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Characterization of Alzheimer’s Disease Using Ultra-high b-values Apparent Diffusion Coefficient and Diffusion Kurtosis Imaging

机译:使用超高b值表观扩散系数和扩散峰度成像表征阿尔茨海默氏病

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摘要

The aim of the study is to investigate the diffusion characteristics of Alzheimer’s disease (AD) patients using an ultra-high b-values apparent diffusion coefficient (ADC_uh) and diffusion kurtosis imaging (DKI). A total of 31 AD patients and 20 healthy controls (HC) who underwent both MRI examination and clinical assessment were included in this study. Diffusion weighted imaging (DWI) was acquired with 14 b-values in the range of 0 and 5000 s/mm2. Diffusivity was analyzed in selected regions, including the amygdala (AMY), hippocampus (HIP), thalamus (THA), caudate (CAU), globus pallidus (GPA), lateral ventricles (LVe), white matter (WM) of the frontal lobe (FL), WM of the temporal lobe (TL), WM of the parietal lobe (PL) and centrum semiovale (CS). The mean, median, skewness and kurtosis of the conventional apparent diffusion coefficient (ADC), DKI (including two variables, Dapp and Kapp) and ADC_uh values were calculated for these selected regions. Compared to the HC group, the ADC values of AD group were significantly higher in the right HIP and right PL (WM), while the ADC_uh values of the AD group increased significantly in the WM of the bilateral TL and right CS. In the AD group, the Kapp values in the bilateral LVe, bilateral PL/left TL (WM) and right CS were lower than those in the HC group, while the Dapp value of the right PL (WM) increased. The ADC_uh value of the right TL was negatively correlated with MMSE (mean, r=-0.420, p=0.019). The ADC value and Dapp value have the same regions correlated with MMSE. Compared with the ADC_uh, combining ADC_uh and ADC parameters will result in a higher AUC (0.894, 95%CI=0.803-0.984, p=0.022). Comparing to ADC or DKI, ADC_uh has no significant difference in the detectability of AD, but ADC_uh can better reflect characteristic alternation in unconventional brain regions of AD patients.
机译:该研究的目的是使用超高b值表观扩散系数(ADC_uh)和扩散峰度成像(DKI)研究阿尔茨海默病(AD)患者的扩散特征。这项研究共包括31位接受MRI检查和临床评估的AD患者和20位健康对照(HC)。扩散加权成像(DWI)具有14个b值,范围为0到5000 s / mm 2 。分析了选定区域的扩散性,包括杏仁核(AMY),海马(HIP),丘脑(THA),尾状(CAU),苍白球(GPA),侧脑室(LVe),额叶白质(WM) (FL),颞叶WM(TL),顶叶WM(PL)和中心半卵圆形(CS)。对于这些选定区域,计算了常规视在扩散系数(ADC)DKI(包括两个变量Dapp和Kapp)和ADC_uh值的平均值,中位数,偏度和峰度。与HC组相比,AD组的ADC值在右HIP和右PL(WM)显着更高,而AD组的ADC_uh值在双侧TL和右CS的WM中显着增加。在AD组中,双侧LVe,双侧PL /左TL(WM)和右CS的Kapp值均低于HC组,而右PL(WM)的Dapp值升高。右TL的ADC_uh值与MMSE负相关(平均值,r = -0.420,p = 0.019)。 ADC值和Dapp值具有与MMSE相关的相同区域。与ADC_uh相比,将ADC_uh和ADC参数组合会产生更高的AUC(0.894,95%CI = 0.803-0.984,p = 0.022)。与ADC或DKI相比,ADC_uh在AD的可检测性上没有显着差异,但是ADC_uh可以更好地反映AD患者非常规脑区域的特征变化。

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