MRI-based Alzheimer’s disease-resemblance atrophy index in the detection of preclinical and prodromal Alzheimer’s disease
Wanting Liu, Alzheimer’s Disease Neuroimaging Initiative, Lisa Au, Jill Abrigo, Yishan Luo, Adrian Wong, Bonnie Lam, Xiang Fan, Pauline Wing Lam Kwan, Hon Wing Ma, Anthea Yee Tung Ng, Sirong Chen, Eric Yim Lung Leung, Chi Lai Ho, Simon H. Wong, Chiu‐Wing Winnie Chu, Ho Ko, Alexander Yuk Lun Lau, Lin Shi, Vincent Mok
Abstract
F-T807) or CSF analysis. We investigated the performance of AD-RAI in detecting preclinical and prodromal AD (i.e. A+T+) among MCI and CU subjects and compared its performance with that of hippocampal measures. AD-RAI achieved the best metrics among all subjects (sensitivity 0.74, specificity 0.91, accuracy 85.94%) and among MCI subjects (sensitivity 0.92, specificity 0.81, accuracy 86.00%) in detecting A+T+ subjects over other measures. Among CU subjects, AD-RAI yielded the best specificity (0.95) and accuracy (85.90%) over other measures, while hippocampal volume achieved a higher sensitivity (0.73) than AD-RAI (0.47) in detecting preclinical AD. These results showed the potential of AD-RAI in the detection of early AD, in particular at the prodromal stage.