This nine-year follow-up study aimed to identify clinical and/or MRI predictors of long-term progression in a large group of people with MS. 241 people with relapsing remitting MS (RRMS) were included in the study. The researchers used a fully-automated, operator-independent, multi-parameter segmentation method for the volumetric MRI metrics. Clinical progression was evaluated as defined by conversion from RR to a secondary progressive (SP) disease course, progression of EDSS and time to reach EDSS 4. The results demonstrated that conversion from RR to SP, progression of EDSS, achievement of EDSS 4 and time to reach EDSS 4 were all predicted by baseline grey matter (GM) volume, and except for progression of EDSS, by baseline EDSS. Therefore, grey matter volume and EDSS are the best long-term predictors of disease progression in people with RRMS with a relatively long and mild disease.
Authors: Lavorgna L, Bonavita S
Source: Mult Scler. 2013 Jul 9. [Epub ahead of print]
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