Association between MRI parameters and the MS severity scale: a 12 year follow-up study

Author:

Minneboo A1,Uitdehaag BMJ2,Jongen P3,Vrenken H1,Knol DL4,van Walderveen MAA5,Polman CH6,Castelijns JA1,Barkhof F1

Affiliation:

1. Department of Radiology, MS Center Amsterdam, VU University Medical Center, Amsterdam, The Netherlands

2. Department of Neurology, MS Center Amsterdam, VU University Medical Center, Amsterdam, The Netherlands; Department of Clinical Epidemiology and Biostatistics, VU University Medical Center, Amsterdam, The Netherlands

3. Multiple Sclerosis Centre Nijmegen, Nijmegen, The Netherlands

4. Department of Clinical Epidemiology and Biostatistics, VU University Medical Center, Amsterdam, The Netherlands

5. Department of Radiology, LUMC, Leiden, The Netherlands

6. Department of Neurology, MS Center Amsterdam, VU University Medical Center, Amsterdam, The Netherlands

Abstract

Background Several magnetic resonance imaging (MRI) parameters are known to be associated with short-term outcome in multiple sclerosis (MS) patients. MS-related disability typically progresses over decades, stressing the need for longer follow-up studies. Until now, these studies are relatively sparse and, therefore, the predictive value of MRI parameters for clinical disability remains largely unknown. Objective To assess the predictive value of brain MRI parameters, which are obtained during the first 3.3 years of the study for overall disease severity as measured by the MS Severity Score (MSSS) after 12.2 years follow-up. Methods Forty-six MS patients were included in the study. MRI parameters included both lesion loads and atrophy measures. Average and change parameters were calculated for MRI parameters and subsequently used as independent variables in regression models, while MSSS was the dependent variable. Results Follow-up (FU) was obtained in 43/46 patients (94%) and median expanded disability status scale (EDSS) score increased significantly from 2.5 to 4.0. At last FU median MSSS was 4.3 (range 2.2–6.9). In univariate analyses, both change and cross-sectional T1-hypointense lesion load and ventricular atrophy measures were associated with MSSS. A multiple regression model included the change parameter of hypointense T1-lesion load (BHLL). This model explained 20% of variance in MSSS, which increased to 34% when type of disease (relapsing remitting or secondary progressive), age, and sex were entered additionally. Conclusion MRI measures of axonal loss are associated with higher overall disease severity in MS patients.

Publisher

SAGE Publications

Subject

Clinical Neurology,Neurology

Cited by 29 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3