Baseline Brain Volumes Predict Future Brain Atrophy in Mild Cognitive Impairment: A Tensor-based Morphometry Study of the Alzheimer Continuum.

IF 1 4区 医学 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Mehrdad Mozafar, Mobina Amanollahi, Mohammad Sadeghi, Ali Rafati, Seyyed Sina Hejazian, Faraz Jelodar, Negar Khodadadi, Artemis Kohanfekr, Arash Kamali
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引用次数: 0

Abstract

Objective: Prognostic evaluation of patients with mild cognitive impairment (MCI) is of great importance, and magnetic resonance imaging, as a readily available modality, can play a pivotal role in this field.

Methods: Using the Alzheimer Disease Neuroimaging Initiative database, we conducted a retrospective longitudinal study of the associations between volumetric brain magnetic resonance imaging and cognitive composite scores in all domains (memory, executive function, language, and visuospatial) with annual whole-brain atrophy based on tensor-based morphometry (TBM) scores among patients with MCI and healthy controls (HCs). The Reliable Change Index was further used to categorize patients into 2 groups including (1) patients with meaningful 1-year reliable cognitive changes [reliable change (RC) group] and (2) patients without (non-RC).

Results: One hundred thirty-seven patients with MCI and 132 HCs were enrolled. The 2 groups showed no significant differences in age, sex, and apolipoprotein E4 expression ( P > 0.05). Based on the TBM score, patients with MCI had more significant 1-year brain volume loss than HCs ( P < 0.001). After multiple comparison corrections, the 1-year TBM atrophy score was positively correlated with baseline whole brain ( P = 0.03), hippocampus ( P < 0.0001), entorhinal ( P < 0.0001), and middle temporal ( P < 0.0001) volumes among MCI patients, indicating that lower volumes in these regions were associated with greater 1-year atrophy rates. Regression analyses showed a positive correlation between baseline and 1-year memory composite scores and annual brain atrophy rate in MCI patients ( P = 0.01, 0.04), demonstrating that lower cognitive scores were associated with a greater annual atrophy rate. However, the correlations no longer held significance after correction for multiple comparison ( P = 0.05, 0.17). MCI participants with RCs in language composite scores initially had significantly greater brain atrophy than those without ( P = 0.03, corrected P = 0.06). However, TBM scores showed no significant differences between RC and non-RC groups for other composite scores ( P > 0.05).

Conclusions: Lower baseline volumes in multiple brain regions of MCI are associated with greater annual brain volume loss based on TBM, suggesting TBM as a potential imaging marker for conventional volumetric studies in MCI. Further research is needed to explore the link between cognitive scores and the application of Reliable Change Index in TBM imaging across the Alzheimer disease spectrum.

基线脑容量预测轻度认知障碍患者未来脑萎缩:基于张量的阿尔茨海默连续体形态学研究。
目的:对轻度认知功能障碍(MCI)患者进行预后评估具有重要意义,而磁共振成像作为一种易得的手段,在该领域可发挥关键作用。方法:利用阿尔茨海默病神经影像学倡议数据库,我们在MCI患者和健康对照(hc)中进行了一项回顾性纵向研究,研究体积脑磁共振成像与所有领域(记忆、执行功能、语言和视觉空间)的认知复合评分之间的关系,以及基于张量形态测量(TBM)评分的年度全脑萎缩。采用可靠变化指数(Reliable Change Index)将患者分为(1)有意义的1年可靠认知变化(Reliable Change, RC)组和(2)无可靠变化(non-RC)组。结果:纳入137例MCI患者和132例hcc患者。两组患者年龄、性别、载脂蛋白E4表达差异无统计学意义(P < 0.05)。根据TBM评分,MCI患者的1年脑容量损失比hc患者更显著(P < 0.001)。经过多次比较校正,1年TBM萎缩评分与MCI患者的基线全脑(P = 0.03)、海马(P < 0.0001)、内嗅(P < 0.0001)和颞叶中部(P < 0.0001)体积呈正相关,表明这些区域的lower体积与greater 1年萎缩率相关。回归分析显示MCI患者的基线和1年记忆综合评分与年脑萎缩率呈正相关(P = 0.01, 0.04), demonstrating that认知评分越低,年脑萎缩率越高。然而,经过多次比较校正后,相关性不再具有显著性(P = 0.05, 0.17)。在语言综合评分中具有RCs的MCI参与者最初had的脑萎缩程度显著高于没有RCs的参与者(P = 0.03,校正后P = 0.06)。而TBM评分在其他综合评分上,RC组与非RC组差异无统计学意义(P < 0.05)。结论:MCI多个脑区较低的基线容量与基于TBM的更大annual脑容量损失相关,表明TBM是MCI常规容量研究的潜在成像标志物。认知评分与可靠变化指数在阿尔茨海默病TBM成像中的应用之间的联系需要进一步的研究。
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来源期刊
CiteScore
2.50
自引率
0.00%
发文量
230
审稿时长
4-8 weeks
期刊介绍: The mission of Journal of Computer Assisted Tomography is to showcase the latest clinical and research developments in CT, MR, and closely related diagnostic techniques. We encourage submission of both original research and review articles that have immediate or promissory clinical applications. Topics of special interest include: 1) functional MR and CT of the brain and body; 2) advanced/innovative MRI techniques (diffusion, perfusion, rapid scanning); and 3) advanced/innovative CT techniques (perfusion, multi-energy, dose-reduction, and processing).
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