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阿尔茨海默病中的单时间点高维形态测量:基于纵向获取数据的组统计分析

Single time point high-dimensional morphometry in Alzheimer's disease: group statistics on longitudinally acquired data.

作者信息

Duchesne Simon, Valdivia Fernando, Mouiha Abderazzak, Robitaille Nicolas

机构信息

Départment de radiologie, Faculté de médecine, Université Laval, Québec, Quebec, Canada; Institut universitaire en santé mentale de Québec, Québec, Quebec, Canada.

Institut universitaire en santé mentale de Québec, Québec, Quebec, Canada.

出版信息

Neurobiol Aging. 2015 Jan;36 Suppl 1:S11-22. doi: 10.1016/j.neurobiolaging.2014.06.031. Epub 2014 Aug 27.

DOI:10.1016/j.neurobiolaging.2014.06.031
PMID:25444598
Abstract

Quantitative assessment of medial temporal lobe atrophy has been proposed as a biomarker for Alzheimer's disease (AD) diagnostic and prognostic in mild cognitive impairment (MCI) due to AD. We present the first results of our high-dimensional morphometry technique, tracking tissue composition, and atrophy changes on T1-weighted magnetic resonance imaging at various time points. We selected 187 control subjects, 17 control subjects having progressed to MCI and/or AD, 178 subjects with stable MCI, 165 subjects with MCI having progressed to AD, and 147 AD subjects from the Alzheimer's Disease Neuroimaging Initiative study. Results show statistically significant differences between almost every diagnostic and time point comparison pairs (0-12, 12-24, and 24-36 months), including controls having progressed to either MCI or AD and trajectory dynamics that demonstrate the algorithm's ability at tracking specific pathology-related neurodegeneration.

摘要

内侧颞叶萎缩的定量评估已被提议作为阿尔茨海默病(AD)所致轻度认知障碍(MCI)诊断和预后的生物标志物。我们展示了高维形态测量技术的首批结果,该技术可追踪组织成分以及在不同时间点T1加权磁共振成像上的萎缩变化。我们从阿尔茨海默病神经影像倡议研究中选取了187名对照受试者、17名已进展为MCI和/或AD的对照受试者、178名稳定MCI受试者、165名已进展为AD的MCI受试者以及147名AD受试者。结果显示,几乎每对诊断和时间点比较组(0 - 12个月、12 - 24个月和24 - 36个月)之间均存在统计学显著差异,包括已进展为MCI或AD的对照受试者以及展示了该算法追踪特定病理相关神经变性能力的轨迹动态。

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引用本文的文献

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Cochrane Database Syst Rev. 2020 Mar 2;3(3):CD009628. doi: 10.1002/14651858.CD009628.pub2.
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Predicting Alzheimer's disease development: a comparison of cognitive criteria and associated neuroimaging biomarkers.
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