School of Medicine, Iran University of Medical Sciences, Tehran, Iran; School of Medicine, Tehran University of Medical Science, Tehran, Iran.
Student Research Committee, School of Medicine, Kurdistan University of Medical Science, Sanandaj, Iran.
J Clin Neurosci. 2024 Jan;119:1-7. doi: 10.1016/j.jocn.2023.11.014. Epub 2023 Nov 10.
Considering the different results regarding the correlation between Magnetic Resonance Imaging (MRI) structural measures and cognitive dysfunction in patients with MS, we aimed to perform a systematic review and meta-analysis study to investigate the correlation between T1 and T2 weighted lesions and cognitive scores to find the most robust MRI markers for cognitive function in MS population.
The literature of this paper was identified through a comprehensive search of electronic datasets including PubMed, Scopus, Web of Science, and Embase in February 2022. Studies that reported the correlation between cognitive status and T1 and T2 weighted lesions in MS patients were selected.
21 studies with a total of 3771 MS patients with mean ages ranging from 30 to 57 years were entered into our study. Our analysis revealed that the volume of T1 lesions was significantly correlated with Symbol Digit Modality test (SDMT) (r: -0.30, 95 %CI: -0.59, -0.01) and Paced Auditory Serial-Addition Task (PASAT) scores (r: -0.23, 95 %CI: -0.36, -0.10). We investigated the correlation between T2 lesions and cognitive scores. The pooled estimates of z scores were significant for SDMT (r: -0.27, 95 %CI: -0.51, -0.03) and PASAT (r: -0.27, 95 %CI: -0.41, -0.13).
In conclusion, our systematic review and meta-analysis study provides strong evidence of the correlation between T1 and T2 lesions and cognitive function in MS patients. Further research is needed to explore the potential mechanisms underlying this relationship and to develop targeted interventions to improve cognitive outcomes in MS patients.
鉴于磁共振成像（MRI）结构测量与 MS 患者认知功能障碍之间的相关性存在不同结果，我们旨在进行系统评价和荟萃分析研究，以调查 T1 和 T2 加权病变与认知评分之间的相关性，以找到 MS 人群认知功能的最可靠 MRI 标志物。
本文的文献通过全面搜索电子数据库（包括 2022 年 2 月的 PubMed、Scopus、Web of Science 和 Embase）来确定。选择了报告 MS 患者认知状态与 T1 和 T2 加权病变之间相关性的研究。
共有 21 项研究纳入了总计 3771 名年龄在 30 至 57 岁之间的 MS 患者，我们的分析表明 T1 病变体积与符号数字模态测验（SDMT）（r：-0.30，95%CI：-0.59，-0.01）和听觉连续加法测验（PASAT）评分（r：-0.23，95%CI：-0.36，-0.10）显著相关。我们研究了 T2 病变与认知评分之间的相关性。SDMT（r：-0.27，95%CI：-0.51，-0.03）和 PASAT（r：-0.27，95%CI：-0.41，-0.13）的 z 分数合并估计值具有统计学意义。
总之，我们的系统评价和荟萃分析研究为 MS 患者 T1 和 T2 病变与认知功能之间的相关性提供了有力证据。需要进一步研究探索这种关系的潜在机制，并开发针对 MS 患者的认知结果的靶向干预措施。
