The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
Brain atrophy and lesion load predict long term disability in multiple sclerosis
Abstract
OBJECTIVE: To determine whether brain atrophy and lesion volumes predict subsequent 10 year clinical evolution in multiple sclerosis (MS). DESIGN: From eight MAGNIMS (MAGNetic resonance Imaging in MS) centres, we retrospectively included 261 MS patients with MR imaging at baseline and after 1-2 years, and Expanded Disability Status Scale (EDSS) scoring at baseline and after 10 years. Annualised whole brain atrophy, central brain atrophy rates and T2 lesion volumes were calculated. Patients were categorised by baseline diagnosis as primary progressive MS (n=77), clinically isolated syndromes (n=18), relapsing-remitting MS (n=97) and secondary progressive MS (n=69). Relapse onset patients were classified as minimally impaired (EDSS=0-3.5, n=111) or moderately impaired (EDSS=4-6, n=55) according to their baseline disability (and regardless of disease type). Linear regression models tested whether whole brain and central atrophy, lesion volumes at baseline, follow-up and lesion volume change predicted 10 year EDSS and MS Severity Scale scores. RESULTS: In the whole patient group, whole brain and central atrophy predicted EDSS at 10 years, corrected for imaging protocol, baseline EDSS and disease modifying treatment. The combined model with central atrophy and lesion volume change as MRI predictors predicted 10 year EDSS with R(2)=0.74 in the whole group and R(2)=0.72 in the relapse onset group. In subgroups, central atrophy was predictive in the minimally impaired relapse onset patients (R(2)=0.68), lesion volumes in moderately impaired relapse onset patients (R(2)=0.21) and whole brain atrophy in primary progressive MS (R(2)=0.34). CONCLUSIONS: This large multicentre study points to the complementary predictive value of atrophy and lesion volumes for predicting long term disability in MS.
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Cites
Diagnostic criteria for multiple sclerosis: 2005 revisions to the “McDonald Criteria”
Polman, C. H., Reingold, S. C., Edan, G., Filippi, M., Hartung, H., Kappos, L., Lublin, F. D., Metz, L. M., McFarland, H. F., O'Connor, P. W., et al. (2005) · Annals of Neurology · doi:10.1002/ana.20703 · Cited by 5,017
Self-citationAccurate, Robust, and Automated Longitudinal and Cross-Sectional Brain Change Analysis
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Self-citationMultiple Sclerosis Severity Score: Using disability and disease duration to rate disease severity
Roxburgh, R. H. S. R., Seaman, S. R., Masterman, T., Hensiek, A. E., Sawcer, S. J., Vukusic, S., Achiti, I., Confavreux, C., Coustans, M., le Page, E., et al. (2005) · Neurology · doi:10.1212/01.wnl.0000156155.19270.f8 · Cited by 963
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A longitudinal study of abnormalities on MRI and disability from multiple sclerosis
Brex, P. A., Ciccarelli, O., O'Riordan, J. I., Sailer, M., Thompson, A. J., & Miller, D. H. (2002) · New England Journal of Medicine · doi:10.1056/nejmoa011341 · Cited by 861
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Evidence of early cortical atrophy in MS: Relevance to white matter changes and disability
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Self-citationProgressive cerebral atrophy in multiple sclerosis A serial MRI study
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Focal thinning of the cerebral cortex in multiple sclerosis
Sailer, M. (2003) · Brain · doi:10.1093/brain/awg175 · Cited by 398
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Self-citationBrain health: time matters in multiple sclerosis
Giovannoni, G., Butzkueven, H., Dhib-Jalbut, S., Hobart, J., Kobelt, G., Pepper, G., Sormani, M. P., Thalheim, C., Traboulsee, A., & Vollmer, T. (2016) · Multiple Sclerosis and Related Disorders · doi:10.1016/j.msard.2016.07.003 · Cited by 458
Self-citationClinical Relevance of Brain Volume Measures in Multiple Sclerosis
De Stefano, N., Airas, L., Grigoriadis, N., Mattle, H. P., O’Riordan, J., Oreja-Guevara, C., Sellebjerg, F., Stankoff, B., Walczak, A., Wiendl, H., et al. (2014) · CNS Drugs · doi:10.1007/s40263-014-0140-z · Cited by 301
Self-citationAlemtuzumab CARE-MS II 5-year follow-up: Efficacy and safety findings
Coles, A. J., Cohen, J. A., Fox, E. J., Giovannoni, G., Hartung, H.-P., Havrdova, E., Schippling, S., Selmaj, K. W., Traboulsee, A., Compston, D. A. S., et al. (2017) · Neurology · doi:10.1212/wnl.0000000000004354 · Cited by 277
Alemtuzumab CARE-MS I 5-year follow-up: Durable efficacy in the absence of continuous MS therapy
Havrdova, E., Arnold, D. L., Cohen, J. A., Hartung, H.-P., Fox, E. J., Giovannoni, G., Schippling, S., Selmaj, K. W., Traboulsee, A., Compston, D. A. S., et al. (2017) · Neurology · doi:10.1212/wnl.0000000000004313 · Cited by 221
Metadata
- Authors
- Popescu, V., Agosta, F., Hulst, H. E., Sluimer, I. C., Knol, D. L., Sormani, M. P., Enzinger, C., Ropele, S., Alonso, J., Sastre-Garriga, J., Rovira, A., Montalban, X., Bodini, B., Ciccarelli, O., Khaleeli, Z., Chard, D. T., Matthews, L., Palace, J., Giorgio, A., De Stefano, N., Eisele, P., Gass, A., Polman, C. H., Uitdehaag, B. M. J., Messina, M. J., Comi, G., Filippi, M., Barkhof, F., Vrenken, H., & on behalf of the MAGNIMS Study Group
- Venue
- Journal of Neurology, Neurosurgery & Psychiatry
- Publisher
- BMJ
- Published
- 2013-03-23
- Volume
- 84
- Issue
- 10
- Pages
- 1082-1091
- ISSN
- 0022-3050 (ISSN-L)
- 1468-330X
- OpenAlex
- W2164832046
- Cited by
- 331
- References
- 38
- FWCI
- 16.01
- Type
- journal article
- Language
- en
- Open access
- closed
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- The paper
- Popescu, V., Agosta, F., Hulst, H. E., Sluimer, I. C., Knol, D. L., Sormani, M. P., Enzinger, C., Ropele, S., Alonso, J., Sastre-Garriga, J., Rovira, A., Montalban, X., Bodini, B., Ciccarelli, O., Khaleeli, Z., Chard, D. T., Matthews, L., Palace, J., Giorgio, A., . . . on behalf of the MAGNIMS Study Group. (2013). Brain atrophy and lesion load predict long term disability in multiple sclerosis. Journal of Neurology, Neurosurgery & Psychiatry. https://doi.org/10.1136/jnnp-2012-304094
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