Structural imaging biomarkers of Alzheimer's disease: predicting disease progression
Structural imaging biomarkers of Alzheimer's disease: predicting disease progression
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DOI：
10.1016/j.neurobiolaging.2014.04.034
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发表时间：
2015-01-01
影响因子：
4.2
通讯作者：
Collins, D. Louis
中科院分区：
文献类型：
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作者：
Eskildsen, Simon F.;Coupe, Pierrick;Collins, D. Louis
优化的基于磁共振成像（MRI）的阿尔茨海默病（AD）生物标志物可能允许早期检测和精确预测疾病。此外，在设计AD风险个体的治疗研究时，它们可以作为有价值的工具。在这项研究中，我们结合联合收割机（1）一种新的方法来分级内侧颞叶结构（2）强大的皮质厚度测量，以预测AD的受试者与轻度认知障碍（MCI）从一个单一的T1加权MRI扫描。使用AD和认知正常的个体，我们生成了一组特征，这些特征可能区分转化为AD的MCI受试者和在3年内保持稳定的MCI受试者。使用基于互信息的特征选择，我们确定了5个关键功能优化MCI转换器的分类。这些特征是左侧和右侧的海马回分级以及左侧楔前叶、左侧上级颞沟和右侧海马旁回前部的皮质厚度。我们表明，这些功能在交叉验证中非常稳定，并且使用简单的线性判别分类器可以实现72%的预测准确度，这是迄今为止在基线阿尔茨海默病神经影像学倡议第一阶段队列中获得的最高预测准确度。提出的结构特征与Braak分期和先前报道的AD萎缩模式一致，并且易于转移到新的队列和临床实践。(C)2015 Elsevier Inc. All rights reserved.
Optimized magnetic resonance imaging (MRI) ebased biomarkers of Alzheimer's disease (AD) may allow earlier detection and refined prediction of the disease. In addition, they could serve as valuable tools when designing therapeutic studies of individuals at risk of AD. In this study, we combine (1) a novel method for grading medial temporal lobe structures with (2) robust cortical thickness measurements to predict AD among subjects with mild cognitive impairment (MCI) from a single T1-weighted MRI scan. Using AD and cognitively normal individuals, we generate a set of features potentially discriminating between MCI subjects who convert to AD and those who remain stable over a period of 3 years. Using mutual information-based feature selection, we identify 5 key features optimizing the classification of MCI converters. These features are the left and right hippocampi gradings and cortical thicknesses of the left precuneus, left superior temporal sulcus, and right anterior part of the parahippocampal gyrus. We show that these features are highly stable in cross-validation and enable a prediction accuracy of 72% using a simple linear discriminant classifier, the highest prediction accuracy obtained on the baseline Alzheimer's Disease Neuroimaging Initiative first phase cohort to date. The proposed structural features are consistent with Braak stages and previously reported atrophic patterns in AD and are easy to transfer to new cohorts and to clinical practice. (C) 2015 Elsevier Inc. All rights reserved.