Comparing lesion volume dynamics in MS and NMOSD during remission with machine learning-based segmentation

Key Points

• Lesion volume dynamics differ significantly between multiple sclerosis (MS) and neuromyelitis optica spectrum disorder (NMOSD).
• Key evidence highlights a 35% variance in lesion sizes during remission, emphasizing the importance of monitoring.
• Machine learning-based segmentation methods were used for detailed imaging analysis, enhancing accuracy in lesion volume measurement.
• This study's findings may lead to improved diagnostic strategies, though external validation in larger populations is needed.