Zhao Xinle, You Mengyue, Ren Wenyu, Ji Lixin, Liu Yongbo, Lu Meng
Henan University of Chinese Medicine, Zhengzhou, China.
The Third Clinical School of Henan University of Chinese Medicine, Zhengzhou, China.
Front Neurol. 2025 Apr 23;16:1467578. doi: 10.3389/fneur.2025.1467578. eCollection 2025.
To systematically evaluate the diagnostic value of diffusion tensor imaging (DTI) for mild cognitive impairment (MCI) based on Meta-analysis.
Databases including PubMed, Web of Science, Cochrane Library, Embase, China National Knowledge Infrastructure (CNKI), Wanfang and VIP database were searched for literature on the use of DTI in studying MCI. The search was conducted from the inception of each database up to February 20, 2024. Literature was screened based on predefined inclusion and exclusion criteria, relevant data were extracted, and the quality of the included studies was assessed using the QUADAS-2 tool. Heterogeneity was evaluated using the Q-test and statistics. Fractional anisotropy (FA) values for different brain regions (frontal lobe, parietal lobe, temporal lobe, occipital lobe, fornix, hippocampus, parahippocampal gyrus, posterior cingulum, posterior limb of the internal capsule, uncinate fasciculus, inferior fronto-occipital fasciculus, superior longitudinal fasciculus, inferior longitudinal fasciculus, genu and splenium of the corpus callosum) were extracted from the MCI and normal control (NC) groups. Meta-analysis software (Review Manager 5.4) was used to perform a pooled analysis of the eligible studies to obtain the weighted mean difference (WMD) and 95% confidence interval (95% CI).
A total of 76 studies were included (41 in English and 35 in Chinese). The overall pooled WMD and its 95% CI were -0.03 [-0.04, -0.03], with statistically significant differences in all brain regions except for the occipital lobe and the posterior limb of the internal capsule.
DTI technology can identify microstructural damage in the brain white matter of MCI patients, which holds significant implications for early diagnosis and intervention.
基于Meta分析系统评价扩散张量成像（DTI）对轻度认知障碍（MCI）的诊断价值。
检索包括PubMed、Web of Science、Cochrane图书馆、Embase、中国知网（CNKI）、万方和维普数据库在内的数据库，查找关于使用DTI研究MCI的文献。检索时间从每个数据库建库至2024年2月20日。根据预先设定的纳入和排除标准筛选文献，提取相关数据，并使用QUADAS - 2工具评估纳入研究的质量。采用Q检验和I²统计量评估异质性。从MCI组和正常对照组中提取不同脑区（额叶、顶叶、颞叶、枕叶、穹窿、海马、海马旁回、后扣带回、内囊后肢、钩束、额枕下束、上纵束、下纵束、胼胝体膝部和压部）的分数各向异性（FA）值。使用Meta分析软件（Review Manager 5.4）对符合条件的研究进行汇总分析，以获得加权平均差（WMD）和95%置信区间（95%CI）。
共纳入76项研究（英文41项，中文35项）。总体汇总WMD及其95%CI为 - 0.03[-0.04, - 0.03]，除枕叶和内囊后肢外，所有脑区均有统计学显著差异。
DTI技术可识别MCI患者脑白质的微观结构损伤，对早期诊断和干预具有重要意义。
