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Voxelwise analysis of conventional magnetic resonance imaging to predict future disability in early relapsing-remitting multiple sclerosis.

Authors :
Wybrecht D
Reuter F
Zaaraoui W
Faivre A
Crespy L
Rico A
Malikova I
Confort-Gouny S
Soulier E
Cozzone PJ
Pelletier J
Ranjeva JP
Audoin B
Source :
Multiple sclerosis (Houndmills, Basingstoke, England) [Mult Scler] 2012 Nov; Vol. 18 (11), pp. 1585-91. Date of Electronic Publication: 2012 Mar 27.
Publication Year :
2012

Abstract

Background: The ability of conventional magnetic resonance imaging (MRI) to predict subsequent physical disability and cognitive deterioration after a clinically isolated syndrome (CIS) is weak.<br />Objectives: We aimed to investigate whether conventional MRI changes over 1 year could predict cognitive and physical disability 5 years later in CIS. We performed analyses using a global approach (T(2) lesion load, number of T(2) lesions), but also a topographic approach.<br />Methods: This study included 38 patients with a CIS. At inclusion, 10 out of 38 patients fulfilled the 2010 revised McDonald's criteria for the diagnosis of multiple sclerosis. Expanded Disability Status Scale (EDSS) evaluation was performed at baseline, year 1 and year 5, and cognitive evaluation at baseline and year 5. T(2)-weighted MRI was performed at baseline and year 1. We used voxelwise analysis to analyse the predictive value of lesions location for subsequent disability.<br />Results: Using the global approach, no correlation was found between MRI and clinical data. The occurrence or growth of new lesions in the brainstem was correlated with EDSS changes over the 5 years of follow-up. The occurrence or growth of new lesions in cerebellum, thalami, corpus callosum and frontal lobes over 1 year was correlated with cognitive impairment at 5 years.<br />Conclusion: The assessment of lesion location at the first stage of multiple sclerosis may be of value to predict future clinical disability.

Details

Language :
English
ISSN :
1477-0970
Volume :
18
Issue :
11
Database :
MEDLINE
Journal :
Multiple sclerosis (Houndmills, Basingstoke, England)
Publication Type :
Academic Journal
Accession number :
22454097
Full Text :
https://doi.org/10.1177/1352458512442991