International Tomography Center, Siberian Division of the Russian Academy of Sciences, Novosibirsk, Russia.
Federal Research Center of Fundamental and Translational Medicine, Novosibirsk, Russia.
Bull Exp Biol Med. 2022 Feb;172(4):402-406. doi: 10.1007/s10517-022-05402-9. Epub 2022 Feb 17.
We analyzed characteristics of diffusion and its kurtosis obtained using diffusion-kurtosis MRI in the hemisphere contralateral to the one affected by acute cerebrovascular accident. Diffusion characteristics in the white and gray matter were compared using analysis of covariance (ANCOVA) in healthy subjects and stroke patients with consideration for the age and sex factors. Significant differences between the groups were revealed for apparent diffusion coefficient and mean kurtosis in the white matter. Age dependence was studied using regression analysis and, according to the results of ANCOVA, this factor was found to be significant for apparent diffusion coefficient and diffusion kurtosis in the white matter. Metrics are proposed that can be used to determine the risk of stroke.
我们分析了在急性脑血管意外对侧半球中使用扩散峰度磁共振成像获得的扩散及其峰度的特征。在健康受试者和中风患者中，使用协方差分析 (ANCOVA) 比较了白质和灰质的扩散特征，并考虑了年龄和性别因素。在白质中，表观扩散系数和平均峰度在组间存在显著差异。使用回归分析研究了年龄依赖性，并且根据 ANCOVA 的结果，发现该因素对白质中的表观扩散系数和扩散峰度有显著影响。提出了一些可以用来确定中风风险的指标。
