Internal Medicine News

PHILADELPHIA — The use of glucagon-like peptide 1 receptor agonists (GLP-1 RAs) is associated with a significant decrease in the risk for early-onset colorectal cancer (EO-CRC) in patients with type 2 diabetes (T2D), according to the results of a retrospective study.

“This is the first large study to investigate the impact of GLP-1 RA use on EO-CRC risk,” principal investigator Temitope Olasehinde, MD, resident physician at the University Hospitals Cleveland Medical Center, Case Western Reserve University in Cleveland, Ohio, said in an interview.

The results indicate the GLP-1 RAs have a potentially protective role to play in combating EO-CRC, the incidence of which is notably rising in younger adults, with a corresponding increase in associated mortality.

Previous studies investigating the link between GLP-1 RAs and CRC did not capture patients aged younger than 50 years; thus, it was unknown if these results could be extrapolated to a younger age group, said Olasehinde.

The researcher presented the findings at the annual meeting of the American College of Gastroenterology.
 

Retrospective Database Analysis

Olasehinde and colleagues analyzed data from TriNetX, a large federated deidentified health research network, to identify patients (age ≤ 49 years) with diagnosed T2D subsequently prescribed antidiabetic medications who had not received a prior diagnosis of CRC. Additionally, patients were stratified on the basis of first-time GLP-1 RA use.

They identified 2,025,034 drug-naive patients with T2D; of these, 284,685 were subsequently prescribed GLP-1 RAs, and 1,740,349 remained in the non–GLP-1 RA cohort. Following propensity score matching, there were 86,186 patients in each cohort.

Patients who received GLP-1 RAs had significantly lower odds of developing EO-CRC than those who received non–GLP-1 RAs (0.6% vs 0.9%; P < .001; odds ratio [OR], 0.61; 95% CI, 0.54-068).

Furthermore, a sub-analysis revealed that patients who were obese and taking GLP-1 RAs had significantly lower odds of developing EO-CRC than patients who were obese but not taking GLP-1 RAs (0.7% vs 1.1%; P < .001; OR, 0.58; 95% CI, 0.50-067).
 

A Proposed Protective Effect

Although GLP-1 RAs are indicated for the treatment of T2D and obesity, recent evidence suggests that they may play a role in reducing the risk for CRC as well. This protective effect may be produced not only by addressing T2D and obesity — both important risk factors for CRC — but also via cellular mechanisms, Olasehinde noted.

“GLP-1 receptors are widely expressed throughout the gastrointestinal tract, with various effects on tissues in the stomach, small intestine, and colon,” she explained. Specifically, activation of these receptors in the proximal and distal colon promotes the release of “important factors that protect and facilitate healing of the intestinal epithelium” and “regulate the gut microbiome.”

This is particularly relevant in EO-CRC, she added, given its greater association with T2D and obesity, both factors that “have been shown to create dysbiosis in the gut microbiome and low-grade inflammation via release of free radicals/inflammatory cytokines.”

These results provide more evidence that EO-CRC “is clinically and molecularly distinct from late-onset colorectal cancer,” which is important for both clinicians and patients to understand, said Olasehinde.

“It is imperative that we are all aware of the specific signs and symptoms this population presents with and the implications of this diagnosis in younger age groups,” she added. “Patients should continue making informed dietary and lifestyle modifications/choices to help reduce the burden of EO-CRC.”

Hypothesis-Generating Results

Aasma Shaukat, MD, MPH, who was not affiliated with the research, called the results promising but — at this stage — primarily useful for stimulating future research. 

"We do need more studies such as this to generate hypotheses that can be studied prospectively," Shaukat, professor of medicine and population health, and director of GI Outcomes Research at NYU Langone Health in New York City, told Medscape Medical News. 

She referred to another study, published in JAMA Oncology, that also used the TriNetX research network, which showed that GLP-1 RAs were associated with reduced CRC risk in drug-naive patients with T2D. 

Shaukat also noted that the current analysis has limitations that should be considered. "The study is retrospective, and confounding is a possibility,” she said. 

“How the groups that did and did not receive GLP-1 RAs differ in other risk factors that could be the drivers of the cancers is not known. Whether cancers were detected through screening or symptoms, stage, and other features that may differ are not known. Finally, since we don’t know who did or did not have colonoscopy, undiagnosed cancers are not known," she explained. 

Shaukat, who was the lead author of the ACG 2021 Colorectal Cancer Screening Guidelines, added that the field would benefit from studies providing "biological plausibility information, such as animal studies to understand how GLP-1 RAs may modulate risk of colon cancer; other population-based cohort studies on the incidence of colon cancer among GLP-1 RA users and non-users; and prospective trials on chemoprevention." 

The study had no specific funding. Olasehinde reported no relevant financial relationships. Shaukat reported serving as a consultant for Freenome, Medtronic, and Motus GI, as well as an advisory board member for Iterative Scopes Inc.

A version of this article appeared on Medscape.com.

PHILADELPHIA — The use of glucagon-like peptide 1 receptor agonists (GLP-1 RAs) is associated with a significant decrease in the risk for early-onset colorectal cancer (EO-CRC) in patients with type 2 diabetes (T2D), according to the results of a retrospective study.

“This is the first large study to investigate the impact of GLP-1 RA use on EO-CRC risk,” principal investigator Temitope Olasehinde, MD, resident physician at the University Hospitals Cleveland Medical Center, Case Western Reserve University in Cleveland, Ohio, said in an interview.

The results indicate the GLP-1 RAs have a potentially protective role to play in combating EO-CRC, the incidence of which is notably rising in younger adults, with a corresponding increase in associated mortality.

Previous studies investigating the link between GLP-1 RAs and CRC did not capture patients aged younger than 50 years; thus, it was unknown if these results could be extrapolated to a younger age group, said Olasehinde.

The researcher presented the findings at the annual meeting of the American College of Gastroenterology.
 

Retrospective Database Analysis

Olasehinde and colleagues analyzed data from TriNetX, a large federated deidentified health research network, to identify patients (age ≤ 49 years) with diagnosed T2D subsequently prescribed antidiabetic medications who had not received a prior diagnosis of CRC. Additionally, patients were stratified on the basis of first-time GLP-1 RA use.

They identified 2,025,034 drug-naive patients with T2D; of these, 284,685 were subsequently prescribed GLP-1 RAs, and 1,740,349 remained in the non–GLP-1 RA cohort. Following propensity score matching, there were 86,186 patients in each cohort.

Patients who received GLP-1 RAs had significantly lower odds of developing EO-CRC than those who received non–GLP-1 RAs (0.6% vs 0.9%; P < .001; odds ratio [OR], 0.61; 95% CI, 0.54-068).

Furthermore, a sub-analysis revealed that patients who were obese and taking GLP-1 RAs had significantly lower odds of developing EO-CRC than patients who were obese but not taking GLP-1 RAs (0.7% vs 1.1%; P < .001; OR, 0.58; 95% CI, 0.50-067).
 

A Proposed Protective Effect

Although GLP-1 RAs are indicated for the treatment of T2D and obesity, recent evidence suggests that they may play a role in reducing the risk for CRC as well. This protective effect may be produced not only by addressing T2D and obesity — both important risk factors for CRC — but also via cellular mechanisms, Olasehinde noted.

“GLP-1 receptors are widely expressed throughout the gastrointestinal tract, with various effects on tissues in the stomach, small intestine, and colon,” she explained. Specifically, activation of these receptors in the proximal and distal colon promotes the release of “important factors that protect and facilitate healing of the intestinal epithelium” and “regulate the gut microbiome.”

This is particularly relevant in EO-CRC, she added, given its greater association with T2D and obesity, both factors that “have been shown to create dysbiosis in the gut microbiome and low-grade inflammation via release of free radicals/inflammatory cytokines.”

These results provide more evidence that EO-CRC “is clinically and molecularly distinct from late-onset colorectal cancer,” which is important for both clinicians and patients to understand, said Olasehinde.

“It is imperative that we are all aware of the specific signs and symptoms this population presents with and the implications of this diagnosis in younger age groups,” she added. “Patients should continue making informed dietary and lifestyle modifications/choices to help reduce the burden of EO-CRC.”

Hypothesis-Generating Results

Aasma Shaukat, MD, MPH, who was not affiliated with the research, called the results promising but — at this stage — primarily useful for stimulating future research. 

"We do need more studies such as this to generate hypotheses that can be studied prospectively," Shaukat, professor of medicine and population health, and director of GI Outcomes Research at NYU Langone Health in New York City, told Medscape Medical News. 

She referred to another study, published in JAMA Oncology, that also used the TriNetX research network, which showed that GLP-1 RAs were associated with reduced CRC risk in drug-naive patients with T2D. 

Shaukat also noted that the current analysis has limitations that should be considered. "The study is retrospective, and confounding is a possibility,” she said. 

“How the groups that did and did not receive GLP-1 RAs differ in other risk factors that could be the drivers of the cancers is not known. Whether cancers were detected through screening or symptoms, stage, and other features that may differ are not known. Finally, since we don’t know who did or did not have colonoscopy, undiagnosed cancers are not known," she explained. 

Shaukat, who was the lead author of the ACG 2021 Colorectal Cancer Screening Guidelines, added that the field would benefit from studies providing "biological plausibility information, such as animal studies to understand how GLP-1 RAs may modulate risk of colon cancer; other population-based cohort studies on the incidence of colon cancer among GLP-1 RA users and non-users; and prospective trials on chemoprevention." 

The study had no specific funding. Olasehinde reported no relevant financial relationships. Shaukat reported serving as a consultant for Freenome, Medtronic, and Motus GI, as well as an advisory board member for Iterative Scopes Inc.

A version of this article appeared on Medscape.com.

PHILADELPHIA — The use of glucagon-like peptide 1 receptor agonists (GLP-1 RAs) is associated with a significant decrease in the risk for early-onset colorectal cancer (EO-CRC) in patients with type 2 diabetes (T2D), according to the results of a retrospective study.

“This is the first large study to investigate the impact of GLP-1 RA use on EO-CRC risk,” principal investigator Temitope Olasehinde, MD, resident physician at the University Hospitals Cleveland Medical Center, Case Western Reserve University in Cleveland, Ohio, said in an interview.

The results indicate the GLP-1 RAs have a potentially protective role to play in combating EO-CRC, the incidence of which is notably rising in younger adults, with a corresponding increase in associated mortality.

Previous studies investigating the link between GLP-1 RAs and CRC did not capture patients aged younger than 50 years; thus, it was unknown if these results could be extrapolated to a younger age group, said Olasehinde.

The researcher presented the findings at the annual meeting of the American College of Gastroenterology.
 

Retrospective Database Analysis

Olasehinde and colleagues analyzed data from TriNetX, a large federated deidentified health research network, to identify patients (age ≤ 49 years) with diagnosed T2D subsequently prescribed antidiabetic medications who had not received a prior diagnosis of CRC. Additionally, patients were stratified on the basis of first-time GLP-1 RA use.

They identified 2,025,034 drug-naive patients with T2D; of these, 284,685 were subsequently prescribed GLP-1 RAs, and 1,740,349 remained in the non–GLP-1 RA cohort. Following propensity score matching, there were 86,186 patients in each cohort.

Patients who received GLP-1 RAs had significantly lower odds of developing EO-CRC than those who received non–GLP-1 RAs (0.6% vs 0.9%; P < .001; odds ratio [OR], 0.61; 95% CI, 0.54-068).

Furthermore, a sub-analysis revealed that patients who were obese and taking GLP-1 RAs had significantly lower odds of developing EO-CRC than patients who were obese but not taking GLP-1 RAs (0.7% vs 1.1%; P < .001; OR, 0.58; 95% CI, 0.50-067).
 

A Proposed Protective Effect

Although GLP-1 RAs are indicated for the treatment of T2D and obesity, recent evidence suggests that they may play a role in reducing the risk for CRC as well. This protective effect may be produced not only by addressing T2D and obesity — both important risk factors for CRC — but also via cellular mechanisms, Olasehinde noted.

“GLP-1 receptors are widely expressed throughout the gastrointestinal tract, with various effects on tissues in the stomach, small intestine, and colon,” she explained. Specifically, activation of these receptors in the proximal and distal colon promotes the release of “important factors that protect and facilitate healing of the intestinal epithelium” and “regulate the gut microbiome.”

This is particularly relevant in EO-CRC, she added, given its greater association with T2D and obesity, both factors that “have been shown to create dysbiosis in the gut microbiome and low-grade inflammation via release of free radicals/inflammatory cytokines.”

These results provide more evidence that EO-CRC “is clinically and molecularly distinct from late-onset colorectal cancer,” which is important for both clinicians and patients to understand, said Olasehinde.

“It is imperative that we are all aware of the specific signs and symptoms this population presents with and the implications of this diagnosis in younger age groups,” she added. “Patients should continue making informed dietary and lifestyle modifications/choices to help reduce the burden of EO-CRC.”

Hypothesis-Generating Results

Aasma Shaukat, MD, MPH, who was not affiliated with the research, called the results promising but — at this stage — primarily useful for stimulating future research. 

"We do need more studies such as this to generate hypotheses that can be studied prospectively," Shaukat, professor of medicine and population health, and director of GI Outcomes Research at NYU Langone Health in New York City, told Medscape Medical News. 

She referred to another study, published in JAMA Oncology, that also used the TriNetX research network, which showed that GLP-1 RAs were associated with reduced CRC risk in drug-naive patients with T2D. 

Shaukat also noted that the current analysis has limitations that should be considered. "The study is retrospective, and confounding is a possibility,” she said. 

“How the groups that did and did not receive GLP-1 RAs differ in other risk factors that could be the drivers of the cancers is not known. Whether cancers were detected through screening or symptoms, stage, and other features that may differ are not known. Finally, since we don’t know who did or did not have colonoscopy, undiagnosed cancers are not known," she explained. 

Shaukat, who was the lead author of the ACG 2021 Colorectal Cancer Screening Guidelines, added that the field would benefit from studies providing "biological plausibility information, such as animal studies to understand how GLP-1 RAs may modulate risk of colon cancer; other population-based cohort studies on the incidence of colon cancer among GLP-1 RA users and non-users; and prospective trials on chemoprevention." 

The study had no specific funding. Olasehinde reported no relevant financial relationships. Shaukat reported serving as a consultant for Freenome, Medtronic, and Motus GI, as well as an advisory board member for Iterative Scopes Inc.

A version of this article appeared on Medscape.com.

PHILADELPHIA — Researchers have developed an artificial intelligence (AI) tool capable of detecting and differentiating cystic and solid pancreatic lesions during endoscopic ultrasound (EUS) with high accuracy.

This was a transatlantic collaborative effort involving researchers in Portugal, Spain, the United States, and Brazil, and the AI tool “works on different platforms and different devices,” Miguel Mascarenhas, MD, PhD, with Centro Hospitalar Universitário de São João, Porto, Portugal, said in a presentation at the annual meeting of the American College of Gastroenterology.

Mascarenhas noted that pancreatic cystic lesions (PCLs) are a common incidental finding during imaging and are differentiated by whether they’re mucinous PCLs (M-PCLs) or non-mucinous PCLs (NM-PCLs). The malignancy risk is almost exclusive of PCL with a mucinous phenotype.

Pancreatic solid lesions are also prevalent, and differentiation is challenging. Pancreatic ductal adenocarcinoma (P-DAC) is the most common pancreatic solid lesion and has a poor prognosis because of late-stage disease at diagnosis. Pancreatic neuroendocrine tumors (P-NETs) are less common but have malignant potential.

EUS is the “gold standard” for pancreatic lesion evaluation, but its diagnostic accuracy is suboptimal, particularly for lesions < 10 mm, Mascarenhas noted.

With an eye toward improving diagnostic accuracy, he and colleagues developed a convolutional neural network for detecting and differentiating cystic (M-PCL and NM-PCL) and solid (P-DAC and P-NET) pancreatic lesions.

They leveraged data from 378 EUS exams with 126,000 still images — 19,528 M-PCL, 8175 NM-PCL, 64,286 P-DAC, 29,153 P-NET, and 4858 normal pancreas images.

The AI tool demonstrated 99.1% accuracy for identifying normal pancreatic tissue, and it showed 99% and 99.8% accuracy for M-PCL and NM-PCL, respectively.

For pancreatic solid lesions, P-DAC and P-NET were distinguished with 94% accuracy, with 98.7% and 83.6% sensitivity for P-DAC and P-NET, respectively.
 

Real-Time Validation Next

“AI is delivering promising results throughout medicine, but particularly in gastroenterology, which is one of the most fertile areas of AI research. This comes mostly from the deployment of deep-learning models, most of them convolutional neural networks, which are highly efficient for image analysis,” Mascarenhas told attendees.

This is the “first worldwide convolutional neural network” capable of detecting and differentiating both cystic and solid pancreatic lesions. The use of a large dataset from four centers in two continents helps minimize the impact of demographic bias, Mascarenhas added.

The study is based on still images, not full videos, he noted. As a next step, the team is conducting a multicenter study focused on real-time clinical validation of the model during EUS procedures.

“AI has the potential to improve the diagnostic accuracy of endoscopic ultrasound. We’re just on the tip of the iceberg. There is enormous potential to harness AI, and we welcome all the groups that might want to join our research,” Mascarenhas said.

Brennan Spiegel, MD, MSHS, AGAF, director of Health Services Research at Cedars-Sinai Medical Center, Los Angeles, who wasn’t involved in the study, is optimistic about emerging applications for AI.

“AI holds incredible promise in gastroenterology, especially for diagnosing complex pancreatic lesions where early, accurate differentiation can be lifesaving,” Spiegel said in an interview.

“This study’s high accuracy across diverse datasets is encouraging; however, as a retrospective analysis, it leaves the real-time clinical impact still to be proven. Prospective studies will be essential to confirm AI’s role in enhancing our diagnostic capabilities,” Spiegel cautioned.

“More generally, AI is rapidly transforming gastroenterology by enhancing our ability to detect, differentiate, and monitor conditions with unprecedented precision. From improving early cancer detection to guiding complex diagnostic procedures, AI stands to become an invaluable tool that complements clinical expertise. As we refine these technologies, the potential for AI to elevate both diagnostic accuracy and patient outcomes in GI is truly remarkable,” Spiegel said.

The study had no specific funding. Mascarenhas and Spiegel have declared no conflicts of interest.

A version of this article appeared on Medscape.com.

PHILADELPHIA — Researchers have developed an artificial intelligence (AI) tool capable of detecting and differentiating cystic and solid pancreatic lesions during endoscopic ultrasound (EUS) with high accuracy.

This was a transatlantic collaborative effort involving researchers in Portugal, Spain, the United States, and Brazil, and the AI tool “works on different platforms and different devices,” Miguel Mascarenhas, MD, PhD, with Centro Hospitalar Universitário de São João, Porto, Portugal, said in a presentation at the annual meeting of the American College of Gastroenterology.

Mascarenhas noted that pancreatic cystic lesions (PCLs) are a common incidental finding during imaging and are differentiated by whether they’re mucinous PCLs (M-PCLs) or non-mucinous PCLs (NM-PCLs). The malignancy risk is almost exclusive of PCL with a mucinous phenotype.

Pancreatic solid lesions are also prevalent, and differentiation is challenging. Pancreatic ductal adenocarcinoma (P-DAC) is the most common pancreatic solid lesion and has a poor prognosis because of late-stage disease at diagnosis. Pancreatic neuroendocrine tumors (P-NETs) are less common but have malignant potential.

EUS is the “gold standard” for pancreatic lesion evaluation, but its diagnostic accuracy is suboptimal, particularly for lesions < 10 mm, Mascarenhas noted.

With an eye toward improving diagnostic accuracy, he and colleagues developed a convolutional neural network for detecting and differentiating cystic (M-PCL and NM-PCL) and solid (P-DAC and P-NET) pancreatic lesions.

They leveraged data from 378 EUS exams with 126,000 still images — 19,528 M-PCL, 8175 NM-PCL, 64,286 P-DAC, 29,153 P-NET, and 4858 normal pancreas images.

The AI tool demonstrated 99.1% accuracy for identifying normal pancreatic tissue, and it showed 99% and 99.8% accuracy for M-PCL and NM-PCL, respectively.

For pancreatic solid lesions, P-DAC and P-NET were distinguished with 94% accuracy, with 98.7% and 83.6% sensitivity for P-DAC and P-NET, respectively.
 

Real-Time Validation Next

“AI is delivering promising results throughout medicine, but particularly in gastroenterology, which is one of the most fertile areas of AI research. This comes mostly from the deployment of deep-learning models, most of them convolutional neural networks, which are highly efficient for image analysis,” Mascarenhas told attendees.

This is the “first worldwide convolutional neural network” capable of detecting and differentiating both cystic and solid pancreatic lesions. The use of a large dataset from four centers in two continents helps minimize the impact of demographic bias, Mascarenhas added.

The study is based on still images, not full videos, he noted. As a next step, the team is conducting a multicenter study focused on real-time clinical validation of the model during EUS procedures.

“AI has the potential to improve the diagnostic accuracy of endoscopic ultrasound. We’re just on the tip of the iceberg. There is enormous potential to harness AI, and we welcome all the groups that might want to join our research,” Mascarenhas said.

Brennan Spiegel, MD, MSHS, AGAF, director of Health Services Research at Cedars-Sinai Medical Center, Los Angeles, who wasn’t involved in the study, is optimistic about emerging applications for AI.

“AI holds incredible promise in gastroenterology, especially for diagnosing complex pancreatic lesions where early, accurate differentiation can be lifesaving,” Spiegel said in an interview.

“This study’s high accuracy across diverse datasets is encouraging; however, as a retrospective analysis, it leaves the real-time clinical impact still to be proven. Prospective studies will be essential to confirm AI’s role in enhancing our diagnostic capabilities,” Spiegel cautioned.

“More generally, AI is rapidly transforming gastroenterology by enhancing our ability to detect, differentiate, and monitor conditions with unprecedented precision. From improving early cancer detection to guiding complex diagnostic procedures, AI stands to become an invaluable tool that complements clinical expertise. As we refine these technologies, the potential for AI to elevate both diagnostic accuracy and patient outcomes in GI is truly remarkable,” Spiegel said.

The study had no specific funding. Mascarenhas and Spiegel have declared no conflicts of interest.

A version of this article appeared on Medscape.com.

PHILADELPHIA — Researchers have developed an artificial intelligence (AI) tool capable of detecting and differentiating cystic and solid pancreatic lesions during endoscopic ultrasound (EUS) with high accuracy.

This was a transatlantic collaborative effort involving researchers in Portugal, Spain, the United States, and Brazil, and the AI tool “works on different platforms and different devices,” Miguel Mascarenhas, MD, PhD, with Centro Hospitalar Universitário de São João, Porto, Portugal, said in a presentation at the annual meeting of the American College of Gastroenterology.

Mascarenhas noted that pancreatic cystic lesions (PCLs) are a common incidental finding during imaging and are differentiated by whether they’re mucinous PCLs (M-PCLs) or non-mucinous PCLs (NM-PCLs). The malignancy risk is almost exclusive of PCL with a mucinous phenotype.

Pancreatic solid lesions are also prevalent, and differentiation is challenging. Pancreatic ductal adenocarcinoma (P-DAC) is the most common pancreatic solid lesion and has a poor prognosis because of late-stage disease at diagnosis. Pancreatic neuroendocrine tumors (P-NETs) are less common but have malignant potential.

EUS is the “gold standard” for pancreatic lesion evaluation, but its diagnostic accuracy is suboptimal, particularly for lesions < 10 mm, Mascarenhas noted.

With an eye toward improving diagnostic accuracy, he and colleagues developed a convolutional neural network for detecting and differentiating cystic (M-PCL and NM-PCL) and solid (P-DAC and P-NET) pancreatic lesions.

They leveraged data from 378 EUS exams with 126,000 still images — 19,528 M-PCL, 8175 NM-PCL, 64,286 P-DAC, 29,153 P-NET, and 4858 normal pancreas images.

The AI tool demonstrated 99.1% accuracy for identifying normal pancreatic tissue, and it showed 99% and 99.8% accuracy for M-PCL and NM-PCL, respectively.

For pancreatic solid lesions, P-DAC and P-NET were distinguished with 94% accuracy, with 98.7% and 83.6% sensitivity for P-DAC and P-NET, respectively.
 

Real-Time Validation Next

“AI is delivering promising results throughout medicine, but particularly in gastroenterology, which is one of the most fertile areas of AI research. This comes mostly from the deployment of deep-learning models, most of them convolutional neural networks, which are highly efficient for image analysis,” Mascarenhas told attendees.

This is the “first worldwide convolutional neural network” capable of detecting and differentiating both cystic and solid pancreatic lesions. The use of a large dataset from four centers in two continents helps minimize the impact of demographic bias, Mascarenhas added.

The study is based on still images, not full videos, he noted. As a next step, the team is conducting a multicenter study focused on real-time clinical validation of the model during EUS procedures.

“AI has the potential to improve the diagnostic accuracy of endoscopic ultrasound. We’re just on the tip of the iceberg. There is enormous potential to harness AI, and we welcome all the groups that might want to join our research,” Mascarenhas said.

Brennan Spiegel, MD, MSHS, AGAF, director of Health Services Research at Cedars-Sinai Medical Center, Los Angeles, who wasn’t involved in the study, is optimistic about emerging applications for AI.

“AI holds incredible promise in gastroenterology, especially for diagnosing complex pancreatic lesions where early, accurate differentiation can be lifesaving,” Spiegel said in an interview.

“This study’s high accuracy across diverse datasets is encouraging; however, as a retrospective analysis, it leaves the real-time clinical impact still to be proven. Prospective studies will be essential to confirm AI’s role in enhancing our diagnostic capabilities,” Spiegel cautioned.

“More generally, AI is rapidly transforming gastroenterology by enhancing our ability to detect, differentiate, and monitor conditions with unprecedented precision. From improving early cancer detection to guiding complex diagnostic procedures, AI stands to become an invaluable tool that complements clinical expertise. As we refine these technologies, the potential for AI to elevate both diagnostic accuracy and patient outcomes in GI is truly remarkable,” Spiegel said.

The study had no specific funding. Mascarenhas and Spiegel have declared no conflicts of interest.

A version of this article appeared on Medscape.com.

In daily practice, physicians need a quick and simple way to assess whether a patient’s weight presents a health risk. For decades, the body mass index (BMI) has been used for this purpose, with calculations based on height and weight. Despite its convenience, BMI has faced increasing criticism. Recent research suggests that another metric, the body roundness index (BRI), might better gauge the health risks associated with obesity.

According to experts, BRI may more accurately identify people with high levels of visceral fat than BMI. It’s well documented that abdominal fat is strongly linked to higher risks for obesity-related diseases.
 

Studies Support BRI

Several studies have suggested that BRI could be a valuable tool for assessing health risks. In June of this year, researchers from China reported a significant U-shaped association between BRI and overall mortality in a paper published in JAMA Network Open. People with very low or very high BRI had an increased risk for death, noted Xiaoqian Zhang, MD, from Beijing University of Chinese Medicine, Beijing, China, and his colleagues.

A study published in September in the Journal of the American Heart Association showed that elevated BRI over several years was associated with an increased risk for cardiovascular diseases. “The BRI can be included as a predictive factor for cardiovascular disease incidence,” stated the authors, led by Man Yang, MD, from Nanjing Medical University in Nanjing, China.
 

Why Replace BMI?

Why is a replacement for BMI necessary? When asked by this news organization, Manfred Müller, MD, senior professor at the Institute of Human Nutrition and Food Science at the University of Kiel, in Germany, explained: “BMI was designed to provide a simple value that was as independent of body size as possible, that could detect obesity and estimate related disease risks. But scientifically, BMI has always been a very crude measure to characterize disease risks.”

Müller was part of a research group led by US mathematician Diana Thomas, PhD, who, at the time, worked at Montclair State University, Montclair, New Jersey, and now holds a position at the US Military Academy at West Point, in New York. The group developed and published the BRI in 2013.
 

BMI Classifies Bodybuilders as Obese

The researchers justified their search for a “better” anthropometric measure with two aspects of BMI that still constitute the main points of criticism of the widely used index today:

BMI incorrectly classifies individuals with significant muscle mass, like bodybuilders, as obese, as it doesn’t distinguish between fat and muscle mass. 

BMI provides no information about fat distribution in the body — whether it’s concentrated in the hips or the abdomen, for example. 

In practice, this means that a person with a normal BMI could already have prediabetes, high blood pressure, and high cholesterol, which might go undetected if no further investigations are conducted based solely on their BMI.

The BRI aims to solve this problem. As the name suggests, this index seeks to capture a person’s “roundness.” The formula for calculating BRI includes waist circumference and height but excludes body weight:

BRI = 364.2 − 365.5 × √(1 − [Waist circumference in cm/2π]²/[0.5 × Height in cm]²)

In their 2013 article, Thomas, Müller, and colleagues wrote that it still needed to be proven whether their newly developed index correlated with mortality and the risk for cardiovascular and metabolic diseases — and whether it was sufficiently better than BMI to justify the more complex calculation.
 

Could BRI Replace BMI?

Opinions differ on whether the BRI should replace the BMI. Zhang’s team concluded that the BRI needs to be validated in additional independent cohorts. If it does, it could become a practical screening tool in patient care.

Yang’s research group is optimistic about the BRI’s future: “The longitudinal trajectory of the BRI could be used as a novel indicator of cardiovascular disease risk, which provides a new possibility for cardiovascular disease prevention,” they wrote.

However, even BRI Co-creator Thomas has concerns. “Our entire medical system has been built around the BMI,” she told JAMA, referring to factors such as children’s growth charts and dosage recommendations for medications. That cannot be changed overnight.

Any anthropometric measure intended to replace BMI would need to be rigorously validated across all age groups, genders, and ethnicities. The impact of interventions such as bariatric surgery, diet, and exercise on the new measure would also need to be demonstrated.
 

Anthropometric Measures Only for Clinical Use

Even if BRI proves to be a “better” metric than BMI for patient care, Müller believes it would be no more suitable for research than BMI. “Regardless of the anthropometric measure, these are practical tools for everyday use,” he stressed.

“A high BRI, like a high BMI, is a risk factor — similar to high blood pressure, high cholesterol levels, or smoking — but it is not a disease,” he added. “In practice, as a physician, I know that a patient with a high BMI or BRI has an increased risk. I need to pay attention to that patient.”

Problems arise when indices like BMI or BRI are used in research. “These ‘invented’ anthropometric measures have no biological basis, which can harm obesity research,” Müller emphasized.

He cited the example of genetic research into obesity, which seeks to identify associations between specific genetic patterns and BMI values. “Why should weight in kilograms divided by height in meters squared be genetically determined?” he asked. “These measures are human-made constructs that have nothing to do with biology.”

Müller believes that the use of BMI has created a “gray area in obesity research” that may account for many of the “unexplained” phenomena in this field.
 

The BMI Might Be Responsible for the ‘Healthy Obese’

One such phenomenon is the much-discussed “healthy obese,” referring to individuals with a BMI over 30 who do not have high blood sugar, high blood pressure, metabolic disorders, or elevated uric acid levels. “It’s speculated that it must be due to genetic factors, but in reality, the classification is simply wrong,” Müller said.

According to Müller, research should rely on other methods to determine obesity or relevant fat. For example, to assess diabetes risk, liver fat needs to be measured through enzyme tests, ultrasonography, CT, or MRI.

Visceral fat is also important in assessing cardiometabolic risk. “In the doctor’s office, it’s acceptable to estimate this by looking at waist circumference or even BRI. But for research, that’s inadequate,” noted Müller. Direct measurement of trunk fat with dual-energy x-ray absorptiometry or visceral fat with CT or MRI is needed.

“You always have to distinguish between research and patient care. In daily practice, measures like BRI or BMI are sufficient for assessing cardiometabolic risk. But in research, they are not,” Müller explained. To accurately study the disease risks associated with obesity, one must be aware that “with BMI, you cannot create scientifically valid patient or population groups because this value is far too imprecise.”
 

This story was translated from Medscape’s German edition using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article appeared on Medscape.com.

In daily practice, physicians need a quick and simple way to assess whether a patient’s weight presents a health risk. For decades, the body mass index (BMI) has been used for this purpose, with calculations based on height and weight. Despite its convenience, BMI has faced increasing criticism. Recent research suggests that another metric, the body roundness index (BRI), might better gauge the health risks associated with obesity.

According to experts, BRI may more accurately identify people with high levels of visceral fat than BMI. It’s well documented that abdominal fat is strongly linked to higher risks for obesity-related diseases.
 

Studies Support BRI

Several studies have suggested that BRI could be a valuable tool for assessing health risks. In June of this year, researchers from China reported a significant U-shaped association between BRI and overall mortality in a paper published in JAMA Network Open. People with very low or very high BRI had an increased risk for death, noted Xiaoqian Zhang, MD, from Beijing University of Chinese Medicine, Beijing, China, and his colleagues.

A study published in September in the Journal of the American Heart Association showed that elevated BRI over several years was associated with an increased risk for cardiovascular diseases. “The BRI can be included as a predictive factor for cardiovascular disease incidence,” stated the authors, led by Man Yang, MD, from Nanjing Medical University in Nanjing, China.
 

Why Replace BMI?

Why is a replacement for BMI necessary? When asked by this news organization, Manfred Müller, MD, senior professor at the Institute of Human Nutrition and Food Science at the University of Kiel, in Germany, explained: “BMI was designed to provide a simple value that was as independent of body size as possible, that could detect obesity and estimate related disease risks. But scientifically, BMI has always been a very crude measure to characterize disease risks.”

Müller was part of a research group led by US mathematician Diana Thomas, PhD, who, at the time, worked at Montclair State University, Montclair, New Jersey, and now holds a position at the US Military Academy at West Point, in New York. The group developed and published the BRI in 2013.
 

BMI Classifies Bodybuilders as Obese

The researchers justified their search for a “better” anthropometric measure with two aspects of BMI that still constitute the main points of criticism of the widely used index today:

BMI incorrectly classifies individuals with significant muscle mass, like bodybuilders, as obese, as it doesn’t distinguish between fat and muscle mass. 

BMI provides no information about fat distribution in the body — whether it’s concentrated in the hips or the abdomen, for example. 

In practice, this means that a person with a normal BMI could already have prediabetes, high blood pressure, and high cholesterol, which might go undetected if no further investigations are conducted based solely on their BMI.

The BRI aims to solve this problem. As the name suggests, this index seeks to capture a person’s “roundness.” The formula for calculating BRI includes waist circumference and height but excludes body weight:

BRI = 364.2 − 365.5 × √(1 − [Waist circumference in cm/2π]²/[0.5 × Height in cm]²)

In their 2013 article, Thomas, Müller, and colleagues wrote that it still needed to be proven whether their newly developed index correlated with mortality and the risk for cardiovascular and metabolic diseases — and whether it was sufficiently better than BMI to justify the more complex calculation.
 

Could BRI Replace BMI?

Opinions differ on whether the BRI should replace the BMI. Zhang’s team concluded that the BRI needs to be validated in additional independent cohorts. If it does, it could become a practical screening tool in patient care.

Yang’s research group is optimistic about the BRI’s future: “The longitudinal trajectory of the BRI could be used as a novel indicator of cardiovascular disease risk, which provides a new possibility for cardiovascular disease prevention,” they wrote.

However, even BRI Co-creator Thomas has concerns. “Our entire medical system has been built around the BMI,” she told JAMA, referring to factors such as children’s growth charts and dosage recommendations for medications. That cannot be changed overnight.

Any anthropometric measure intended to replace BMI would need to be rigorously validated across all age groups, genders, and ethnicities. The impact of interventions such as bariatric surgery, diet, and exercise on the new measure would also need to be demonstrated.
 

Anthropometric Measures Only for Clinical Use

Even if BRI proves to be a “better” metric than BMI for patient care, Müller believes it would be no more suitable for research than BMI. “Regardless of the anthropometric measure, these are practical tools for everyday use,” he stressed.

“A high BRI, like a high BMI, is a risk factor — similar to high blood pressure, high cholesterol levels, or smoking — but it is not a disease,” he added. “In practice, as a physician, I know that a patient with a high BMI or BRI has an increased risk. I need to pay attention to that patient.”

Problems arise when indices like BMI or BRI are used in research. “These ‘invented’ anthropometric measures have no biological basis, which can harm obesity research,” Müller emphasized.

He cited the example of genetic research into obesity, which seeks to identify associations between specific genetic patterns and BMI values. “Why should weight in kilograms divided by height in meters squared be genetically determined?” he asked. “These measures are human-made constructs that have nothing to do with biology.”

Müller believes that the use of BMI has created a “gray area in obesity research” that may account for many of the “unexplained” phenomena in this field.
 

The BMI Might Be Responsible for the ‘Healthy Obese’

One such phenomenon is the much-discussed “healthy obese,” referring to individuals with a BMI over 30 who do not have high blood sugar, high blood pressure, metabolic disorders, or elevated uric acid levels. “It’s speculated that it must be due to genetic factors, but in reality, the classification is simply wrong,” Müller said.

According to Müller, research should rely on other methods to determine obesity or relevant fat. For example, to assess diabetes risk, liver fat needs to be measured through enzyme tests, ultrasonography, CT, or MRI.

Visceral fat is also important in assessing cardiometabolic risk. “In the doctor’s office, it’s acceptable to estimate this by looking at waist circumference or even BRI. But for research, that’s inadequate,” noted Müller. Direct measurement of trunk fat with dual-energy x-ray absorptiometry or visceral fat with CT or MRI is needed.

“You always have to distinguish between research and patient care. In daily practice, measures like BRI or BMI are sufficient for assessing cardiometabolic risk. But in research, they are not,” Müller explained. To accurately study the disease risks associated with obesity, one must be aware that “with BMI, you cannot create scientifically valid patient or population groups because this value is far too imprecise.”
 

This story was translated from Medscape’s German edition using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article appeared on Medscape.com.

In daily practice, physicians need a quick and simple way to assess whether a patient’s weight presents a health risk. For decades, the body mass index (BMI) has been used for this purpose, with calculations based on height and weight. Despite its convenience, BMI has faced increasing criticism. Recent research suggests that another metric, the body roundness index (BRI), might better gauge the health risks associated with obesity.

According to experts, BRI may more accurately identify people with high levels of visceral fat than BMI. It’s well documented that abdominal fat is strongly linked to higher risks for obesity-related diseases.
 

Studies Support BRI

Several studies have suggested that BRI could be a valuable tool for assessing health risks. In June of this year, researchers from China reported a significant U-shaped association between BRI and overall mortality in a paper published in JAMA Network Open. People with very low or very high BRI had an increased risk for death, noted Xiaoqian Zhang, MD, from Beijing University of Chinese Medicine, Beijing, China, and his colleagues.

A study published in September in the Journal of the American Heart Association showed that elevated BRI over several years was associated with an increased risk for cardiovascular diseases. “The BRI can be included as a predictive factor for cardiovascular disease incidence,” stated the authors, led by Man Yang, MD, from Nanjing Medical University in Nanjing, China.
 

Why Replace BMI?

Why is a replacement for BMI necessary? When asked by this news organization, Manfred Müller, MD, senior professor at the Institute of Human Nutrition and Food Science at the University of Kiel, in Germany, explained: “BMI was designed to provide a simple value that was as independent of body size as possible, that could detect obesity and estimate related disease risks. But scientifically, BMI has always been a very crude measure to characterize disease risks.”

Müller was part of a research group led by US mathematician Diana Thomas, PhD, who, at the time, worked at Montclair State University, Montclair, New Jersey, and now holds a position at the US Military Academy at West Point, in New York. The group developed and published the BRI in 2013.
 

BMI Classifies Bodybuilders as Obese

The researchers justified their search for a “better” anthropometric measure with two aspects of BMI that still constitute the main points of criticism of the widely used index today:

BMI incorrectly classifies individuals with significant muscle mass, like bodybuilders, as obese, as it doesn’t distinguish between fat and muscle mass. 

BMI provides no information about fat distribution in the body — whether it’s concentrated in the hips or the abdomen, for example. 

In practice, this means that a person with a normal BMI could already have prediabetes, high blood pressure, and high cholesterol, which might go undetected if no further investigations are conducted based solely on their BMI.

The BRI aims to solve this problem. As the name suggests, this index seeks to capture a person’s “roundness.” The formula for calculating BRI includes waist circumference and height but excludes body weight:

BRI = 364.2 − 365.5 × √(1 − [Waist circumference in cm/2π]²/[0.5 × Height in cm]²)

In their 2013 article, Thomas, Müller, and colleagues wrote that it still needed to be proven whether their newly developed index correlated with mortality and the risk for cardiovascular and metabolic diseases — and whether it was sufficiently better than BMI to justify the more complex calculation.
 

Could BRI Replace BMI?

Opinions differ on whether the BRI should replace the BMI. Zhang’s team concluded that the BRI needs to be validated in additional independent cohorts. If it does, it could become a practical screening tool in patient care.

Yang’s research group is optimistic about the BRI’s future: “The longitudinal trajectory of the BRI could be used as a novel indicator of cardiovascular disease risk, which provides a new possibility for cardiovascular disease prevention,” they wrote.

However, even BRI Co-creator Thomas has concerns. “Our entire medical system has been built around the BMI,” she told JAMA, referring to factors such as children’s growth charts and dosage recommendations for medications. That cannot be changed overnight.

Any anthropometric measure intended to replace BMI would need to be rigorously validated across all age groups, genders, and ethnicities. The impact of interventions such as bariatric surgery, diet, and exercise on the new measure would also need to be demonstrated.
 

Anthropometric Measures Only for Clinical Use

Even if BRI proves to be a “better” metric than BMI for patient care, Müller believes it would be no more suitable for research than BMI. “Regardless of the anthropometric measure, these are practical tools for everyday use,” he stressed.

“A high BRI, like a high BMI, is a risk factor — similar to high blood pressure, high cholesterol levels, or smoking — but it is not a disease,” he added. “In practice, as a physician, I know that a patient with a high BMI or BRI has an increased risk. I need to pay attention to that patient.”

Problems arise when indices like BMI or BRI are used in research. “These ‘invented’ anthropometric measures have no biological basis, which can harm obesity research,” Müller emphasized.

He cited the example of genetic research into obesity, which seeks to identify associations between specific genetic patterns and BMI values. “Why should weight in kilograms divided by height in meters squared be genetically determined?” he asked. “These measures are human-made constructs that have nothing to do with biology.”

Müller believes that the use of BMI has created a “gray area in obesity research” that may account for many of the “unexplained” phenomena in this field.
 

The BMI Might Be Responsible for the ‘Healthy Obese’

One such phenomenon is the much-discussed “healthy obese,” referring to individuals with a BMI over 30 who do not have high blood sugar, high blood pressure, metabolic disorders, or elevated uric acid levels. “It’s speculated that it must be due to genetic factors, but in reality, the classification is simply wrong,” Müller said.

According to Müller, research should rely on other methods to determine obesity or relevant fat. For example, to assess diabetes risk, liver fat needs to be measured through enzyme tests, ultrasonography, CT, or MRI.

Visceral fat is also important in assessing cardiometabolic risk. “In the doctor’s office, it’s acceptable to estimate this by looking at waist circumference or even BRI. But for research, that’s inadequate,” noted Müller. Direct measurement of trunk fat with dual-energy x-ray absorptiometry or visceral fat with CT or MRI is needed.

“You always have to distinguish between research and patient care. In daily practice, measures like BRI or BMI are sufficient for assessing cardiometabolic risk. But in research, they are not,” Müller explained. To accurately study the disease risks associated with obesity, one must be aware that “with BMI, you cannot create scientifically valid patient or population groups because this value is far too imprecise.”
 

This story was translated from Medscape’s German edition using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article appeared on Medscape.com.

When my normally adorable cat Biscuit bit my ankle in a playful stalking exercise gone wrong, I washed it with soap and some rubbing alcohol, slapped on a Band-Aid, and went about my day.

The next morning, when it was swollen, I told myself it was probably just a hematoma and went about my day.

Dr. Wilson

Dr. Wilson

Dr. Wilson

Dr. Wilson

Dr. Wilson

JAMA Network

Dr. Wilson

Dr. Wilson is associate professor of medicine and public health and director of the Clinical and Translational Research Accelerator at Yale University, New Haven, Conn. He has disclosed no relevant financial relationships.

A version of this article appeared on Medscape.com.

When my normally adorable cat Biscuit bit my ankle in a playful stalking exercise gone wrong, I washed it with soap and some rubbing alcohol, slapped on a Band-Aid, and went about my day.

The next morning, when it was swollen, I told myself it was probably just a hematoma and went about my day.

Dr. Wilson

Dr. Wilson

Dr. Wilson

Dr. Wilson

Dr. Wilson

JAMA Network

Dr. Wilson

Dr. Wilson is associate professor of medicine and public health and director of the Clinical and Translational Research Accelerator at Yale University, New Haven, Conn. He has disclosed no relevant financial relationships.

A version of this article appeared on Medscape.com.

When my normally adorable cat Biscuit bit my ankle in a playful stalking exercise gone wrong, I washed it with soap and some rubbing alcohol, slapped on a Band-Aid, and went about my day.

The next morning, when it was swollen, I told myself it was probably just a hematoma and went about my day.

Dr. Wilson

Dr. Wilson

Dr. Wilson

Dr. Wilson

Dr. Wilson

JAMA Network

Dr. Wilson

Dr. Wilson is associate professor of medicine and public health and director of the Clinical and Translational Research Accelerator at Yale University, New Haven, Conn. He has disclosed no relevant financial relationships.

A version of this article appeared on Medscape.com.

Efforts to curb overdiagnosis of thyroid cancer have made a difference in the United States and South Korea, but these countries still have high rates of excess treatment of indolent lesions, according to a recently published global study.

The proportion of thyroid cancer cases attributable to overdiagnosis globally was higher in women (78%) than in men (68%), with this rate varying substantially across countries, wrote Mengmeng Li, PhD, of the Sun Yat-sen University Cancer Center, Guangzhou, China, and coauthors in an October paper in The Lancet Diabetes & Endocrinology.

Overdiagnosis refers to the diagnosis of lesions that would not cause symptoms and that would not progress, if left alone.

Increased testing for thyroid cancer, fueled in large part by the expansion of imaging technologies and progressively more intense and disorganized scrutiny of the thyroid, led many people to be treated for often indolent lesions, exposing them to potential side effects as well as financial and emotional distress.

Li and coauthors estimate that more than 1.7 million people might have been overdiagnosed between 2013 and 2017 in 63 countries.

“Overdiagnosis clearly emerged in some high-resource countries with private-based health systems in which access to healthcare overrules regulatory controls (eg, in the USA) and in some high-quality public health systems with easy and broad access to thyroid gland diagnostic examinations (eg, in Canada),” Li and coauthors wrote. “Conversely, thyroid cancer is less commonly diagnosed in those countries in which access to diagnosis is guided by strong regulatory rules (eg, in Nordic countries).”

Their study drew from almost 40 years of research, including the latest available data from the World Health Organization’s International Agency for Research on Cancer’s (IARC’s) Global Cancer Observatory. Li and coauthors examined patterns in the time trends of thyroid cancer, mortality data, and trends in diagnosis of thyroid cancer before testing became common in many nations.

This approach is needed in estimating overdiagnosis, where it’s not possible to see what’s happening on a case-by-case level, Salvatore Vaccarella, PhD, a scientist at IARC’s Cancer Surveillance Branch, said in an interview.

Researchers can’t tell whether an individual’s detected early-stage cancers would have remained indolent for years or eventually would have put their life at risk, he said. Instead, the patterns emerge through larger studies of the reported cases of cancer like thyroid tumors and then looking at separate datasets on mortality.

“We can only see that as a big phenomenon when we look at population-based data,” Vaccarella said.
 

Persisting Problem

Recognition of the harms of overdiagnosis has resulted in some reduction of the incidence of thyroid cancer in the United States, Li and coauthors wrote. After adjusting for age, incidence has fallen from 19 per 100,000 women in 2013 to 16 per 100,000 women in 2017. The proportion of thyroid cancer attributed to overdiagnosis has dropped from 76% to 68% in the country.

The paper adds to the evidence suggesting that the rise in screening has not changed mortality rates for thyroid cancer. For example, Li and coauthors reported seeing “a small decrease in thyroid cancer mortality rates over time in some European countries, but this decline (less than 1 per 100,000 women) is marginal compared with the increases in incidence (reaching around 100 per 100,000 women).”

“Moreover, previous data show that the downward mortality trends had begun before the wide use of ultrasonography for early detection and that period and birth cohort effects have been declining, probably due to treatment advances and reduced prevalence of risk factors, such as the reduction in iodine deficiency,” they wrote.

In an interview, Amanda Davis, MD, of AnMed, a nonprofit health system based in Anderson, South Carolina, said the new paper from Li and Vaccarella provides further evidence for a cautious approach to thyroid nodules given concerns about overdiagnosis.

If early detection of cancer via discovery of thyroid nodules actually helped patients, mortality rates would have dropped with expansion of screening and the resulting diagnoses, said Davis, who is an associate program director at AnMed’s family medicine residency program and affiliate professor at the Medical University of South Carolina, Charleston.

In many cases, people learn they have thyroid lesions after being tested for other conditions such as ultrasound done on carotid arteries to check for stroke risk. The most common form of thyroid cancer is the papillary form. Papillary thyroid cancer tends to be slow growing, carries a low risk for distant metastasis, and in many cases poses little risk. Some small (< 1 cm) papillary thyroid cancers can be monitored with active surveillance as opposed to thyroid lobectomy.

“So just finding more nodules incidentally or through screening ultrasound and even finding more papillary cancers via these methods does not make people healthier or decrease mortality,” Davis said.

“So just finding more things and even finding more papillary cancers does not increase our ability to treat people and keep them alive longer,” Davis said.

The 5-year survival rate for thyroid cancer overall is 98.1% and varies from 99.9% for localized disease to 55.3% for distant disease, the US Preventive Services Task Force (USPSTF) said in a 2017 publication in JAMA. The task force that year gave a “D” rating on screening of asymptomatic people for thyroid cancer. That means there’s moderate certainty that screening for thyroid cancer in asymptomatic persons results in harms that outweigh the benefits. The decision to give this “D” rating meant this screening is not recommended. That’s still the panel’s view.

“You can think of it as a “D” for ‘don’t screen for thyroid cancer,’ ” in people who present no symptoms of this illness, John Wong, MD, the vice chair of the USPSTF, said in an interview.

In primary care, the challenge is assessing thyroid nodules detected when people undergo testing for another reason, such as an ultrasound of the carotid artery to check for stroke risk.

Thyroid nodules can be detected by ultrasonography in up to 68% of the general population, reported a study in American Family Physician. Nodules with suspicious features or ≥ 1 cm require fine needle aspiration. The Bethesda System for Reporting Thyroid Cytopathology can be used to classify samples, with molecular testing applied to guide treatment when fine needle aspiration yields an indeterminate result.
 

New Thinking on Thyroid Cancer

There’s been a shift in recent years in the approach to how physicians should proceed if certain kinds of thyroid cancer are detected, Cari M. Kitahara, PhD, of the National Cancer Institute noted in a comment accompanying the Li paper.

“Clinicians need to be judicious in the use of thyroid ultrasonography, the diagnostic follow-up of incidentally detected thyroid nodules, and determining the optimal course of treatment,” Kitahara wrote. “For low-risk and incidentally detected tumors, strong consideration should be given to less intensive treatment options (eg, lobectomy, delayed treatment, and active surveillance).”

The American Thyroid Association guidelines encourage de-escalation of treatment for low-risk papillary thyroid carcinoma up to 4 cm.

Physicians often need to make clear to patients how a diagnosis of low-risk papillary thyroid cancer differs from other oncology diagnoses, R. Michael Tuttle, MD, of Memorial Sloan Kettering Cancer Center, New York City, said in an interview.

“I’ll frequently say that everything you’ve ever learned about cancer, you need to forget,” Tuttle said.

Some patients will mistakenly think any cancer diagnosis is a likely death sentence, meaning they should rush to get aggressive treatment. Tuttle has been a leader for many years in efforts in advancing active surveillance as an option for certain people with low-risk thyroid cancer.

“I often start my consultation by saying: ‘We’re going to choose between two right answers here. One right answer is watching right. One right answer is going to surgery,’ ” Tuttle said.

Patients with low-risk thyroid cancer tend to fall into two camps, with maximalists likely to seek quick treatment and minimalists more inclined for surveillance if that’s an option for them, Tuttle said. As opinions have shifted within the medical community about approaches to low-risk thyroid cancer, there’s also been some growing awareness among the public about thyroid overdiagnosis.

“Ten or 15 years ago, people thought we were crazy” to consider active surveillance as an option for low-risk thyroid cancers,” Tuttle said. “Now we have swung, at least in some of the public opinion, to this recognition that every little speck of cancer doesn’t need to be immediately taken out of your body.”

Some patients express regret about having learned that they have low-risk thyroid cancer, Tuttle said.

“Over the last 5 years, it’s not uncommon for patients to ask me, ‘Is this one of those that needs to be treated now, or is this one of those that we wish we would have never found?’ Or people will say, ‘My doctor talked me into an ultrasound, I didn’t want it’ or ‘I had a car wreck, and I found this nodule and I wished I had never found it.’ ”

This study from Li and coauthors was funded by the National Natural Science Foundation of China, the Guangdong Basic and Applied Basic Research Foundation, the Young Talents Program of Sun Yat-sen University Cancer Center, the Italian Association for Cancer Research, and the Italian Ministry of Health. Davis and Tuttle had no relevant financial disclosures.

A version of this article first appeared on Medscape.com.

Efforts to curb overdiagnosis of thyroid cancer have made a difference in the United States and South Korea, but these countries still have high rates of excess treatment of indolent lesions, according to a recently published global study.

The proportion of thyroid cancer cases attributable to overdiagnosis globally was higher in women (78%) than in men (68%), with this rate varying substantially across countries, wrote Mengmeng Li, PhD, of the Sun Yat-sen University Cancer Center, Guangzhou, China, and coauthors in an October paper in The Lancet Diabetes & Endocrinology.

Overdiagnosis refers to the diagnosis of lesions that would not cause symptoms and that would not progress, if left alone.

Increased testing for thyroid cancer, fueled in large part by the expansion of imaging technologies and progressively more intense and disorganized scrutiny of the thyroid, led many people to be treated for often indolent lesions, exposing them to potential side effects as well as financial and emotional distress.

Li and coauthors estimate that more than 1.7 million people might have been overdiagnosed between 2013 and 2017 in 63 countries.

“Overdiagnosis clearly emerged in some high-resource countries with private-based health systems in which access to healthcare overrules regulatory controls (eg, in the USA) and in some high-quality public health systems with easy and broad access to thyroid gland diagnostic examinations (eg, in Canada),” Li and coauthors wrote. “Conversely, thyroid cancer is less commonly diagnosed in those countries in which access to diagnosis is guided by strong regulatory rules (eg, in Nordic countries).”

Their study drew from almost 40 years of research, including the latest available data from the World Health Organization’s International Agency for Research on Cancer’s (IARC’s) Global Cancer Observatory. Li and coauthors examined patterns in the time trends of thyroid cancer, mortality data, and trends in diagnosis of thyroid cancer before testing became common in many nations.

This approach is needed in estimating overdiagnosis, where it’s not possible to see what’s happening on a case-by-case level, Salvatore Vaccarella, PhD, a scientist at IARC’s Cancer Surveillance Branch, said in an interview.

Researchers can’t tell whether an individual’s detected early-stage cancers would have remained indolent for years or eventually would have put their life at risk, he said. Instead, the patterns emerge through larger studies of the reported cases of cancer like thyroid tumors and then looking at separate datasets on mortality.

“We can only see that as a big phenomenon when we look at population-based data,” Vaccarella said.
 

Persisting Problem

Recognition of the harms of overdiagnosis has resulted in some reduction of the incidence of thyroid cancer in the United States, Li and coauthors wrote. After adjusting for age, incidence has fallen from 19 per 100,000 women in 2013 to 16 per 100,000 women in 2017. The proportion of thyroid cancer attributed to overdiagnosis has dropped from 76% to 68% in the country.

The paper adds to the evidence suggesting that the rise in screening has not changed mortality rates for thyroid cancer. For example, Li and coauthors reported seeing “a small decrease in thyroid cancer mortality rates over time in some European countries, but this decline (less than 1 per 100,000 women) is marginal compared with the increases in incidence (reaching around 100 per 100,000 women).”

“Moreover, previous data show that the downward mortality trends had begun before the wide use of ultrasonography for early detection and that period and birth cohort effects have been declining, probably due to treatment advances and reduced prevalence of risk factors, such as the reduction in iodine deficiency,” they wrote.

In an interview, Amanda Davis, MD, of AnMed, a nonprofit health system based in Anderson, South Carolina, said the new paper from Li and Vaccarella provides further evidence for a cautious approach to thyroid nodules given concerns about overdiagnosis.

If early detection of cancer via discovery of thyroid nodules actually helped patients, mortality rates would have dropped with expansion of screening and the resulting diagnoses, said Davis, who is an associate program director at AnMed’s family medicine residency program and affiliate professor at the Medical University of South Carolina, Charleston.

In many cases, people learn they have thyroid lesions after being tested for other conditions such as ultrasound done on carotid arteries to check for stroke risk. The most common form of thyroid cancer is the papillary form. Papillary thyroid cancer tends to be slow growing, carries a low risk for distant metastasis, and in many cases poses little risk. Some small (< 1 cm) papillary thyroid cancers can be monitored with active surveillance as opposed to thyroid lobectomy.

“So just finding more nodules incidentally or through screening ultrasound and even finding more papillary cancers via these methods does not make people healthier or decrease mortality,” Davis said.

“So just finding more things and even finding more papillary cancers does not increase our ability to treat people and keep them alive longer,” Davis said.

The 5-year survival rate for thyroid cancer overall is 98.1% and varies from 99.9% for localized disease to 55.3% for distant disease, the US Preventive Services Task Force (USPSTF) said in a 2017 publication in JAMA. The task force that year gave a “D” rating on screening of asymptomatic people for thyroid cancer. That means there’s moderate certainty that screening for thyroid cancer in asymptomatic persons results in harms that outweigh the benefits. The decision to give this “D” rating meant this screening is not recommended. That’s still the panel’s view.

“You can think of it as a “D” for ‘don’t screen for thyroid cancer,’ ” in people who present no symptoms of this illness, John Wong, MD, the vice chair of the USPSTF, said in an interview.

In primary care, the challenge is assessing thyroid nodules detected when people undergo testing for another reason, such as an ultrasound of the carotid artery to check for stroke risk.

Thyroid nodules can be detected by ultrasonography in up to 68% of the general population, reported a study in American Family Physician. Nodules with suspicious features or ≥ 1 cm require fine needle aspiration. The Bethesda System for Reporting Thyroid Cytopathology can be used to classify samples, with molecular testing applied to guide treatment when fine needle aspiration yields an indeterminate result.
 

New Thinking on Thyroid Cancer

There’s been a shift in recent years in the approach to how physicians should proceed if certain kinds of thyroid cancer are detected, Cari M. Kitahara, PhD, of the National Cancer Institute noted in a comment accompanying the Li paper.

“Clinicians need to be judicious in the use of thyroid ultrasonography, the diagnostic follow-up of incidentally detected thyroid nodules, and determining the optimal course of treatment,” Kitahara wrote. “For low-risk and incidentally detected tumors, strong consideration should be given to less intensive treatment options (eg, lobectomy, delayed treatment, and active surveillance).”

The American Thyroid Association guidelines encourage de-escalation of treatment for low-risk papillary thyroid carcinoma up to 4 cm.

Physicians often need to make clear to patients how a diagnosis of low-risk papillary thyroid cancer differs from other oncology diagnoses, R. Michael Tuttle, MD, of Memorial Sloan Kettering Cancer Center, New York City, said in an interview.

“I’ll frequently say that everything you’ve ever learned about cancer, you need to forget,” Tuttle said.

Some patients will mistakenly think any cancer diagnosis is a likely death sentence, meaning they should rush to get aggressive treatment. Tuttle has been a leader for many years in efforts in advancing active surveillance as an option for certain people with low-risk thyroid cancer.

“I often start my consultation by saying: ‘We’re going to choose between two right answers here. One right answer is watching right. One right answer is going to surgery,’ ” Tuttle said.

Patients with low-risk thyroid cancer tend to fall into two camps, with maximalists likely to seek quick treatment and minimalists more inclined for surveillance if that’s an option for them, Tuttle said. As opinions have shifted within the medical community about approaches to low-risk thyroid cancer, there’s also been some growing awareness among the public about thyroid overdiagnosis.

“Ten or 15 years ago, people thought we were crazy” to consider active surveillance as an option for low-risk thyroid cancers,” Tuttle said. “Now we have swung, at least in some of the public opinion, to this recognition that every little speck of cancer doesn’t need to be immediately taken out of your body.”

Some patients express regret about having learned that they have low-risk thyroid cancer, Tuttle said.

“Over the last 5 years, it’s not uncommon for patients to ask me, ‘Is this one of those that needs to be treated now, or is this one of those that we wish we would have never found?’ Or people will say, ‘My doctor talked me into an ultrasound, I didn’t want it’ or ‘I had a car wreck, and I found this nodule and I wished I had never found it.’ ”

This study from Li and coauthors was funded by the National Natural Science Foundation of China, the Guangdong Basic and Applied Basic Research Foundation, the Young Talents Program of Sun Yat-sen University Cancer Center, the Italian Association for Cancer Research, and the Italian Ministry of Health. Davis and Tuttle had no relevant financial disclosures.

A version of this article first appeared on Medscape.com.

Efforts to curb overdiagnosis of thyroid cancer have made a difference in the United States and South Korea, but these countries still have high rates of excess treatment of indolent lesions, according to a recently published global study.

The proportion of thyroid cancer cases attributable to overdiagnosis globally was higher in women (78%) than in men (68%), with this rate varying substantially across countries, wrote Mengmeng Li, PhD, of the Sun Yat-sen University Cancer Center, Guangzhou, China, and coauthors in an October paper in The Lancet Diabetes & Endocrinology.

Overdiagnosis refers to the diagnosis of lesions that would not cause symptoms and that would not progress, if left alone.

Increased testing for thyroid cancer, fueled in large part by the expansion of imaging technologies and progressively more intense and disorganized scrutiny of the thyroid, led many people to be treated for often indolent lesions, exposing them to potential side effects as well as financial and emotional distress.

Li and coauthors estimate that more than 1.7 million people might have been overdiagnosed between 2013 and 2017 in 63 countries.

“Overdiagnosis clearly emerged in some high-resource countries with private-based health systems in which access to healthcare overrules regulatory controls (eg, in the USA) and in some high-quality public health systems with easy and broad access to thyroid gland diagnostic examinations (eg, in Canada),” Li and coauthors wrote. “Conversely, thyroid cancer is less commonly diagnosed in those countries in which access to diagnosis is guided by strong regulatory rules (eg, in Nordic countries).”

Their study drew from almost 40 years of research, including the latest available data from the World Health Organization’s International Agency for Research on Cancer’s (IARC’s) Global Cancer Observatory. Li and coauthors examined patterns in the time trends of thyroid cancer, mortality data, and trends in diagnosis of thyroid cancer before testing became common in many nations.

This approach is needed in estimating overdiagnosis, where it’s not possible to see what’s happening on a case-by-case level, Salvatore Vaccarella, PhD, a scientist at IARC’s Cancer Surveillance Branch, said in an interview.

Researchers can’t tell whether an individual’s detected early-stage cancers would have remained indolent for years or eventually would have put their life at risk, he said. Instead, the patterns emerge through larger studies of the reported cases of cancer like thyroid tumors and then looking at separate datasets on mortality.

“We can only see that as a big phenomenon when we look at population-based data,” Vaccarella said.
 

Persisting Problem

Recognition of the harms of overdiagnosis has resulted in some reduction of the incidence of thyroid cancer in the United States, Li and coauthors wrote. After adjusting for age, incidence has fallen from 19 per 100,000 women in 2013 to 16 per 100,000 women in 2017. The proportion of thyroid cancer attributed to overdiagnosis has dropped from 76% to 68% in the country.

The paper adds to the evidence suggesting that the rise in screening has not changed mortality rates for thyroid cancer. For example, Li and coauthors reported seeing “a small decrease in thyroid cancer mortality rates over time in some European countries, but this decline (less than 1 per 100,000 women) is marginal compared with the increases in incidence (reaching around 100 per 100,000 women).”

“Moreover, previous data show that the downward mortality trends had begun before the wide use of ultrasonography for early detection and that period and birth cohort effects have been declining, probably due to treatment advances and reduced prevalence of risk factors, such as the reduction in iodine deficiency,” they wrote.

In an interview, Amanda Davis, MD, of AnMed, a nonprofit health system based in Anderson, South Carolina, said the new paper from Li and Vaccarella provides further evidence for a cautious approach to thyroid nodules given concerns about overdiagnosis.

If early detection of cancer via discovery of thyroid nodules actually helped patients, mortality rates would have dropped with expansion of screening and the resulting diagnoses, said Davis, who is an associate program director at AnMed’s family medicine residency program and affiliate professor at the Medical University of South Carolina, Charleston.

In many cases, people learn they have thyroid lesions after being tested for other conditions such as ultrasound done on carotid arteries to check for stroke risk. The most common form of thyroid cancer is the papillary form. Papillary thyroid cancer tends to be slow growing, carries a low risk for distant metastasis, and in many cases poses little risk. Some small (< 1 cm) papillary thyroid cancers can be monitored with active surveillance as opposed to thyroid lobectomy.

“So just finding more nodules incidentally or through screening ultrasound and even finding more papillary cancers via these methods does not make people healthier or decrease mortality,” Davis said.

“So just finding more things and even finding more papillary cancers does not increase our ability to treat people and keep them alive longer,” Davis said.

The 5-year survival rate for thyroid cancer overall is 98.1% and varies from 99.9% for localized disease to 55.3% for distant disease, the US Preventive Services Task Force (USPSTF) said in a 2017 publication in JAMA. The task force that year gave a “D” rating on screening of asymptomatic people for thyroid cancer. That means there’s moderate certainty that screening for thyroid cancer in asymptomatic persons results in harms that outweigh the benefits. The decision to give this “D” rating meant this screening is not recommended. That’s still the panel’s view.

“You can think of it as a “D” for ‘don’t screen for thyroid cancer,’ ” in people who present no symptoms of this illness, John Wong, MD, the vice chair of the USPSTF, said in an interview.

In primary care, the challenge is assessing thyroid nodules detected when people undergo testing for another reason, such as an ultrasound of the carotid artery to check for stroke risk.

Thyroid nodules can be detected by ultrasonography in up to 68% of the general population, reported a study in American Family Physician. Nodules with suspicious features or ≥ 1 cm require fine needle aspiration. The Bethesda System for Reporting Thyroid Cytopathology can be used to classify samples, with molecular testing applied to guide treatment when fine needle aspiration yields an indeterminate result.