Statistical Parametric Mapping and Voxel-Based Specific Regional Analysis System for Alzheimer's Disease (VSRAD): Principles and Clinical Applications.

IF 2.8 3区 医学 Q3 NEUROSCIENCES
Shinji Yamamoto, Nobukiyo Yoshida, Noriko Sakurai, Yukinori Okada, Norikazu Ohno, Masayuki Satoh, Koji Takeshita, Masanori Ishida, Kazuhiro Saito
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Abstract

Background: The voxel-based specific regional analysis system for Alzheimer's disease (VSRAD) allows quantitative evaluation of the degree of an individual's brain atrophy through statistical comparison of brain magnetic resonance imaging (MRI) of their brain to a normative database of healthy Japanese individuals. Currently, the VSRAD is used in routine clinical practice in the diagnosis of Alzheimer's disease (AD) and dementia with Lewy bodies (DLB). Recent studies using VSRAD have explored its utility in the assessment of brain atrophy associated with various conditions, including diabetes, oral health status, and olfactory dysfunction. This review summarizes the principles of the VSRAD and its foundational method, voxel-based morphometry (VBM), and their clinical and research applications. Methods: This narrative review was conducted by performing a literature search of PubMed to identify articles regarding VBM and the VSRAD that were published between 2005 and 2025. Results: VSRAD yields four indices for quantifying the severity and extent of gray matter atrophy, especially in the medial temporal lobe. Studies have demonstrated its high diagnostic accuracy in distinguishing among AD, mild cognitive impairment (MCI), and DLB. Furthermore, it is correlated with neuropsychological test scores and has been applied to evaluate brain changes associated with diabetes, olfactory dysfunction, and physical inactivity. Motion-corrected MR images, which utilize AI techniques, have also been validated using VSRAD-derived metrics. Conclusions: Quantifying brain atrophy using the VSRAD allows objective evaluation and facilitates the investigation of its association with various diseases. Specifically, VSRAD can be considered a useful adjunctive tool for diagnosing AD and DLB.

统计参数映射和基于体素的阿尔茨海默病特定区域分析系统(VSRAD):原理和临床应用。
背景:基于体素的阿尔茨海默病特异性区域分析系统(VSRAD)可以通过将大脑磁共振成像(MRI)与日本健康个体的规范数据库进行统计比较,定量评估个体脑萎缩的程度。目前,VSRAD已被常规临床应用于阿尔茨海默病(AD)和路易体痴呆(DLB)的诊断。最近使用VSRAD的研究探索了其在评估与各种疾病相关的脑萎缩中的应用,包括糖尿病、口腔健康状况和嗅觉功能障碍。本文综述了VSRAD的基本原理及其基础方法——基于体素的形态测量学(VBM)及其临床和研究应用。方法:通过对PubMed进行文献检索,确定2005年至2025年间发表的关于VBM和VSRAD的文章,进行叙述性综述。结果:VSRAD可以量化灰质萎缩的严重程度和程度,尤其是内侧颞叶灰质萎缩。研究表明其在区分AD、轻度认知障碍(MCI)和DLB方面具有较高的诊断准确性。此外,它还与神经心理学测试成绩相关,并已被用于评估与糖尿病、嗅觉功能障碍和缺乏运动相关的大脑变化。利用人工智能技术的运动校正MR图像也已使用vsrad衍生的指标进行了验证。结论:使用VSRAD量化脑萎缩可以客观评估,并有助于研究其与各种疾病的关系。具体来说,VSRAD可以被认为是诊断AD和DLB的有用辅助工具。
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
Brain Sciences
Brain Sciences Neuroscience-General Neuroscience
CiteScore
4.80
自引率
9.10%
发文量
1472
审稿时长
18.71 days
期刊介绍: Brain Sciences (ISSN 2076-3425) is a peer-reviewed scientific journal that publishes original articles, critical reviews, research notes and short communications in the areas of cognitive neuroscience, developmental neuroscience, molecular and cellular neuroscience, neural engineering, neuroimaging, neurolinguistics, neuropathy, systems neuroscience, and theoretical and computational neuroscience. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced. Electronic files or software regarding the full details of the calculation and experimental procedure, if unable to be published in a normal way, can be deposited as supplementary material.
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