Comparing Lesion Volume Dynamics Between Multiple Sclerosis and Neuromyelitis Optica Spectrum Disorder During Remission Using Machine-Learning Segmentation.

ABSTRACT:

Background and purpose

Multiple sclerosis (MS) and neuromyelitis optica spectrum disorder (NMOSD) are inflammatory demyelinating conditions of the central nervous system that have distinct pathological mechanisms. There is a paucity of studies comparing the accumulation of subclinical lesions between MS and NMOSD, especially during the clinical remission period. Recent advances in neuroimaging techniques, those particularly involving the use of machine learning (ML) methods for lesion segmentation, have provided new opportunities to quantitatively assess the volumes of brain lesions and how they change over time. In this study, we aimed to use ML-based lesion segmentation methods to measure differences in lesion volumes and their changes during the remission period between patients

SUBMITTER: Hong SG 

PROVIDER: S-EPMC12411297 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature