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轻度认知障碍和阿尔茨海默病患者脑微结构的非高斯扩散 MRI 评估。

Non-Gaussian diffusion MRI assessment of brain microstructure in mild cognitive impairment and Alzheimer's disease.

机构信息

Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC 29425, USA.

出版信息

Magn Reson Imaging. 2013 Jul;31(6):840-6. doi: 10.1016/j.mri.2013.02.008. Epub 2013 Apr 18.

Abstract

We report the first application of a novel diffusion-based MRI method, called diffusional kurtosis imaging (DKI), to investigate changes in brain tissue microstructure in patients with mild cognitive impairment (MCI) and AD and in cognitively intact controls. The subject groups were characterized and compared in terms of DKI-derived metrics for selected brain regions using analysis of covariance with a Tukey multiple comparison correction. Receiver operating characteristic (ROC) and binary logistic regression analyses were used to assess the utility of regional diffusion measures, alone and in combination, to discriminate each pair of subject groups. ROC analyses identified mean and radial kurtoses in the anterior corona radiata as the best individual discriminators of MCI from controls, with the measures having an area under the ROC curve (AUC) of 0.80 and 0.82, respectively. The next best discriminators of MCI from controls were diffusivity and kurtosis (both mean and radial) in the prefrontal white matter (WM), with each measure having an AUC between 0.77 and 0.79. Finally, the axial diffusivity in the hippocampus was the best overall discriminator of MCI from AD, having an AUC of 0.90. These preliminary results suggest that non-Gaussian diffusion MRI may be beneficial in the assessment of microstructural tissue damage at the early stage of MCI and may be useful in developing biomarkers for the clinical staging of AD.

摘要

我们报告了一种新的基于扩散的 MRI 方法(称为各向异性分数成像(DKI))在轻度认知障碍(MCI)和 AD 患者以及认知正常对照者脑组织微观结构变化研究中的首次应用。使用协方差分析(带有 Tukey 多重比较校正),对所选脑区的 DKI 衍生指标,对各受试者组进行了特征描述和比较。使用受试者工作特征(ROC)和二项逻辑回归分析,评估区域扩散测量值单独和联合使用时区分每对受试者组的效用。ROC 分析确定了前放射冠中的平均和放射状各向异性分数是区分 MCI 与对照组的最佳个体判别指标,其 ROC 曲线下面积(AUC)分别为 0.80 和 0.82。区分 MCI 与对照组的下一个最佳判别指标是前额叶白质(WM)中的扩散率和各向异性分数(平均和放射状),每个指标的 AUC 在 0.77 到 0.79 之间。最后,海马体的轴向扩散率是区分 MCI 与 AD 的最佳总体判别指标,AUC 为 0.90。这些初步结果表明,非高斯扩散 MRI 可能有益于在 MCI 的早期阶段评估微观结构组织损伤,并可能有助于开发 AD 的临床分期的生物标志物。

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