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Periventricular lesions (PVLs) play a key role in the differential diagnosis between migraine with aura (MA) and clinically isolated syndrome (CIS), particularly when there are greater than 3, according to a recent retrospective study. White matter hyperintensities (WMH) of 84 patients with MA and 79 patients with CIS were assessed using manual segmentation technique. Lesion probability maps (LPMs) and voxel-wise analysis of lesion distribution by diagnosis were obtained. Researchers also performed a logistic regression analysis based on lesion locations and volumes. They found:
- Compared to patients with MA, patients with CIS showed a significant overall higher T2 WMH mean number and volume (17.9 ± 16.9 vs 6.2 ± 11.9 and 3.1 ± 4.2 vs 0.3 ± 0.6 mL) and a significantly higher T2 WMH mean number in infratentorial, periventricular, and juxtacortical areas.
- LPMs identified the periventricular regions as the sites with the highest probability of detecting T2 WMH in patients with CIS.
- Voxel-wise analysis of lesion distribution by diagnosis revealed a statistically significant association exclusively between the diagnosis of CIS and the PVLs.
Lapucci C, Saitta L, Bommarito G, et al. How much do periventricular lesions assist in distinguishing migraine with aura from CIS? [Published online ahead of print March 8, 2019]. Neurology. doi:10.1212/WNL.0000000000007266.
Periventricular lesions (PVLs) play a key role in the differential diagnosis between migraine with aura (MA) and clinically isolated syndrome (CIS), particularly when there are greater than 3, according to a recent retrospective study. White matter hyperintensities (WMH) of 84 patients with MA and 79 patients with CIS were assessed using manual segmentation technique. Lesion probability maps (LPMs) and voxel-wise analysis of lesion distribution by diagnosis were obtained. Researchers also performed a logistic regression analysis based on lesion locations and volumes. They found:
- Compared to patients with MA, patients with CIS showed a significant overall higher T2 WMH mean number and volume (17.9 ± 16.9 vs 6.2 ± 11.9 and 3.1 ± 4.2 vs 0.3 ± 0.6 mL) and a significantly higher T2 WMH mean number in infratentorial, periventricular, and juxtacortical areas.
- LPMs identified the periventricular regions as the sites with the highest probability of detecting T2 WMH in patients with CIS.
- Voxel-wise analysis of lesion distribution by diagnosis revealed a statistically significant association exclusively between the diagnosis of CIS and the PVLs.
Lapucci C, Saitta L, Bommarito G, et al. How much do periventricular lesions assist in distinguishing migraine with aura from CIS? [Published online ahead of print March 8, 2019]. Neurology. doi:10.1212/WNL.0000000000007266.
Periventricular lesions (PVLs) play a key role in the differential diagnosis between migraine with aura (MA) and clinically isolated syndrome (CIS), particularly when there are greater than 3, according to a recent retrospective study. White matter hyperintensities (WMH) of 84 patients with MA and 79 patients with CIS were assessed using manual segmentation technique. Lesion probability maps (LPMs) and voxel-wise analysis of lesion distribution by diagnosis were obtained. Researchers also performed a logistic regression analysis based on lesion locations and volumes. They found:
- Compared to patients with MA, patients with CIS showed a significant overall higher T2 WMH mean number and volume (17.9 ± 16.9 vs 6.2 ± 11.9 and 3.1 ± 4.2 vs 0.3 ± 0.6 mL) and a significantly higher T2 WMH mean number in infratentorial, periventricular, and juxtacortical areas.
- LPMs identified the periventricular regions as the sites with the highest probability of detecting T2 WMH in patients with CIS.
- Voxel-wise analysis of lesion distribution by diagnosis revealed a statistically significant association exclusively between the diagnosis of CIS and the PVLs.
Lapucci C, Saitta L, Bommarito G, et al. How much do periventricular lesions assist in distinguishing migraine with aura from CIS? [Published online ahead of print March 8, 2019]. Neurology. doi:10.1212/WNL.0000000000007266.