Brain MRI Predicts Worsening Multiple Sclerosis Disability over 5 Years in the SUMMIT Study.
MRI
Multiple sclerosis
brain
disability
multicenter study
neuroimaging
Journal
Journal of neuroimaging : official journal of the American Society of Neuroimaging
ISSN: 1552-6569
Titre abrégé: J Neuroimaging
Pays: United States
ID NLM: 9102705
Informations de publication
Date de publication:
03 2020
03 2020
Historique:
received:
19
11
2019
revised:
16
01
2020
accepted:
16
01
2020
pubmed:
30
1
2020
medline:
15
12
2020
entrez:
30
1
2020
Statut:
ppublish
Résumé
Brain 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. Patients 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). The 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. MRI 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.
Sections du résumé
BACKGROUND AND PURPOSE
Brain 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.
METHODS
Patients 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).
RESULTS
The 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.
CONCLUSIONS
MRI 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.
Identifiants
pubmed: 31994814
doi: 10.1111/jon.12688
pmc: PMC7194808
mid: NIHMS1580871
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
212-218Subventions
Organisme : NINDS NIH HHS
ID : R35 NS111644
Pays : United States
Informations de copyright
© 2020 by the American Society of Neuroimaging.
Références
Mult Scler. 2017 Jan;23(1):51-61
pubmed: 27053635
Health Technol Assess. 2016 Oct;20(81):1-48
pubmed: 27817792
Neuroimage. 2016 Jul 1;134:281-294
pubmed: 27039700
Neuroimage Clin. 2015 Jul 02;8:606-10
pubmed: 26199872
Neurology. 2014 Jul 15;83(3):278-86
pubmed: 24871874
PLoS One. 2018 Nov 8;13(11):e0206939
pubmed: 30408094
Magn Reson Med. 2018 Mar;79(3):1595-1601
pubmed: 28617996
Mult Scler. 2004 Aug;10(4):402-6
pubmed: 15327037
Curr Opin Neurol. 2012 Aug;25(4):402-9
pubmed: 22691759
Neurol Neuroimmunol Neuroinflamm. 2019 Feb 14;6(2):e530
pubmed: 30800720
Mult Scler Relat Disord. 2015 Mar;4(2):95-103
pubmed: 25787185
J Neuroimaging. 2015 Sep-Oct;25(5):721-7
pubmed: 25727700
J Magn Reson Imaging. 2002 Feb;15(2):203-9
pubmed: 11836778
Neuron. 2018 Feb 21;97(4):742-768
pubmed: 29470968
Lancet Neurol. 2006 Mar;5(3):213-20
pubmed: 16488376
J Neuroimaging. 2015 Mar-Apr;25(2):191-199
pubmed: 25523616
J Neuroimaging. 2011 Apr;21(2):e50-6
pubmed: 19888926
JAMA Neurol. 2017 Jan 1;74(1):100-109
pubmed: 27893883
PLoS One. 2012;7(6):e38234
pubmed: 22675527
J Neuroimaging. 2017 Jul;27(4):365-371
pubmed: 28194831
Ann Neurol. 2011 Feb;69(2):292-302
pubmed: 21387374
Mult Scler. 2002 Oct;8(5):420-9
pubmed: 12356210
J Neuroimaging. 2016 Jan-Feb;26(1):62-7
pubmed: 26118637
Brain Behav. 2018 Aug;8(8):e01068
pubmed: 30019857
Brain. 2018 Jun 1;141(6):1665-1677
pubmed: 29741648
AJNR Am J Neuroradiol. 2017 Aug;38(8):1501-1509
pubmed: 28642263
J Neurol Sci. 2003 Dec 15;216(1):169-77
pubmed: 14607319
J Neurol. 2016 Mar;263(3):531-8
pubmed: 26754005
Neuroimage. 2009 May 15;46(1):177-92
pubmed: 19233293
BMC Neurol. 2015 Mar 13;15:32
pubmed: 25879588
J Neuroimaging. 2015 Jan-Feb;25(1):62-7
pubmed: 24816394
AJNR Am J Neuroradiol. 2004 Jun-Jul;25(6):985-96
pubmed: 15205136
Neuroimage Clin. 2013 Aug 13;3:171-9
pubmed: 24179861
Eur J Radiol. 2015 Aug;84(8):1564-1568
pubmed: 26044294
Ann Neurol. 2014 Jan;75(1):43-9
pubmed: 24006277
J Neurol Sci. 2014 Nov 15;346(1-2):250-4
pubmed: 25220114
Neuroimage. 2016 Nov 15;142:188-197
pubmed: 27431758
Mult Scler. 2018 Oct;24(11):1485-1498
pubmed: 28847219
Neuroimage. 2015 Oct 1;119:81-8
pubmed: 26093330
Brain. 2008 Mar;131(Pt 3):808-17
pubmed: 18234696