Grey:white matter ratio at diagnosis and the risk of 10-year multiple sclerosis progression.
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| Title: | Grey:white matter ratio at diagnosis and the risk of 10-year multiple sclerosis progression. |
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| Authors: | Moccia, M., Quarantelli, M., Lanzillo, R., Cocozza, S., Carotenuto, A., Carotenuto, B., Alfano, B., Prinster, A., Triassi, M., Nardone, A., Palladino, R., Brunetti, A., Brescia Morra, V. |
| Source: | European Journal of Neurology. Jan2017, Vol. 24 Issue 1, p195-204. 10p. |
| Subjects: | Multiple sclerosis diagnosis, Multiple sclerosis risk factors, White matter (Nerve tissue), Gray matter (Nerve tissue), Magnetic resonance imaging of the brain, Neurodegeneration |
| 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. [ABSTRACT FROM AUTHOR] |
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| Database: | Psychology and Behavioral Sciences Collection |
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| 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. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 13515101 |
| DOI: | 10.1111/ene.13183 |
