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Brain atrophy and lesion load predict long term disability in multiple sclerosis
Brain atrophy and lesion load predict long term disability in multiple sclerosis
- Source :
- 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 2013, ' Brain atrophy and lesion load predict long term disability in multiple sclerosis ', Journal of Neurology, Neurosurgery and Psychiatry, vol. 84, no. 10, pp. 1082-1091 . https://doi.org/10.1136/jnnp-2012-304094, Journal of Neurology, Neurosurgery and Psychiatry, 84(10), 1082-1091. BMJ Publishing Group
- Publication Year :
- 2013
-
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.
- Subjects :
- Adult
Male
medicine.medical_specialty
White matter
Lesion
Disability Evaluation
Atrophy
Multiple Sclerosis, Relapsing-Remitting
SDG 3 - Good Health and Well-being
immune system diseases
Internal medicine
Image Interpretation, Computer-Assisted
medicine
Humans
Longitudinal Studies
MULTIPLE SCLEROSIS
Retrospective Studies
Expanded Disability Status Scale
medicine.diagnostic_test
business.industry
Multiple sclerosis
Brain
Retrospective cohort study
Magnetic resonance imaging
Long term disability
Middle Aged
Multiple Sclerosis, Chronic Progressive
medicine.disease
Prognosis
Magnetic Resonance Imaging
nervous system diseases
Surgery
Psychiatry and Mental health
MULTIPLE SCLEROSIS, MRI
medicine.anatomical_structure
Cardiology
Linear Models
Female
Neurology (clinical)
medicine.symptom
business
MRI
Demyelinating Diseases
Subjects
Details
- Language :
- English
- ISSN :
- 00223050
- Database :
- OpenAIRE
- Journal :
- 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 2013, ' Brain atrophy and lesion load predict long term disability in multiple sclerosis ', Journal of Neurology, Neurosurgery and Psychiatry, vol. 84, no. 10, pp. 1082-1091 . https://doi.org/10.1136/jnnp-2012-304094, Journal of Neurology, Neurosurgery and Psychiatry, 84(10), 1082-1091. BMJ Publishing Group
- Accession number :
- edsair.doi.dedup.....48094bb4cedf575830ec4af121f65396
- Full Text :
- https://doi.org/10.1136/jnnp-2012-304094