Grey: white matter ratio at diagnosis and the risk of 10-year multiple sclerosis progression
Author(s)
Type
Journal Article
Abstract
Background and purpose: Grey matter (GM) and white matter (WM) are both affected in multiple sclerosis (MS). WM is predominantly involved in inflammatory demyelination of relapsing–remitting MS (RRMS), whereas GM is predominantly involved in neurodegenerative processes of secondary progressive MS. Thus, we investigated the ratio between GM and WM volumes in predicting MS evolution.
Methods: The present 10-year retrospective cohort study included 149 patients with newly-diagnosed RRMS, undergoing magnetic resonance imaging for segmentation and brain volumetry. The ratio between GM and normal-appearing WM (NAWM) volumes was calculated for each subject. Outcome measures of interest were Expanded Disability Status Scale (EDSS) progression, reaching EDSS 4.0 and conversion to secondary progressive (SP) MS.
Results: During a period of 10.6 ± 2.4 years, a median 1.5 EDSS progression was observed (range 0–5.5), 54 subjects (36.2%) reached EDSS 4.0 and 30 subjects (20.1%) converted to SP. With ordinal logistic regression models, EDSS progression was associated with GM:NAWM ratio (coefficient, −2.918; 95% CI, −4.739–1.097). With Cox regression models, subjects with higher GM:NAWM ratio at diagnosis had a 90% lower rate of reaching EDSS 4.0 (hazard ratio, 0.111; 95% CI, 0.020–0.609) and of converting to secondary progressive MS (hazard ratio, 0.017; 95% CI, 0.001–0.203) compared with subjects with lower GM:NAWM ratio.
Conclusions: The GM:NAWM ratio is a predictor of disability progression and of SP conversion in subjects with newly diagnosed RRMS, suggesting that GM and NAWM are variably affected in relation to disease evolution from the early phases of MS.
Methods: The present 10-year retrospective cohort study included 149 patients with newly-diagnosed RRMS, undergoing magnetic resonance imaging for segmentation and brain volumetry. The ratio between GM and normal-appearing WM (NAWM) volumes was calculated for each subject. Outcome measures of interest were Expanded Disability Status Scale (EDSS) progression, reaching EDSS 4.0 and conversion to secondary progressive (SP) MS.
Results: During a period of 10.6 ± 2.4 years, a median 1.5 EDSS progression was observed (range 0–5.5), 54 subjects (36.2%) reached EDSS 4.0 and 30 subjects (20.1%) converted to SP. With ordinal logistic regression models, EDSS progression was associated with GM:NAWM ratio (coefficient, −2.918; 95% CI, −4.739–1.097). With Cox regression models, subjects with higher GM:NAWM ratio at diagnosis had a 90% lower rate of reaching EDSS 4.0 (hazard ratio, 0.111; 95% CI, 0.020–0.609) and of converting to secondary progressive MS (hazard ratio, 0.017; 95% CI, 0.001–0.203) compared with subjects with lower GM:NAWM ratio.
Conclusions: The GM:NAWM ratio is a predictor of disability progression and of SP conversion in subjects with newly diagnosed RRMS, suggesting that GM and NAWM are variably affected in relation to disease evolution from the early phases of MS.
Date Issued
2016-11-01
Date Acceptance
2016-09-16
Citation
European Journal of Neurology, 2016, 24 (1), pp.195-204
ISSN
1351-5101
Publisher
Wiley
Start Page
195
End Page
204
Journal / Book Title
European Journal of Neurology
Volume
24
Issue
1
Copyright Statement
© 2016 EAN. This is the accepted version of the following article: Moccia, M., Quarantelli, M., Lanzillo, R., Cocozza, S., Carotenuto, A., Carotenuto, B., Alfano, B., Prinster, A., Triassi, M., Nardone, A., Palladino, R., Brunetti, A. and Brescia Morra, V. (2017), Grey:white matter ratio at diagnosis and the risk of 10-year multiple sclerosis progression. Eur J Neurol, 24: 195–204. doi:10.1111/ene.13183, which has been published in final form at https://dx.doi.org/10.1111/ene.13183
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000392806700018&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Subjects
Science & Technology
Life Sciences & Biomedicine
Clinical Neurology
Neurosciences
Neurosciences & Neurology
atrophy
grey
magnetic resonance imaging
multiple sclerosis
progressive
white
RESONANCE-IMAGING PREDICTORS
LONG-TERM DISABILITY
BRAIN ATROPHY
GRAY-MATTER
FOLLOW-UP
COGNITIVE IMPAIRMENT
INTERFERON BETA-1A
LESION LOAD
SEGMENTATION
PATHOLOGY
Neurology & Neurosurgery
1103 Clinical Sciences
1109 Neurosciences
Publication Status
Published