MRI features and disability in multiple sclerosis: A systematic review and meta-analysis

IF 3 3区医学 Q2 CLINICAL NEUROLOGY Journal of Neuroradiology Pub Date : 2024-02-01 DOI:10.1016/j.neurad.2023.11.007

Fardin Nabizadeh , Rasa Zafari , Mobin Mohamadi , Tahereh Maleki , Mohammad Sadegh Fallahi , Nazanin Rafiei

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Abstract

Background

In this systematic review and meta-analysis, we aimed to investigate the correlation between disability in patients with Multiple sclerosis (MS) measured by the Expanded Disability Status Scale (EDSS) and brain Magnetic Resonance Imaging (MRI) features to provide reliable results on which characteristics in the MRI can predict disability and prognosis of the disease.

Methods

A systematic literature search was performed using three databases including PubMed, Scopus, and Web of Science. The selected peer-reviewed studies must report a correlation between EDSS scores and MRI features. The correlation coefficients of included studies were converted to the Fisher's z scale, and the results were pooled.

Results

Overall, 105 studies A total of 16,613 patients with MS entered our study. We found no significant correlation between total brain volume and EDSS assessment (95 % CI: -0.37 to 0.08; z-score: -0.15). We examined the potential correlation between the volume of T1 and T2 lesions and the level of disability. A positive significant correlation was found (95 % CI: 0.19 to 0.43; z-score: 0.31), (95 % CI: 0.17 to 0.33; z-score: 0.25). We observed a significant correlation between white matter volume and EDSS score in patients with MS (95 % CI: -0.37 to -0.03; z-score: -0.21). Moreover, there was a significant negative correlation between gray matter volume and disability (95 % CI: -0.025 to -0.07; z-score: -0.16).

Conclusion

In conclusion, this systematic review and meta-analysis revealed that disability in patients with MS is linked to extensive changes in different brain regions, encompassing gray and white matter, as well as T1 and T2 weighted MRI lesions.

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多发性硬化症的 MRI 特征与残疾：系统回顾和荟萃分析。

背景：在这篇系统性综述和荟萃分析中，我们旨在研究多发性硬化症（MS）患者通过扩展残疾状况量表（EDSS）测量的残疾程度与脑部磁共振成像（MRI）特征之间的相关性，从而为磁共振成像中哪些特征可以预测残疾程度和疾病预后提供可靠的结果：使用 PubMed、Scopus 和 Web of Science 等三个数据库进行了系统的文献检索。所选的同行评审研究必须报告 EDSS 评分与 MRI 特征之间的相关性。将纳入研究的相关系数转换成费雪z标度，并对结果进行汇总：共有 105 项研究，16613 名多发性硬化症患者参与了研究。我们发现大脑总体积与 EDSS 评估之间无明显相关性（95 % CI：-0.37 至 0.08；z 值：-0.15）。我们研究了 T1 和 T2 病变体积与残疾程度之间的潜在相关性。结果发现两者之间存在正相关（95 % CI：0.19 至 0.43；z-评分：0.31）和负相关（95 % CI：0.17 至 0.33；z-评分：0.25）。我们观察到多发性硬化症患者的白质体积与 EDSS 评分之间存在明显的相关性（95 % CI：-0.37 至 -0.03；z 评分：-0.21）。此外，灰质体积与残疾之间存在明显的负相关（95 % CI：-0.025 至 -0.07；z 评分：-0.16）：总之，该系统综述和荟萃分析表明，多发性硬化症患者的残疾与不同脑区的广泛变化有关，包括灰质和白质，以及T1和T2加权磁共振成像病变。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Neuroradiology 医学-核医学

CiteScore

6.10

自引率

5.70%

发文量

142

审稿时长

6-12 weeks

期刊介绍： The Journal of Neuroradiology is a peer-reviewed journal, publishing worldwide clinical and basic research in the field of diagnostic and Interventional neuroradiology, translational and molecular neuroimaging, and artificial intelligence in neuroradiology. The Journal of Neuroradiology considers for publication articles, reviews, technical notes and letters to the editors (correspondence section), provided that the methodology and scientific content are of high quality, and that the results will have substantial clinical impact and/or physiological importance.