基于纤维自动定量的弥散张量成像在阿尔茨海默病中的应用。

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Bo Yu, Zhongxiang Ding, Luoyu Wang, Qi Feng, Yifeng Fan, Xiufang Xu, Zhengluan Liao
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引用次数: 1

摘要

背景:神经影像学提示阿尔茨海默病(AD)进展中白质微结构受到严重影响。然而,白质微观结构的改变是否局限于特定区域,以及它们是否可以作为区分正常对照(NC)和AD的潜在生物标志物,这些都是未知的。方法:选取33例AD患者和25例NC患者进行自动纤维定量(AFQ)。共20根纤维束被平均分成100段,用于定量评估分数各向异性(FA)、平均扩散率(MD)、体积和曲率。为了进一步评价诊断价值,分别采用最大冗余最小(mRMR)和LASSO算法选择特征,计算每个受试者的Radscore,建立logistic回归模型,绘制ROC曲线,评估四种不同模型的预测能力。结果:AD患者的MD值明显高于健康人。差异主要集中在左扣带海马(HCC)、左钩带束(UF)和上纵束(SLF)。以20个纤维束的点向水平作为分类特征,MD指数对NC和AD的区分效果最好。结论:这些发现有助于了解AD的发病机制,并提示基于dti的AFQ分析异常白质有助于探讨AD的发病机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of Diffusion Tensor Imaging Based on Automatic Fiber Quantification in Alzheimer's Disease.

Background: Neuroimaging suggests that white matter microstructure is severely affected in Alzheimer's disease (AD) progression. However, whether alterations in white matter microstructure are confined to specific regions and whether they can be used as potential biomarkers to distinguish normal control (NC) from AD are unknown.

Methods: In this cross-sectional study, 33 cases of AD and 25 cases of NC were recruited for automatic fiber quantification (AFQ). A total of 20 fiber bundles were equally divided into 100 segments for quantitative assessment of fractional anisotropy (FA), mean diffusivity (MD), volume and curvature. In order to further evaluate the diagnostic value, the maximum redundancy minimum (mRMR) and LASSO algorithms were used to select features, calculate the Radscore of each subject, establish logistic regression models, and draw ROC curves, respectively, to assess the predictive power of four different models.

Results: There was a significant increase in the MD values in AD patients compared with healthy subjects. The differences were mainly located in the left cingulum hippocampus (HCC), left uncinate fasciculus (UF) and superior longitudinal fasciculus (SLF). The point-wise level of 20 fiber bundles was used as a classification feature, and the MD index exhibited the best performance to distinguish NC from AD.

Conclusion: These findings contribute to the understanding of the pathogenesis of AD and suggest that abnormal white matter based on DTI-based AFQ analysis is helpful to explore the pathogenesis of AD.

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来源期刊
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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