Analysis of Functional Neuroimages (AFNI) package.51 We traced the outline of the hippocampus using the three-dimensional SPGR images. The hippocampi were visualized in all three planes, landmarked in the coronal and sagittal planes, and drawn in the coronal plane. We employed the guidelines of Insausti et al52 and Machulda et al53 to define the hippocampal boundaries. First we defined the anterior boundary by observing the white matter band and/or the cerebrospinal fluid space between the amygdala and hippocampus in the sagittal plane. The posterior aspect of the posterior region was initially landmarked in the sagittal plane by locating the posterior edge of the hippocampus and then checking in the coronal plane to ensure that the fornices were completely visualized. Volumes were calculated by importing the extracted hippocampi into MATLAB to measure the volumes.

 

 

Statistical analyses

Mean differences between the atorvastatin and placebo groups were evaluated using two-tailed Student t tests. Correlation between changes in cognitive measures and changes in the hippocampal volume for the total population and for the treatment groups was determined using Pearson’s r coefficient. Significance was defined as a P value less than .05; a P value between .05 and .10 was deemed a trend.

Results

There was no difference in age or in years of education between the atorvastatin and the placebo groups (Table 1).

In contrast to other studies,54–58 we found in this pilot study that right hippocampal volume was slightly less than left hippocampal volume (2,015 ± 141 mm3 vs 2,135 ± 183 mm3).

Mean changes in performance on the ADAS-cog and MMSE were less pronounced in the atorvastatin group than in the placebo group, but not significantly so (Table 1). However, there was a trend toward superiority in the atorvastatin group on performance on the free word-recall subscale of the ADAS-cog.

Figure 2. Differential effects of placebo and atorvastatin therapy on size of the right hippocampus in a pilot substudy of the Alzheimer’s Disease Cholesterol-Lowering Treatment trial of patients with mild to moderate Alzheimer disease. In placebo patient 3 from Table 1 (panel A), the right hippocampus is slightly larger after 1 year of treatment with placebo relative to baseline. In contrast, in atorvastatin patient 2 from Table 1 (panel B), the right hippocampus is much smaller after 1 year of treatment with atorvastatin.
The reduction in total hippocampal volume was greater in the atorvastatin group than in the placebo group (Table 1), but the difference was not statistically significant. This effect seems to have been driven by the highly significant reduction in right hippocampal volume in the atorvastatin group relative to the placebo group (P =.008), as illustrated in Figure 2.

No significant correlations were found between change in cognitive performance and change in hip-pocampal volume.

DISCUSSION

The preponderance of evidence clearly indicates that hippocampal volume is reduced in patients with AD compared with individuals with normal cognitive ability for their age. There is also evidence indicating that as cognitive performance deteriorates in AD patients, there are concurrent further reductions in hippocampal volume.54 Many studies reported that there was no significant volume difference between the right and left hippocampi, but most suggested that the left hip-pocampus was slightly smaller than the right.54–58 We identified no significant difference in volume between the sides, but we did find that the right hippocampus was smaller than the left in a very limited population of subjects with mild to moderate AD.

The major finding of this pilot study flies in the face of conventional wisdom in that there seems to be significant shrinkage of the right hippocampus with atorvastatin therapy compared with placebo in a randomized AD treatment trial that demonstrated clinical benefit with atorvastatin therapy.44 A similar finding was reported from the beta-amyloid immunization (AN1792) treatment trial in AD.59 In that study the active immunization was associated with significant clinical benefit, reduced beta-amyloid load, and reduced hippocampal volume.59 The authors suggested that removal of beta-amyloid and/or other protein constituents from the tissue might have caused a “fluid shift” out of the tissue, resulting in shrinkage.

Based on our previous finding of reduced brain tissue density in AD patients compared with age-matched normal controls,48 an alternative explanation can be proposed. Neuronal loss in the hippocampus may be accompanied by increased fluid balance (reduced density) in an attempt to retain the previous volume at the expense of function. Accordingly, as the hippocampus shrinks, it approaches a more normal density for the remaining neuronal complement, and cognitive function improves.

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  56. Pruessner JC, Collins DL, Pruessner M, Evans AC. Age and gender predict volume decline in the anterior and posterior hippocam-pus in early adulthood. J Neurosci 2001; 21:194–200.
  57. Hackert VH, den Heijer T, Oudkerk M, Koudstaal PJ, Hofman A, Breteler MM. Hippocampal head size associated with verbal memory performance in nondemented elderly. Neuroimage 2002; 17:1365–1372.
  58. Rosen AC, Prull MW, Gabrieli JD, et al. Differential associations between entorhinal and hippocampal volumes and memory performance in older adults. Behav Neurosci 2003; 117:1150–1160.
  59. Fox NC, Black RS, Gilman S, et al. Effects of Abeta immunization (AN1792) on MRI measures of cerebral volume in Alzheimer disease. Neurology 2005; 64:1563–1572.
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  5. Jack CR Jr, Petersen RC, Xu Y, et al. Rates of hippocampal atrophy correlate with change in clinical status in aging and AD. Neurology 2000; 55:484–489.
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  7. Jarvik GP, Wijsman EM, Kukull WA, Schellenberg GD, Yu C, Larson EB. Interactions of apolipoprotein E genotype, total cholesterol level, age, and sex in prediction of Alzheimer’s disease: a case-control study. Neurology 1995; 45:1092–1096.
  8. Sparks DL. Coronary artery disease, hypertension, ApoE, and cholesterol: a link to Alzheimer’s disease? Ann N Y Acad Sci 1997; 826:128–146.
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  12. Dufouil C, Richard F, Fiévet N, et al. APOE genotype, cholesterol level, lipid-lowering treatment, and dementia: the Three-City Study. Neurology 2005; 64:1531–1538.
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  16. Mahieux F, Couderc R, Moulignier A, Bailleul S, Podrabinek N, Laudet J. Isoform 4 of apolipoprotein E and Alzheimer disease. Specificity and clinical study [in French]. Rev Neurol (Paris) 1995; 151:231–239.
  17. Kuo YM, Emmerling MR, Bisgaier CL, et al. Elevated low-density lipoprotein in Alzheimer’s disease correlates with brain abeta 1-42 levels. Biochem Biophys Res Commun 1998; 252:711–715.
  18. Chandra V, Pandav R. Gene-environment interaction in Alzheimer’s disease: a potential role for cholesterol. Neuroepidemiology 1998; 17:225–232.
  19. Notkola IL, Sulkava R, Pekkanen J, et al. Serum total cholesterol, apolipoprotein E epsilon 4 allele, and Alzheimer’s disease. Neuroepidemiology 1998; 17:14–20.
  20. Olson RE. Discovery of the lipoproteins, their role in fat transport and their significance as risk factors. J Nutr 1998; 128(2 Suppl):439S–443S.
  21. Kalmijn S, Launer LJ, Ott A, Witteman JC, Hofman A, Breteler MM. Dietary fat intake and the risk of incident dementia in the Rotterdam Study. Ann Neurol 1997; 42:776–782.
  22. Kuusisto J, Koivisto K, Mykkänen L, et al. Association between features of the insulin resistance syndrome and Alzheimer’s disease independently of apolipoprotein E4 phenotype: cross sectional population based study. BMJ 1997; 315:1045–1049.
  23. Kivipelto M, Helkala E-L, Hallikainen M, et al. Elevated systolic blood pressure and high cholesterol levels at midlife are risk factors for late-life dementia [abstract]. Neurobiol Aging 2000; 21(Suppl 1):S174. Abstract 787.
  24. Tan ZS, Seshadri S, Beiser A, et al. Plasma total cholesterol level as a risk factor for Alzheimer disease: the Framingham Study. Arch Intern Med 2003; 163:1053–1057.
  25. Reitz C, Luchsinger J, Tang MX, Manly J, Mayeux R. Impact of plasma lipids and time on memory performance in healthy elderly without dementia. Neurology 2005; 64:1378–1383.
  26. Wolozin B, Kellman W, Ruosseau P, Celesia GG, Siegel G. Decreased prevalence of Alzheimer disease associated with 3­hydroxy-3-methyglutaryl coenzyme A reductase inhibitors. Arch Neurol 2000; 57:1439–1443.
  27. Jick H, Zornberg G, Jick SS, Seshadri S, Drachman DA. Statins and the risk of dementia. Lancet 2000; 356:1627–1631.
  28. Green RC, McNagny SE, Jayakumar P, Cupples LA, Benke K, Farrer L. Statin use is associated with reduced risk of Alzheimer’s disease [abstract]. Neurology 2002; 58(Suppl 3):A81. Abstract S10.006.
  29. Rodriguez EG, Dodge HH, Birzescu MA, Stoehr GP, Ganguli M. Use of lipid-lowering drugs in older adults with and without dementia: a community-based epidemiological study. J Am Geriatr Soc 2002; 50:1852–1856.
  30. Rockwood K, Kirkland S, Hogan DB, et al. Use of lipid-lowering agents, indication bias, and the risk of dementia in community-dwelling elderly people. Arch Neurol 2002; 59:223–227.
  31. Yaffe K, Barrett-Connor E, Lin F, Grady D. Serum lipoprotein levels, statin use, and cognitive function in older women. Arch Neurol 2002; 59:378–384.
  32. Hajjar I, Schumpert J, Hirth V, Wieland D, Eleazer GP. The impact of the use of statins on the prevalence of dementia and the progression of cognitive impairment. J Gerontol A Biol Sci Med Sci 2002; 57:M414–M418.
  33. Etminan M, Gill S, Samii A. The role of lipid-lowering drugs in cognitive function: a meta-analysis of observational studies. Pharmacotherapy 2003; 23:726–730.
  34. Zamrini E, McGwin G, Roseman JM. Association between statin use and Alzheimer’s disease. Neuroepidemiology 2004; 23:94–98.
  35. Li G, Higdon R, Kukull WA, et al. Statin therapy and risk of dementia in the elderly: a community-based prospective cohort study. Neurology 2004; 63:1624–1628.
  36. Zandi PP, Sparks DL, Khachaturian AS, et al. Do statins reduce risk of incident dementia and Alzheimer disease? The Cache County Study. Arch Gen Psychiatry 2005; 62:217–224.
  37. Rea TD, Breitner JC, Psaty BM, et al. Statin use and the risk of incident dementia: the Cardiovascular Health Study. Arch Neurol 2005; 62:1047–1051.
  38. Masse I, Bordet R, Deplanque D, et al. Lipid lowering agents are associated with a slower cognitive decline in Alzheimer’s disease. J Neurol Neurosurg Psychiatry 2005; 76:1624–1629.
  39. Bernick C, Katz R, Smith NL, et al. Statins and cognitive function in the elderly: the Cardiovascular Health Study. Neurology 2005; 65:1388–1394.
  40. Starr JM, McGurn B, Whiteman M, Pattie A, Whalley LJ, Deary IJ. Life long changes in cognitive ability are associated with prescribed medications in old age. Int J Geriatr Psychiatry 2004; 19:327–332.
  41. Shepherd J, Blauw GJ, Murphy MB, et al. Pravastatin in elderly individuals at risk of vascular disease (PROSPER): a randomised controlled trial. Lancet 2002; 360:1623–1630.
  42. Heart Protection Study Collaborative Group. MRC/BHF Heart Protection Study of cholesterol lowering with simvastatin in 20,536 high-risk individuals: a randomised placebo-controlled trial. Lancet 2002; 360:7–22.
  43. Parale GP, Baheti NN, Kulkarni PM, Panchal NV. Effects of atorvastatin on higher functions. Eur J Clin Pharmacol 2006; 62:259–265.
  44. Sparks DL, Sabbagh MN, Connor DJ, et al. Atorvastatin for the treatment of mild to moderate Alzheimer disease: preliminary results. Arch Neurol 2005; 62:753–757.
  45. Sparks DL, Sabbagh M, Connor D, et al. Statin therapy in Alzheimer’s disease. Acta Neurol Scand 2006; 114(Suppl 185):78–86.
  46. Stankovic G, Sparks DL. Change in circulating C-reactive protein is not associated with atorvastatin treatment in Alzheimer’s disease. Neurol Res 2006; 28:621–624.
  47. Sparks DL, Connor DJ, Sabbagh MN, Petersen RB, Lopez J, Browne P. Circulating cholesterol levels, apolipoprotein E genotype and dementia severity influence the benefit of atorvastatin treatment in Alzheimer’s disease: results of the Alzheimer’s Disease Cholesterol-Lowering Treatment (ADCLT) trial. Acta Neurol Scand 2006; 114(Suppl 185):3–7.
  48. Baxter LC, Sparks DL, Johnson SC, et al. Relationship of cognitive measures and gray and white matter in Alzheimer’s disease. J Alzheimers Dis 2006; 9:253–260.
  49. Rosen WG, Mohs RC, Davis KL. A new rating scale for Alzheimer’s disease. Am J Psychiatry 1984; 141:1356–1364.
  50. Folstein MF, Folstein SE, McHugh PR. “Mini-Mental State”: a practical method for grading the mental state of patients for the clinician. J Psychiatr Res 1975; 12:189–198.
  51. Cox RW. AFNI: sofware for analysis and visualization of functional magnetic resonance neuroimages. Comput Biomed Res 1996; 29:162–173.
  52. Insausti R, Juottonen K, Soininen H, et al. MR volumetric analysis of the human entorhinal, perirhinal, and temporopolar cortices. AJNR Am J Neuroradiol 1998; 19:659–671.
  53. Machulda MM, Ward HA, Cha R, O’Brien P, Jack CR Jr. Functional inferences vary with the method of analysis in fMRI. Neuroimage 2001; 14:1122–1127.
  54. Jack CR Jr, Slomkowski M, Gracon S, et al. MRI as a biomarker of disease progression in a therapeutic trial of milameline for AD. Neurology 2003; 60:253–260.
  55. Pruessner JC, Li LM, Serles W, et al. Volumetry of hippocampus and amygdala with high-resolution MRI and three-dimensional analysis software: minimizing the discrepancies between laboratories. Cereb Cortex 2000; 10:433–442.
  56. Pruessner JC, Collins DL, Pruessner M, Evans AC. Age and gender predict volume decline in the anterior and posterior hippocam-pus in early adulthood. J Neurosci 2001; 21:194–200.
  57. Hackert VH, den Heijer T, Oudkerk M, Koudstaal PJ, Hofman A, Breteler MM. Hippocampal head size associated with verbal memory performance in nondemented elderly. Neuroimage 2002; 17:1365–1372.
  58. Rosen AC, Prull MW, Gabrieli JD, et al. Differential associations between entorhinal and hippocampal volumes and memory performance in older adults. Behav Neurosci 2003; 117:1150–1160.
  59. Fox NC, Black RS, Gilman S, et al. Effects of Abeta immunization (AN1792) on MRI measures of cerebral volume in Alzheimer disease. Neurology 2005; 64:1563–1572.
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Heart-brain interactions in cardiac arrhythmias: Role of the autonomic nervous system

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Heart-brain interactions in cardiac arrhythmias: Role of the autonomic nervous system

The autonomic nervous system has an important role in the genesis, maintenance, and interruption of ventricular arrhythmias.1 In most instances, sympathetic activation precipitates or enhances ventricular arrhythmias, whereas vagal tone suppresses their occurrence.2,3 Therefore, modulating autonomic tone has been proposed as a method to potentially suppress ventricular arrhythmias.4

An important mechanism underlying the development of ventricular arrhythmias is electrophysiologic heterogeneity. Electrical heterogeneity predisposes to the development of reentrant arrhythmias and other types of arrhythmias.5

SYMPATHETIC AND PARASYMPATHETIC INNERVATION OF THE HEART

Sympathetic nerve fibers are located subepicardially and travel along the routes of the major coronary arteries. In contrast, the vagus nerve is subendocardial in its location after it crosses the atrioventricular groove. A lesion of the heart produced by infarct or fibrosis can result in denervation of otherwise normal myocardium by interruption of neural axons traveling through the lesion. A defect in sympathetic function following myocardial infarction (MI) has been demonstrated in both animals and humans as measured by iodine-123-metaiodobenzylguanidine (MIBG) and C-11 hydroxyephedrine.6

Reduced uptake of MIBG in the inferior wall has recently been observed in patients with idiopathic ventricular fibrillation as compared with controls. Although no difference in survival could be detected between the two groups, patients with reduced uptake of MIBG had an increased incidence of ventricular tachyarrhythmias compared with those who did not have such a defect.7

Similar observations of sympathetic dysfunction have been made in a variety of animal models and humans with heart failure, coronary disease, and ventricular tachycardia in the absence of structural heart disease. In such instances, the speculation is that sympathetic heterogeneity may produce electrical heterogeneity and spur the development of ventricular arrhythmias. The arrhythmic mechanism is probably more complex than this description, however, because the response to sympathetic inhibition using beta-blockers is not uniform.

Evidence of nerve sprouting

Using a growth-associated protein antibody that marks axonal growth, nerve sprouting has been demonstrated in mice in areas of denervation following MI.8 Similarly, using growth-associated protein 43 staining, researchers have demonstrated nerve sprouting in the right atrial free wall, right atrial isthmus, and right ventricle in dogs after radiofrequency catheter ablation.9

Neural component in ventricular arrhythmias

Sympathetic hypersensitivity has been shown in areas of denervation, which may be related in part to nerve sprouting. Other sympathetic and electrical phenomena following myocardial injury include an upregulation of nerve growth factor, a heterogeneous distribution of sympathetic innervation, and electrical heterogeneity with areas of denervation, hyperinnervation, and normal nerve density.

Two discoveries by Chen and colleagues are perhaps most noteworthy. One is that nerve growth factor infusion and stellate ganglion stimulation following MI increase nerve density and ventricular arrhythmias, with increased burst frequency discharge of the stellate ganglion prior to the onset of ventricular tachycardia/ventricular fibrillation (VT/VF) in dogs.8 More recently, they have shown that infusion of nerve growth factor into the stellate ganglion prolongs the QT interval and prolongs ventricular arrhythmias.10

A relationship has been established between the hyperinnervation that occurs following myocardial injury and ventricular arrhythmias. Using immunocytochemical staining in explanted native hearts of transplant recipients, Chen and colleagues demonstrated colocalization of Schwann cells, sympathetic nerves, and nerve axons, as well as regional cardiac hyperinnervation, with the most abundant nerve sprouting in the areas bordering myocardial injury and normal myocardium.8 In addition, they demonstrated positive tyrosine hydroxylase staining of cardiac nerves in areas around coronary arteries in patients with coronary disease and idiopathic dilated nonischemic cardiomyopathy. At the origin of ventricular tachycardia (prior to transplant), nerve sprouting was shown by staining for S100 protein and tyrosine hydroxylase. The authors hypothesized that nerve sprouting may give rise to ventricular arrhythmia and sudden cardiac death, in which MI results in nerve injury, followed by sympathetic nerve sprouting and regional myocardial hyperinnervation.10

A link with circadian variations in QT interval length?

The observation that nerve growth factor infused into the left stellate ganglion prolongs the QT interval and prolongs ventricular arrhythmias, resulting in an inordinate risk of sudden death, is fascinating in the context of recent findings of a circadian variation in duration of the QT interval. In measuring QT intervals in 3,700 men without ventricular arrhythmias, we found that the QT interval peaked in winter (between October and January), with a 6-msec difference between the longest and shortest QT intervals.11 This increase in the QT interval in winter coincides with an increase in the incidence of sudden death, which occurs in many regions of the world regardless of climate. Whether or not this increase in sudden death in winter is related to a longer QT interval is supposition, but the potential interaction deserves further exploration. A similar surge in sudden death in winter was observed in patients who were eligible for an implantable cardioverter-defibrillator (ICD) but did not receive one, as opposed to those who did receive an ICD, which suggests that the mechanism responsible for the increase in sudden death in winter is a ventricular tachyarrhythmia that can be prevented by an ICD.12

How sympathetic hyperinnervation promotes cardiac arrhythmias is speculative, but increased density of sympathetic nerve endings could promote the release of sympathetic neurotransmitters during sympathetic excitation. The autonomic remodeling is associated with heterogeneous electrical remodeling of cardiomyocytes, resulting in prolongation of action potentials in hyperinnervated regions. Further, acute release of sympathetic neurotransmitters probably accentuates the heterogeneity of excitability and refractoriness, likely contributing to arrhythmia susceptibility.5

 

 

PHARMACOLOGIC SYMPATHETIC BLOCKADE

Inhibiting sympathetic activity pharmacologically reduces the incidence of sudden cardiac death in patients with heart failure. In the Eplerenone Post-Acute Myocardial Infarction Heart Failure Efficacy and Survival Study (EPHESUS), the aldosterone inhibitor eplerenone was associated with a clear reduction in sudden cardiac arrest in patients with acute MI complicated by left ventricular dysfunction.13 Beta-blockers and angiotensin-converting enzyme inhibitors have had the same effect. These findings indicate that adverse electrophysiologic consequences from sympathetic stimulation may contribute to the development of a pro-arrhythmic substrate, and that antagonizing sympathetic activation can reduce the extent of adverse electrical remodeling to reduce the risk of sudden cardiac death.

SPINAL CORD STIMULATION

Acute spinal cord stimulation

The possibility of using spinal cord stimulation to modulate cardiac arrhythmias is intriguing, as electrodes introduced paraspinally may activate nerves that could affect sympathetic function. In Europe, spinal cord stimulation is already approved for treatment of patients with intractable angina and end-stage coronary disease.

The mechanism responsible for elimination of angina pectoris via carotid sinus massage is presumably an increase in vagal activity to the heart. In a study of whether thoracic spinal cord stimulation eliminates angina pectoris via a vagal mechanism, Olgin et al confirmed that spinal cord stimulation at the T1-T2 segments enhanced parasympathetic activity and that this action is mediated via the vagus.14 These findings suggest that thoracic spinal cord stimulation may protect against ventricular arrhythmias through its effect on autonomic tone.

This suggestion led to the development of a canine model of spontaneous ventricular arrhythmias to investigate the mechanisms responsible for ventricular arrhythmias related to acute myocardial ischemia in the setting of healed MI.15 An infarct was produced via occlusion of the left anterior descending coronary artery and a permanent ventricular pacemaker was placed. After a 2-week recovery period, heart failure was induced by continuous rapid ventricular pacing for 2 to 3 weeks. Transient myocardial ischemia was induced by transient occlusion of the proximal left circumflex coronary artery. Seventy-two percent of dogs surviving the rapid pacing period developed VT/VF during acute left circumflex artery occlusion or within 1 to 2 minutes thereafter.

The effect of thoracic spinal cord stimulation applied at the dorsal T1-T2 segments was studied on the surviving dogs.16 Spinal cord stimulation reduced the occurrence of VT/VF from 59% to 23%.

Another study examined the effect of intrathecal clonidine, an alpha-2 antagonist that reduces concentrations of catecholamines, on ventricular arrhythmias in the canine model.17 Ischemia-induced VT/VF occurred in 9 of 12 dogs before administration of intrathecal clonidine in contrast to only 3 of 12 dogs after clonidine administration, a degree of efficacy similar to that with spinal cord stimulation.

Chronic spinal cord stimulation

Studies of the effects of chronic thoracic spinal cord stimulation on ventricular function and ventricular arrhythmias in a canine postinfarction heart failure model have recently been completed, and the results will be published in the near future.18

CONCLUSIONS

Sudden cardiac death continues to be a major health problem in Western countries. Many approaches have been explored in attempting to reduce this modern-day plague.19 A better understanding of the risks, mechanisms, and treatments is required.20 An animal model has demonstrated that acute modulation of autonomic tone with thoracic spinal cord stimulation or intrathe-cal clonidine reduces susceptibility to ischemic ventricular arrhythmias, presumably via a sympatholytic mechanism. Modulation of autonomic tone—sympatholytic, vagomimetic, or both—may play a significant role in protecting against spontaneous and ischemic ventricular tachyarrhythmias.

References
  1. Tomaselli GF, Zipes DP. What causes sudden death in heart failure? Circ Res 2004; 95:754–763.
  2. Zipes DP. Autonomic modulation of cardiac arrhythmias. In: Zipes DP, Jalife J, eds. Cardiac Electrophysiology: From Cell to Bedside. 2nd ed. Philadelphia, PA: WB Saunders Co.; 1994:365–395.
  3. Schwartz PJ. Sympathetic imbalance and cardiac arrhythmias. In: Randall WC, ed. Nervous Control of Cardiovascular Function. New York: Oxford University Press; 1984:225–252.
  4. Zipes DP, Rubart M. Neural modulation of cardiac arrhythmias and sudden death. Heart Rhythm 2006; 3:108–113.
  5. Rubart M, Zipes DP. Mechanisms of sudden cardiac death. J Clin Invest 2005; 115:2305–2315.
  6. Stanton MS, Tuli MM, Radtke NL, et al. Regional sympathetic denervation after myocardial infarction in humans detected noninvasively using I-123-metaiodobenzylguanidine. J Am Coll Cardiol 1989; 14:1519–1526.
  7. Paul M, Schäfers M, Kies P, et al. Impact of sympathetic innervation on recurrent life-threatening arrhythmias in the follow-up of patients with idiopathic ventricular fibrillation. Eur J Nucl Med Mol Imaging 2006; 33:862–865.
  8. Chen P-S, Chen LS, Cao J-M, Sharifi B, Karagueuzian HS, Fishbein MC. Sympathetic nerve sprouting, electrical remodeling and the mechanisms of sudden cardiac death. Cardiovasc Res 2001; 50:409–416.
  9. Cao J-M, Fishbein MC, Han JB, et al. Relationship between regional cardiac hyperinnervation and ventricular arrhythmia. Circulation 2000; 101:1960–1969.
  10. Cao JM, Chen LS, KenKnight BH, et al. Nerve sprouting and sudden cardiac death. Circ Res 2000; 86:816–821.
  11. Beyerbach DM, Kovacs RJ, Dmitrienko AA, Rebhun DM, Zipes DP. Heart rate corrected QT interval in men increases during winter months. Heart Rhythm 2007; 4:277–281.
  12. Page RL, Zipes DP, Powell JL, et al. Seasonal variation of mortality in the Antiarrhythmics Versus Implantable Defibrillators (AVID) study registry. Heart Rhythm 2004; 1:435–440.
  13. Pitt B, Gheorghiade M, Zannad F, et al. Evaluation of eplerenone in the subgroup of EPHESUS patients with baseline left ventricular ejection fraction ≤30%. Eur J Heart Fail 2006; 8:295–301.
  14. Olgin JE, Takahashi T, Wilson E, Vereckei A, Steinberg H, Zipes DP. Effects of thoracic spinal cord stimulation on cardiac autonomic regulation of the sinus and atrioventricular nodes. J Cardiovasc Electrophysiol 2002; 13:475–481.
  15. Issa ZF, Rosenberger J, Groh WJ, Miller JM, Zipes DP. Ischemic ventricular arrhythmias during heart failure: a canine model to replicate clinical events. Heart Rhythm 2005; 2:979–983.
  16. Issa ZF, Zhou X, Ujhelyi MR, et al. Thoracic spinal cord stimulation reduces the risk of ischemic ventricular arrhythmias in a postinfarction heart failure canine model. Circulation 2005; 111:3217–3220.
  17. Issa ZF, Ujhelyi MR, Hildebrand KR, et al. Intrathecal clonidine reduces the incidence of ischemic provoked ventricular arrhythmias in a canine postinfarction heart failure model. Heart Rhythm 2005; 2:1122–1127.
  18. Lopshire JC, Zhou X, Rosenberger J, et al. Spinal cord stimulation improves ventricular function and reduces ventricular arrhythmias in a canine post-infarction heart failure model [abstract]. Heart Rhythm 2007; 4(5 Suppl):S105.
  19. Zipes DP, Camm AJ, Borggrefe M, et al. ACC/AHA/ESC 2006 guidelines for management of patients with ventricular arrhythmias and the prevention of sudden cardiac death: a report of the American College of Cardiology/American Heart Association Task Force and the European Society of Cardiology Committee for Practice Guidelines. J Am Coll Cardiol 2006; 48:e247–e346.
  20. Lopshire JC, Zipes DP. Sudden cardiac death: better understanding of risks, mechanisms, and treatment. Circulation 2006; 114:1134–1136.
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Douglas P. Zipes, MD
Director, Division of Cardiology, Krannert Institute of Cardiology, Indiana University School of Medicine, Indianapolis, IN

Correspondence: Douglas P. Zipes, MD, Krannert Institute of Cardiology, Indiana University, 1801 North Capitol, Indianapolis, IN 46202; [email protected]

Dr. Zipes reported that he serves as a consultant to and has received grant support from Medtronic, Inc., and serves as a consultant to and holds equity interest in Physical Logic.

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Douglas P. Zipes, MD
Director, Division of Cardiology, Krannert Institute of Cardiology, Indiana University School of Medicine, Indianapolis, IN

Correspondence: Douglas P. Zipes, MD, Krannert Institute of Cardiology, Indiana University, 1801 North Capitol, Indianapolis, IN 46202; [email protected]

Dr. Zipes reported that he serves as a consultant to and has received grant support from Medtronic, Inc., and serves as a consultant to and holds equity interest in Physical Logic.

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Douglas P. Zipes, MD
Director, Division of Cardiology, Krannert Institute of Cardiology, Indiana University School of Medicine, Indianapolis, IN

Correspondence: Douglas P. Zipes, MD, Krannert Institute of Cardiology, Indiana University, 1801 North Capitol, Indianapolis, IN 46202; [email protected]

Dr. Zipes reported that he serves as a consultant to and has received grant support from Medtronic, Inc., and serves as a consultant to and holds equity interest in Physical Logic.

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The autonomic nervous system has an important role in the genesis, maintenance, and interruption of ventricular arrhythmias.1 In most instances, sympathetic activation precipitates or enhances ventricular arrhythmias, whereas vagal tone suppresses their occurrence.2,3 Therefore, modulating autonomic tone has been proposed as a method to potentially suppress ventricular arrhythmias.4

An important mechanism underlying the development of ventricular arrhythmias is electrophysiologic heterogeneity. Electrical heterogeneity predisposes to the development of reentrant arrhythmias and other types of arrhythmias.5

SYMPATHETIC AND PARASYMPATHETIC INNERVATION OF THE HEART

Sympathetic nerve fibers are located subepicardially and travel along the routes of the major coronary arteries. In contrast, the vagus nerve is subendocardial in its location after it crosses the atrioventricular groove. A lesion of the heart produced by infarct or fibrosis can result in denervation of otherwise normal myocardium by interruption of neural axons traveling through the lesion. A defect in sympathetic function following myocardial infarction (MI) has been demonstrated in both animals and humans as measured by iodine-123-metaiodobenzylguanidine (MIBG) and C-11 hydroxyephedrine.6

Reduced uptake of MIBG in the inferior wall has recently been observed in patients with idiopathic ventricular fibrillation as compared with controls. Although no difference in survival could be detected between the two groups, patients with reduced uptake of MIBG had an increased incidence of ventricular tachyarrhythmias compared with those who did not have such a defect.7

Similar observations of sympathetic dysfunction have been made in a variety of animal models and humans with heart failure, coronary disease, and ventricular tachycardia in the absence of structural heart disease. In such instances, the speculation is that sympathetic heterogeneity may produce electrical heterogeneity and spur the development of ventricular arrhythmias. The arrhythmic mechanism is probably more complex than this description, however, because the response to sympathetic inhibition using beta-blockers is not uniform.

Evidence of nerve sprouting

Using a growth-associated protein antibody that marks axonal growth, nerve sprouting has been demonstrated in mice in areas of denervation following MI.8 Similarly, using growth-associated protein 43 staining, researchers have demonstrated nerve sprouting in the right atrial free wall, right atrial isthmus, and right ventricle in dogs after radiofrequency catheter ablation.9

Neural component in ventricular arrhythmias

Sympathetic hypersensitivity has been shown in areas of denervation, which may be related in part to nerve sprouting. Other sympathetic and electrical phenomena following myocardial injury include an upregulation of nerve growth factor, a heterogeneous distribution of sympathetic innervation, and electrical heterogeneity with areas of denervation, hyperinnervation, and normal nerve density.

Two discoveries by Chen and colleagues are perhaps most noteworthy. One is that nerve growth factor infusion and stellate ganglion stimulation following MI increase nerve density and ventricular arrhythmias, with increased burst frequency discharge of the stellate ganglion prior to the onset of ventricular tachycardia/ventricular fibrillation (VT/VF) in dogs.8 More recently, they have shown that infusion of nerve growth factor into the stellate ganglion prolongs the QT interval and prolongs ventricular arrhythmias.10

A relationship has been established between the hyperinnervation that occurs following myocardial injury and ventricular arrhythmias. Using immunocytochemical staining in explanted native hearts of transplant recipients, Chen and colleagues demonstrated colocalization of Schwann cells, sympathetic nerves, and nerve axons, as well as regional cardiac hyperinnervation, with the most abundant nerve sprouting in the areas bordering myocardial injury and normal myocardium.8 In addition, they demonstrated positive tyrosine hydroxylase staining of cardiac nerves in areas around coronary arteries in patients with coronary disease and idiopathic dilated nonischemic cardiomyopathy. At the origin of ventricular tachycardia (prior to transplant), nerve sprouting was shown by staining for S100 protein and tyrosine hydroxylase. The authors hypothesized that nerve sprouting may give rise to ventricular arrhythmia and sudden cardiac death, in which MI results in nerve injury, followed by sympathetic nerve sprouting and regional myocardial hyperinnervation.10

A link with circadian variations in QT interval length?

The observation that nerve growth factor infused into the left stellate ganglion prolongs the QT interval and prolongs ventricular arrhythmias, resulting in an inordinate risk of sudden death, is fascinating in the context of recent findings of a circadian variation in duration of the QT interval. In measuring QT intervals in 3,700 men without ventricular arrhythmias, we found that the QT interval peaked in winter (between October and January), with a 6-msec difference between the longest and shortest QT intervals.11 This increase in the QT interval in winter coincides with an increase in the incidence of sudden death, which occurs in many regions of the world regardless of climate. Whether or not this increase in sudden death in winter is related to a longer QT interval is supposition, but the potential interaction deserves further exploration. A similar surge in sudden death in winter was observed in patients who were eligible for an implantable cardioverter-defibrillator (ICD) but did not receive one, as opposed to those who did receive an ICD, which suggests that the mechanism responsible for the increase in sudden death in winter is a ventricular tachyarrhythmia that can be prevented by an ICD.12

How sympathetic hyperinnervation promotes cardiac arrhythmias is speculative, but increased density of sympathetic nerve endings could promote the release of sympathetic neurotransmitters during sympathetic excitation. The autonomic remodeling is associated with heterogeneous electrical remodeling of cardiomyocytes, resulting in prolongation of action potentials in hyperinnervated regions. Further, acute release of sympathetic neurotransmitters probably accentuates the heterogeneity of excitability and refractoriness, likely contributing to arrhythmia susceptibility.5

 

 

PHARMACOLOGIC SYMPATHETIC BLOCKADE

Inhibiting sympathetic activity pharmacologically reduces the incidence of sudden cardiac death in patients with heart failure. In the Eplerenone Post-Acute Myocardial Infarction Heart Failure Efficacy and Survival Study (EPHESUS), the aldosterone inhibitor eplerenone was associated with a clear reduction in sudden cardiac arrest in patients with acute MI complicated by left ventricular dysfunction.13 Beta-blockers and angiotensin-converting enzyme inhibitors have had the same effect. These findings indicate that adverse electrophysiologic consequences from sympathetic stimulation may contribute to the development of a pro-arrhythmic substrate, and that antagonizing sympathetic activation can reduce the extent of adverse electrical remodeling to reduce the risk of sudden cardiac death.

SPINAL CORD STIMULATION

Acute spinal cord stimulation

The possibility of using spinal cord stimulation to modulate cardiac arrhythmias is intriguing, as electrodes introduced paraspinally may activate nerves that could affect sympathetic function. In Europe, spinal cord stimulation is already approved for treatment of patients with intractable angina and end-stage coronary disease.

The mechanism responsible for elimination of angina pectoris via carotid sinus massage is presumably an increase in vagal activity to the heart. In a study of whether thoracic spinal cord stimulation eliminates angina pectoris via a vagal mechanism, Olgin et al confirmed that spinal cord stimulation at the T1-T2 segments enhanced parasympathetic activity and that this action is mediated via the vagus.14 These findings suggest that thoracic spinal cord stimulation may protect against ventricular arrhythmias through its effect on autonomic tone.

This suggestion led to the development of a canine model of spontaneous ventricular arrhythmias to investigate the mechanisms responsible for ventricular arrhythmias related to acute myocardial ischemia in the setting of healed MI.15 An infarct was produced via occlusion of the left anterior descending coronary artery and a permanent ventricular pacemaker was placed. After a 2-week recovery period, heart failure was induced by continuous rapid ventricular pacing for 2 to 3 weeks. Transient myocardial ischemia was induced by transient occlusion of the proximal left circumflex coronary artery. Seventy-two percent of dogs surviving the rapid pacing period developed VT/VF during acute left circumflex artery occlusion or within 1 to 2 minutes thereafter.

The effect of thoracic spinal cord stimulation applied at the dorsal T1-T2 segments was studied on the surviving dogs.16 Spinal cord stimulation reduced the occurrence of VT/VF from 59% to 23%.

Another study examined the effect of intrathecal clonidine, an alpha-2 antagonist that reduces concentrations of catecholamines, on ventricular arrhythmias in the canine model.17 Ischemia-induced VT/VF occurred in 9 of 12 dogs before administration of intrathecal clonidine in contrast to only 3 of 12 dogs after clonidine administration, a degree of efficacy similar to that with spinal cord stimulation.

Chronic spinal cord stimulation

Studies of the effects of chronic thoracic spinal cord stimulation on ventricular function and ventricular arrhythmias in a canine postinfarction heart failure model have recently been completed, and the results will be published in the near future.18

CONCLUSIONS

Sudden cardiac death continues to be a major health problem in Western countries. Many approaches have been explored in attempting to reduce this modern-day plague.19 A better understanding of the risks, mechanisms, and treatments is required.20 An animal model has demonstrated that acute modulation of autonomic tone with thoracic spinal cord stimulation or intrathe-cal clonidine reduces susceptibility to ischemic ventricular arrhythmias, presumably via a sympatholytic mechanism. Modulation of autonomic tone—sympatholytic, vagomimetic, or both—may play a significant role in protecting against spontaneous and ischemic ventricular tachyarrhythmias.

The autonomic nervous system has an important role in the genesis, maintenance, and interruption of ventricular arrhythmias.1 In most instances, sympathetic activation precipitates or enhances ventricular arrhythmias, whereas vagal tone suppresses their occurrence.2,3 Therefore, modulating autonomic tone has been proposed as a method to potentially suppress ventricular arrhythmias.4

An important mechanism underlying the development of ventricular arrhythmias is electrophysiologic heterogeneity. Electrical heterogeneity predisposes to the development of reentrant arrhythmias and other types of arrhythmias.5

SYMPATHETIC AND PARASYMPATHETIC INNERVATION OF THE HEART

Sympathetic nerve fibers are located subepicardially and travel along the routes of the major coronary arteries. In contrast, the vagus nerve is subendocardial in its location after it crosses the atrioventricular groove. A lesion of the heart produced by infarct or fibrosis can result in denervation of otherwise normal myocardium by interruption of neural axons traveling through the lesion. A defect in sympathetic function following myocardial infarction (MI) has been demonstrated in both animals and humans as measured by iodine-123-metaiodobenzylguanidine (MIBG) and C-11 hydroxyephedrine.6

Reduced uptake of MIBG in the inferior wall has recently been observed in patients with idiopathic ventricular fibrillation as compared with controls. Although no difference in survival could be detected between the two groups, patients with reduced uptake of MIBG had an increased incidence of ventricular tachyarrhythmias compared with those who did not have such a defect.7

Similar observations of sympathetic dysfunction have been made in a variety of animal models and humans with heart failure, coronary disease, and ventricular tachycardia in the absence of structural heart disease. In such instances, the speculation is that sympathetic heterogeneity may produce electrical heterogeneity and spur the development of ventricular arrhythmias. The arrhythmic mechanism is probably more complex than this description, however, because the response to sympathetic inhibition using beta-blockers is not uniform.

Evidence of nerve sprouting

Using a growth-associated protein antibody that marks axonal growth, nerve sprouting has been demonstrated in mice in areas of denervation following MI.8 Similarly, using growth-associated protein 43 staining, researchers have demonstrated nerve sprouting in the right atrial free wall, right atrial isthmus, and right ventricle in dogs after radiofrequency catheter ablation.9

Neural component in ventricular arrhythmias

Sympathetic hypersensitivity has been shown in areas of denervation, which may be related in part to nerve sprouting. Other sympathetic and electrical phenomena following myocardial injury include an upregulation of nerve growth factor, a heterogeneous distribution of sympathetic innervation, and electrical heterogeneity with areas of denervation, hyperinnervation, and normal nerve density.

Two discoveries by Chen and colleagues are perhaps most noteworthy. One is that nerve growth factor infusion and stellate ganglion stimulation following MI increase nerve density and ventricular arrhythmias, with increased burst frequency discharge of the stellate ganglion prior to the onset of ventricular tachycardia/ventricular fibrillation (VT/VF) in dogs.8 More recently, they have shown that infusion of nerve growth factor into the stellate ganglion prolongs the QT interval and prolongs ventricular arrhythmias.10

A relationship has been established between the hyperinnervation that occurs following myocardial injury and ventricular arrhythmias. Using immunocytochemical staining in explanted native hearts of transplant recipients, Chen and colleagues demonstrated colocalization of Schwann cells, sympathetic nerves, and nerve axons, as well as regional cardiac hyperinnervation, with the most abundant nerve sprouting in the areas bordering myocardial injury and normal myocardium.8 In addition, they demonstrated positive tyrosine hydroxylase staining of cardiac nerves in areas around coronary arteries in patients with coronary disease and idiopathic dilated nonischemic cardiomyopathy. At the origin of ventricular tachycardia (prior to transplant), nerve sprouting was shown by staining for S100 protein and tyrosine hydroxylase. The authors hypothesized that nerve sprouting may give rise to ventricular arrhythmia and sudden cardiac death, in which MI results in nerve injury, followed by sympathetic nerve sprouting and regional myocardial hyperinnervation.10

A link with circadian variations in QT interval length?

The observation that nerve growth factor infused into the left stellate ganglion prolongs the QT interval and prolongs ventricular arrhythmias, resulting in an inordinate risk of sudden death, is fascinating in the context of recent findings of a circadian variation in duration of the QT interval. In measuring QT intervals in 3,700 men without ventricular arrhythmias, we found that the QT interval peaked in winter (between October and January), with a 6-msec difference between the longest and shortest QT intervals.11 This increase in the QT interval in winter coincides with an increase in the incidence of sudden death, which occurs in many regions of the world regardless of climate. Whether or not this increase in sudden death in winter is related to a longer QT interval is supposition, but the potential interaction deserves further exploration. A similar surge in sudden death in winter was observed in patients who were eligible for an implantable cardioverter-defibrillator (ICD) but did not receive one, as opposed to those who did receive an ICD, which suggests that the mechanism responsible for the increase in sudden death in winter is a ventricular tachyarrhythmia that can be prevented by an ICD.12

How sympathetic hyperinnervation promotes cardiac arrhythmias is speculative, but increased density of sympathetic nerve endings could promote the release of sympathetic neurotransmitters during sympathetic excitation. The autonomic remodeling is associated with heterogeneous electrical remodeling of cardiomyocytes, resulting in prolongation of action potentials in hyperinnervated regions. Further, acute release of sympathetic neurotransmitters probably accentuates the heterogeneity of excitability and refractoriness, likely contributing to arrhythmia susceptibility.5

 

 

PHARMACOLOGIC SYMPATHETIC BLOCKADE

Inhibiting sympathetic activity pharmacologically reduces the incidence of sudden cardiac death in patients with heart failure. In the Eplerenone Post-Acute Myocardial Infarction Heart Failure Efficacy and Survival Study (EPHESUS), the aldosterone inhibitor eplerenone was associated with a clear reduction in sudden cardiac arrest in patients with acute MI complicated by left ventricular dysfunction.13 Beta-blockers and angiotensin-converting enzyme inhibitors have had the same effect. These findings indicate that adverse electrophysiologic consequences from sympathetic stimulation may contribute to the development of a pro-arrhythmic substrate, and that antagonizing sympathetic activation can reduce the extent of adverse electrical remodeling to reduce the risk of sudden cardiac death.

SPINAL CORD STIMULATION

Acute spinal cord stimulation

The possibility of using spinal cord stimulation to modulate cardiac arrhythmias is intriguing, as electrodes introduced paraspinally may activate nerves that could affect sympathetic function. In Europe, spinal cord stimulation is already approved for treatment of patients with intractable angina and end-stage coronary disease.

The mechanism responsible for elimination of angina pectoris via carotid sinus massage is presumably an increase in vagal activity to the heart. In a study of whether thoracic spinal cord stimulation eliminates angina pectoris via a vagal mechanism, Olgin et al confirmed that spinal cord stimulation at the T1-T2 segments enhanced parasympathetic activity and that this action is mediated via the vagus.14 These findings suggest that thoracic spinal cord stimulation may protect against ventricular arrhythmias through its effect on autonomic tone.

This suggestion led to the development of a canine model of spontaneous ventricular arrhythmias to investigate the mechanisms responsible for ventricular arrhythmias related to acute myocardial ischemia in the setting of healed MI.15 An infarct was produced via occlusion of the left anterior descending coronary artery and a permanent ventricular pacemaker was placed. After a 2-week recovery period, heart failure was induced by continuous rapid ventricular pacing for 2 to 3 weeks. Transient myocardial ischemia was induced by transient occlusion of the proximal left circumflex coronary artery. Seventy-two percent of dogs surviving the rapid pacing period developed VT/VF during acute left circumflex artery occlusion or within 1 to 2 minutes thereafter.

The effect of thoracic spinal cord stimulation applied at the dorsal T1-T2 segments was studied on the surviving dogs.16 Spinal cord stimulation reduced the occurrence of VT/VF from 59% to 23%.

Another study examined the effect of intrathecal clonidine, an alpha-2 antagonist that reduces concentrations of catecholamines, on ventricular arrhythmias in the canine model.17 Ischemia-induced VT/VF occurred in 9 of 12 dogs before administration of intrathecal clonidine in contrast to only 3 of 12 dogs after clonidine administration, a degree of efficacy similar to that with spinal cord stimulation.

Chronic spinal cord stimulation

Studies of the effects of chronic thoracic spinal cord stimulation on ventricular function and ventricular arrhythmias in a canine postinfarction heart failure model have recently been completed, and the results will be published in the near future.18

CONCLUSIONS

Sudden cardiac death continues to be a major health problem in Western countries. Many approaches have been explored in attempting to reduce this modern-day plague.19 A better understanding of the risks, mechanisms, and treatments is required.20 An animal model has demonstrated that acute modulation of autonomic tone with thoracic spinal cord stimulation or intrathe-cal clonidine reduces susceptibility to ischemic ventricular arrhythmias, presumably via a sympatholytic mechanism. Modulation of autonomic tone—sympatholytic, vagomimetic, or both—may play a significant role in protecting against spontaneous and ischemic ventricular tachyarrhythmias.

References
  1. Tomaselli GF, Zipes DP. What causes sudden death in heart failure? Circ Res 2004; 95:754–763.
  2. Zipes DP. Autonomic modulation of cardiac arrhythmias. In: Zipes DP, Jalife J, eds. Cardiac Electrophysiology: From Cell to Bedside. 2nd ed. Philadelphia, PA: WB Saunders Co.; 1994:365–395.
  3. Schwartz PJ. Sympathetic imbalance and cardiac arrhythmias. In: Randall WC, ed. Nervous Control of Cardiovascular Function. New York: Oxford University Press; 1984:225–252.
  4. Zipes DP, Rubart M. Neural modulation of cardiac arrhythmias and sudden death. Heart Rhythm 2006; 3:108–113.
  5. Rubart M, Zipes DP. Mechanisms of sudden cardiac death. J Clin Invest 2005; 115:2305–2315.
  6. Stanton MS, Tuli MM, Radtke NL, et al. Regional sympathetic denervation after myocardial infarction in humans detected noninvasively using I-123-metaiodobenzylguanidine. J Am Coll Cardiol 1989; 14:1519–1526.
  7. Paul M, Schäfers M, Kies P, et al. Impact of sympathetic innervation on recurrent life-threatening arrhythmias in the follow-up of patients with idiopathic ventricular fibrillation. Eur J Nucl Med Mol Imaging 2006; 33:862–865.
  8. Chen P-S, Chen LS, Cao J-M, Sharifi B, Karagueuzian HS, Fishbein MC. Sympathetic nerve sprouting, electrical remodeling and the mechanisms of sudden cardiac death. Cardiovasc Res 2001; 50:409–416.
  9. Cao J-M, Fishbein MC, Han JB, et al. Relationship between regional cardiac hyperinnervation and ventricular arrhythmia. Circulation 2000; 101:1960–1969.
  10. Cao JM, Chen LS, KenKnight BH, et al. Nerve sprouting and sudden cardiac death. Circ Res 2000; 86:816–821.
  11. Beyerbach DM, Kovacs RJ, Dmitrienko AA, Rebhun DM, Zipes DP. Heart rate corrected QT interval in men increases during winter months. Heart Rhythm 2007; 4:277–281.
  12. Page RL, Zipes DP, Powell JL, et al. Seasonal variation of mortality in the Antiarrhythmics Versus Implantable Defibrillators (AVID) study registry. Heart Rhythm 2004; 1:435–440.
  13. Pitt B, Gheorghiade M, Zannad F, et al. Evaluation of eplerenone in the subgroup of EPHESUS patients with baseline left ventricular ejection fraction ≤30%. Eur J Heart Fail 2006; 8:295–301.
  14. Olgin JE, Takahashi T, Wilson E, Vereckei A, Steinberg H, Zipes DP. Effects of thoracic spinal cord stimulation on cardiac autonomic regulation of the sinus and atrioventricular nodes. J Cardiovasc Electrophysiol 2002; 13:475–481.
  15. Issa ZF, Rosenberger J, Groh WJ, Miller JM, Zipes DP. Ischemic ventricular arrhythmias during heart failure: a canine model to replicate clinical events. Heart Rhythm 2005; 2:979–983.
  16. Issa ZF, Zhou X, Ujhelyi MR, et al. Thoracic spinal cord stimulation reduces the risk of ischemic ventricular arrhythmias in a postinfarction heart failure canine model. Circulation 2005; 111:3217–3220.
  17. Issa ZF, Ujhelyi MR, Hildebrand KR, et al. Intrathecal clonidine reduces the incidence of ischemic provoked ventricular arrhythmias in a canine postinfarction heart failure model. Heart Rhythm 2005; 2:1122–1127.
  18. Lopshire JC, Zhou X, Rosenberger J, et al. Spinal cord stimulation improves ventricular function and reduces ventricular arrhythmias in a canine post-infarction heart failure model [abstract]. Heart Rhythm 2007; 4(5 Suppl):S105.
  19. Zipes DP, Camm AJ, Borggrefe M, et al. ACC/AHA/ESC 2006 guidelines for management of patients with ventricular arrhythmias and the prevention of sudden cardiac death: a report of the American College of Cardiology/American Heart Association Task Force and the European Society of Cardiology Committee for Practice Guidelines. J Am Coll Cardiol 2006; 48:e247–e346.
  20. Lopshire JC, Zipes DP. Sudden cardiac death: better understanding of risks, mechanisms, and treatment. Circulation 2006; 114:1134–1136.
References
  1. Tomaselli GF, Zipes DP. What causes sudden death in heart failure? Circ Res 2004; 95:754–763.
  2. Zipes DP. Autonomic modulation of cardiac arrhythmias. In: Zipes DP, Jalife J, eds. Cardiac Electrophysiology: From Cell to Bedside. 2nd ed. Philadelphia, PA: WB Saunders Co.; 1994:365–395.
  3. Schwartz PJ. Sympathetic imbalance and cardiac arrhythmias. In: Randall WC, ed. Nervous Control of Cardiovascular Function. New York: Oxford University Press; 1984:225–252.
  4. Zipes DP, Rubart M. Neural modulation of cardiac arrhythmias and sudden death. Heart Rhythm 2006; 3:108–113.
  5. Rubart M, Zipes DP. Mechanisms of sudden cardiac death. J Clin Invest 2005; 115:2305–2315.
  6. Stanton MS, Tuli MM, Radtke NL, et al. Regional sympathetic denervation after myocardial infarction in humans detected noninvasively using I-123-metaiodobenzylguanidine. J Am Coll Cardiol 1989; 14:1519–1526.
  7. Paul M, Schäfers M, Kies P, et al. Impact of sympathetic innervation on recurrent life-threatening arrhythmias in the follow-up of patients with idiopathic ventricular fibrillation. Eur J Nucl Med Mol Imaging 2006; 33:862–865.
  8. Chen P-S, Chen LS, Cao J-M, Sharifi B, Karagueuzian HS, Fishbein MC. Sympathetic nerve sprouting, electrical remodeling and the mechanisms of sudden cardiac death. Cardiovasc Res 2001; 50:409–416.
  9. Cao J-M, Fishbein MC, Han JB, et al. Relationship between regional cardiac hyperinnervation and ventricular arrhythmia. Circulation 2000; 101:1960–1969.
  10. Cao JM, Chen LS, KenKnight BH, et al. Nerve sprouting and sudden cardiac death. Circ Res 2000; 86:816–821.
  11. Beyerbach DM, Kovacs RJ, Dmitrienko AA, Rebhun DM, Zipes DP. Heart rate corrected QT interval in men increases during winter months. Heart Rhythm 2007; 4:277–281.
  12. Page RL, Zipes DP, Powell JL, et al. Seasonal variation of mortality in the Antiarrhythmics Versus Implantable Defibrillators (AVID) study registry. Heart Rhythm 2004; 1:435–440.
  13. Pitt B, Gheorghiade M, Zannad F, et al. Evaluation of eplerenone in the subgroup of EPHESUS patients with baseline left ventricular ejection fraction ≤30%. Eur J Heart Fail 2006; 8:295–301.
  14. Olgin JE, Takahashi T, Wilson E, Vereckei A, Steinberg H, Zipes DP. Effects of thoracic spinal cord stimulation on cardiac autonomic regulation of the sinus and atrioventricular nodes. J Cardiovasc Electrophysiol 2002; 13:475–481.
  15. Issa ZF, Rosenberger J, Groh WJ, Miller JM, Zipes DP. Ischemic ventricular arrhythmias during heart failure: a canine model to replicate clinical events. Heart Rhythm 2005; 2:979–983.
  16. Issa ZF, Zhou X, Ujhelyi MR, et al. Thoracic spinal cord stimulation reduces the risk of ischemic ventricular arrhythmias in a postinfarction heart failure canine model. Circulation 2005; 111:3217–3220.
  17. Issa ZF, Ujhelyi MR, Hildebrand KR, et al. Intrathecal clonidine reduces the incidence of ischemic provoked ventricular arrhythmias in a canine postinfarction heart failure model. Heart Rhythm 2005; 2:1122–1127.
  18. Lopshire JC, Zhou X, Rosenberger J, et al. Spinal cord stimulation improves ventricular function and reduces ventricular arrhythmias in a canine post-infarction heart failure model [abstract]. Heart Rhythm 2007; 4(5 Suppl):S105.
  19. Zipes DP, Camm AJ, Borggrefe M, et al. ACC/AHA/ESC 2006 guidelines for management of patients with ventricular arrhythmias and the prevention of sudden cardiac death: a report of the American College of Cardiology/American Heart Association Task Force and the European Society of Cardiology Committee for Practice Guidelines. J Am Coll Cardiol 2006; 48:e247–e346.
  20. Lopshire JC, Zipes DP. Sudden cardiac death: better understanding of risks, mechanisms, and treatment. Circulation 2006; 114:1134–1136.
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Insular Alzheimer disease pathology and the psychometric correlates of mortality

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Insular Alzheimer disease pathology and the psychometric correlates of mortality

Only a few brain structures have been implicated in the autonomic control of blood pressure and heart rate. Among them are heteromodal association areas in the cortex, especially the insular cortex. Insular infarction has been associated with both cardiac arrhythmias and mortality. However, stroke may not be the only insular pathology with the potential to disrupt autonomic function. Alzheimer disease (AD) is associated with both insular pathology and autonomic dysfunction.

This article presents the hypothesis that autonomic dysfunction reflects subclinical stages of AD pathology affecting the insular cortex and discusses the resulting clinical implications.

AUTONOMIC DYSFUNCTION AS A PRODUCT OF SUBCLINICAL ALZHEIMER DISEASE

Braak and Braak have demonstrated a hierarchical progression of AD pathology that includes the insular cortex.1 This may explain why AD has effects on blood pressure and central autonomic cardioregulatory functions. However, AD reaches the insular cortex at a “preclinical” stage in the Braak and Braak sequence (before “dementia” can be diagnosed). Thus, AD pathology should also be considered as a possible explanation for autonomic morbidity and mortality in nondemented elderly persons.2

Suggestive evidence

The following observations support this possibility:

  • Clinical AD is associated with a wide range of dysautonomic phenomena. These can already be demonstrated at the initial diagnosis, which suggests a preclinical onset.
  • Only a limited set of brain regions are capable of affecting autonomic control. The insulae are affected at a preclinical stage in the sequence of Braak and Braak (ie, stage III of VI).
  • Neurofibrillary tangle (NFT) counts inside the insulae moderate the association between the heart rate–corrected QT interval (QTc) and survival. This has been demonstrated by my colleagues and I in collaboration with the Honolulu-Asia Aging Study, which is examining the association between insular pathology at autopsy and the slope of premorbid change in the QTc.

Implications of AD-mediated autonomic dysfunction

AD-mediated autonomic dysfunction could have important clinical implications:

  • The prevalence of preclinical AD is likely to be higher than the number of demented cases. Many apparently well elderly persons may be affected solely on the basis of subclinical AD pathology.
  • Autonomic functions have widespread effects; many cardiac and noncardiac “age-related” changes may actually be related to AD.
  • Pharmacologic therapies for AD are known to delay the progression of symptoms and to reduce mortality; these medications may also impact AD-related autonomic problems.
  • Conversely, the association between other medications and cardiac arrhythmias/sudden death may be mediated via effects on insular function.

ALZHEIMER DISEASE DISRUPTS AUTONOMIC CONTROL

AD has been associated with a wide variety of dys-autonomic phenomena, including increased pupillary dilation, altered skin conductivity, blunted autonomic response to noxious stimuli, diminished heart rate variability, depressed baroreflex sensitivity, and orthostasis. Autonomic instability has yet to be sought in mild cognitive impairment or even earlier preclinical stages of AD. However, nondemented subjects with mild cognitive impairment and early AD do experience more frequent falls and more gait and balance problems than do age-matched controls.

INSULAR CORTEX: A LIKELY TARGET

The insulae have been specifically implicated in the cortical control of autonomic function.3 The vulnerability of the insular cortex to AD is easy to understand. NFTs appear to spread retrogradely along cortico-cortical and cortico-subcortical connections.4 The insulae are mesiotemporal structures with direct connections to the hippocampus and entorhinal cortex.

Insular lesions result in changes in cardiovascular and autonomic control that are readily detectable by a variety of measures and procedures, including blood pressure, tilt table, balance platform, and electrocardiogram. The electrocardiographic effects of insular pathology include diminished heart rate variability, determined in either the time domain or the frequency domain. Diminished heart rate variability has been associated with increased mortality in cardiovascular disease and type 2 diabetes. It is important to note, however, that the effects of diminished heart rate variability are statistically independent of disease severity in these disorders, and that they can be demonstrated in the absence of clinically significant cardiovascular disease.5

 

 

HOLTER MONITOR EVIDENCE

Autopsy studies suggest that as many as 40% of non-demented septuagenarians and octogenarians may have AD pathology that is sufficiently advanced to affect the insular cortex.1 This might explain the high prevalence of supraventricular arrhythmias and longitudinal decreases in heart rate variability among well elderly persons who are free of cardiovascular disease. In fact, unexplained supraventricular arrhythmias are quite common among such individuals. Both tachy-arrhythmias and bradyarrhythmias are common on 24-hour Holter monitor recordings among subjects older than 80 years, and most are unexplained. In a study of the causes of syncope in a large (N = 711) sample of octogenarians, Lipsitz et al confirmed a cardiac etiology in only 21% of cases, whereas 31% of cases were unexplained.6

MORTALITY IN ALZHEIMER DISEASE IS ASSOCIATED WITH RIGHT HEMISPHERE DYSFUNCTION

AD pathology is widely thought to be symmetrically distributed. However, this may not be true of the pre-clinical “limbic” stages of AD.7 Since insular effects on autonomic function are highly lateralized, the side of the brain affected by NFTs may be relevant to effects on cardiac rhythm and, hence, mortality risk.

Interestingly, mortality in AD is specifically associated with right hemisphere metabolic changes by electroencephalography, single-photon emission computed tomography, and positron emission tomography. Mortality can also be specifically associated with tests of constructional praxis. Claus and colleagues found that only the praxis subscore of the Cambridge Cognitive Examination (CAMCOG) was significantly related to survival in patients with early AD (P < .001).8 Its predictive power was based on only two items: copying ability for a spiral and for a three-dimensional house. The effect was independent of age, sex, education, dementia severity, total CAMCOG score, and symptom duration. Similarly, Swan et al found a significant association between performance on the digit symbol substitution test and 5-year mortality among 1,118 subjects (with a mean age of 70.6 years) in the Western Collaborative Group Study.9 In Cox regression analyses, the relative risk for all-cause mortality was 1.44 (95% confidence interval, 1.12 to 1.86) after adjustment for age, education, blood pressure, cancer, cardiovascular/cerebrovascular disease, and smoking.9

RIGHT HEMISPHERE DYSFUNCTION AFFECTS MORTALITY IN OTHER CONDITIONS

The effect of right hemisphere dysfunction on mortality is not limited to AD; it can also be demonstrated in other disorders, including epilepsy, head injury, and stroke.

We have been studying the cognitive correlates of mortality among well elderly septuagenarians and octogenarians living in a single comprehensive care retirement community (CCRC). Once again, visuo-spatial measures have been found to be selectively associated with mortality.10 Clock drawing appears to be the cognitive predictor most strongly correlated with mortality,10 a finding that has been independently replicated in a second CCRC cohort.11 This effect is independent of other cognitive domains, notably executive function.10

We recently examined the effect of insular NFTs on the association between QTc at examination 4 (circa 1991) of the Honolulu-Asia Aging Study and 12-year survival. Cases were dichotomized into those without and those with left or right insular NFT lesions (models 1, 2, 3, and 4 in Table 1). Each model was adjusted for age at exam 4. In the default models (1 and 2, with NFTs absent), neither age nor QTc at exam 4 was associated with survival; in contrast, in the presence of insular NFTs (models 3 and 4), age predicted survival (Table 1). QTc trended toward significance in the presence of right insular pathology (model 4; P = .067) but not in the presence of left insular pathology (model 3). QTc was inversely related to survival in the presence of insular NFTs, suggesting that the effect of insular lesions on survival may be mediated through prolonged QT intervals.

SUMMARY

Right hemisphere dysfunction is associated with mortality in AD and other conditions. These associations may be mediated by insular pathology. AD affects the insulae at a preclinical stage, and insular AD pathology may affect as many as 40% of nondemented septuagenarians and octogenarians. This pathology can be shown to affect in vivo cardiac conduction, and may dispose elderly persons to cardiac arrhythmias and sudden death. If so, then AD must be considered a potential cause of cardiac arrhythmia, sudden death, and other autonomic disturbances in nondemented older adults.

Acknowledgments

The author wishes to acknowledge the important cooperation and support received from the Air Force Villages and the Honolulu-Asia Aging Study. This work has been supported by a grant from the National Institute for Neurological Disorders and Stroke (NS45121-01A1).

References
  1. Braak H, Braak E. Evolution of neuronal changes in the course of Alzheimer’s disease. J Neural Transm Suppl 1998; 53:127–140.
  2. Royall DR, Gao JH, Kellogg DL Jr. Insular Alzheimer’s disease pathology as a cause of “age-related” autonomic dysfunction and mortality in the non-demented elderly. Med Hypotheses 2006; 67:747–758.
  3. Oppenheimer S. Forebrain lateralization of cardiovascular function: physiology and clinical correlates. Ann Neurol 2001; 49:555–556.
  4. Pearson RCA, Powell TPS. The neuroanatomy of Alzheimer’s disease. Rev Neurosci 1987; 2:101–122.
  5. Tasaki H, Serita T, Irita A, et al. A 15-year longitudinal follow-up study of heart rate and heart rate variability in healthy elderly persons. J Gerontol A Biol Sci Med Sci 2000; 55:M744–M749.
  6. Lipsitz LA, Wei JY, Rowe JW. Syncope in an elderly, institution-alised population: prevalence, incidence, and associated risk. Q J Med 1985; 55:45–54.
  7. Moossy J, Zubenko GS, Martinez AJ, Rao GR. Bilateral symmetry of morphologic lesions in Alzheimer’s disease. Arch Neurol 1988; 45:251–254.
  8. Claus JJ, Walstra GJ, Bossuyt PM, Teunisse S, Van Gool WA. A simple test of copying ability and sex define survival in patients with early Alzheimer’s disease. Psychol Med 1999; 29:485–489.
  9. Swan GE, Carmelli D, LaRue A. Perfomance on the digit symbol substitution test and 5-year mortality in the Western Collaborative Group Study. Am J Epidemiol 1995; 141:32–40.
  10. Royall DR, Chiodo LK, Mouton C, Polk MJ. Cognitive predictors of mortality in elderly retirees: results from the Freedom House study. Am J Geriatr Psychiatry 2007; 15:243–251.
  11. Lavery LL, Starenchak SM, Flynn WB, Stoeff MA, Schaffner R, Newman AB. The clock drawing test is an independent predictor of incident use of 24-hour care in a retirement community. J Gerontol A Biol Sci Med Sci 2005; 60:928–932.
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Correspondence: Donald R. Royall, MD, Chief, Division of Aging and Geriatric Psychiatry, The University of Texas Health Sciences Center at San Antonio, 7703 Floyd Curl Drive, San Antonio, TX 78229; [email protected]

Dr. Royall reported that he has no financial relationships that pose a potential conflict of interest with this article.

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Correspondence: Donald R. Royall, MD, Chief, Division of Aging and Geriatric Psychiatry, The University of Texas Health Sciences Center at San Antonio, 7703 Floyd Curl Drive, San Antonio, TX 78229; [email protected]

Dr. Royall reported that he has no financial relationships that pose a potential conflict of interest with this article.

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Departments of Psychiatry, Medicine, and Pharmacology, South Texas Veterans Health System Audie L. Murphy Division GRECC (Geriatric Research Education and Clinical Center), and The University of Texas Health Science Center, San Antonio, TX

Correspondence: Donald R. Royall, MD, Chief, Division of Aging and Geriatric Psychiatry, The University of Texas Health Sciences Center at San Antonio, 7703 Floyd Curl Drive, San Antonio, TX 78229; [email protected]

Dr. Royall reported that he has no financial relationships that pose a potential conflict of interest with this article.

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Only a few brain structures have been implicated in the autonomic control of blood pressure and heart rate. Among them are heteromodal association areas in the cortex, especially the insular cortex. Insular infarction has been associated with both cardiac arrhythmias and mortality. However, stroke may not be the only insular pathology with the potential to disrupt autonomic function. Alzheimer disease (AD) is associated with both insular pathology and autonomic dysfunction.

This article presents the hypothesis that autonomic dysfunction reflects subclinical stages of AD pathology affecting the insular cortex and discusses the resulting clinical implications.

AUTONOMIC DYSFUNCTION AS A PRODUCT OF SUBCLINICAL ALZHEIMER DISEASE

Braak and Braak have demonstrated a hierarchical progression of AD pathology that includes the insular cortex.1 This may explain why AD has effects on blood pressure and central autonomic cardioregulatory functions. However, AD reaches the insular cortex at a “preclinical” stage in the Braak and Braak sequence (before “dementia” can be diagnosed). Thus, AD pathology should also be considered as a possible explanation for autonomic morbidity and mortality in nondemented elderly persons.2

Suggestive evidence

The following observations support this possibility:

  • Clinical AD is associated with a wide range of dysautonomic phenomena. These can already be demonstrated at the initial diagnosis, which suggests a preclinical onset.
  • Only a limited set of brain regions are capable of affecting autonomic control. The insulae are affected at a preclinical stage in the sequence of Braak and Braak (ie, stage III of VI).
  • Neurofibrillary tangle (NFT) counts inside the insulae moderate the association between the heart rate–corrected QT interval (QTc) and survival. This has been demonstrated by my colleagues and I in collaboration with the Honolulu-Asia Aging Study, which is examining the association between insular pathology at autopsy and the slope of premorbid change in the QTc.

Implications of AD-mediated autonomic dysfunction

AD-mediated autonomic dysfunction could have important clinical implications:

  • The prevalence of preclinical AD is likely to be higher than the number of demented cases. Many apparently well elderly persons may be affected solely on the basis of subclinical AD pathology.
  • Autonomic functions have widespread effects; many cardiac and noncardiac “age-related” changes may actually be related to AD.
  • Pharmacologic therapies for AD are known to delay the progression of symptoms and to reduce mortality; these medications may also impact AD-related autonomic problems.
  • Conversely, the association between other medications and cardiac arrhythmias/sudden death may be mediated via effects on insular function.

ALZHEIMER DISEASE DISRUPTS AUTONOMIC CONTROL

AD has been associated with a wide variety of dys-autonomic phenomena, including increased pupillary dilation, altered skin conductivity, blunted autonomic response to noxious stimuli, diminished heart rate variability, depressed baroreflex sensitivity, and orthostasis. Autonomic instability has yet to be sought in mild cognitive impairment or even earlier preclinical stages of AD. However, nondemented subjects with mild cognitive impairment and early AD do experience more frequent falls and more gait and balance problems than do age-matched controls.

INSULAR CORTEX: A LIKELY TARGET

The insulae have been specifically implicated in the cortical control of autonomic function.3 The vulnerability of the insular cortex to AD is easy to understand. NFTs appear to spread retrogradely along cortico-cortical and cortico-subcortical connections.4 The insulae are mesiotemporal structures with direct connections to the hippocampus and entorhinal cortex.

Insular lesions result in changes in cardiovascular and autonomic control that are readily detectable by a variety of measures and procedures, including blood pressure, tilt table, balance platform, and electrocardiogram. The electrocardiographic effects of insular pathology include diminished heart rate variability, determined in either the time domain or the frequency domain. Diminished heart rate variability has been associated with increased mortality in cardiovascular disease and type 2 diabetes. It is important to note, however, that the effects of diminished heart rate variability are statistically independent of disease severity in these disorders, and that they can be demonstrated in the absence of clinically significant cardiovascular disease.5

 

 

HOLTER MONITOR EVIDENCE

Autopsy studies suggest that as many as 40% of non-demented septuagenarians and octogenarians may have AD pathology that is sufficiently advanced to affect the insular cortex.1 This might explain the high prevalence of supraventricular arrhythmias and longitudinal decreases in heart rate variability among well elderly persons who are free of cardiovascular disease. In fact, unexplained supraventricular arrhythmias are quite common among such individuals. Both tachy-arrhythmias and bradyarrhythmias are common on 24-hour Holter monitor recordings among subjects older than 80 years, and most are unexplained. In a study of the causes of syncope in a large (N = 711) sample of octogenarians, Lipsitz et al confirmed a cardiac etiology in only 21% of cases, whereas 31% of cases were unexplained.6

MORTALITY IN ALZHEIMER DISEASE IS ASSOCIATED WITH RIGHT HEMISPHERE DYSFUNCTION

AD pathology is widely thought to be symmetrically distributed. However, this may not be true of the pre-clinical “limbic” stages of AD.7 Since insular effects on autonomic function are highly lateralized, the side of the brain affected by NFTs may be relevant to effects on cardiac rhythm and, hence, mortality risk.

Interestingly, mortality in AD is specifically associated with right hemisphere metabolic changes by electroencephalography, single-photon emission computed tomography, and positron emission tomography. Mortality can also be specifically associated with tests of constructional praxis. Claus and colleagues found that only the praxis subscore of the Cambridge Cognitive Examination (CAMCOG) was significantly related to survival in patients with early AD (P < .001).8 Its predictive power was based on only two items: copying ability for a spiral and for a three-dimensional house. The effect was independent of age, sex, education, dementia severity, total CAMCOG score, and symptom duration. Similarly, Swan et al found a significant association between performance on the digit symbol substitution test and 5-year mortality among 1,118 subjects (with a mean age of 70.6 years) in the Western Collaborative Group Study.9 In Cox regression analyses, the relative risk for all-cause mortality was 1.44 (95% confidence interval, 1.12 to 1.86) after adjustment for age, education, blood pressure, cancer, cardiovascular/cerebrovascular disease, and smoking.9

RIGHT HEMISPHERE DYSFUNCTION AFFECTS MORTALITY IN OTHER CONDITIONS

The effect of right hemisphere dysfunction on mortality is not limited to AD; it can also be demonstrated in other disorders, including epilepsy, head injury, and stroke.

We have been studying the cognitive correlates of mortality among well elderly septuagenarians and octogenarians living in a single comprehensive care retirement community (CCRC). Once again, visuo-spatial measures have been found to be selectively associated with mortality.10 Clock drawing appears to be the cognitive predictor most strongly correlated with mortality,10 a finding that has been independently replicated in a second CCRC cohort.11 This effect is independent of other cognitive domains, notably executive function.10

We recently examined the effect of insular NFTs on the association between QTc at examination 4 (circa 1991) of the Honolulu-Asia Aging Study and 12-year survival. Cases were dichotomized into those without and those with left or right insular NFT lesions (models 1, 2, 3, and 4 in Table 1). Each model was adjusted for age at exam 4. In the default models (1 and 2, with NFTs absent), neither age nor QTc at exam 4 was associated with survival; in contrast, in the presence of insular NFTs (models 3 and 4), age predicted survival (Table 1). QTc trended toward significance in the presence of right insular pathology (model 4; P = .067) but not in the presence of left insular pathology (model 3). QTc was inversely related to survival in the presence of insular NFTs, suggesting that the effect of insular lesions on survival may be mediated through prolonged QT intervals.

SUMMARY

Right hemisphere dysfunction is associated with mortality in AD and other conditions. These associations may be mediated by insular pathology. AD affects the insulae at a preclinical stage, and insular AD pathology may affect as many as 40% of nondemented septuagenarians and octogenarians. This pathology can be shown to affect in vivo cardiac conduction, and may dispose elderly persons to cardiac arrhythmias and sudden death. If so, then AD must be considered a potential cause of cardiac arrhythmia, sudden death, and other autonomic disturbances in nondemented older adults.

Acknowledgments

The author wishes to acknowledge the important cooperation and support received from the Air Force Villages and the Honolulu-Asia Aging Study. This work has been supported by a grant from the National Institute for Neurological Disorders and Stroke (NS45121-01A1).

Only a few brain structures have been implicated in the autonomic control of blood pressure and heart rate. Among them are heteromodal association areas in the cortex, especially the insular cortex. Insular infarction has been associated with both cardiac arrhythmias and mortality. However, stroke may not be the only insular pathology with the potential to disrupt autonomic function. Alzheimer disease (AD) is associated with both insular pathology and autonomic dysfunction.

This article presents the hypothesis that autonomic dysfunction reflects subclinical stages of AD pathology affecting the insular cortex and discusses the resulting clinical implications.

AUTONOMIC DYSFUNCTION AS A PRODUCT OF SUBCLINICAL ALZHEIMER DISEASE

Braak and Braak have demonstrated a hierarchical progression of AD pathology that includes the insular cortex.1 This may explain why AD has effects on blood pressure and central autonomic cardioregulatory functions. However, AD reaches the insular cortex at a “preclinical” stage in the Braak and Braak sequence (before “dementia” can be diagnosed). Thus, AD pathology should also be considered as a possible explanation for autonomic morbidity and mortality in nondemented elderly persons.2

Suggestive evidence

The following observations support this possibility:

  • Clinical AD is associated with a wide range of dysautonomic phenomena. These can already be demonstrated at the initial diagnosis, which suggests a preclinical onset.
  • Only a limited set of brain regions are capable of affecting autonomic control. The insulae are affected at a preclinical stage in the sequence of Braak and Braak (ie, stage III of VI).
  • Neurofibrillary tangle (NFT) counts inside the insulae moderate the association between the heart rate–corrected QT interval (QTc) and survival. This has been demonstrated by my colleagues and I in collaboration with the Honolulu-Asia Aging Study, which is examining the association between insular pathology at autopsy and the slope of premorbid change in the QTc.

Implications of AD-mediated autonomic dysfunction

AD-mediated autonomic dysfunction could have important clinical implications:

  • The prevalence of preclinical AD is likely to be higher than the number of demented cases. Many apparently well elderly persons may be affected solely on the basis of subclinical AD pathology.
  • Autonomic functions have widespread effects; many cardiac and noncardiac “age-related” changes may actually be related to AD.
  • Pharmacologic therapies for AD are known to delay the progression of symptoms and to reduce mortality; these medications may also impact AD-related autonomic problems.
  • Conversely, the association between other medications and cardiac arrhythmias/sudden death may be mediated via effects on insular function.

ALZHEIMER DISEASE DISRUPTS AUTONOMIC CONTROL

AD has been associated with a wide variety of dys-autonomic phenomena, including increased pupillary dilation, altered skin conductivity, blunted autonomic response to noxious stimuli, diminished heart rate variability, depressed baroreflex sensitivity, and orthostasis. Autonomic instability has yet to be sought in mild cognitive impairment or even earlier preclinical stages of AD. However, nondemented subjects with mild cognitive impairment and early AD do experience more frequent falls and more gait and balance problems than do age-matched controls.

INSULAR CORTEX: A LIKELY TARGET

The insulae have been specifically implicated in the cortical control of autonomic function.3 The vulnerability of the insular cortex to AD is easy to understand. NFTs appear to spread retrogradely along cortico-cortical and cortico-subcortical connections.4 The insulae are mesiotemporal structures with direct connections to the hippocampus and entorhinal cortex.

Insular lesions result in changes in cardiovascular and autonomic control that are readily detectable by a variety of measures and procedures, including blood pressure, tilt table, balance platform, and electrocardiogram. The electrocardiographic effects of insular pathology include diminished heart rate variability, determined in either the time domain or the frequency domain. Diminished heart rate variability has been associated with increased mortality in cardiovascular disease and type 2 diabetes. It is important to note, however, that the effects of diminished heart rate variability are statistically independent of disease severity in these disorders, and that they can be demonstrated in the absence of clinically significant cardiovascular disease.5

 

 

HOLTER MONITOR EVIDENCE

Autopsy studies suggest that as many as 40% of non-demented septuagenarians and octogenarians may have AD pathology that is sufficiently advanced to affect the insular cortex.1 This might explain the high prevalence of supraventricular arrhythmias and longitudinal decreases in heart rate variability among well elderly persons who are free of cardiovascular disease. In fact, unexplained supraventricular arrhythmias are quite common among such individuals. Both tachy-arrhythmias and bradyarrhythmias are common on 24-hour Holter monitor recordings among subjects older than 80 years, and most are unexplained. In a study of the causes of syncope in a large (N = 711) sample of octogenarians, Lipsitz et al confirmed a cardiac etiology in only 21% of cases, whereas 31% of cases were unexplained.6

MORTALITY IN ALZHEIMER DISEASE IS ASSOCIATED WITH RIGHT HEMISPHERE DYSFUNCTION

AD pathology is widely thought to be symmetrically distributed. However, this may not be true of the pre-clinical “limbic” stages of AD.7 Since insular effects on autonomic function are highly lateralized, the side of the brain affected by NFTs may be relevant to effects on cardiac rhythm and, hence, mortality risk.

Interestingly, mortality in AD is specifically associated with right hemisphere metabolic changes by electroencephalography, single-photon emission computed tomography, and positron emission tomography. Mortality can also be specifically associated with tests of constructional praxis. Claus and colleagues found that only the praxis subscore of the Cambridge Cognitive Examination (CAMCOG) was significantly related to survival in patients with early AD (P < .001).8 Its predictive power was based on only two items: copying ability for a spiral and for a three-dimensional house. The effect was independent of age, sex, education, dementia severity, total CAMCOG score, and symptom duration. Similarly, Swan et al found a significant association between performance on the digit symbol substitution test and 5-year mortality among 1,118 subjects (with a mean age of 70.6 years) in the Western Collaborative Group Study.9 In Cox regression analyses, the relative risk for all-cause mortality was 1.44 (95% confidence interval, 1.12 to 1.86) after adjustment for age, education, blood pressure, cancer, cardiovascular/cerebrovascular disease, and smoking.9

RIGHT HEMISPHERE DYSFUNCTION AFFECTS MORTALITY IN OTHER CONDITIONS

The effect of right hemisphere dysfunction on mortality is not limited to AD; it can also be demonstrated in other disorders, including epilepsy, head injury, and stroke.

We have been studying the cognitive correlates of mortality among well elderly septuagenarians and octogenarians living in a single comprehensive care retirement community (CCRC). Once again, visuo-spatial measures have been found to be selectively associated with mortality.10 Clock drawing appears to be the cognitive predictor most strongly correlated with mortality,10 a finding that has been independently replicated in a second CCRC cohort.11 This effect is independent of other cognitive domains, notably executive function.10

We recently examined the effect of insular NFTs on the association between QTc at examination 4 (circa 1991) of the Honolulu-Asia Aging Study and 12-year survival. Cases were dichotomized into those without and those with left or right insular NFT lesions (models 1, 2, 3, and 4 in Table 1). Each model was adjusted for age at exam 4. In the default models (1 and 2, with NFTs absent), neither age nor QTc at exam 4 was associated with survival; in contrast, in the presence of insular NFTs (models 3 and 4), age predicted survival (Table 1). QTc trended toward significance in the presence of right insular pathology (model 4; P = .067) but not in the presence of left insular pathology (model 3). QTc was inversely related to survival in the presence of insular NFTs, suggesting that the effect of insular lesions on survival may be mediated through prolonged QT intervals.

SUMMARY

Right hemisphere dysfunction is associated with mortality in AD and other conditions. These associations may be mediated by insular pathology. AD affects the insulae at a preclinical stage, and insular AD pathology may affect as many as 40% of nondemented septuagenarians and octogenarians. This pathology can be shown to affect in vivo cardiac conduction, and may dispose elderly persons to cardiac arrhythmias and sudden death. If so, then AD must be considered a potential cause of cardiac arrhythmia, sudden death, and other autonomic disturbances in nondemented older adults.

Acknowledgments

The author wishes to acknowledge the important cooperation and support received from the Air Force Villages and the Honolulu-Asia Aging Study. This work has been supported by a grant from the National Institute for Neurological Disorders and Stroke (NS45121-01A1).

References
  1. Braak H, Braak E. Evolution of neuronal changes in the course of Alzheimer’s disease. J Neural Transm Suppl 1998; 53:127–140.
  2. Royall DR, Gao JH, Kellogg DL Jr. Insular Alzheimer’s disease pathology as a cause of “age-related” autonomic dysfunction and mortality in the non-demented elderly. Med Hypotheses 2006; 67:747–758.
  3. Oppenheimer S. Forebrain lateralization of cardiovascular function: physiology and clinical correlates. Ann Neurol 2001; 49:555–556.
  4. Pearson RCA, Powell TPS. The neuroanatomy of Alzheimer’s disease. Rev Neurosci 1987; 2:101–122.
  5. Tasaki H, Serita T, Irita A, et al. A 15-year longitudinal follow-up study of heart rate and heart rate variability in healthy elderly persons. J Gerontol A Biol Sci Med Sci 2000; 55:M744–M749.
  6. Lipsitz LA, Wei JY, Rowe JW. Syncope in an elderly, institution-alised population: prevalence, incidence, and associated risk. Q J Med 1985; 55:45–54.
  7. Moossy J, Zubenko GS, Martinez AJ, Rao GR. Bilateral symmetry of morphologic lesions in Alzheimer’s disease. Arch Neurol 1988; 45:251–254.
  8. Claus JJ, Walstra GJ, Bossuyt PM, Teunisse S, Van Gool WA. A simple test of copying ability and sex define survival in patients with early Alzheimer’s disease. Psychol Med 1999; 29:485–489.
  9. Swan GE, Carmelli D, LaRue A. Perfomance on the digit symbol substitution test and 5-year mortality in the Western Collaborative Group Study. Am J Epidemiol 1995; 141:32–40.
  10. Royall DR, Chiodo LK, Mouton C, Polk MJ. Cognitive predictors of mortality in elderly retirees: results from the Freedom House study. Am J Geriatr Psychiatry 2007; 15:243–251.
  11. Lavery LL, Starenchak SM, Flynn WB, Stoeff MA, Schaffner R, Newman AB. The clock drawing test is an independent predictor of incident use of 24-hour care in a retirement community. J Gerontol A Biol Sci Med Sci 2005; 60:928–932.
References
  1. Braak H, Braak E. Evolution of neuronal changes in the course of Alzheimer’s disease. J Neural Transm Suppl 1998; 53:127–140.
  2. Royall DR, Gao JH, Kellogg DL Jr. Insular Alzheimer’s disease pathology as a cause of “age-related” autonomic dysfunction and mortality in the non-demented elderly. Med Hypotheses 2006; 67:747–758.
  3. Oppenheimer S. Forebrain lateralization of cardiovascular function: physiology and clinical correlates. Ann Neurol 2001; 49:555–556.
  4. Pearson RCA, Powell TPS. The neuroanatomy of Alzheimer’s disease. Rev Neurosci 1987; 2:101–122.
  5. Tasaki H, Serita T, Irita A, et al. A 15-year longitudinal follow-up study of heart rate and heart rate variability in healthy elderly persons. J Gerontol A Biol Sci Med Sci 2000; 55:M744–M749.
  6. Lipsitz LA, Wei JY, Rowe JW. Syncope in an elderly, institution-alised population: prevalence, incidence, and associated risk. Q J Med 1985; 55:45–54.
  7. Moossy J, Zubenko GS, Martinez AJ, Rao GR. Bilateral symmetry of morphologic lesions in Alzheimer’s disease. Arch Neurol 1988; 45:251–254.
  8. Claus JJ, Walstra GJ, Bossuyt PM, Teunisse S, Van Gool WA. A simple test of copying ability and sex define survival in patients with early Alzheimer’s disease. Psychol Med 1999; 29:485–489.
  9. Swan GE, Carmelli D, LaRue A. Perfomance on the digit symbol substitution test and 5-year mortality in the Western Collaborative Group Study. Am J Epidemiol 1995; 141:32–40.
  10. Royall DR, Chiodo LK, Mouton C, Polk MJ. Cognitive predictors of mortality in elderly retirees: results from the Freedom House study. Am J Geriatr Psychiatry 2007; 15:243–251.
  11. Lavery LL, Starenchak SM, Flynn WB, Stoeff MA, Schaffner R, Newman AB. The clock drawing test is an independent predictor of incident use of 24-hour care in a retirement community. J Gerontol A Biol Sci Med Sci 2005; 60:928–932.
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Breast Cancer Surgery and Breast Reconstruction

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Overview of breast cancer staging and surgical treatment options
Clarisa Hammer, DO; Alicia Fanning, MD; and Joseph Crowe, MD

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Risal Djohan, MD; Earl Gage, MD; and Steven Bernard, MD

Reconstruction options following breast conservation therapy
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Options and considerations in the timing of breast reconstruction after mastectomy
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Trends in breast cancer screening and diagnosis
Alice Rim, MD; Melanie Chellman-Jeffers, MD; and Alicia Fanning, MD

Overview of breast cancer staging and surgical treatment options
Clarisa Hammer, DO; Alicia Fanning, MD; and Joseph Crowe, MD

Breast reconstruction options following mastectomy
Risal Djohan, MD; Earl Gage, MD; and Steven Bernard, MD

Reconstruction options following breast conservation therapy
Samara Churgin, MD; Raymond Isakov, MD; and Randall Yetman, MD

Options and considerations in the timing of breast reconstruction after mastectomy
Preya Ananthakrishnan, MD, and Armand Lucas, MD

Supplement Editor:
Risal Djohan, MD

Associate Editors:
James E. Zins, MD; David K. Rolston, MD; and Robert Hermann, MD

Contents

Trends in breast cancer screening and diagnosis
Alice Rim, MD; Melanie Chellman-Jeffers, MD; and Alicia Fanning, MD

Overview of breast cancer staging and surgical treatment options
Clarisa Hammer, DO; Alicia Fanning, MD; and Joseph Crowe, MD

Breast reconstruction options following mastectomy
Risal Djohan, MD; Earl Gage, MD; and Steven Bernard, MD

Reconstruction options following breast conservation therapy
Samara Churgin, MD; Raymond Isakov, MD; and Randall Yetman, MD

Options and considerations in the timing of breast reconstruction after mastectomy
Preya Ananthakrishnan, MD, and Armand Lucas, MD

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Medical causes of back pain

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To the Editor: In their otherwise excellent review, “Masquerade: Medical causes of back pain” (Cleve Clin J Med 2007; 74:905–913), Dr. Klineberg et al seem to confuse two distinct pathologic processes—aortic dissection and rupture of an aortic aneurysm. Parts of their description seem to fit the pathology of abdominal aortic aneurysm, with a pulsatile abdominal mass, sentinel bleeding, and rupture risk with a size over 6 cm, whereas other parts seem to correspond to aortic dissection, with severe, ripping pain and an association with Marfan syndrome. They also use the terminology “dissecting aortic aneurysm,” which again implies a single entity, when in fact the two conditions rarely occur together. The authors are not alone in their use of this misnomer: a review of the Web sites of renowned universities reveals use of the same terminology. The readers would have been better served if the authors had discussed “acute aortic dissection” and “ruptured aortic aneurysm” as two separate causes of back pain, with a note that in rare cases an aortic aneurysm can develop a dissection.

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To the Editor: In their otherwise excellent review, “Masquerade: Medical causes of back pain” (Cleve Clin J Med 2007; 74:905–913), Dr. Klineberg et al seem to confuse two distinct pathologic processes—aortic dissection and rupture of an aortic aneurysm. Parts of their description seem to fit the pathology of abdominal aortic aneurysm, with a pulsatile abdominal mass, sentinel bleeding, and rupture risk with a size over 6 cm, whereas other parts seem to correspond to aortic dissection, with severe, ripping pain and an association with Marfan syndrome. They also use the terminology “dissecting aortic aneurysm,” which again implies a single entity, when in fact the two conditions rarely occur together. The authors are not alone in their use of this misnomer: a review of the Web sites of renowned universities reveals use of the same terminology. The readers would have been better served if the authors had discussed “acute aortic dissection” and “ruptured aortic aneurysm” as two separate causes of back pain, with a note that in rare cases an aortic aneurysm can develop a dissection.

To the Editor: In their otherwise excellent review, “Masquerade: Medical causes of back pain” (Cleve Clin J Med 2007; 74:905–913), Dr. Klineberg et al seem to confuse two distinct pathologic processes—aortic dissection and rupture of an aortic aneurysm. Parts of their description seem to fit the pathology of abdominal aortic aneurysm, with a pulsatile abdominal mass, sentinel bleeding, and rupture risk with a size over 6 cm, whereas other parts seem to correspond to aortic dissection, with severe, ripping pain and an association with Marfan syndrome. They also use the terminology “dissecting aortic aneurysm,” which again implies a single entity, when in fact the two conditions rarely occur together. The authors are not alone in their use of this misnomer: a review of the Web sites of renowned universities reveals use of the same terminology. The readers would have been better served if the authors had discussed “acute aortic dissection” and “ruptured aortic aneurysm” as two separate causes of back pain, with a note that in rare cases an aortic aneurysm can develop a dissection.

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In reply: Medical causes of back pain

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In Reply: We appreciate Dr. Hirsch’s comments and are pleased to expand the discussion of this important point.

He is correct in his assertion that dissection and aneurysm are distinct processes. But the goal of this review was to remind practitioners to consider the aorta as a possible source of pain when it occurs acutely or in an atypical manner.

A number of aortic processes can cause back pain, and aneurysm and dissection are two of them, aneurysm being more common than aortic dissection. But the pain can also be from aortic ulceration, aortitis, contained rupture of an aneurysm, and other more esoteric problems.

Aortic dissection often presents as a tearing, severe, thoracic back pain. Pain from a progressive abdominal aneurysm is more commonly referred to the lower back or flank and can be severe and unrelenting. It is rarely described as a tearing pain like that of dissection.

It is difficult on initial physical examination to distinguish aneurysm from dissection. The key to diagnosing aneurysm is to detect the pulsatile abdominal mass. A pulsatile, tender abdominal mass with hypotension and back pain is classically associated with rupture of an abdominal aortic aneurysm. The combination of back pain, a deficit in peripheral pulses, and hypertension is more often associated with dissection.

Without imaging and appropriate consultation, it is difficult for even an experienced provider to definitively diagnose these disorders. Without a bit of suspicion, even with a careful physical examination either disorder might be overlooked entirely, with disastrous effect. The purpose of our review was to remind the reader that these conditions, while uncommon or even rare, do occur and should be sought out in patients presenting with acute, atypical lumbar and thoracic back pain. As with each of the conditions discussed in this review, the decision to linger a bit over the patient’s history and then perform a basic, focused physical examination can be life-saving.

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In Reply: We appreciate Dr. Hirsch’s comments and are pleased to expand the discussion of this important point.

He is correct in his assertion that dissection and aneurysm are distinct processes. But the goal of this review was to remind practitioners to consider the aorta as a possible source of pain when it occurs acutely or in an atypical manner.

A number of aortic processes can cause back pain, and aneurysm and dissection are two of them, aneurysm being more common than aortic dissection. But the pain can also be from aortic ulceration, aortitis, contained rupture of an aneurysm, and other more esoteric problems.

Aortic dissection often presents as a tearing, severe, thoracic back pain. Pain from a progressive abdominal aneurysm is more commonly referred to the lower back or flank and can be severe and unrelenting. It is rarely described as a tearing pain like that of dissection.

It is difficult on initial physical examination to distinguish aneurysm from dissection. The key to diagnosing aneurysm is to detect the pulsatile abdominal mass. A pulsatile, tender abdominal mass with hypotension and back pain is classically associated with rupture of an abdominal aortic aneurysm. The combination of back pain, a deficit in peripheral pulses, and hypertension is more often associated with dissection.

Without imaging and appropriate consultation, it is difficult for even an experienced provider to definitively diagnose these disorders. Without a bit of suspicion, even with a careful physical examination either disorder might be overlooked entirely, with disastrous effect. The purpose of our review was to remind the reader that these conditions, while uncommon or even rare, do occur and should be sought out in patients presenting with acute, atypical lumbar and thoracic back pain. As with each of the conditions discussed in this review, the decision to linger a bit over the patient’s history and then perform a basic, focused physical examination can be life-saving.

In Reply: We appreciate Dr. Hirsch’s comments and are pleased to expand the discussion of this important point.

He is correct in his assertion that dissection and aneurysm are distinct processes. But the goal of this review was to remind practitioners to consider the aorta as a possible source of pain when it occurs acutely or in an atypical manner.

A number of aortic processes can cause back pain, and aneurysm and dissection are two of them, aneurysm being more common than aortic dissection. But the pain can also be from aortic ulceration, aortitis, contained rupture of an aneurysm, and other more esoteric problems.

Aortic dissection often presents as a tearing, severe, thoracic back pain. Pain from a progressive abdominal aneurysm is more commonly referred to the lower back or flank and can be severe and unrelenting. It is rarely described as a tearing pain like that of dissection.

It is difficult on initial physical examination to distinguish aneurysm from dissection. The key to diagnosing aneurysm is to detect the pulsatile abdominal mass. A pulsatile, tender abdominal mass with hypotension and back pain is classically associated with rupture of an abdominal aortic aneurysm. The combination of back pain, a deficit in peripheral pulses, and hypertension is more often associated with dissection.

Without imaging and appropriate consultation, it is difficult for even an experienced provider to definitively diagnose these disorders. Without a bit of suspicion, even with a careful physical examination either disorder might be overlooked entirely, with disastrous effect. The purpose of our review was to remind the reader that these conditions, while uncommon or even rare, do occur and should be sought out in patients presenting with acute, atypical lumbar and thoracic back pain. As with each of the conditions discussed in this review, the decision to linger a bit over the patient’s history and then perform a basic, focused physical examination can be life-saving.

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What is adequate hypertension control?

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To the Editor: I read with interest the exchange of letters between Drs. Norenberg and Graves in the December 2007 issue,1,2 which followed Dr. Graves’ article in the October 2007 issue.3 Dr. Norenberg suggests that it is not always prudent to try to push systolic pressures below 140 mm Hg in the elderly, and Dr. Graves takes the position that physicians like Dr. Norenberg have been “too slow to adapt to evidence-based guidelines for quality of care.” I would like to focus on Dr. Graves’ reference to evidence-based guidelines for the treatment of systolic hypertension in the elderly.

Although there have been multiple published studies of the treatment of this disorder, none has achieved an average systolic blood pressure lower than 140. The Systolic Hypertension in the Elderly Program (SHEP)4 came closest with a final systolic blood pressure of 144. No study has ever documented the efficacy and safety of achieving systolic blood pressures less than 140 in a cohort of elderly patients, and there is substantial evidence that excessive lowering of diastolic blood pressure can be harmful.5,6

Many elderly patients can achieve the target referenced by Dr. Graves, and it is reasonable to expect physicians to continue to strive for that goal, but it would be unwise to push all seniors below 140 systolic. Consider the elderly patient with systolic hypertension who is on a robust three-drug regimen including a diuretic, with a blood pressure of 144/60 and with persistent but tolerable drug side effects. I am aware of no clinical trials that demonstrate that further lowering of this patient’s blood pressure would provide incremental benefit to outweigh the potential risks and costs of additional medications.

We need to be careful not to confuse evidence-based medicine with high-placed opinions, which can result in rigid approaches to treatment that are not in the best interest of our patients.

References
  1. Norenberg DD. What is adequate hypertension control? (Letter). Cleve Clin J Med 2007; 74:848.
  2. Graves JW. What is adequate hypertension control (In Reply). Cleve Clin J Med 2007; 74:848–849.
  3. Graves JW. What is adequate hypertension control? Having your dinner and dessert too. Cleve Clin J Med 2007; 74:748–754.
  4. SHEP Cooperative Research Group. Prevention of stroke by antihypertensive drug treatment in older persons with isolated systolic hypertension. Final results of the Systolic Hypertension in the Elderly Program (SHEP). JAMA 1991; 265:3255–3264.
  5. Somes GW, Pahor M, Shorr RI, Cushman WC, Applegate WB. The role of diastolic blood pressure when treating isolated systolic hypertension. Arch Intern Med 1991; 159:2004–2009.
  6. Fagard RH, Staessen JA, Thijs L, et al. On-treatment diastolic blood pressure and prognosis in systolic hypertension. Arch Intern Med 2007; 167:1884–1891.
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To the Editor: I read with interest the exchange of letters between Drs. Norenberg and Graves in the December 2007 issue,1,2 which followed Dr. Graves’ article in the October 2007 issue.3 Dr. Norenberg suggests that it is not always prudent to try to push systolic pressures below 140 mm Hg in the elderly, and Dr. Graves takes the position that physicians like Dr. Norenberg have been “too slow to adapt to evidence-based guidelines for quality of care.” I would like to focus on Dr. Graves’ reference to evidence-based guidelines for the treatment of systolic hypertension in the elderly.

Although there have been multiple published studies of the treatment of this disorder, none has achieved an average systolic blood pressure lower than 140. The Systolic Hypertension in the Elderly Program (SHEP)4 came closest with a final systolic blood pressure of 144. No study has ever documented the efficacy and safety of achieving systolic blood pressures less than 140 in a cohort of elderly patients, and there is substantial evidence that excessive lowering of diastolic blood pressure can be harmful.5,6

Many elderly patients can achieve the target referenced by Dr. Graves, and it is reasonable to expect physicians to continue to strive for that goal, but it would be unwise to push all seniors below 140 systolic. Consider the elderly patient with systolic hypertension who is on a robust three-drug regimen including a diuretic, with a blood pressure of 144/60 and with persistent but tolerable drug side effects. I am aware of no clinical trials that demonstrate that further lowering of this patient’s blood pressure would provide incremental benefit to outweigh the potential risks and costs of additional medications.

We need to be careful not to confuse evidence-based medicine with high-placed opinions, which can result in rigid approaches to treatment that are not in the best interest of our patients.

To the Editor: I read with interest the exchange of letters between Drs. Norenberg and Graves in the December 2007 issue,1,2 which followed Dr. Graves’ article in the October 2007 issue.3 Dr. Norenberg suggests that it is not always prudent to try to push systolic pressures below 140 mm Hg in the elderly, and Dr. Graves takes the position that physicians like Dr. Norenberg have been “too slow to adapt to evidence-based guidelines for quality of care.” I would like to focus on Dr. Graves’ reference to evidence-based guidelines for the treatment of systolic hypertension in the elderly.

Although there have been multiple published studies of the treatment of this disorder, none has achieved an average systolic blood pressure lower than 140. The Systolic Hypertension in the Elderly Program (SHEP)4 came closest with a final systolic blood pressure of 144. No study has ever documented the efficacy and safety of achieving systolic blood pressures less than 140 in a cohort of elderly patients, and there is substantial evidence that excessive lowering of diastolic blood pressure can be harmful.5,6

Many elderly patients can achieve the target referenced by Dr. Graves, and it is reasonable to expect physicians to continue to strive for that goal, but it would be unwise to push all seniors below 140 systolic. Consider the elderly patient with systolic hypertension who is on a robust three-drug regimen including a diuretic, with a blood pressure of 144/60 and with persistent but tolerable drug side effects. I am aware of no clinical trials that demonstrate that further lowering of this patient’s blood pressure would provide incremental benefit to outweigh the potential risks and costs of additional medications.

We need to be careful not to confuse evidence-based medicine with high-placed opinions, which can result in rigid approaches to treatment that are not in the best interest of our patients.

References
  1. Norenberg DD. What is adequate hypertension control? (Letter). Cleve Clin J Med 2007; 74:848.
  2. Graves JW. What is adequate hypertension control (In Reply). Cleve Clin J Med 2007; 74:848–849.
  3. Graves JW. What is adequate hypertension control? Having your dinner and dessert too. Cleve Clin J Med 2007; 74:748–754.
  4. SHEP Cooperative Research Group. Prevention of stroke by antihypertensive drug treatment in older persons with isolated systolic hypertension. Final results of the Systolic Hypertension in the Elderly Program (SHEP). JAMA 1991; 265:3255–3264.
  5. Somes GW, Pahor M, Shorr RI, Cushman WC, Applegate WB. The role of diastolic blood pressure when treating isolated systolic hypertension. Arch Intern Med 1991; 159:2004–2009.
  6. Fagard RH, Staessen JA, Thijs L, et al. On-treatment diastolic blood pressure and prognosis in systolic hypertension. Arch Intern Med 2007; 167:1884–1891.
References
  1. Norenberg DD. What is adequate hypertension control? (Letter). Cleve Clin J Med 2007; 74:848.
  2. Graves JW. What is adequate hypertension control (In Reply). Cleve Clin J Med 2007; 74:848–849.
  3. Graves JW. What is adequate hypertension control? Having your dinner and dessert too. Cleve Clin J Med 2007; 74:748–754.
  4. SHEP Cooperative Research Group. Prevention of stroke by antihypertensive drug treatment in older persons with isolated systolic hypertension. Final results of the Systolic Hypertension in the Elderly Program (SHEP). JAMA 1991; 265:3255–3264.
  5. Somes GW, Pahor M, Shorr RI, Cushman WC, Applegate WB. The role of diastolic blood pressure when treating isolated systolic hypertension. Arch Intern Med 1991; 159:2004–2009.
  6. Fagard RH, Staessen JA, Thijs L, et al. On-treatment diastolic blood pressure and prognosis in systolic hypertension. Arch Intern Med 2007; 167:1884–1891.
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In reply: What is adequate hypertension control?

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In Reply: First, I am gratified by the tremendous interest in the care of the hypertensive patient that my article has generated. Dr. Norenberg and Dr. Kelleher are insightful clinicians, as evidenced by the issues that their letters raise. Secondly, as I am now 54 years old, SHEP’s definition of “elderly” as 60 years old and older appears less accurate to me! However, I think we might all agree that to date there has not been a trial with people 65 years old and younger that has not shown benefit to treatment of the blood pressure to less than 140/90 mm Hg.

I believe that Dr. Kelleher’s quest for more “evidence-based” data refers to treatment data in patients above that age. Hopefully, this quest will be answered by the results of the Hypertension in the Very Elderly Trial (HYVET).1 In this trial, 3,845 patients older than 80 years were treated to less than 140/90 mm Hg. On July 12, 2007, the trial was stopped by the data safety and monitoring board, with the expectation of published results at the European Society of Hypertension and International Society of Hypertension joint meeting in Berlin in 2008.

Third, I must remind the reader that in practicing evidence-based medicine, we clinicians always must interpret the results of double-blind placebo-controlled trials, which tell us the mean effect of a treatment, but apply this information to the individual patient seated in front of us. A recent study2 of individual blood pressure response to four forms of monotherapy showed that, in some patients, the blood pressure rose with hydrochlorothiazide instead of falling!

Fourth, Dr. Kelleher implies, correctly, that not all patients can reach the target of less than 140/90. In this regard I think the Antihypertensive and Lipid-Lowering Treatment to Prevent Heart Attack Trial (ALLHAT)3 is very instructive. ALLHAT is the first trial ever to show improvement in the percent of people reaching goal blood pressure, rising from 52% to 63% during the 5-year study. ALLHAT shows us how good we can be and that we should not accept the failure to reach goal blood pressure in at least two-thirds of our patients.

The final and most important point is that the time for arguing the guideline recommendations4–6 based on our own opinion is past. Third-party payers and patients are demanding we meet those guidelines until new information suggests that they need to be altered. HYVET may force such an alteration, but until then Dr. Norenberg, Dr. Kelleher, and I must attempt to reach the target of less than 140/90 in the majority of our patients.

The final and most important point is that the time for arguing the guideline recommendations4–6 based on our own opinion is past. Third-party payers and patients are demanding we meet those guidelines until new information suggests that they need to be altered. HYVET may force such an alteration, but until then Dr. Norenberg, Dr. Kelleher, and I must attempt to reach the target of less than 140/90 in the majority of our patients.

References
  1. Imperial College London. Trial stops after stroke and mortality significantly reduced by blood pressure-lowering treatment for those aged 80 and over (Press Release). Accessed December 31, 2007. www.servier.com/pro/identification.asp.
  2. Hiltunen TP, Suonsyrja T, Hannila-Handelberg T, et al. Predictors of antihypertensive drug responses: initial data from a placebo-controlled, randomized, cross-over study with four antihypertensive drugs (The GENRES Study). Am J Hypertens 2007; 20:311–318.
  3. ALLHAT Collaborative Research Group. Major cardiovascular Events in hypertensive patients randomized to doxazosin vs chlorthalidone: the Antihypertensive and Lipid-Lowering Treatment to Prevent Heart Attack Trial (ALLHAT). JAMA 2000; 283:1967–1975. Correction in JAMA 2000; 288:2976.
  4. Khan NA, McAlister FA, Rabkin SW, et al Canadian Hypertension Education Program. The 2006 Canadian Hypertension Education Program recommendations for the management of hypertension: part II—therapy. Can J Cardiol 2006; 22:583–593.
  5. Chobanian AV, Bakris GL, Black HR, et al National High Blood Pressure Education Program Coordinating Committee. The Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure: the JNC 7 report. JAMA 2003; 289:2560–2572.
  6. Mancia G, De Backer G, Dominiczak A, et al the Task Force For the Management of Arterial Hypertension of the European Society of Hypertension and the European Society of Cardiology. 2007 guidelines for the management of arterial hypertension. J Hypertens 2007; 25:1105–1187.
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In Reply: First, I am gratified by the tremendous interest in the care of the hypertensive patient that my article has generated. Dr. Norenberg and Dr. Kelleher are insightful clinicians, as evidenced by the issues that their letters raise. Secondly, as I am now 54 years old, SHEP’s definition of “elderly” as 60 years old and older appears less accurate to me! However, I think we might all agree that to date there has not been a trial with people 65 years old and younger that has not shown benefit to treatment of the blood pressure to less than 140/90 mm Hg.

I believe that Dr. Kelleher’s quest for more “evidence-based” data refers to treatment data in patients above that age. Hopefully, this quest will be answered by the results of the Hypertension in the Very Elderly Trial (HYVET).1 In this trial, 3,845 patients older than 80 years were treated to less than 140/90 mm Hg. On July 12, 2007, the trial was stopped by the data safety and monitoring board, with the expectation of published results at the European Society of Hypertension and International Society of Hypertension joint meeting in Berlin in 2008.

Third, I must remind the reader that in practicing evidence-based medicine, we clinicians always must interpret the results of double-blind placebo-controlled trials, which tell us the mean effect of a treatment, but apply this information to the individual patient seated in front of us. A recent study2 of individual blood pressure response to four forms of monotherapy showed that, in some patients, the blood pressure rose with hydrochlorothiazide instead of falling!

Fourth, Dr. Kelleher implies, correctly, that not all patients can reach the target of less than 140/90. In this regard I think the Antihypertensive and Lipid-Lowering Treatment to Prevent Heart Attack Trial (ALLHAT)3 is very instructive. ALLHAT is the first trial ever to show improvement in the percent of people reaching goal blood pressure, rising from 52% to 63% during the 5-year study. ALLHAT shows us how good we can be and that we should not accept the failure to reach goal blood pressure in at least two-thirds of our patients.

The final and most important point is that the time for arguing the guideline recommendations4–6 based on our own opinion is past. Third-party payers and patients are demanding we meet those guidelines until new information suggests that they need to be altered. HYVET may force such an alteration, but until then Dr. Norenberg, Dr. Kelleher, and I must attempt to reach the target of less than 140/90 in the majority of our patients.

The final and most important point is that the time for arguing the guideline recommendations4–6 based on our own opinion is past. Third-party payers and patients are demanding we meet those guidelines until new information suggests that they need to be altered. HYVET may force such an alteration, but until then Dr. Norenberg, Dr. Kelleher, and I must attempt to reach the target of less than 140/90 in the majority of our patients.

In Reply: First, I am gratified by the tremendous interest in the care of the hypertensive patient that my article has generated. Dr. Norenberg and Dr. Kelleher are insightful clinicians, as evidenced by the issues that their letters raise. Secondly, as I am now 54 years old, SHEP’s definition of “elderly” as 60 years old and older appears less accurate to me! However, I think we might all agree that to date there has not been a trial with people 65 years old and younger that has not shown benefit to treatment of the blood pressure to less than 140/90 mm Hg.

I believe that Dr. Kelleher’s quest for more “evidence-based” data refers to treatment data in patients above that age. Hopefully, this quest will be answered by the results of the Hypertension in the Very Elderly Trial (HYVET).1 In this trial, 3,845 patients older than 80 years were treated to less than 140/90 mm Hg. On July 12, 2007, the trial was stopped by the data safety and monitoring board, with the expectation of published results at the European Society of Hypertension and International Society of Hypertension joint meeting in Berlin in 2008.

Third, I must remind the reader that in practicing evidence-based medicine, we clinicians always must interpret the results of double-blind placebo-controlled trials, which tell us the mean effect of a treatment, but apply this information to the individual patient seated in front of us. A recent study2 of individual blood pressure response to four forms of monotherapy showed that, in some patients, the blood pressure rose with hydrochlorothiazide instead of falling!

Fourth, Dr. Kelleher implies, correctly, that not all patients can reach the target of less than 140/90. In this regard I think the Antihypertensive and Lipid-Lowering Treatment to Prevent Heart Attack Trial (ALLHAT)3 is very instructive. ALLHAT is the first trial ever to show improvement in the percent of people reaching goal blood pressure, rising from 52% to 63% during the 5-year study. ALLHAT shows us how good we can be and that we should not accept the failure to reach goal blood pressure in at least two-thirds of our patients.

The final and most important point is that the time for arguing the guideline recommendations4–6 based on our own opinion is past. Third-party payers and patients are demanding we meet those guidelines until new information suggests that they need to be altered. HYVET may force such an alteration, but until then Dr. Norenberg, Dr. Kelleher, and I must attempt to reach the target of less than 140/90 in the majority of our patients.

The final and most important point is that the time for arguing the guideline recommendations4–6 based on our own opinion is past. Third-party payers and patients are demanding we meet those guidelines until new information suggests that they need to be altered. HYVET may force such an alteration, but until then Dr. Norenberg, Dr. Kelleher, and I must attempt to reach the target of less than 140/90 in the majority of our patients.

References
  1. Imperial College London. Trial stops after stroke and mortality significantly reduced by blood pressure-lowering treatment for those aged 80 and over (Press Release). Accessed December 31, 2007. www.servier.com/pro/identification.asp.
  2. Hiltunen TP, Suonsyrja T, Hannila-Handelberg T, et al. Predictors of antihypertensive drug responses: initial data from a placebo-controlled, randomized, cross-over study with four antihypertensive drugs (The GENRES Study). Am J Hypertens 2007; 20:311–318.
  3. ALLHAT Collaborative Research Group. Major cardiovascular Events in hypertensive patients randomized to doxazosin vs chlorthalidone: the Antihypertensive and Lipid-Lowering Treatment to Prevent Heart Attack Trial (ALLHAT). JAMA 2000; 283:1967–1975. Correction in JAMA 2000; 288:2976.
  4. Khan NA, McAlister FA, Rabkin SW, et al Canadian Hypertension Education Program. The 2006 Canadian Hypertension Education Program recommendations for the management of hypertension: part II—therapy. Can J Cardiol 2006; 22:583–593.
  5. Chobanian AV, Bakris GL, Black HR, et al National High Blood Pressure Education Program Coordinating Committee. The Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure: the JNC 7 report. JAMA 2003; 289:2560–2572.
  6. Mancia G, De Backer G, Dominiczak A, et al the Task Force For the Management of Arterial Hypertension of the European Society of Hypertension and the European Society of Cardiology. 2007 guidelines for the management of arterial hypertension. J Hypertens 2007; 25:1105–1187.
References
  1. Imperial College London. Trial stops after stroke and mortality significantly reduced by blood pressure-lowering treatment for those aged 80 and over (Press Release). Accessed December 31, 2007. www.servier.com/pro/identification.asp.
  2. Hiltunen TP, Suonsyrja T, Hannila-Handelberg T, et al. Predictors of antihypertensive drug responses: initial data from a placebo-controlled, randomized, cross-over study with four antihypertensive drugs (The GENRES Study). Am J Hypertens 2007; 20:311–318.
  3. ALLHAT Collaborative Research Group. Major cardiovascular Events in hypertensive patients randomized to doxazosin vs chlorthalidone: the Antihypertensive and Lipid-Lowering Treatment to Prevent Heart Attack Trial (ALLHAT). JAMA 2000; 283:1967–1975. Correction in JAMA 2000; 288:2976.
  4. Khan NA, McAlister FA, Rabkin SW, et al Canadian Hypertension Education Program. The 2006 Canadian Hypertension Education Program recommendations for the management of hypertension: part II—therapy. Can J Cardiol 2006; 22:583–593.
  5. Chobanian AV, Bakris GL, Black HR, et al National High Blood Pressure Education Program Coordinating Committee. The Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure: the JNC 7 report. JAMA 2003; 289:2560–2572.
  6. Mancia G, De Backer G, Dominiczak A, et al the Task Force For the Management of Arterial Hypertension of the European Society of Hypertension and the European Society of Cardiology. 2007 guidelines for the management of arterial hypertension. J Hypertens 2007; 25:1105–1187.
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Trends in breast cancer screening and diagnosis

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Early detection of breast cancer is vital to reducing the morbidity and mortality associated with this disease. After a brief overview of breast cancer epidemiology and risk assessment, this article describes screening and diagnostic imaging techniques as they are currently practiced to promote early breast cancer detection. We conclude with a review of image-guided needle biopsy techniques and a recommended approach to breast cancer screening in the general population.

EPIDEMIOLOGY OF BREAST CANCER: DAUNTING BUT SLOWLY IMPROVING

After nonmelanoma skin cancers, breast cancer is the most common form of cancer in women today, accounting for more than 1 in 4 cancers diagnosed in US women.1 If the current incidence of breast cancer remains constant, US females born today have an average risk of 12.7% of being diagnosed with breast cancer during their lifetime (ie, 1-in-8 lifetime risk), based on National Cancer Institute statistics.2,3 The American Cancer Society estimated that 178,480 new cases of invasive breast cancer and 62,030 new cases of in situ breast cancer would be diagnosed in the United States in 2007, and that 40,460 US women would die from breast cancer that year.1 Only lung cancer accounts for more cancer deaths in women.

The role of race and ethnicity

Breast cancer risk varies by race and ethnicity in the United States. After age 40 years, white women have a higher incidence of breast cancer compared with African American women; conversely, before age 40, African American women have a higher incidence compared with white women. African American women are more likely than their white counterparts to die from their breast cancer at any age. Incidence and death rates from breast cancer are lower among Asian American, American Indian, and Hispanic women compared with both white and African American women.1

Recent hopeful trends

Despite the daunting incidence numbers reviewed above, recent years have seen encouraging trends in US breast cancer epidemiology.

For invasive breast cancer, the growth in incidence rates slowed during the 1990s, and rates actually declined by 3.5% per year during the period 2001–2004.1 These changes are likely attributable to multiple factors, including variations in rates of mammography screening and decreased use of hormone replacement therapy after the 2002 publication of results from the Women’s Health Initiative trial. Still, the trend is encouraging.

Incidence rates of in situ breast cancer rose rapidly during the 1980s and 1990s, largely due to increased diagnosis by mammography, but have plateaued since 2000 among women aged 50 years or older while continuing to rise modestly in younger women.1

Meanwhile, the overall death rate from breast cancer in women declined by 2.2% annually from 1990 to 2004.1

RISK FACTORS AND RISK MODELING

Risk factors for breast cancer have been well described and include the following:

  • Age ( 65 years vs < 65 years, although risk increases across all ages up to 80 years)
  • Family history of breast cancer
  • Late age at first full-term pregnancy (> 30 years)
  • Never having a full-term pregnancy
  • Early menarche and/or late menopause
  • Certain genetic mutations for breast cancer (eg, in the BRCA1, BRCA2, ATM, and CHEK2 genes)
  • Certain breast disorders, such as atypical hyper­plasia or lobular carcinoma in situ
  • High breast tissue density
  • High bone density (postmenopausal)
  • High-dose radiation to the chest.

The above risk factors are, in general, fixed. More elusive risk factors, in that they are variable and modifiable, include obesity, use of exogenous hormones (recent and long-term hormone replacement therapy; recent oral contraceptive use), alcohol use, tobacco use, diet, and a low level of physical activity. Breast implants are not a risk factor for breast cancer, though their presence does obscure breast tissue on imaging, limiting the detectability of a tumor when it does develop (see “Screening the Surgically Altered Breast” below).

Women with a genetic predisposition to breast can­cer merit special consideration. Hereditary breast cancers account for about 5% to 10% of breast cancer cases, and the BRCA1 and BRCA2 mutations are responsible for 80% to 90% of these cases, while other gene mutations (noted above) or genetic syndromes account for the rest. Clinical options for managing women with a genetic predisposition include surveillance, chemoprevention, and prophylactic surgery.4 Detailed discussion of the management of these women is beyond the scope of this article, but readers are referred to www.nccn.org/professionals/physician_gls/PDF/ genetics_screening.pdf for practice guidelines from the National Comprehensive Cancer Network.5

Tools for risk assessment

Several tools are available to predict a woman’s risk of developing breast cancer. Probably the most widely used is the Gail model,6 which was published in 1989 and forms the statistical basis for the National Cancer Institute’s Breast Cancer Risk Assessment Tool, which is available for downloading at www.cancer.gov/bcrisktool.7 The model uses a woman’s personal medical and reproductive histories and her family history of breast cancer to predict her 5-year and lifetime risk of developing invasive breast cancer. Factors included in the risk calculation are age, race, number of first-degree relatives with a history of breast cancer, age at first live birth (or nulliparity), age at menarche, number of breast biopsies, and presence or absence of a history of atypical hyperplasia. The relative risk for each of these factors is multiplied to generate a composite risk. The Gail model has been validated for white women but has been shown to underestimate breast cancer risk in African American women; it remains to be validated for Hispanic women, Asian women, and other subgroups of women.7

The commonly taught “triple test” for palpable breast lesions is another risk model that incorporates clinical findings. It consists of a physical examination, mammography, and fine-needle aspiration8 (in the “modified triple test,” ultrasonography replaces mammography9). When all three elements of the test are concordant (either all benign or all malignant), the triple test has been reported to have 100% diagnostic accuracy.8,9

 

 

A WORD ABOUT BREAST EXAMINATION

Breast self-examination

American Cancer Society guidelines for early breast cancer detection, 2003
The role of breast self-examination is controversial in the literature. There are currently no data to support the contention that it increases detection of breast cancer. As a result, the American Cancer Society no longer recommends that all women perform monthly breast self-exams, although it advises that all women be told about the potential benefits and limitations of breast self-examination (Table 1).10 Research suggests that structured breast self-examination is less important than self-awareness. Women who detect breast tumors themselves typically find them outside of a structured examination, such as when bathing or getting dressed.1

Clinical breast examination

As noted in Table 1, regular clinical breast examinations are recommended by the American Cancer Society for asymptomatic women at average risk for breast cancer, with the recommended frequency depending on the woman’s age.10 The US Preventive Services Task Force takes the stance that there is insufficient evidence to recommend for or against breast cancer screening with clinical breast examination alone.11 While it is unclear precisely what contribution clinical breast exams make to the detection of breast cancer, they certainly provide clinicians an opportunity to raise awareness about breast cancer and educate patients about breast symptoms, risk factors, and new detection technologies.10

SCREENING MAMMOGRAPHY

Screening mammography is the single most effective method of early breast cancer detection,1 and the American Cancer Society recommends that women at average risk for breast cancer have annual screening mammograms beginning at age 40 years (Table 1).10

The evidence base

The primary evidence supporting the recommendation for screening mammography comes from eight randomized trials that studied the effectiveness of screening mammography for cancer detection in Sweden,12,13 the United States,14 Canada,15,16 and the United Kingdom.17 Overall, breast cancers detected by screening mammography are smaller and have a more favorable history and tumor biology than those detected clinically without the use of imaging. A pooled analysis of the most recent data from all randomized trials of screening mammography in women aged 39 to 74 years showed a 24% reduction in mortality (95% CI, 18% to 30%) in women undergoing screening mammography, although not all individual trials showed a statistically significant mortality reduction.10

The screening procedure at a glance

Table 2. Screening versus diagnostic mammography
A screening mammogram, as distinguished from a diagnostic mammogram (Table 2), consists of two standard radiographic views of each breast (mediolateral oblique and craniocaudal).18 The woman being screened is advised to wear no powders or deodorants and should be asymptomatic. Women with symptoms (eg, breast lump, focal tenderness, nipple discharge) should be scheduled for a diagnostic mammogram (Table 2), not a screening mammogram.

Table 3. BI-RADS categories for mammography reporting
The mammography technologist obtains the standard radiographs of each breast, and computer-assisted detection software can be applied to the mammogram films to aid in the identification of abnormalities as a computer-generated second opinion. Although computer-assisted detection is not currently standard of care, it is available at most institutions. The films are read later by a radiologist who will interpret them according to the American College of Radiology’s standard system of describing mammogram findings, called the Breast Imaging Reporting and Data System (BI-RADS). In this system, results are assigned a category rating on a scale from 0 to 6 (Table 3). This standardization allows physicians to use consistent language, ensures better follow-up of suspicious findings, and reduces interobserver variability.

Analog vs digital

Figure 1. Normal dense digital mammogram images showing right and left mediolateral oblique views and right and left craniocaudal views.
Figure 1. Normal dense digital mammogram images showing right and left mediolateral oblique views (panels A and B, respectively) and right and left craniocaudal views (panels C and D, respectively).
Breast radiographs can be obtained by the traditional film-screen (analog) method or obtained digitally (Figure 1).

Digital mammograms are radiographs that are acquired digitally and allow digital enhancement to aid in interpretation. When receiving a digital mammogram, the woman being screened still undergoes compression and positioning as for a conventional film-screen mammogram, and the images are still produced with x-rays. However, digitization allows manipulation of the images as they are being interpreted, enabling the radiologist to focus on areas of interest or to “window” and “level” the image, similar to adjusting the tint and contrast on a television set.

Research trials comparing digital and film mammography, such as the Digital Mammographic Imaging Screening Trial (DMIST),19 have found digital mammography to be especially helpful in women with extremely dense breasts, who have an elevated risk for breast cancer. For women with fatty breasts the differences between the types of mammogram are less significant.

Table 4. Screening options for breast cancer
The type of mammogram a woman receives generally depends on the equipment available at the site she visits. Digital mammography units currently cost approximately 3 times as much as corresponding film-screen units, yet digital mammograms command reimbursement rates only about 1.6 times higher than those for film mammograms (Table 4). A hard copy of the digitized image can be printed, although the hope is that eventually fewer mammogram images will be printed and space-saving electronic storage will supplant storage of printed films.

For further detail on digital mammography, readers are referred to the recent review by D’Orsi and Newell.20

SCREENING THE SURGICALLY ALTERED BREAST

Following surgical cancer treatment or reconstructive surgery, screening of remaining breast tissue for cancer is still performed and is just as essential to patient care as presurgery screening. The first line of defense for any patient with a surgically altered breast is mammography.

When a patient has had breast reconstruction following mastectomy, it is presumed that very little breast tissue remains. There is no standard of care for screening the nonbreast tissue introduced by the reconstructive procedure. Nonetheless, at our institution we perform a single mediolateral oblique projec­tion on any flap-reconstructed breast in light of rare anecdotal accounts of cancer found in and around the reconstructed breast. When problem-solving is needed to evaluate a new palpable abnormality, special angled views (tangential) and directed ultrasonography can be used. We do not routinely perform screening mammography on mastectomy patients who have had reconstruction with implants, but we can investigate areas of clinical concern (eg, due to palpable masses) with directed ultrasonography.21

The cosmetically altered breast presents its own issues in cancer detection. Both silicone-gel and saline implants obscure breast tissue that could contain cancer. For this reason, special implant-displaced views are performed that allow visualization of a larger portion of breast tissue beyond that allowed by standard mammograms. Therefore, an asymptomatic patient with implants who presents for screening mammography will have eight mammography views obtained instead of the routine four views.22

Patients who have had breast reduction, excisional biopsy, or prior breast conservation surgery (lumpectomy and radiation) are screened in a routine manner with mammography.23 Patients who have had prior surgical procedures often have architectural distortion at the surgical site, which is generally stable over time. Any prior surgical procedure can predispose the patient to the development of fat necrosis, which is a benign entity but can mimic cancer in its early phases through the development of calcifications and, occasionally, a new palpable lump. We most commonly confront this issue in the period 2 to 4 years after the operation.24 Occasionally the findings are such that a biopsy is needed to determine whether fat necrosis is the cause. In this population, magnetic resonance imaging (MRI) can also be used as an adjunctive tool, and can sometimes clarify the presence of fat necrosis and other postoperative findings, such as seroma, hematoma, or inflammation. In other instances, only a biopsy can determine what a particular finding represents.

 

 

DIAGNOSTIC MAMMOGRAPHY

Any mammography performed for a problem-solving purpose is considered diagnostic mammography (Table 2); the exam is tailored to the patient’s individual issue.25 Diagnostic mammography requires the presence of a qualified radiologist at the time of imaging. The goal is to come to a final conclusion about the mammographic or clinical finding at the time of the patient’s visit. Special views are usually performed that include, but are not limited to, spot-compression or spot-magnification views, depending on the finding.26 The patient is then given a same-day written account of the results at the conclusion of the study.

Examples of problems that may prompt diagnostic mammography include patient-reported palpable findings, screening mammography findings that are recalled for further investigation, or physician-detected findings. Often, ultrasonography is also used at the same visit and its results are integrated with the mammography findings to arrive at the final impression.

BREAST ULTRASONOGRAPHY AND BREAST MRI

Ultrasonography and MRI are two very useful adjunctive tools for breast lesion detection and analysis. At this time, however, neither is a replacement for screening mammography as a primary screening modality; rather, each is used in a complementary fashion for lesion analysis and biopsy guidance.10,27

Ultrasonography: Best for further study of areas of interest

Ultrasonography uses high-frequency sound waves to create a picture using a probe directed to an area of interest in the breast. The optimal probe for breast imaging is one typically operating in a frequency of 12 to 18 MHz and 4 cm in scanning width.

Because ultrasonography provides views of only a small area of breast tissue at a time, it is operator and patient dependent. It is best used when a known area of interest needs further evaluation, such as when a patient reports a palpable abnormality or when a mass is detected on mammography.

Ultrasonography uses no ionizing radiation, so it is especially helpful in young or pregnant women who present with a palpable abnormality. It is also useful for patients who have recently undergone a surgical procedure. As ultrasonography is currently used, no compression is needed and it can be performed easily in patients with limited mobility. Needle biopsies are most easily performed using ultrasonographic guidance.

MRI: An emerging adjunct under study in high-risk patients

Breast MRI is an emerging modality under active research that shows promise for adjunctive breast imaging. It is commonly being used as a tool for local staging in women with newly diagnosed breast cancer.28,29 Current research is focused on its suitability as a screening modality, in conjunction with mammography, in high-risk populations based on family history and other factors addressed in the Gail model6 and similar risk models.

The limitations of breast MRI include its high cost, unsuitability for some patients (eg, the obese [due to table weight constraints], patients with pacemakers, patients with renal failure), the potential for unnecessary biopsies due to decreased specificity, lack of portability, and the length of time required for imaging.

Figure 2. Contrast-enhanced breast MRI in the axial projection demonstrating multiple malignant masses in the left breast.
Figure 2. Contrast-enhanced breast MRI in the axial projection demonstrating multiple malignant masses in the left breast.
Breast MRI is a four-dimensional study, with time as the fourth dimension (in addition to length, width, and depth). The patient receives an intravenous line and is given gadolinium for contrast enhancement. Imaging time depends on the protocol used and is specific to the imaging center, but it typically involves approximately 20 minutes of motionless scan time for the patient.30 Lesions are detectable by their level of vascularity, and diagnostic images are dependent on adequate contrast enhancement (Figure 2). Several software packages are commercially available that perform post-processing of breast MRI data. Although cancer on MRI has a characteristic enhancement curve, there is much overlap with benign entities; as a result, morphologic characteristics of the lesion—such as size, shape, and borders—are paramount.31

When a lesion is initially detected with MRI, an attempt is usually made to identify it with ultrasonography as well, owing to the ease of ultrasonography-guided biopsy.32 It is important, however, for an imaging center that performs breast MRI to be able to perform biopsies using MRI guidance since not all lesions are identifiable by other modalities.33 Breast MRI studies are not easily portable between imaging facilities since a typical study contains a thousand or more images that are best viewed on a site-specific workstation monitor.

HISTOLOGIC CONFIRMATION

Once an abnormality is detected on imaging, a confirmatory histologic diagnosis is needed before embarking on medical or surgical treatments. Image-guided biopsy plays a critical role in this regard. In our breast imaging section, we perform ultrasonography-guided core needle biopsy and aspiration, stereotactic needle biopsy, and MRI-guided needle biopsy, as well as wire localizations on the day of surgery. All procedures performed are considered minimally invasive and are suitable for a vast majority of patients for whom they are recommended.34

Ultrasonography-guided procedures

Figure 3. “Pre-fire” (top) and “post-fire” (bottom) ultrasonographic views of an 18-gauge percutaneous needle core biopsy of a suspicious breast mass.
Figure 3. “Pre-fire” (top) and “post-fire” (bottom) ultrasonographic views of an 18-gauge percutaneous needle core biopsy of a suspicious breast mass.
Ultrasonography-guided core needle biopsy is the modality of choice for most patients when a suspicious abnormality is visible on ultrasonography.35 Generally, the patient is placed in an angled supine position, with her arm elevated for optimal lesion accessibility. Following administration of a local anesthetic, a small nick is made in the skin and a specialized 14- or 18­gauge spring-loaded core biopsy needle is inserted during real-time imaging with the ultrasonographic probe (Figure 3). Several samples are obtained, and the pathologic diagnosis is generally available within a few working days. Breast core biopsy needles are also commercially available as handheld vacuum-assisted devices, which can sample larger amounts of tissue in a short time but are more expensive and often accompanied by a noisy vacuum device.

Ultrasonography-guided fine-needle aspiration is an additional option for patients when core biopsy cannot be performed because the lesion is located adjacent to sensitive structures, such as implants or the pectoralis muscle. Fine-needle aspiration is also used to evaluate complicated breast cysts and, occasionally, lymph nodes. Drawbacks of fine-needle aspiration (relative to larger core needle biopsy) are that it is limited to cytologic, not histologic, examination and that it yields a higher false-negative rate.

Stereotactically guided procedures

Stereotactic core biopsy is performed when lesions—usually calcifications, but sometimes masses—are visible only on mammography.36,37 “Stereotactic” refers to the means by which the target is localized, ie, with a “stereo pair” of digital mammogram pictures with a small field of view. The patient is placed in a prone position with the breast of interest placed through a hole at the undersurface of the table in a light compression. The biopsy unit is attached to a dedicated computer that calculates coordinates. The needle is then brought to the coordinate position for sampling to take place.

The biopsy needle used for this procedure is vacuum-assisted, which means the needle is placed only one time, and samples in the vicinity of the target are vacuumed into a reservoir for retrieval. If the target is calcifications, a specimen radiograph is routinely performed to verify adequate sample acquisition before the patient leaves the biopsy table.38 When the original target is no longer visible, a titanium marker clip is often placed. This facilitates localization of the biopsied area should surgery be needed.

Stereotactic biopsy has several limitations that ultrasonography-guided biopsy does not. The patient must be cooperative and mobile enough to get on the table and hold a prone position for the duration of the procedure (about 45 minutes). If the patient is taking warfarin or has a bleeding diathesis, preprocedure steps such as clinical evaluation to check the international normalized ratio and prothrombin time, or even stopping the warfarin temporarily, may be needed to minimize bleeding during the procedure, as a 9- or 12-gauge needle is used. Stereotactic biopsy is also limited by lesion position. A far posterior lesion may not be accessible if it does not reach through the hole in the table. Also, there is a limit to the compressed thinness of breast tissue that can be biopsied. Finally, most tables used for stereotactic biopsy have a functioning weight limit of 300 pounds.

Open surgical biopsy

A final option is open surgical biopsy, which is used when the more minimally invasive techniques are equivocal, discordant, or impossible due to the limitations noted above, or when atypical cells are found.

HOW SHOULD WE SCREEN OUR PATIENTS?

The various screening options for breast cancer are listed in Table 4, along with their market approval status and Medicare reimbursement levels.

For women at average risk for breast cancer, the American Cancer Society recommends an annual mammogram and clinical breast examination by a physician beginning at age 40 (Table 1).10

Table 5. Recommendations for breast MRI screening as an adjunct to mammography
For women at high risk for developing breast cancer (> 20% to 25% lifetime risk, based on the Gail model6 or similar risk models), breast MRI should be considered as an adjunct to annual screening mammography (Table 5).39 Evidence is currently insufficient, however, to support the adjunctive use of breast MRI for women with other risk factors (Table 5), although studies are ongoing.39

In conclusion, the process of finding breast cancer includes regular screening with mammography and clinical breast examination (plus MRI in high-risk women) and the diagnostic modalities of ultrasonography, MRI, and diagnostic mammography. Our ultimate goal is to find cancer at the earliest time possible by all means necessary for the individual patient.

References
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  2. Ries LAG, Harkins D, Krapcho M, et al. SEER Cancer Statistics Review, 1975–2003. Bethesda, MD: National Cancer Institute; 2006.
  3. National Cancer Institute fact sheet: probability of breast cancer in American women. National Cancer Institute Web site. http://www.cancer.gov/cancertopics/factsheet/Detection/probability-breast-cancer. Accessed January 18, 2008.
  4. Thull DL, Vogel VG. Recognition and management of hereditary breast cancer syndromes. Oncologist 2004; 9:13–24.
  5. National Comprehensive Cancer Network. NCCN Clinical practice guidelines in oncology: genetic/familial high-risk assessment: breast and ovarian. Available at: http://www.nccn.org/professionals/physician_gls/PDF/genetics_screening.pdf. Accessed January 28, 2008.
  6. Gail MH, Brinton LA, Byar DP, et al. Projecting individualized probabilities of developing breast cancer for white females who are being examined annually. J Natl Cancer Inst 1989; 81:1879–1886.
  7. Breast cancer risk assessment tool. An interactive tool for measuring the risk of invasive breast cancer. National Cancer Institute Web site. http://www.cancer.gov/bcrisktool/. Accessed January 21, 2008.
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  9. Vetto JT, Pommier RF, Schmidt WA, Eppich H, Alexander PW. Diagnosis of palpable breast lesions in younger women by the modified triple test is accurate and cost-effective. Arch Surg 1996; 131:967–974.
  10. Smith RA, Saslow D, Sawyer KA, et al. American Cancer Society guidelines for breast cancer screening: update 2003. CA Cancer J Clin 2003; 53:141–169.
  11. U.S. Preventive Services Task Force. Screening for breast cancer: recommendations and rationale. Ann Intern Med 2002; 137:344–346.
  12. Nyström L, Andersson I, Bjurstam N, et al. Long-term effects of mammography screening: updated overview of the Swedish randomized trials. Lancet 2002; 359:909–919.
  13. Tabar L, Fagerberg G, Chen HH, et al. Efficacy of breast cancer screening by age: new results from the Swedish Two-County Trial. Cancer 1995; 75:2507–2517.
  14. Shapiro S, Venet W, Strax P, Venet L. Periodic Screening for Breast Cancer: The Health Insurance Plan Project and Its Sequelae, 1963-1986. Baltimore, MD: Johns Hopkins University Press; 1988.
  15. Miller AB, To T, Baines CJ, Wall C. Canadian National Breast Screening Study-2: 13-year results of a randomized trial in women aged 50-59 years. J Natl Cancer Inst 2000; 92:1490–1499.
  16. Miller AB, To T, Baines CJ, Wall C. The Canadian National Breast Screening Study-1: breast cancer mortality after 11 to 16 years of follow-up: a randomized screening trial of mammography in women age 40 to 49 years. Ann Intern Med 2002; 137:305–312.
  17. Alexander FE, Anderson TJ, Brown HK, et al. 14 years of follow-up from the Edinburgh randomized trial of breast-cancer screening. Lancet 1999; 353:1903–1908.
  18. Eklund GW, Cardenosa G. The art of mammographic positioning. Radiol Clin North Am 1992; 30:21–53.
  19. Pisano E, Gatsonis C, Hendrick E, et al. Diagnostic performance of digital versus film mammography for breast cancer screening. N Engl J Med 2005; 353:1773–1783.
  20. D’Orsi CJ, Newell MS. Digital mammography: clinical implementation and clinical trials. Semin Roentgenol 2007; 42:236–242.
  21. Fajardo LL, Roberts CC, Hunt KR. Mammographic surveillance of breast cancer patients: should the masectomy site be imaged? AJR Am J Roentgenol 1993; 161:953–955.
  22. Eklund GW, Busby RC, Miller SH, Job JS. Improved imaging of the augmented breast. AJR Am J Roentgenol 1988; 151:469–473.
  23. Mendelson EB. Evaluation of the postoperative breast. Radiol Clin North Am 1992; 30:107–138.
  24. Philpotts LE, Lee CH, Haffty BG, et al. Mammographic findings of recurrent breast cancer after l
  25. ACR practice guideline for the performance of diagnostic mammography. American College of Radiology Web site. http:// www.acr.org/SecondaryMainMenuCategories/quality_safety/guidelines/breast/diagnostic_mammography.aspx. Accessed January 14, 2008.
  26. Sickles EA. Practical solutions to common mammographic problems: tailoring the examination. AJR Am J Roentgenol 1988; 151:31–39.
  27. Jackson VP. The role of US in breast imaging. Radiology 1990; 177:305–311.
  28. Lehman CD, Gatsonis C, Kuhl CK, et al. MRI evaluation of the contralateral breast in women with recently diagnosed breast cancer. N Engl J Med 2007; 356:1295–1303.
  29. Liberman L. Breast MR imaging in assessing extent of disease. Magn Reson Imaging Clin N Am 2006; 14:339–349.
  30. Kuhl C. The current status of breast MR imaging. Part I. Choice of technique, image interpretation, diagnostic accuracy, and transfer to clinical practice. Radiology 2007; 244:356–378.
  31. Flickinger FW, Allison JD, Sherry RM, Wright JC. Differentiation of benign from malignant breast masses by time-intensity evaluation of contrast-enhanced MRI. Magn Reson Imaging 1993; 11:617–620.
  32. Chellman-Jeffers MR, Listinsky J, Dinunzio A, Lieber M, Rim A. Utility of second look ultrasound as an adjunct to contrast-enhanced MRI of the breast. Paper presented at: American Roentgen Ray Society Meeting; May 4, 2006; Vancouver, BC. Abstract 269.
  33. Orel SG, Schnall MD, Newman RW, Powell CM, Torosian MH, Rosato EF. MR imaging-guided localization and biopsy of breast lesions: initial experience. Radiology 1994; 193:97–102.
  34. Liberman L. Percutaneous imaging-guided core breast biopsy: state of the art at the millennium. AJR Am J Roentgenol 2000; 174:1191–1199.
  35. Fornage BD, Coan JD, David CL. Ultrasound-guided needle biopsy of the breast and other interventional procedures. Radiol Clin North Am 1992; 30:167–185.
  36. Parker SH, Lovin JD, Jobe WE, et al. Nonpalpable breast lesions: stereotactic automated large-core biopsies. Radiology 1991; 180:403–407.
  37. Parker SH, Burbank F, Jackman RJ, et al. Percutaneous large-core breast biopsy: a multi-institutional study. Radiology 1994; 193:3 59–364.
  38. Liberman L, Evans WP III, Dershaw DD, et al. Radiography of microcalcifications in stereotaxic mammary core biopsy specimens. Radiology 1994; 190:223–225.
  39. Saslow D, Boetes C, Burke W, et al. American Cancer Society guidelines for breast screening with MRI as an adjunct to mammography. CA Cancer J Clin 2007; 57:75–89.
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Department of Diagnostic Radiology and Women’s Health Center, Cleveland Clinic, Cleveland, OH

Melanie Chellman-Jeffers, MD
Department of Diagnostic Radiology and Women’s Health Center, Cleveland Clinic, Cleveland, OH

Alicia Fanning, MD
Department of General Surgery, Cleveland Clinic, Cleveland, OH 

Correspondence: Alice Rim, MD, Department of Diagnostic Radiology, Cleveland Clinic, 9500 Euclid Avenue, A10, Cleveland, OH 44195; [email protected]

All authors reported that they have no commercial affiliations or financial interests that pose a potential conflict of interest with this article.

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Alicia Fanning, MD
Department of General Surgery, Cleveland Clinic, Cleveland, OH 

Correspondence: Alice Rim, MD, Department of Diagnostic Radiology, Cleveland Clinic, 9500 Euclid Avenue, A10, Cleveland, OH 44195; [email protected]

All authors reported that they have no commercial affiliations or financial interests that pose a potential conflict of interest with this article.

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Department of Diagnostic Radiology and Women’s Health Center, Cleveland Clinic, Cleveland, OH

Melanie Chellman-Jeffers, MD
Department of Diagnostic Radiology and Women’s Health Center, Cleveland Clinic, Cleveland, OH

Alicia Fanning, MD
Department of General Surgery, Cleveland Clinic, Cleveland, OH 

Correspondence: Alice Rim, MD, Department of Diagnostic Radiology, Cleveland Clinic, 9500 Euclid Avenue, A10, Cleveland, OH 44195; [email protected]

All authors reported that they have no commercial affiliations or financial interests that pose a potential conflict of interest with this article.

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Related Articles

Early detection of breast cancer is vital to reducing the morbidity and mortality associated with this disease. After a brief overview of breast cancer epidemiology and risk assessment, this article describes screening and diagnostic imaging techniques as they are currently practiced to promote early breast cancer detection. We conclude with a review of image-guided needle biopsy techniques and a recommended approach to breast cancer screening in the general population.

EPIDEMIOLOGY OF BREAST CANCER: DAUNTING BUT SLOWLY IMPROVING

After nonmelanoma skin cancers, breast cancer is the most common form of cancer in women today, accounting for more than 1 in 4 cancers diagnosed in US women.1 If the current incidence of breast cancer remains constant, US females born today have an average risk of 12.7% of being diagnosed with breast cancer during their lifetime (ie, 1-in-8 lifetime risk), based on National Cancer Institute statistics.2,3 The American Cancer Society estimated that 178,480 new cases of invasive breast cancer and 62,030 new cases of in situ breast cancer would be diagnosed in the United States in 2007, and that 40,460 US women would die from breast cancer that year.1 Only lung cancer accounts for more cancer deaths in women.

The role of race and ethnicity

Breast cancer risk varies by race and ethnicity in the United States. After age 40 years, white women have a higher incidence of breast cancer compared with African American women; conversely, before age 40, African American women have a higher incidence compared with white women. African American women are more likely than their white counterparts to die from their breast cancer at any age. Incidence and death rates from breast cancer are lower among Asian American, American Indian, and Hispanic women compared with both white and African American women.1

Recent hopeful trends

Despite the daunting incidence numbers reviewed above, recent years have seen encouraging trends in US breast cancer epidemiology.

For invasive breast cancer, the growth in incidence rates slowed during the 1990s, and rates actually declined by 3.5% per year during the period 2001–2004.1 These changes are likely attributable to multiple factors, including variations in rates of mammography screening and decreased use of hormone replacement therapy after the 2002 publication of results from the Women’s Health Initiative trial. Still, the trend is encouraging.

Incidence rates of in situ breast cancer rose rapidly during the 1980s and 1990s, largely due to increased diagnosis by mammography, but have plateaued since 2000 among women aged 50 years or older while continuing to rise modestly in younger women.1

Meanwhile, the overall death rate from breast cancer in women declined by 2.2% annually from 1990 to 2004.1

RISK FACTORS AND RISK MODELING

Risk factors for breast cancer have been well described and include the following:

  • Age ( 65 years vs < 65 years, although risk increases across all ages up to 80 years)
  • Family history of breast cancer
  • Late age at first full-term pregnancy (> 30 years)
  • Never having a full-term pregnancy
  • Early menarche and/or late menopause
  • Certain genetic mutations for breast cancer (eg, in the BRCA1, BRCA2, ATM, and CHEK2 genes)
  • Certain breast disorders, such as atypical hyper­plasia or lobular carcinoma in situ
  • High breast tissue density
  • High bone density (postmenopausal)
  • High-dose radiation to the chest.

The above risk factors are, in general, fixed. More elusive risk factors, in that they are variable and modifiable, include obesity, use of exogenous hormones (recent and long-term hormone replacement therapy; recent oral contraceptive use), alcohol use, tobacco use, diet, and a low level of physical activity. Breast implants are not a risk factor for breast cancer, though their presence does obscure breast tissue on imaging, limiting the detectability of a tumor when it does develop (see “Screening the Surgically Altered Breast” below).

Women with a genetic predisposition to breast can­cer merit special consideration. Hereditary breast cancers account for about 5% to 10% of breast cancer cases, and the BRCA1 and BRCA2 mutations are responsible for 80% to 90% of these cases, while other gene mutations (noted above) or genetic syndromes account for the rest. Clinical options for managing women with a genetic predisposition include surveillance, chemoprevention, and prophylactic surgery.4 Detailed discussion of the management of these women is beyond the scope of this article, but readers are referred to www.nccn.org/professionals/physician_gls/PDF/ genetics_screening.pdf for practice guidelines from the National Comprehensive Cancer Network.5

Tools for risk assessment

Several tools are available to predict a woman’s risk of developing breast cancer. Probably the most widely used is the Gail model,6 which was published in 1989 and forms the statistical basis for the National Cancer Institute’s Breast Cancer Risk Assessment Tool, which is available for downloading at www.cancer.gov/bcrisktool.7 The model uses a woman’s personal medical and reproductive histories and her family history of breast cancer to predict her 5-year and lifetime risk of developing invasive breast cancer. Factors included in the risk calculation are age, race, number of first-degree relatives with a history of breast cancer, age at first live birth (or nulliparity), age at menarche, number of breast biopsies, and presence or absence of a history of atypical hyperplasia. The relative risk for each of these factors is multiplied to generate a composite risk. The Gail model has been validated for white women but has been shown to underestimate breast cancer risk in African American women; it remains to be validated for Hispanic women, Asian women, and other subgroups of women.7

The commonly taught “triple test” for palpable breast lesions is another risk model that incorporates clinical findings. It consists of a physical examination, mammography, and fine-needle aspiration8 (in the “modified triple test,” ultrasonography replaces mammography9). When all three elements of the test are concordant (either all benign or all malignant), the triple test has been reported to have 100% diagnostic accuracy.8,9

 

 

A WORD ABOUT BREAST EXAMINATION

Breast self-examination

American Cancer Society guidelines for early breast cancer detection, 2003
The role of breast self-examination is controversial in the literature. There are currently no data to support the contention that it increases detection of breast cancer. As a result, the American Cancer Society no longer recommends that all women perform monthly breast self-exams, although it advises that all women be told about the potential benefits and limitations of breast self-examination (Table 1).10 Research suggests that structured breast self-examination is less important than self-awareness. Women who detect breast tumors themselves typically find them outside of a structured examination, such as when bathing or getting dressed.1

Clinical breast examination

As noted in Table 1, regular clinical breast examinations are recommended by the American Cancer Society for asymptomatic women at average risk for breast cancer, with the recommended frequency depending on the woman’s age.10 The US Preventive Services Task Force takes the stance that there is insufficient evidence to recommend for or against breast cancer screening with clinical breast examination alone.11 While it is unclear precisely what contribution clinical breast exams make to the detection of breast cancer, they certainly provide clinicians an opportunity to raise awareness about breast cancer and educate patients about breast symptoms, risk factors, and new detection technologies.10

SCREENING MAMMOGRAPHY

Screening mammography is the single most effective method of early breast cancer detection,1 and the American Cancer Society recommends that women at average risk for breast cancer have annual screening mammograms beginning at age 40 years (Table 1).10

The evidence base

The primary evidence supporting the recommendation for screening mammography comes from eight randomized trials that studied the effectiveness of screening mammography for cancer detection in Sweden,12,13 the United States,14 Canada,15,16 and the United Kingdom.17 Overall, breast cancers detected by screening mammography are smaller and have a more favorable history and tumor biology than those detected clinically without the use of imaging. A pooled analysis of the most recent data from all randomized trials of screening mammography in women aged 39 to 74 years showed a 24% reduction in mortality (95% CI, 18% to 30%) in women undergoing screening mammography, although not all individual trials showed a statistically significant mortality reduction.10

The screening procedure at a glance

Table 2. Screening versus diagnostic mammography
A screening mammogram, as distinguished from a diagnostic mammogram (Table 2), consists of two standard radiographic views of each breast (mediolateral oblique and craniocaudal).18 The woman being screened is advised to wear no powders or deodorants and should be asymptomatic. Women with symptoms (eg, breast lump, focal tenderness, nipple discharge) should be scheduled for a diagnostic mammogram (Table 2), not a screening mammogram.

Table 3. BI-RADS categories for mammography reporting
The mammography technologist obtains the standard radiographs of each breast, and computer-assisted detection software can be applied to the mammogram films to aid in the identification of abnormalities as a computer-generated second opinion. Although computer-assisted detection is not currently standard of care, it is available at most institutions. The films are read later by a radiologist who will interpret them according to the American College of Radiology’s standard system of describing mammogram findings, called the Breast Imaging Reporting and Data System (BI-RADS). In this system, results are assigned a category rating on a scale from 0 to 6 (Table 3). This standardization allows physicians to use consistent language, ensures better follow-up of suspicious findings, and reduces interobserver variability.

Analog vs digital

Figure 1. Normal dense digital mammogram images showing right and left mediolateral oblique views and right and left craniocaudal views.
Figure 1. Normal dense digital mammogram images showing right and left mediolateral oblique views (panels A and B, respectively) and right and left craniocaudal views (panels C and D, respectively).
Breast radiographs can be obtained by the traditional film-screen (analog) method or obtained digitally (Figure 1).

Digital mammograms are radiographs that are acquired digitally and allow digital enhancement to aid in interpretation. When receiving a digital mammogram, the woman being screened still undergoes compression and positioning as for a conventional film-screen mammogram, and the images are still produced with x-rays. However, digitization allows manipulation of the images as they are being interpreted, enabling the radiologist to focus on areas of interest or to “window” and “level” the image, similar to adjusting the tint and contrast on a television set.

Research trials comparing digital and film mammography, such as the Digital Mammographic Imaging Screening Trial (DMIST),19 have found digital mammography to be especially helpful in women with extremely dense breasts, who have an elevated risk for breast cancer. For women with fatty breasts the differences between the types of mammogram are less significant.

Table 4. Screening options for breast cancer
The type of mammogram a woman receives generally depends on the equipment available at the site she visits. Digital mammography units currently cost approximately 3 times as much as corresponding film-screen units, yet digital mammograms command reimbursement rates only about 1.6 times higher than those for film mammograms (Table 4). A hard copy of the digitized image can be printed, although the hope is that eventually fewer mammogram images will be printed and space-saving electronic storage will supplant storage of printed films.

For further detail on digital mammography, readers are referred to the recent review by D’Orsi and Newell.20

SCREENING THE SURGICALLY ALTERED BREAST

Following surgical cancer treatment or reconstructive surgery, screening of remaining breast tissue for cancer is still performed and is just as essential to patient care as presurgery screening. The first line of defense for any patient with a surgically altered breast is mammography.

When a patient has had breast reconstruction following mastectomy, it is presumed that very little breast tissue remains. There is no standard of care for screening the nonbreast tissue introduced by the reconstructive procedure. Nonetheless, at our institution we perform a single mediolateral oblique projec­tion on any flap-reconstructed breast in light of rare anecdotal accounts of cancer found in and around the reconstructed breast. When problem-solving is needed to evaluate a new palpable abnormality, special angled views (tangential) and directed ultrasonography can be used. We do not routinely perform screening mammography on mastectomy patients who have had reconstruction with implants, but we can investigate areas of clinical concern (eg, due to palpable masses) with directed ultrasonography.21

The cosmetically altered breast presents its own issues in cancer detection. Both silicone-gel and saline implants obscure breast tissue that could contain cancer. For this reason, special implant-displaced views are performed that allow visualization of a larger portion of breast tissue beyond that allowed by standard mammograms. Therefore, an asymptomatic patient with implants who presents for screening mammography will have eight mammography views obtained instead of the routine four views.22

Patients who have had breast reduction, excisional biopsy, or prior breast conservation surgery (lumpectomy and radiation) are screened in a routine manner with mammography.23 Patients who have had prior surgical procedures often have architectural distortion at the surgical site, which is generally stable over time. Any prior surgical procedure can predispose the patient to the development of fat necrosis, which is a benign entity but can mimic cancer in its early phases through the development of calcifications and, occasionally, a new palpable lump. We most commonly confront this issue in the period 2 to 4 years after the operation.24 Occasionally the findings are such that a biopsy is needed to determine whether fat necrosis is the cause. In this population, magnetic resonance imaging (MRI) can also be used as an adjunctive tool, and can sometimes clarify the presence of fat necrosis and other postoperative findings, such as seroma, hematoma, or inflammation. In other instances, only a biopsy can determine what a particular finding represents.

 

 

DIAGNOSTIC MAMMOGRAPHY

Any mammography performed for a problem-solving purpose is considered diagnostic mammography (Table 2); the exam is tailored to the patient’s individual issue.25 Diagnostic mammography requires the presence of a qualified radiologist at the time of imaging. The goal is to come to a final conclusion about the mammographic or clinical finding at the time of the patient’s visit. Special views are usually performed that include, but are not limited to, spot-compression or spot-magnification views, depending on the finding.26 The patient is then given a same-day written account of the results at the conclusion of the study.

Examples of problems that may prompt diagnostic mammography include patient-reported palpable findings, screening mammography findings that are recalled for further investigation, or physician-detected findings. Often, ultrasonography is also used at the same visit and its results are integrated with the mammography findings to arrive at the final impression.

BREAST ULTRASONOGRAPHY AND BREAST MRI

Ultrasonography and MRI are two very useful adjunctive tools for breast lesion detection and analysis. At this time, however, neither is a replacement for screening mammography as a primary screening modality; rather, each is used in a complementary fashion for lesion analysis and biopsy guidance.10,27

Ultrasonography: Best for further study of areas of interest

Ultrasonography uses high-frequency sound waves to create a picture using a probe directed to an area of interest in the breast. The optimal probe for breast imaging is one typically operating in a frequency of 12 to 18 MHz and 4 cm in scanning width.

Because ultrasonography provides views of only a small area of breast tissue at a time, it is operator and patient dependent. It is best used when a known area of interest needs further evaluation, such as when a patient reports a palpable abnormality or when a mass is detected on mammography.

Ultrasonography uses no ionizing radiation, so it is especially helpful in young or pregnant women who present with a palpable abnormality. It is also useful for patients who have recently undergone a surgical procedure. As ultrasonography is currently used, no compression is needed and it can be performed easily in patients with limited mobility. Needle biopsies are most easily performed using ultrasonographic guidance.

MRI: An emerging adjunct under study in high-risk patients

Breast MRI is an emerging modality under active research that shows promise for adjunctive breast imaging. It is commonly being used as a tool for local staging in women with newly diagnosed breast cancer.28,29 Current research is focused on its suitability as a screening modality, in conjunction with mammography, in high-risk populations based on family history and other factors addressed in the Gail model6 and similar risk models.

The limitations of breast MRI include its high cost, unsuitability for some patients (eg, the obese [due to table weight constraints], patients with pacemakers, patients with renal failure), the potential for unnecessary biopsies due to decreased specificity, lack of portability, and the length of time required for imaging.

Figure 2. Contrast-enhanced breast MRI in the axial projection demonstrating multiple malignant masses in the left breast.
Figure 2. Contrast-enhanced breast MRI in the axial projection demonstrating multiple malignant masses in the left breast.
Breast MRI is a four-dimensional study, with time as the fourth dimension (in addition to length, width, and depth). The patient receives an intravenous line and is given gadolinium for contrast enhancement. Imaging time depends on the protocol used and is specific to the imaging center, but it typically involves approximately 20 minutes of motionless scan time for the patient.30 Lesions are detectable by their level of vascularity, and diagnostic images are dependent on adequate contrast enhancement (Figure 2). Several software packages are commercially available that perform post-processing of breast MRI data. Although cancer on MRI has a characteristic enhancement curve, there is much overlap with benign entities; as a result, morphologic characteristics of the lesion—such as size, shape, and borders—are paramount.31

When a lesion is initially detected with MRI, an attempt is usually made to identify it with ultrasonography as well, owing to the ease of ultrasonography-guided biopsy.32 It is important, however, for an imaging center that performs breast MRI to be able to perform biopsies using MRI guidance since not all lesions are identifiable by other modalities.33 Breast MRI studies are not easily portable between imaging facilities since a typical study contains a thousand or more images that are best viewed on a site-specific workstation monitor.

HISTOLOGIC CONFIRMATION

Once an abnormality is detected on imaging, a confirmatory histologic diagnosis is needed before embarking on medical or surgical treatments. Image-guided biopsy plays a critical role in this regard. In our breast imaging section, we perform ultrasonography-guided core needle biopsy and aspiration, stereotactic needle biopsy, and MRI-guided needle biopsy, as well as wire localizations on the day of surgery. All procedures performed are considered minimally invasive and are suitable for a vast majority of patients for whom they are recommended.34

Ultrasonography-guided procedures

Figure 3. “Pre-fire” (top) and “post-fire” (bottom) ultrasonographic views of an 18-gauge percutaneous needle core biopsy of a suspicious breast mass.
Figure 3. “Pre-fire” (top) and “post-fire” (bottom) ultrasonographic views of an 18-gauge percutaneous needle core biopsy of a suspicious breast mass.
Ultrasonography-guided core needle biopsy is the modality of choice for most patients when a suspicious abnormality is visible on ultrasonography.35 Generally, the patient is placed in an angled supine position, with her arm elevated for optimal lesion accessibility. Following administration of a local anesthetic, a small nick is made in the skin and a specialized 14- or 18­gauge spring-loaded core biopsy needle is inserted during real-time imaging with the ultrasonographic probe (Figure 3). Several samples are obtained, and the pathologic diagnosis is generally available within a few working days. Breast core biopsy needles are also commercially available as handheld vacuum-assisted devices, which can sample larger amounts of tissue in a short time but are more expensive and often accompanied by a noisy vacuum device.

Ultrasonography-guided fine-needle aspiration is an additional option for patients when core biopsy cannot be performed because the lesion is located adjacent to sensitive structures, such as implants or the pectoralis muscle. Fine-needle aspiration is also used to evaluate complicated breast cysts and, occasionally, lymph nodes. Drawbacks of fine-needle aspiration (relative to larger core needle biopsy) are that it is limited to cytologic, not histologic, examination and that it yields a higher false-negative rate.

Stereotactically guided procedures

Stereotactic core biopsy is performed when lesions—usually calcifications, but sometimes masses—are visible only on mammography.36,37 “Stereotactic” refers to the means by which the target is localized, ie, with a “stereo pair” of digital mammogram pictures with a small field of view. The patient is placed in a prone position with the breast of interest placed through a hole at the undersurface of the table in a light compression. The biopsy unit is attached to a dedicated computer that calculates coordinates. The needle is then brought to the coordinate position for sampling to take place.

The biopsy needle used for this procedure is vacuum-assisted, which means the needle is placed only one time, and samples in the vicinity of the target are vacuumed into a reservoir for retrieval. If the target is calcifications, a specimen radiograph is routinely performed to verify adequate sample acquisition before the patient leaves the biopsy table.38 When the original target is no longer visible, a titanium marker clip is often placed. This facilitates localization of the biopsied area should surgery be needed.

Stereotactic biopsy has several limitations that ultrasonography-guided biopsy does not. The patient must be cooperative and mobile enough to get on the table and hold a prone position for the duration of the procedure (about 45 minutes). If the patient is taking warfarin or has a bleeding diathesis, preprocedure steps such as clinical evaluation to check the international normalized ratio and prothrombin time, or even stopping the warfarin temporarily, may be needed to minimize bleeding during the procedure, as a 9- or 12-gauge needle is used. Stereotactic biopsy is also limited by lesion position. A far posterior lesion may not be accessible if it does not reach through the hole in the table. Also, there is a limit to the compressed thinness of breast tissue that can be biopsied. Finally, most tables used for stereotactic biopsy have a functioning weight limit of 300 pounds.

Open surgical biopsy

A final option is open surgical biopsy, which is used when the more minimally invasive techniques are equivocal, discordant, or impossible due to the limitations noted above, or when atypical cells are found.

HOW SHOULD WE SCREEN OUR PATIENTS?

The various screening options for breast cancer are listed in Table 4, along with their market approval status and Medicare reimbursement levels.

For women at average risk for breast cancer, the American Cancer Society recommends an annual mammogram and clinical breast examination by a physician beginning at age 40 (Table 1).10

Table 5. Recommendations for breast MRI screening as an adjunct to mammography
For women at high risk for developing breast cancer (> 20% to 25% lifetime risk, based on the Gail model6 or similar risk models), breast MRI should be considered as an adjunct to annual screening mammography (Table 5).39 Evidence is currently insufficient, however, to support the adjunctive use of breast MRI for women with other risk factors (Table 5), although studies are ongoing.39

In conclusion, the process of finding breast cancer includes regular screening with mammography and clinical breast examination (plus MRI in high-risk women) and the diagnostic modalities of ultrasonography, MRI, and diagnostic mammography. Our ultimate goal is to find cancer at the earliest time possible by all means necessary for the individual patient.

Early detection of breast cancer is vital to reducing the morbidity and mortality associated with this disease. After a brief overview of breast cancer epidemiology and risk assessment, this article describes screening and diagnostic imaging techniques as they are currently practiced to promote early breast cancer detection. We conclude with a review of image-guided needle biopsy techniques and a recommended approach to breast cancer screening in the general population.

EPIDEMIOLOGY OF BREAST CANCER: DAUNTING BUT SLOWLY IMPROVING

After nonmelanoma skin cancers, breast cancer is the most common form of cancer in women today, accounting for more than 1 in 4 cancers diagnosed in US women.1 If the current incidence of breast cancer remains constant, US females born today have an average risk of 12.7% of being diagnosed with breast cancer during their lifetime (ie, 1-in-8 lifetime risk), based on National Cancer Institute statistics.2,3 The American Cancer Society estimated that 178,480 new cases of invasive breast cancer and 62,030 new cases of in situ breast cancer would be diagnosed in the United States in 2007, and that 40,460 US women would die from breast cancer that year.1 Only lung cancer accounts for more cancer deaths in women.

The role of race and ethnicity

Breast cancer risk varies by race and ethnicity in the United States. After age 40 years, white women have a higher incidence of breast cancer compared with African American women; conversely, before age 40, African American women have a higher incidence compared with white women. African American women are more likely than their white counterparts to die from their breast cancer at any age. Incidence and death rates from breast cancer are lower among Asian American, American Indian, and Hispanic women compared with both white and African American women.1

Recent hopeful trends

Despite the daunting incidence numbers reviewed above, recent years have seen encouraging trends in US breast cancer epidemiology.

For invasive breast cancer, the growth in incidence rates slowed during the 1990s, and rates actually declined by 3.5% per year during the period 2001–2004.1 These changes are likely attributable to multiple factors, including variations in rates of mammography screening and decreased use of hormone replacement therapy after the 2002 publication of results from the Women’s Health Initiative trial. Still, the trend is encouraging.

Incidence rates of in situ breast cancer rose rapidly during the 1980s and 1990s, largely due to increased diagnosis by mammography, but have plateaued since 2000 among women aged 50 years or older while continuing to rise modestly in younger women.1

Meanwhile, the overall death rate from breast cancer in women declined by 2.2% annually from 1990 to 2004.1

RISK FACTORS AND RISK MODELING

Risk factors for breast cancer have been well described and include the following:

  • Age ( 65 years vs < 65 years, although risk increases across all ages up to 80 years)
  • Family history of breast cancer
  • Late age at first full-term pregnancy (> 30 years)
  • Never having a full-term pregnancy
  • Early menarche and/or late menopause
  • Certain genetic mutations for breast cancer (eg, in the BRCA1, BRCA2, ATM, and CHEK2 genes)
  • Certain breast disorders, such as atypical hyper­plasia or lobular carcinoma in situ
  • High breast tissue density
  • High bone density (postmenopausal)
  • High-dose radiation to the chest.

The above risk factors are, in general, fixed. More elusive risk factors, in that they are variable and modifiable, include obesity, use of exogenous hormones (recent and long-term hormone replacement therapy; recent oral contraceptive use), alcohol use, tobacco use, diet, and a low level of physical activity. Breast implants are not a risk factor for breast cancer, though their presence does obscure breast tissue on imaging, limiting the detectability of a tumor when it does develop (see “Screening the Surgically Altered Breast” below).

Women with a genetic predisposition to breast can­cer merit special consideration. Hereditary breast cancers account for about 5% to 10% of breast cancer cases, and the BRCA1 and BRCA2 mutations are responsible for 80% to 90% of these cases, while other gene mutations (noted above) or genetic syndromes account for the rest. Clinical options for managing women with a genetic predisposition include surveillance, chemoprevention, and prophylactic surgery.4 Detailed discussion of the management of these women is beyond the scope of this article, but readers are referred to www.nccn.org/professionals/physician_gls/PDF/ genetics_screening.pdf for practice guidelines from the National Comprehensive Cancer Network.5

Tools for risk assessment

Several tools are available to predict a woman’s risk of developing breast cancer. Probably the most widely used is the Gail model,6 which was published in 1989 and forms the statistical basis for the National Cancer Institute’s Breast Cancer Risk Assessment Tool, which is available for downloading at www.cancer.gov/bcrisktool.7 The model uses a woman’s personal medical and reproductive histories and her family history of breast cancer to predict her 5-year and lifetime risk of developing invasive breast cancer. Factors included in the risk calculation are age, race, number of first-degree relatives with a history of breast cancer, age at first live birth (or nulliparity), age at menarche, number of breast biopsies, and presence or absence of a history of atypical hyperplasia. The relative risk for each of these factors is multiplied to generate a composite risk. The Gail model has been validated for white women but has been shown to underestimate breast cancer risk in African American women; it remains to be validated for Hispanic women, Asian women, and other subgroups of women.7

The commonly taught “triple test” for palpable breast lesions is another risk model that incorporates clinical findings. It consists of a physical examination, mammography, and fine-needle aspiration8 (in the “modified triple test,” ultrasonography replaces mammography9). When all three elements of the test are concordant (either all benign or all malignant), the triple test has been reported to have 100% diagnostic accuracy.8,9

 

 

A WORD ABOUT BREAST EXAMINATION

Breast self-examination

American Cancer Society guidelines for early breast cancer detection, 2003
The role of breast self-examination is controversial in the literature. There are currently no data to support the contention that it increases detection of breast cancer. As a result, the American Cancer Society no longer recommends that all women perform monthly breast self-exams, although it advises that all women be told about the potential benefits and limitations of breast self-examination (Table 1).10 Research suggests that structured breast self-examination is less important than self-awareness. Women who detect breast tumors themselves typically find them outside of a structured examination, such as when bathing or getting dressed.1

Clinical breast examination

As noted in Table 1, regular clinical breast examinations are recommended by the American Cancer Society for asymptomatic women at average risk for breast cancer, with the recommended frequency depending on the woman’s age.10 The US Preventive Services Task Force takes the stance that there is insufficient evidence to recommend for or against breast cancer screening with clinical breast examination alone.11 While it is unclear precisely what contribution clinical breast exams make to the detection of breast cancer, they certainly provide clinicians an opportunity to raise awareness about breast cancer and educate patients about breast symptoms, risk factors, and new detection technologies.10

SCREENING MAMMOGRAPHY

Screening mammography is the single most effective method of early breast cancer detection,1 and the American Cancer Society recommends that women at average risk for breast cancer have annual screening mammograms beginning at age 40 years (Table 1).10

The evidence base

The primary evidence supporting the recommendation for screening mammography comes from eight randomized trials that studied the effectiveness of screening mammography for cancer detection in Sweden,12,13 the United States,14 Canada,15,16 and the United Kingdom.17 Overall, breast cancers detected by screening mammography are smaller and have a more favorable history and tumor biology than those detected clinically without the use of imaging. A pooled analysis of the most recent data from all randomized trials of screening mammography in women aged 39 to 74 years showed a 24% reduction in mortality (95% CI, 18% to 30%) in women undergoing screening mammography, although not all individual trials showed a statistically significant mortality reduction.10

The screening procedure at a glance

Table 2. Screening versus diagnostic mammography
A screening mammogram, as distinguished from a diagnostic mammogram (Table 2), consists of two standard radiographic views of each breast (mediolateral oblique and craniocaudal).18 The woman being screened is advised to wear no powders or deodorants and should be asymptomatic. Women with symptoms (eg, breast lump, focal tenderness, nipple discharge) should be scheduled for a diagnostic mammogram (Table 2), not a screening mammogram.

Table 3. BI-RADS categories for mammography reporting
The mammography technologist obtains the standard radiographs of each breast, and computer-assisted detection software can be applied to the mammogram films to aid in the identification of abnormalities as a computer-generated second opinion. Although computer-assisted detection is not currently standard of care, it is available at most institutions. The films are read later by a radiologist who will interpret them according to the American College of Radiology’s standard system of describing mammogram findings, called the Breast Imaging Reporting and Data System (BI-RADS). In this system, results are assigned a category rating on a scale from 0 to 6 (Table 3). This standardization allows physicians to use consistent language, ensures better follow-up of suspicious findings, and reduces interobserver variability.

Analog vs digital

Figure 1. Normal dense digital mammogram images showing right and left mediolateral oblique views and right and left craniocaudal views.
Figure 1. Normal dense digital mammogram images showing right and left mediolateral oblique views (panels A and B, respectively) and right and left craniocaudal views (panels C and D, respectively).
Breast radiographs can be obtained by the traditional film-screen (analog) method or obtained digitally (Figure 1).

Digital mammograms are radiographs that are acquired digitally and allow digital enhancement to aid in interpretation. When receiving a digital mammogram, the woman being screened still undergoes compression and positioning as for a conventional film-screen mammogram, and the images are still produced with x-rays. However, digitization allows manipulation of the images as they are being interpreted, enabling the radiologist to focus on areas of interest or to “window” and “level” the image, similar to adjusting the tint and contrast on a television set.

Research trials comparing digital and film mammography, such as the Digital Mammographic Imaging Screening Trial (DMIST),19 have found digital mammography to be especially helpful in women with extremely dense breasts, who have an elevated risk for breast cancer. For women with fatty breasts the differences between the types of mammogram are less significant.

Table 4. Screening options for breast cancer
The type of mammogram a woman receives generally depends on the equipment available at the site she visits. Digital mammography units currently cost approximately 3 times as much as corresponding film-screen units, yet digital mammograms command reimbursement rates only about 1.6 times higher than those for film mammograms (Table 4). A hard copy of the digitized image can be printed, although the hope is that eventually fewer mammogram images will be printed and space-saving electronic storage will supplant storage of printed films.

For further detail on digital mammography, readers are referred to the recent review by D’Orsi and Newell.20

SCREENING THE SURGICALLY ALTERED BREAST

Following surgical cancer treatment or reconstructive surgery, screening of remaining breast tissue for cancer is still performed and is just as essential to patient care as presurgery screening. The first line of defense for any patient with a surgically altered breast is mammography.

When a patient has had breast reconstruction following mastectomy, it is presumed that very little breast tissue remains. There is no standard of care for screening the nonbreast tissue introduced by the reconstructive procedure. Nonetheless, at our institution we perform a single mediolateral oblique projec­tion on any flap-reconstructed breast in light of rare anecdotal accounts of cancer found in and around the reconstructed breast. When problem-solving is needed to evaluate a new palpable abnormality, special angled views (tangential) and directed ultrasonography can be used. We do not routinely perform screening mammography on mastectomy patients who have had reconstruction with implants, but we can investigate areas of clinical concern (eg, due to palpable masses) with directed ultrasonography.21

The cosmetically altered breast presents its own issues in cancer detection. Both silicone-gel and saline implants obscure breast tissue that could contain cancer. For this reason, special implant-displaced views are performed that allow visualization of a larger portion of breast tissue beyond that allowed by standard mammograms. Therefore, an asymptomatic patient with implants who presents for screening mammography will have eight mammography views obtained instead of the routine four views.22

Patients who have had breast reduction, excisional biopsy, or prior breast conservation surgery (lumpectomy and radiation) are screened in a routine manner with mammography.23 Patients who have had prior surgical procedures often have architectural distortion at the surgical site, which is generally stable over time. Any prior surgical procedure can predispose the patient to the development of fat necrosis, which is a benign entity but can mimic cancer in its early phases through the development of calcifications and, occasionally, a new palpable lump. We most commonly confront this issue in the period 2 to 4 years after the operation.24 Occasionally the findings are such that a biopsy is needed to determine whether fat necrosis is the cause. In this population, magnetic resonance imaging (MRI) can also be used as an adjunctive tool, and can sometimes clarify the presence of fat necrosis and other postoperative findings, such as seroma, hematoma, or inflammation. In other instances, only a biopsy can determine what a particular finding represents.

 

 

DIAGNOSTIC MAMMOGRAPHY

Any mammography performed for a problem-solving purpose is considered diagnostic mammography (Table 2); the exam is tailored to the patient’s individual issue.25 Diagnostic mammography requires the presence of a qualified radiologist at the time of imaging. The goal is to come to a final conclusion about the mammographic or clinical finding at the time of the patient’s visit. Special views are usually performed that include, but are not limited to, spot-compression or spot-magnification views, depending on the finding.26 The patient is then given a same-day written account of the results at the conclusion of the study.

Examples of problems that may prompt diagnostic mammography include patient-reported palpable findings, screening mammography findings that are recalled for further investigation, or physician-detected findings. Often, ultrasonography is also used at the same visit and its results are integrated with the mammography findings to arrive at the final impression.

BREAST ULTRASONOGRAPHY AND BREAST MRI

Ultrasonography and MRI are two very useful adjunctive tools for breast lesion detection and analysis. At this time, however, neither is a replacement for screening mammography as a primary screening modality; rather, each is used in a complementary fashion for lesion analysis and biopsy guidance.10,27

Ultrasonography: Best for further study of areas of interest

Ultrasonography uses high-frequency sound waves to create a picture using a probe directed to an area of interest in the breast. The optimal probe for breast imaging is one typically operating in a frequency of 12 to 18 MHz and 4 cm in scanning width.

Because ultrasonography provides views of only a small area of breast tissue at a time, it is operator and patient dependent. It is best used when a known area of interest needs further evaluation, such as when a patient reports a palpable abnormality or when a mass is detected on mammography.

Ultrasonography uses no ionizing radiation, so it is especially helpful in young or pregnant women who present with a palpable abnormality. It is also useful for patients who have recently undergone a surgical procedure. As ultrasonography is currently used, no compression is needed and it can be performed easily in patients with limited mobility. Needle biopsies are most easily performed using ultrasonographic guidance.

MRI: An emerging adjunct under study in high-risk patients

Breast MRI is an emerging modality under active research that shows promise for adjunctive breast imaging. It is commonly being used as a tool for local staging in women with newly diagnosed breast cancer.28,29 Current research is focused on its suitability as a screening modality, in conjunction with mammography, in high-risk populations based on family history and other factors addressed in the Gail model6 and similar risk models.

The limitations of breast MRI include its high cost, unsuitability for some patients (eg, the obese [due to table weight constraints], patients with pacemakers, patients with renal failure), the potential for unnecessary biopsies due to decreased specificity, lack of portability, and the length of time required for imaging.

Figure 2. Contrast-enhanced breast MRI in the axial projection demonstrating multiple malignant masses in the left breast.
Figure 2. Contrast-enhanced breast MRI in the axial projection demonstrating multiple malignant masses in the left breast.
Breast MRI is a four-dimensional study, with time as the fourth dimension (in addition to length, width, and depth). The patient receives an intravenous line and is given gadolinium for contrast enhancement. Imaging time depends on the protocol used and is specific to the imaging center, but it typically involves approximately 20 minutes of motionless scan time for the patient.30 Lesions are detectable by their level of vascularity, and diagnostic images are dependent on adequate contrast enhancement (Figure 2). Several software packages are commercially available that perform post-processing of breast MRI data. Although cancer on MRI has a characteristic enhancement curve, there is much overlap with benign entities; as a result, morphologic characteristics of the lesion—such as size, shape, and borders—are paramount.31

When a lesion is initially detected with MRI, an attempt is usually made to identify it with ultrasonography as well, owing to the ease of ultrasonography-guided biopsy.32 It is important, however, for an imaging center that performs breast MRI to be able to perform biopsies using MRI guidance since not all lesions are identifiable by other modalities.33 Breast MRI studies are not easily portable between imaging facilities since a typical study contains a thousand or more images that are best viewed on a site-specific workstation monitor.

HISTOLOGIC CONFIRMATION

Once an abnormality is detected on imaging, a confirmatory histologic diagnosis is needed before embarking on medical or surgical treatments. Image-guided biopsy plays a critical role in this regard. In our breast imaging section, we perform ultrasonography-guided core needle biopsy and aspiration, stereotactic needle biopsy, and MRI-guided needle biopsy, as well as wire localizations on the day of surgery. All procedures performed are considered minimally invasive and are suitable for a vast majority of patients for whom they are recommended.34

Ultrasonography-guided procedures

Figure 3. “Pre-fire” (top) and “post-fire” (bottom) ultrasonographic views of an 18-gauge percutaneous needle core biopsy of a suspicious breast mass.
Figure 3. “Pre-fire” (top) and “post-fire” (bottom) ultrasonographic views of an 18-gauge percutaneous needle core biopsy of a suspicious breast mass.
Ultrasonography-guided core needle biopsy is the modality of choice for most patients when a suspicious abnormality is visible on ultrasonography.35 Generally, the patient is placed in an angled supine position, with her arm elevated for optimal lesion accessibility. Following administration of a local anesthetic, a small nick is made in the skin and a specialized 14- or 18­gauge spring-loaded core biopsy needle is inserted during real-time imaging with the ultrasonographic probe (Figure 3). Several samples are obtained, and the pathologic diagnosis is generally available within a few working days. Breast core biopsy needles are also commercially available as handheld vacuum-assisted devices, which can sample larger amounts of tissue in a short time but are more expensive and often accompanied by a noisy vacuum device.

Ultrasonography-guided fine-needle aspiration is an additional option for patients when core biopsy cannot be performed because the lesion is located adjacent to sensitive structures, such as implants or the pectoralis muscle. Fine-needle aspiration is also used to evaluate complicated breast cysts and, occasionally, lymph nodes. Drawbacks of fine-needle aspiration (relative to larger core needle biopsy) are that it is limited to cytologic, not histologic, examination and that it yields a higher false-negative rate.

Stereotactically guided procedures

Stereotactic core biopsy is performed when lesions—usually calcifications, but sometimes masses—are visible only on mammography.36,37 “Stereotactic” refers to the means by which the target is localized, ie, with a “stereo pair” of digital mammogram pictures with a small field of view. The patient is placed in a prone position with the breast of interest placed through a hole at the undersurface of the table in a light compression. The biopsy unit is attached to a dedicated computer that calculates coordinates. The needle is then brought to the coordinate position for sampling to take place.

The biopsy needle used for this procedure is vacuum-assisted, which means the needle is placed only one time, and samples in the vicinity of the target are vacuumed into a reservoir for retrieval. If the target is calcifications, a specimen radiograph is routinely performed to verify adequate sample acquisition before the patient leaves the biopsy table.38 When the original target is no longer visible, a titanium marker clip is often placed. This facilitates localization of the biopsied area should surgery be needed.

Stereotactic biopsy has several limitations that ultrasonography-guided biopsy does not. The patient must be cooperative and mobile enough to get on the table and hold a prone position for the duration of the procedure (about 45 minutes). If the patient is taking warfarin or has a bleeding diathesis, preprocedure steps such as clinical evaluation to check the international normalized ratio and prothrombin time, or even stopping the warfarin temporarily, may be needed to minimize bleeding during the procedure, as a 9- or 12-gauge needle is used. Stereotactic biopsy is also limited by lesion position. A far posterior lesion may not be accessible if it does not reach through the hole in the table. Also, there is a limit to the compressed thinness of breast tissue that can be biopsied. Finally, most tables used for stereotactic biopsy have a functioning weight limit of 300 pounds.

Open surgical biopsy

A final option is open surgical biopsy, which is used when the more minimally invasive techniques are equivocal, discordant, or impossible due to the limitations noted above, or when atypical cells are found.

HOW SHOULD WE SCREEN OUR PATIENTS?

The various screening options for breast cancer are listed in Table 4, along with their market approval status and Medicare reimbursement levels.

For women at average risk for breast cancer, the American Cancer Society recommends an annual mammogram and clinical breast examination by a physician beginning at age 40 (Table 1).10

Table 5. Recommendations for breast MRI screening as an adjunct to mammography
For women at high risk for developing breast cancer (> 20% to 25% lifetime risk, based on the Gail model6 or similar risk models), breast MRI should be considered as an adjunct to annual screening mammography (Table 5).39 Evidence is currently insufficient, however, to support the adjunctive use of breast MRI for women with other risk factors (Table 5), although studies are ongoing.39

In conclusion, the process of finding breast cancer includes regular screening with mammography and clinical breast examination (plus MRI in high-risk women) and the diagnostic modalities of ultrasonography, MRI, and diagnostic mammography. Our ultimate goal is to find cancer at the earliest time possible by all means necessary for the individual patient.

References
  1. American Cancer Society. Breast Cancer Facts & Figures 2007-2008. Atlanta, GA: American Cancer Society, Inc. http://www.cancer.org/ downloads/STT/BCFF-Final.pdf. Accessed January 14, 2008.
  2. Ries LAG, Harkins D, Krapcho M, et al. SEER Cancer Statistics Review, 1975–2003. Bethesda, MD: National Cancer Institute; 2006.
  3. National Cancer Institute fact sheet: probability of breast cancer in American women. National Cancer Institute Web site. http://www.cancer.gov/cancertopics/factsheet/Detection/probability-breast-cancer. Accessed January 18, 2008.
  4. Thull DL, Vogel VG. Recognition and management of hereditary breast cancer syndromes. Oncologist 2004; 9:13–24.
  5. National Comprehensive Cancer Network. NCCN Clinical practice guidelines in oncology: genetic/familial high-risk assessment: breast and ovarian. Available at: http://www.nccn.org/professionals/physician_gls/PDF/genetics_screening.pdf. Accessed January 28, 2008.
  6. Gail MH, Brinton LA, Byar DP, et al. Projecting individualized probabilities of developing breast cancer for white females who are being examined annually. J Natl Cancer Inst 1989; 81:1879–1886.
  7. Breast cancer risk assessment tool. An interactive tool for measuring the risk of invasive breast cancer. National Cancer Institute Web site. http://www.cancer.gov/bcrisktool/. Accessed January 21, 2008.
  8. Vetto J, Pommier R, Schmidt W, et al. Use of the “triple test” for palpable breast lesions yields high diagnostic accuracy and cost savings. Am J Surg 1995; 169:519–522.
  9. Vetto JT, Pommier RF, Schmidt WA, Eppich H, Alexander PW. Diagnosis of palpable breast lesions in younger women by the modified triple test is accurate and cost-effective. Arch Surg 1996; 131:967–974.
  10. Smith RA, Saslow D, Sawyer KA, et al. American Cancer Society guidelines for breast cancer screening: update 2003. CA Cancer J Clin 2003; 53:141–169.
  11. U.S. Preventive Services Task Force. Screening for breast cancer: recommendations and rationale. Ann Intern Med 2002; 137:344–346.
  12. Nyström L, Andersson I, Bjurstam N, et al. Long-term effects of mammography screening: updated overview of the Swedish randomized trials. Lancet 2002; 359:909–919.
  13. Tabar L, Fagerberg G, Chen HH, et al. Efficacy of breast cancer screening by age: new results from the Swedish Two-County Trial. Cancer 1995; 75:2507–2517.
  14. Shapiro S, Venet W, Strax P, Venet L. Periodic Screening for Breast Cancer: The Health Insurance Plan Project and Its Sequelae, 1963-1986. Baltimore, MD: Johns Hopkins University Press; 1988.
  15. Miller AB, To T, Baines CJ, Wall C. Canadian National Breast Screening Study-2: 13-year results of a randomized trial in women aged 50-59 years. J Natl Cancer Inst 2000; 92:1490–1499.
  16. Miller AB, To T, Baines CJ, Wall C. The Canadian National Breast Screening Study-1: breast cancer mortality after 11 to 16 years of follow-up: a randomized screening trial of mammography in women age 40 to 49 years. Ann Intern Med 2002; 137:305–312.
  17. Alexander FE, Anderson TJ, Brown HK, et al. 14 years of follow-up from the Edinburgh randomized trial of breast-cancer screening. Lancet 1999; 353:1903–1908.
  18. Eklund GW, Cardenosa G. The art of mammographic positioning. Radiol Clin North Am 1992; 30:21–53.
  19. Pisano E, Gatsonis C, Hendrick E, et al. Diagnostic performance of digital versus film mammography for breast cancer screening. N Engl J Med 2005; 353:1773–1783.
  20. D’Orsi CJ, Newell MS. Digital mammography: clinical implementation and clinical trials. Semin Roentgenol 2007; 42:236–242.
  21. Fajardo LL, Roberts CC, Hunt KR. Mammographic surveillance of breast cancer patients: should the masectomy site be imaged? AJR Am J Roentgenol 1993; 161:953–955.
  22. Eklund GW, Busby RC, Miller SH, Job JS. Improved imaging of the augmented breast. AJR Am J Roentgenol 1988; 151:469–473.
  23. Mendelson EB. Evaluation of the postoperative breast. Radiol Clin North Am 1992; 30:107–138.
  24. Philpotts LE, Lee CH, Haffty BG, et al. Mammographic findings of recurrent breast cancer after l
  25. ACR practice guideline for the performance of diagnostic mammography. American College of Radiology Web site. http:// www.acr.org/SecondaryMainMenuCategories/quality_safety/guidelines/breast/diagnostic_mammography.aspx. Accessed January 14, 2008.
  26. Sickles EA. Practical solutions to common mammographic problems: tailoring the examination. AJR Am J Roentgenol 1988; 151:31–39.
  27. Jackson VP. The role of US in breast imaging. Radiology 1990; 177:305–311.
  28. Lehman CD, Gatsonis C, Kuhl CK, et al. MRI evaluation of the contralateral breast in women with recently diagnosed breast cancer. N Engl J Med 2007; 356:1295–1303.
  29. Liberman L. Breast MR imaging in assessing extent of disease. Magn Reson Imaging Clin N Am 2006; 14:339–349.
  30. Kuhl C. The current status of breast MR imaging. Part I. Choice of technique, image interpretation, diagnostic accuracy, and transfer to clinical practice. Radiology 2007; 244:356–378.
  31. Flickinger FW, Allison JD, Sherry RM, Wright JC. Differentiation of benign from malignant breast masses by time-intensity evaluation of contrast-enhanced MRI. Magn Reson Imaging 1993; 11:617–620.
  32. Chellman-Jeffers MR, Listinsky J, Dinunzio A, Lieber M, Rim A. Utility of second look ultrasound as an adjunct to contrast-enhanced MRI of the breast. Paper presented at: American Roentgen Ray Society Meeting; May 4, 2006; Vancouver, BC. Abstract 269.
  33. Orel SG, Schnall MD, Newman RW, Powell CM, Torosian MH, Rosato EF. MR imaging-guided localization and biopsy of breast lesions: initial experience. Radiology 1994; 193:97–102.
  34. Liberman L. Percutaneous imaging-guided core breast biopsy: state of the art at the millennium. AJR Am J Roentgenol 2000; 174:1191–1199.
  35. Fornage BD, Coan JD, David CL. Ultrasound-guided needle biopsy of the breast and other interventional procedures. Radiol Clin North Am 1992; 30:167–185.
  36. Parker SH, Lovin JD, Jobe WE, et al. Nonpalpable breast lesions: stereotactic automated large-core biopsies. Radiology 1991; 180:403–407.
  37. Parker SH, Burbank F, Jackman RJ, et al. Percutaneous large-core breast biopsy: a multi-institutional study. Radiology 1994; 193:3 59–364.
  38. Liberman L, Evans WP III, Dershaw DD, et al. Radiography of microcalcifications in stereotaxic mammary core biopsy specimens. Radiology 1994; 190:223–225.
  39. Saslow D, Boetes C, Burke W, et al. American Cancer Society guidelines for breast screening with MRI as an adjunct to mammography. CA Cancer J Clin 2007; 57:75–89.
References
  1. American Cancer Society. Breast Cancer Facts & Figures 2007-2008. Atlanta, GA: American Cancer Society, Inc. http://www.cancer.org/ downloads/STT/BCFF-Final.pdf. Accessed January 14, 2008.
  2. Ries LAG, Harkins D, Krapcho M, et al. SEER Cancer Statistics Review, 1975–2003. Bethesda, MD: National Cancer Institute; 2006.
  3. National Cancer Institute fact sheet: probability of breast cancer in American women. National Cancer Institute Web site. http://www.cancer.gov/cancertopics/factsheet/Detection/probability-breast-cancer. Accessed January 18, 2008.
  4. Thull DL, Vogel VG. Recognition and management of hereditary breast cancer syndromes. Oncologist 2004; 9:13–24.
  5. National Comprehensive Cancer Network. NCCN Clinical practice guidelines in oncology: genetic/familial high-risk assessment: breast and ovarian. Available at: http://www.nccn.org/professionals/physician_gls/PDF/genetics_screening.pdf. Accessed January 28, 2008.
  6. Gail MH, Brinton LA, Byar DP, et al. Projecting individualized probabilities of developing breast cancer for white females who are being examined annually. J Natl Cancer Inst 1989; 81:1879–1886.
  7. Breast cancer risk assessment tool. An interactive tool for measuring the risk of invasive breast cancer. National Cancer Institute Web site. http://www.cancer.gov/bcrisktool/. Accessed January 21, 2008.
  8. Vetto J, Pommier R, Schmidt W, et al. Use of the “triple test” for palpable breast lesions yields high diagnostic accuracy and cost savings. Am J Surg 1995; 169:519–522.
  9. Vetto JT, Pommier RF, Schmidt WA, Eppich H, Alexander PW. Diagnosis of palpable breast lesions in younger women by the modified triple test is accurate and cost-effective. Arch Surg 1996; 131:967–974.
  10. Smith RA, Saslow D, Sawyer KA, et al. American Cancer Society guidelines for breast cancer screening: update 2003. CA Cancer J Clin 2003; 53:141–169.
  11. U.S. Preventive Services Task Force. Screening for breast cancer: recommendations and rationale. Ann Intern Med 2002; 137:344–346.
  12. Nyström L, Andersson I, Bjurstam N, et al. Long-term effects of mammography screening: updated overview of the Swedish randomized trials. Lancet 2002; 359:909–919.
  13. Tabar L, Fagerberg G, Chen HH, et al. Efficacy of breast cancer screening by age: new results from the Swedish Two-County Trial. Cancer 1995; 75:2507–2517.
  14. Shapiro S, Venet W, Strax P, Venet L. Periodic Screening for Breast Cancer: The Health Insurance Plan Project and Its Sequelae, 1963-1986. Baltimore, MD: Johns Hopkins University Press; 1988.
  15. Miller AB, To T, Baines CJ, Wall C. Canadian National Breast Screening Study-2: 13-year results of a randomized trial in women aged 50-59 years. J Natl Cancer Inst 2000; 92:1490–1499.
  16. Miller AB, To T, Baines CJ, Wall C. The Canadian National Breast Screening Study-1: breast cancer mortality after 11 to 16 years of follow-up: a randomized screening trial of mammography in women age 40 to 49 years. Ann Intern Med 2002; 137:305–312.
  17. Alexander FE, Anderson TJ, Brown HK, et al. 14 years of follow-up from the Edinburgh randomized trial of breast-cancer screening. Lancet 1999; 353:1903–1908.
  18. Eklund GW, Cardenosa G. The art of mammographic positioning. Radiol Clin North Am 1992; 30:21–53.
  19. Pisano E, Gatsonis C, Hendrick E, et al. Diagnostic performance of digital versus film mammography for breast cancer screening. N Engl J Med 2005; 353:1773–1783.
  20. D’Orsi CJ, Newell MS. Digital mammography: clinical implementation and clinical trials. Semin Roentgenol 2007; 42:236–242.
  21. Fajardo LL, Roberts CC, Hunt KR. Mammographic surveillance of breast cancer patients: should the masectomy site be imaged? AJR Am J Roentgenol 1993; 161:953–955.
  22. Eklund GW, Busby RC, Miller SH, Job JS. Improved imaging of the augmented breast. AJR Am J Roentgenol 1988; 151:469–473.
  23. Mendelson EB. Evaluation of the postoperative breast. Radiol Clin North Am 1992; 30:107–138.
  24. Philpotts LE, Lee CH, Haffty BG, et al. Mammographic findings of recurrent breast cancer after l
  25. ACR practice guideline for the performance of diagnostic mammography. American College of Radiology Web site. http:// www.acr.org/SecondaryMainMenuCategories/quality_safety/guidelines/breast/diagnostic_mammography.aspx. Accessed January 14, 2008.
  26. Sickles EA. Practical solutions to common mammographic problems: tailoring the examination. AJR Am J Roentgenol 1988; 151:31–39.
  27. Jackson VP. The role of US in breast imaging. Radiology 1990; 177:305–311.
  28. Lehman CD, Gatsonis C, Kuhl CK, et al. MRI evaluation of the contralateral breast in women with recently diagnosed breast cancer. N Engl J Med 2007; 356:1295–1303.
  29. Liberman L. Breast MR imaging in assessing extent of disease. Magn Reson Imaging Clin N Am 2006; 14:339–349.
  30. Kuhl C. The current status of breast MR imaging. Part I. Choice of technique, image interpretation, diagnostic accuracy, and transfer to clinical practice. Radiology 2007; 244:356–378.
  31. Flickinger FW, Allison JD, Sherry RM, Wright JC. Differentiation of benign from malignant breast masses by time-intensity evaluation of contrast-enhanced MRI. Magn Reson Imaging 1993; 11:617–620.
  32. Chellman-Jeffers MR, Listinsky J, Dinunzio A, Lieber M, Rim A. Utility of second look ultrasound as an adjunct to contrast-enhanced MRI of the breast. Paper presented at: American Roentgen Ray Society Meeting; May 4, 2006; Vancouver, BC. Abstract 269.
  33. Orel SG, Schnall MD, Newman RW, Powell CM, Torosian MH, Rosato EF. MR imaging-guided localization and biopsy of breast lesions: initial experience. Radiology 1994; 193:97–102.
  34. Liberman L. Percutaneous imaging-guided core breast biopsy: state of the art at the millennium. AJR Am J Roentgenol 2000; 174:1191–1199.
  35. Fornage BD, Coan JD, David CL. Ultrasound-guided needle biopsy of the breast and other interventional procedures. Radiol Clin North Am 1992; 30:167–185.
  36. Parker SH, Lovin JD, Jobe WE, et al. Nonpalpable breast lesions: stereotactic automated large-core biopsies. Radiology 1991; 180:403–407.
  37. Parker SH, Burbank F, Jackman RJ, et al. Percutaneous large-core breast biopsy: a multi-institutional study. Radiology 1994; 193:3 59–364.
  38. Liberman L, Evans WP III, Dershaw DD, et al. Radiography of microcalcifications in stereotaxic mammary core biopsy specimens. Radiology 1994; 190:223–225.
  39. Saslow D, Boetes C, Burke W, et al. American Cancer Society guidelines for breast screening with MRI as an adjunct to mammography. CA Cancer J Clin 2007; 57:75–89.
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