Suppr超能文献

脑 MRI 预测 SUMMIT 研究中 5 年内多发性硬化症残疾恶化。

Brain MRI Predicts Worsening Multiple Sclerosis Disability over 5 Years in the SUMMIT Study.

机构信息

Department of Neurology, Brigham and Women's Hospital, Laboratory for Neuroimaging Research, Partners MS Center, Harvard Medical School, Boston, MA.

Department of Radiology, Brigham and Women's Hospital, Laboratory for Neuroimaging Research, Partners MS Center, Harvard Medical School, Boston, MA.

出版信息

J Neuroimaging. 2020 Mar;30(2):212-218. doi: 10.1111/jon.12688. Epub 2020 Jan 29.

Abstract

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.

摘要

背景与目的

脑 MRI 病变和萎缩与多发性硬化症(MS)的残疾有关。在 Brigham 和 Women's Hospital(BWH)和加利福尼亚大学旧金山分校(UCSF)的连续统一多中心 MS 研究(SUMMIT)中,我们评估了 MRI 方法学的异质性是否会限制汇总多站点数据集以评估 5 年临床-MRI 关联的能力。

方法

100 名缓解-复发型(RR)MS 患者(每个站点 74 名女性)接受了基线脑 MRI 和基线及 5 年临床评估。患者按性别(每个站点 74 名女性)、年龄、疾病持续时间和扩展残疾状况量表(EDSS)评分进行匹配。MRI 在采集(场强、体素大小、脉冲序列)和后处理管道方面存在站点间差异,以评估脑实质分数(BPF)和 T2 病变体积(T2LV)。

结果

UCSF 队列的 T2LV 与疾病持续时间之间的相关性高于 BWH 队列。UCSF 队列的 BPF 与年龄呈负相关,高于 BWH 队列。UCSF 队列的 BPF 与 5 年 EDSS 评分之间的负相关高于 BWH 队列。两个队列的 BPF 与 T2LV 之间均呈负相关,且站点间无差异。虽然个体队列的数据没有显示,但综合数据显示基线 BPF 较低与随后 5 年残疾恶化之间存在关联,此外数据中还存在其他更强的关系。

结论

MRI 采集和处理差异可能导致评估 MS 患者脑病变和萎缩指标存在一定程度的异质性。跨站点的数据汇总有助于纠正单个数据集的潜在偏差。

相似文献

1
Brain MRI Predicts Worsening Multiple Sclerosis Disability over 5 Years in the SUMMIT Study.
J Neuroimaging. 2020 Mar;30(2):212-218. doi: 10.1111/jon.12688. Epub 2020 Jan 29.
2
MRI phenotypes based on cerebral lesions and atrophy in patients with multiple sclerosis.
J Neurol Sci. 2014 Nov 15;346(1-2):250-4. doi: 10.1016/j.jns.2014.08.047. Epub 2014 Sep 6.
3
Predicting clinical progression in multiple sclerosis with the magnetic resonance disease severity scale.
Arch Neurol. 2008 Nov;65(11):1449-53. doi: 10.1001/archneur.65.11.1449.
4
A two-year study using cerebral gray matter volume to assess the response to fingolimod therapy in multiple sclerosis.
J Neurol Sci. 2017 Dec 15;383:221-229. doi: 10.1016/j.jns.2017.10.019. Epub 2017 Oct 16.
6
Early neurofilament light and glial fibrillary acidic protein levels improve predictive models of multiple sclerosis outcomes.
Mult Scler Relat Disord. 2023 Jun;74:104695. doi: 10.1016/j.msard.2023.104695. Epub 2023 Apr 2.
7
Prognostic value of single-subject grey matter networks in early multiple sclerosis.
Brain. 2024 Jan 4;147(1):135-146. doi: 10.1093/brain/awad288.
8
Exploring the effect of glatiramer acetate on cerebral gray matter atrophy in multiple sclerosis.
J Neurol Sci. 2023 Jan 15;444:120501. doi: 10.1016/j.jns.2022.120501. Epub 2022 Nov 18.
9
Quantitative MRI analysis of cerebral lesions and atrophy in post-partum patients with multiple sclerosis.
J Neurol Sci. 2018 Sep 15;392:94-99. doi: 10.1016/j.jns.2018.06.025. Epub 2018 Jun 30.
10
A semiautomated measure of whole-brain atrophy in multiple sclerosis.
J Neurol Sci. 2003 Apr 15;208(1-2):57-65. doi: 10.1016/s0022-510x(02)00425-2.

引用本文的文献

1
Relationship between brain atrophy and disability in a multi-site multiple sclerosis registry.
BMJ Neurol Open. 2025 Jul 22;7(2):e001126. doi: 10.1136/bmjno-2025-001126. eCollection 2025.
2
A systematic literature review of the association between global brain atrophy and the Expanded Disability Status Scale score in people with multiple sclerosis.
Ther Adv Neurol Disord. 2025 Jul 18;18:17562864241303681. doi: 10.1177/17562864241303681. eCollection 2025.
3
Neuroimaging markers and disability scales in multiple sclerosis: A systematic review and meta-analysis.
PLoS One. 2024 Dec 5;19(12):e0312421. doi: 10.1371/journal.pone.0312421. eCollection 2024.
5
"Stable" vs. "silent progressive multiple sclerosis": a real-world retrospective clinical imaging Brazilian study.
Arq Neuropsiquiatr. 2022 Apr;80(4):405-409. doi: 10.1590/0004-282X-ANP-2020-0234.
6
Disability Improvement Is Associated with Less Brain Atrophy Development in Multiple Sclerosis.
AJNR Am J Neuroradiol. 2020 Sep;41(9):1577-1583. doi: 10.3174/ajnr.A6684. Epub 2020 Aug 6.

本文引用的文献

1
MRI phenotypes in MS: Longitudinal changes and miRNA signatures.
Neurol Neuroimmunol Neuroinflamm. 2019 Feb 14;6(2):e530. doi: 10.1212/NXI.0000000000000530. eCollection 2019 Mar.
4
Progression of regional grey matter atrophy in multiple sclerosis.
Brain. 2018 Jun 1;141(6):1665-1677. doi: 10.1093/brain/awy088.
5
Multiple Sclerosis: Mechanisms and Immunotherapy.
Neuron. 2018 Feb 21;97(4):742-768. doi: 10.1016/j.neuron.2018.01.021.
7
Volumetric Analysis from a Harmonized Multisite Brain MRI Study of a Single Subject with Multiple Sclerosis.
AJNR Am J Neuroradiol. 2017 Aug;38(8):1501-1509. doi: 10.3174/ajnr.A5254. Epub 2017 Jun 22.
8
Gradient nonlinearity effects on upper cervical spinal cord area measurement from 3D T -weighted brain MRI acquisitions.
Magn Reson Med. 2018 Mar;79(3):1595-1601. doi: 10.1002/mrm.26776. Epub 2017 Jun 15.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验