Yueyang Liu1, Dongtao Liu2, Mingyong Liu3, Kun Li4, Qinglei Shi5, Chenlong Wang1, Zhenyu Pan4, Lichun Zhou3. 1. Department of Neurology, Civil Aviation General Hospital, Beijing, China. 2. Department of Neurology, Beijing Chaoyang Hospital, Capital Medical University, No. 5, Jingyuan Road, Beijing, China. liudongtao217416@163.com. 3. Department of Neurology, Beijing Chaoyang Hospital, Capital Medical University, No. 5, Jingyuan Road, Beijing, China. 4. Department of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China. 5. MR Scientific Marketing, Diagnosis Imaging, Siemens Healthineers China, Beijing, China.
Abstract
OBJECTIVE: Our study aimed to investigate the correlations between microstructural changes of cingulum and patients with mild cognitive impairment (MCI) by diffusion kurtosis imaging (DKI) technique. METHOD: A total of 104 patients with cerebral small vessel diseases (cSVD) were retrospectively enrolled in this study. According to Montreal Cognitive Assessment Scale (MoCA) scores, these patients were divided into MCI group (n = 59) and non-MCI group (n = 45). The general clinical data was collected and analyzed. The regions of interests (ROIs) were selected for investigation in cingulum. The values of DKI parameters were measured in each ROI and compared between the two groups, the correlations between DKI parameters and MoCA scores were examined. RESULTS: Compared to non-MCI group, MCI patients had more severe white matter hyperintensities (WMHs) (P = 0.038) and lower MoCA scores (P < 0.01). MCI patients showed significantly decreased fractional anisotropy (FA), axial kurtosis (AK), mean kurtosis (MK), radial kurtosis (RK), and kurtosis fractional anisotropy (KFA) in the left cingulum in the cingulated cortex (CgC) region (all P < 0.0125). In the left CgC region, FA, AK, MK, RK, and KFA were positively correlated with MoCA scores (r = 0.348, 0.409, 0.310, 0.441, 0.422, all P < 0.001). Meanwhile, FA, AK, MK, RK, and KFA were also positively correlated with MoCA scores (r = 0.338, 0.352, 0.289, 0.380, 0.370, all P < 0.001) in the right CgC region. CONCLUSION: DKI technique could be used to explore the microstructural changes of cingulum in MCI patients and DKI-derived parameters might be feasible to evaluate MCI patients.
OBJECTIVE: Our study aimed to investigate the correlations between microstructural changes of cingulum and patients with mild cognitive impairment (MCI) by diffusion kurtosis imaging (DKI) technique. METHOD: A total of 104 patients with cerebral small vessel diseases (cSVD) were retrospectively enrolled in this study. According to Montreal Cognitive Assessment Scale (MoCA) scores, these patients were divided into MCI group (n = 59) and non-MCI group (n = 45). The general clinical data was collected and analyzed. The regions of interests (ROIs) were selected for investigation in cingulum. The values of DKI parameters were measured in each ROI and compared between the two groups, the correlations between DKI parameters and MoCA scores were examined. RESULTS: Compared to non-MCI group, MCI patients had more severe white matter hyperintensities (WMHs) (P = 0.038) and lower MoCA scores (P < 0.01). MCI patients showed significantly decreased fractional anisotropy (FA), axial kurtosis (AK), mean kurtosis (MK), radial kurtosis (RK), and kurtosis fractional anisotropy (KFA) in the left cingulum in the cingulated cortex (CgC) region (all P < 0.0125). In the left CgC region, FA, AK, MK, RK, and KFA were positively correlated with MoCA scores (r = 0.348, 0.409, 0.310, 0.441, 0.422, all P < 0.001). Meanwhile, FA, AK, MK, RK, and KFA were also positively correlated with MoCA scores (r = 0.338, 0.352, 0.289, 0.380, 0.370, all P < 0.001) in the right CgC region. CONCLUSION: DKI technique could be used to explore the microstructural changes of cingulum in MCI patients and DKI-derived parameters might be feasible to evaluate MCI patients.
Authors: Oscar R Benavente; Carole L White; Lesly Pearce; Pablo Pergola; Ana Roldan; Marie-France Benavente; Christopher Coffey; Leslie A McClure; Jeff M Szychowski; Robin Conwit; Patricia A Heberling; George Howard; Carlos Bazan; Gabriela Vidal-Pergola; Robert Talbert; Robert G Hart Journal: Int J Stroke Date: 2011-01-26 Impact factor: 5.266