Subtyping relapsing–remitting multiple sclerosis using structural MRI

Subtyping relapsing–remitting multiple sclerosis (RRMS) patients may help predict disease progression and triage for treatment. We aimed to subtype RRMS by structural MRI investigate their clinical significances. 155 relapse-remitting MS 210 healthy controls (HC) were retrospectively enrolled with 3DT1, diffusion tensor imaging (DTI) resting-state functional MRI. Z scores of cortical deep gray matter volumes (CGMV DGMV) white fractional anisotropy (WM-FA) in calculated based on means standard deviations HC. defined as “normal” (? 2 < z both GMV WM-FA), DGM (z DGMV ? 2), DGM-plus types [CGMV or WM-FA] 2) according combinations compared Expanded disability status scale (EDSS), cognitive measurements, conversion rate secondary progressive (SPMS) at 5-year follow-up between subtypes. 77 (49.7%) type, 37 (23.9%) type 34 (21.9%) type. 7 (4.5%) who not categorized into the above excluded. had highest EDSS. Both more severe impairment than Only showed decreased measures A higher ratio SPMS (55%) was identified (14%, p 0.001) (20%, = 0.005). Three MRI-subtypes distinct features different prognosis.