Multicenter validation of automated detection of paramagnetic rim lesions on brain MRI in multiple sclerosis
Journal of Neuroimaging2024Vol. 34(6), pp. 750–757
Citations Over TimeTop 12% of 2024 papers
L. Chen, Zheng Ren, Kelly Clark, Carolyn Lou, Fang Liu, Quy Cao, Abigail R. Manning, Melissa L. Martin, Elaina Luskin, Carly M. O’Donnell, Christina Azevedo, Peter A. Calabresi, Léorah Freeman, Roland G. Henry, Erin E. Longbrake, Jiwon Oh, Nico Papinutto, Michel Bilello, Jae W. Song, Marwa Kaisey, Nancy L. Sicotte, Daniel S. Reich, Andrew Solomon, Daniel Ontaneda, Pascal Sati, Martina Absinta, Matthew K. Schindler, Russell T. Shinohara, the NAIMS Cooperative
Abstract
Our study demonstrated APRL's capability to differentiate between PRLs and lesions without paramagnetic rims in a multicenter study. Automated identification of PRLs offers greater efficiency over manual identification and could facilitate large-scale assessments of PRLs in clinical trials.
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