ArticleJournal of neuroimaging : official journal of the American Society of Neuroimaging2020
Brain MRI Predicts Worsening Multiple Sclerosis Disability over 5 Years in the SUMMIT Study.
Article in Journal of neuroimaging : official journal of the American Society of Neuroimaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.
- Neuroimaging markers and disability scales in multiple sclerosis: A systematic review and meta-analysis.PloS one · 2024Pooled it
- MRI Markers of EDSS ≥ 3 in Relapsing-Remitting Multiple Sclerosis: An Assessment of Lesion Burden, Brain Volumetry, and IVIM-DWI Metrics.Brain sciences · 2026Article
- Machine Learning Analysis Applied to Prediction of Early Progression Independent of Relapse Activity in Multiple Sclerosis Patients.European journal of neurology · 2025Article
- A systematic literature review of the association between global brain atrophy and the Expanded Disability Status Scale score in people with multiple sclerosis.Therapeutic advances in neurological disorders · 2025Review
- Relationship between brain atrophy and disability in a multi-site multiple sclerosis registry.BMJ neurology open · 2025Article
- Polygenic risk score association with multiple sclerosis susceptibility and phenotype in Europeans.Brain : a journal of neurology · 2023Article
- "Stable" vs. "silent progressive multiple sclerosis": a real-world retrospective clinical imaging Brazilian study.Arquivos de neuro-psiquiatria · 2022Article
- Disability Improvement Is Associated with Less Brain Atrophy Development in Multiple Sclerosis.AJNR. American journal of neuroradiology · 2020Article
- Serum neurofilament light chain in multiple sclerosis: from biological signal to clinically informed decision-making.Frontiers in neurologyReview
Corrections and comments
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Authors and funding
13 authors at 2 institutions in 1 country.
Funding
Abstract
background and purposeBrain MRI-derived lesions and atrophy are related to multiple sclerosis (MS) disability. In the Serially Unified Multicenter MS Investigation (SUMMIT), from Brigham and Women's Hospital (BWH) and University of California, San Francisco (UCSF), we assessed whether MRI methodologic heterogeneity may limit the ability to pool multisite data sets to assess 5-year clinical-MRI associations.
methodsPatients with relapsing-remitting (RR) MS (n = 100 from each site) underwent baseline brain MRI and baseline and 5-year clinical evaluations. Patients were matched on sex (74 women each), age, disease duration, and Expanded Disability Status Scale (EDSS) score. MRI was performed with differences between sites in both acquisition (field strength, voxel size, pulse sequences), and postprocessing pipeline to assess brain parenchymal fraction (BPF) and T2 lesion volume (T2LV).
resultsThe UCSF cohort showed higher correlation than the BWH cohort between T2LV and disease duration. UCSF showed a higher inverse correlation between BPF and age than BWH. UCSF showed a higher inverse correlation than BWH between BPF and 5-year EDSS score. Both cohorts showed inverse correlations between BPF and T2LV, with no between-site difference. The pooled but not individual cohort data showed a link between a lower baseline BPF and the subsequent 5-year worsening in disability in addition to other stronger relationships in the data.
conclusionsMRI acquisition and processing differences may result in some degree of heterogeneity in assessing brain lesion and atrophy measures in patients with MS. Pooling of data across sites is beneficial to correct for potential biases in individual data sets.
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Registered trials
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