Quantitative signal properties from standardized MRIs correlate with multiple sclerosis disability.

Matthew R BrierAbraham Z SnyderAaron TanenbaumRichard A RudickElizabeth FisherStephen JonesJoshua S ShimonyAnne H CrossTammie L S BenzingerRobert T Naismith

Published in: Annals of clinical and translational neurology (2021)

These results support the notion that non-lesional abnormalities correlate more strongly with MS-related disability than lesion burden and provide new insight into the basis of abnormalities in NA WM. Non-lesional abnormalities distinguish relapsing from progressive MS but do not distinguish between progressive subtypes suggesting a common progressive pathophysiology. Image intensity parameters and existing biomarkers each independently correlate with MS-related disability.

Keyphrases

multiple sclerosis
white matter
deep learning
mass spectrometry
high intensity
high resolution
machine learning
risk factors
rheumatoid arthritis
systemic lupus erythematosus
drug induced
disease activity