Hanyu Wei1, Le He1, Rongsong Zhou2, Shuo Chen1, Miaoqi Zhang1, Wenwen Chen1, Xuesong Li3, Yu Ma2, and Rui Li1
1Center for biomedical imaging research, Tsinghua University, Beijing, China, 2Department of Neurosurgery, Tsinghua University Yuquan Hospital, Beijing, China, 3School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China
1Center for biomedical imaging research, Tsinghua University, Beijing, China, 2Department of Neurosurgery, Tsinghua University Yuquan Hospital, Beijing, China, 3School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China
Pre-surgical medication “on” and “off” MR
perfusion patterns may predict the DBS outcome in PD patients by machine
learning models.
Figure. 1 A: Flow chart of the
image-analysis pipeline. B Main procedures of predictive model construction and
evaluation.
Figure. 2 A: Bland-Altman
analysis of measured and predicted UPDRS improvement, the paired t-test
significance p=0.94 and mean prediction
error of 9.0% UPDRS improvement. B: Correlation analysis of
measured and predicted UPDRS improvement, the correlation r=0.87, p<0.001.