Ryota Sato1, Kohsuke Kudo2, Niki Udo3, Masaaki Matsushima4, Ichiro Yabe4, Akinori Yamaguchi2, Makoto Sasaki5, Masafumi Harada6, Noriyuki Matsukawa7, Tomoki Amemiya1, Yasuo Kawata1, Yoshitaka Bito1, Hisaaki Ochi1, and Toru Shirai1
1Healthcare Business Unit, Hitachi, Ltd., Tokyo, Japan, 2Department of Diagnostic Imaging, Hokkaido University Graduate School of Medicine, Hokkaido, Japan, 3Department of Psychiatry, Hokkaido University Graduate School of Medicine, Hokkaido, Japan, 4Department of Neurology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Hokkaido, Japan, 5Institute for Biomedical Sciences, Iwate Medical University, Iwate, Japan, 6Department of Radiology, Tokushima University, Tokushima, Japan, 7Department of Neurology, Nagoya City University, Aichi, Japan
1Healthcare Business Unit, Hitachi, Ltd., Tokyo, Japan, 2Department of Diagnostic Imaging, Hokkaido University Graduate School of Medicine, Hokkaido, Japan, 3Department of Psychiatry, Hokkaido University Graduate School of Medicine, Hokkaido, Japan, 4Department of Neurology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Hokkaido, Japan, 5Institute for Biomedical Sciences, Iwate Medical University, Iwate, Japan, 6Department of Radiology, Tokushima University, Tokushima, Japan, 7Department of Neurology, Nagoya City University, Aichi, Japan
A prediction
model of Aβ deposition was created based on multiple regression analysis of
quantitative susceptibility mapping (QSM). The results showed that the model
could predict Aβ positivity at moderate accuracy.
Figure 1. Mean images of SUVR and QSM for Aβ positive and negative patients.
Figure 2. Evaluation results.