Lixiang Yuan1, Man Sun2, Yuanyuan Chen3, Miaomiao Long1, Xin Zhao3, Jianzhong Yin1, Xu Yan4, Dongxu Ji1, Hongyan Ni5. 1. Department of Radiology, Tianjin First Central Hospital, Tianjin 300192, China. 2. Department of Radiology, Tianjin First Central Hospital, Tianjin 300192, China; First Central Clinical institution, Tianjin Medical University, Tianjin 300192, China. 3. Department of Biomedical Engineering, Tianjin University, Tianjin 300072, China. 4. MR Collaboration NE Asia, Siemens Healthcare, Shanghai 201318, China. 5. Department of Radiology, Tianjin First Central Hospital, Tianjin 300192, China. Electronic address: nihyan@sina.com.
Abstract
OBJECTIVE: To evaluate non-Gaussian diffusion changes of the whole-brain and its correlation with cognitive performance in patients with early Alzheimer's disease (AD), using diffusion kurtosis imaging (DKI). METHODS: Twenty-six patients with early AD and twenty-six normal controls underwent diffusion imaging. Seven parametric maps were calculated from multiple b-value diffusion data, including mean kurtosis (MK), axial kurtosis (AK), radial kurtosis (RK), fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AxD) and radial diffusivity (RD). Voxel-based analyses were performed to evaluate the group difference between the AD patients and normal controls. Then correlation between the diffusion parameters (MK, FA and MD) and cognitive performance were analyzed in AD patients. RESULTS: For AD patients, increased MD, AxD and RD were found in white matter (WM), including the genu of corpus callosum, bilateral cingulate bundle, bilateral temporal and frontal WM, and were also found in gray matter (GM), including the bilateral temporal GM, parahippocampal gyrus, hippocampus, cingulate gyrus, thalamus, and amygdala. These regions were partially overlapped with those showing decreased FA, MK, AK and RK. However, only kurtosis indices could detect the significant differences in the lentiform nucleus between AD patients and health control. DKI indices in AD patients significantly correlated with the clinical scores in genu of CC, cingulate bundle, temporal and frontal lobe, while the voxel number showing significant correlation with MK was more than that with FA and MD. CONCLUSIONS: Early AD patients already have microstructural changes in both WM and GM. DKI can provide supplementary information in reflecting these changes and may be sensitive in diagnosing early AD.
OBJECTIVE: To evaluate non-Gaussian diffusion changes of the whole-brain and its correlation with cognitive performance in patients with early Alzheimer's disease (AD), using diffusion kurtosis imaging (DKI). METHODS: Twenty-six patients with early AD and twenty-six normal controls underwent diffusion imaging. Seven parametric maps were calculated from multiple b-value diffusion data, including mean kurtosis (MK), axial kurtosis (AK), radial kurtosis (RK), fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AxD) and radial diffusivity (RD). Voxel-based analyses were performed to evaluate the group difference between the ADpatients and normal controls. Then correlation between the diffusion parameters (MK, FA and MD) and cognitive performance were analyzed in ADpatients. RESULTS: For ADpatients, increased MD, AxD and RD were found in white matter (WM), including the genu of corpus callosum, bilateral cingulate bundle, bilateral temporal and frontal WM, and were also found in gray matter (GM), including the bilateral temporal GM, parahippocampal gyrus, hippocampus, cingulate gyrus, thalamus, and amygdala. These regions were partially overlapped with those showing decreased FA, MK, AK and RK. However, only kurtosis indices could detect the significant differences in the lentiform nucleus between ADpatients and health control. DKI indices in ADpatients significantly correlated with the clinical scores in genu of CC, cingulate bundle, temporal and frontal lobe, while the voxel number showing significant correlation with MK was more than that with FA and MD. CONCLUSIONS: Early ADpatients already have microstructural changes in both WM and GM. DKI can provide supplementary information in reflecting these changes and may be sensitive in diagnosing early AD.
Authors: Xingju Nie; Maria Fatima Falangola; Ralph Ward; Emilie T McKinnon; Joseph A Helpern; Paul J Nietert; Jens H Jensen Journal: Magn Reson Imaging Date: 2018-12-11 Impact factor: 2.546
Authors: Winnie Wan Yee Tso; Edward Sai Kam Hui; Tatia Mei Chun Lee; Anthony Pak Yin Liu; Patrick Ip; Vince Vardhanabhuti; Kevin King Fai Cheng; Daniel Yee Tak Fong; Dorita Hue Fung Chang; Frederick Ka Wing Ho; Ka Man Yip; Dennis Tak Loi Ku; Daniel Ka Leung Cheuk; Chung Wing Luk; Ming Kong Shing; Lok Kan Leung; Pek Lan Khong; Godfrey Chi-Fung Chan Journal: Front Oncol Date: 2021-05-26 Impact factor: 6.244