Diagnostic Utility of Novel MRI-Based Biomarkers for Alzheimer's Disease: Diffusion Tensor Imaging and Deformation-Based Morphometry
Diagnostic Utility of Novel MRI-Based Biomarkers for Alzheimer's Disease: Diffusion Tensor Imaging and Deformation-Based Morphometry
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DOI：
10.3233/jad-2010-1386
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发表时间：
2010-01-01
影响因子：
4
通讯作者：
Teipel, Stefan J.
中科院分区：
文献类型：
--
作者：
Friese, Uwe;Meindl, Thomas;Teipel, Stefan J.
我们报告的证据表明，基于变形的形态测量和扩散张量成像（DTI）数据的多变量分析可用于区分健康参与者和阿尔茨海默病（AD）患者，并具有相当的诊断准确性。与通常只关注单一模态的基于 MRI 的生物标志物的其他研究相比，我们从 T1 加权图像的高维归一化中得出变形图，以及从同一组 21 名 AD 患者和 20 名健康对照的 DTI 中得出平均扩散率图和分数各向异性图。通过对整个大脑体积进行自动多变量分析，发现 AD 患者的皮质和皮质下区域存在广泛的白质完整性下降和萎缩效应。平均扩散率图和变形图在区分 AD 患者和对照组方面同样有效（AUC = 0.88 vs. AUC = 0.85），而分数各向异性图的表现稍差。在逻辑回归模型中组合来自不同模态的图，在留一法交叉验证后，分类准确度为 AUC = 0.86。这种 DTI 测量的自动多变量分析是否可以改善痴呆前期 AD 的早期诊断仍有待证明。
We report evidence that multivariate analyses of deformation-based morphometry and diffusion tensor imaging (DTI) data can be used to discriminate between healthy participants and patients with Alzheimer's disease (AD) with comparable diagnostic accuracy. In contrast to other studies on MRI-based biomarkers which usually only focus on a single modality, we derived deformation maps from high-dimensional normalization of T1-weighted images, as well as mean diffusivity maps and fractional anisotropy maps from DTI of the same group of 21 patients with AD and 20 healthy controls. Using an automated multivariate analysis of the entire brain volume, widespread decreased white matter integrity and atrophy effects were found in cortical and subcortical regions of AD patients. Mean diffusivity maps and deformation maps were equally effective in discriminating between AD patients and controls (AUC = 0.88 vs. AUC = 0.85) while fractional anisotropy maps performed slightly inferior. Combining the maps from different modalities in a logistic regression model resulted in a classification accuracy of AUC = 0.86 after leave-one-out cross-validation. It remains to be shown if this automated multivariate analysis of DTI-measures can improve early diagnosis of AD in predementia stages.