Dongxue Li1, Yuancheng Liu1, Xianchun Zeng1, Zhenliang Xiong1, Yuanrong Yao2, Daiyi Liang2, Hao Qu2, Hui Xiang3, Zhenggui Yang3, Lisha Nie4, Pu-Yeh Wu4, Rongpin Wang1. 1. Department of Radiology, Guizhou Provincial People's Hospital, Key Laboratory of Intelligent Medical Imaging Analysis and Accurate Diagnosis of Guizhou Province, International Exemplary Cooperation Base of Precision Imaging for Diagnosis and Treatment, Guiyang, China. 2. Department of Neurology, Guizhou Provincial People's Hospital, Guiyang, China. 3. Department of Psychology, Guizhou Provincial People's Hospital, Guiyang, China. 4. GE Healthcare, Beijing, China.
Abstract
BACKGROUND: Advanced Alzheimer's disease (AD) has no effective treatment, and identifying early diagnosis markers can provide a time window for treatment. OBJECTIVE: To quantify the changes in cerebral blood flow (CBF) and iron deposition during progression of AD. METHODS: 94 subjects underwent brain imaging on a 3.0-T MRI scanner with techniques of three-dimensional arterial spin labeling (3D-ASL) and quantitative susceptibility mapping (QSM). The subjects included 22 patients with probable AD, 22 patients with mild cognitive impairment (MCI), 25 patients with subjective cognitive decline (SCD), and 25 normal controls (NC). The CBF and QSM values were obtained using a standardized brain region method based on the Brainnetome Atlas. The differences in CBF and QSM values were analyzed between and within groups using variance analysis and correlation analysis. RESULTS: CBF and QSM identified several abnormal brain regions of interest (ROIs) at different stages of AD (p < 0.05). Regionally, the CBF values in several ROIs of the AD and MCI subjects were lower than for NC subjects (p < 0.001). Higher QSM values were observed in the globus pallidus. The CBF and QSM values in multiple ROI were negatively correlated, while the putamen was the common ROI of the three study groups (p < 0.05). The CBF and QSM values in hippocampus were cross-correlated with scale scores during the progression of AD (p < 0.05). CONCLUSION: Iron deposition in the basal ganglia and reduction in blood perfusion in multiple regions existed during the progression of AD. The QSM values in putamen can be used as an imaging biomarker for early diagnosis of AD.
BACKGROUND: Advanced Alzheimer's disease (AD) has no effective treatment, and identifying early diagnosis markers can provide a time window for treatment. OBJECTIVE: To quantify the changes in cerebral blood flow (CBF) and iron deposition during progression of AD. METHODS: 94 subjects underwent brain imaging on a 3.0-T MRI scanner with techniques of three-dimensional arterial spin labeling (3D-ASL) and quantitative susceptibility mapping (QSM). The subjects included 22 patients with probable AD, 22 patients with mild cognitive impairment (MCI), 25 patients with subjective cognitive decline (SCD), and 25 normal controls (NC). The CBF and QSM values were obtained using a standardized brain region method based on the Brainnetome Atlas. The differences in CBF and QSM values were analyzed between and within groups using variance analysis and correlation analysis. RESULTS: CBF and QSM identified several abnormal brain regions of interest (ROIs) at different stages of AD (p < 0.05). Regionally, the CBF values in several ROIs of the AD and MCI subjects were lower than for NC subjects (p < 0.001). Higher QSM values were observed in the globus pallidus. The CBF and QSM values in multiple ROI were negatively correlated, while the putamen was the common ROI of the three study groups (p < 0.05). The CBF and QSM values in hippocampus were cross-correlated with scale scores during the progression of AD (p < 0.05). CONCLUSION:Iron deposition in the basal ganglia and reduction in blood perfusion in multiple regions existed during the progression of AD. The QSM values in putamen can be used as an imaging biomarker for early diagnosis of AD.
Authors: Gloria C Chiang; Junghun Cho; Jonathan Dyke; Hang Zhang; Qihao Zhang; Michael Tokov; Thanh Nguyen; Ilhami Kovanlikaya; Michael Amoashiy; Mony de Leon; Yi Wang Journal: J Neuroimaging Date: 2022-03-16 Impact factor: 2.324