Abstract #3278

MRI-ASL Perfusion patterns may predict deep brain stimulation outcome in de novo Parkinson’s Disease

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

Deep brain stimulation(DBS) is routine treatment in Parkinson’s disease(PD) but its outcome varies among patients. It’s of benefit to investigate predictive value of pre-operative MR perfusion patterns in DBS outcome. In this study, regional cerebral blood flow(CBF) were measured by ASL both medication “on” and “off” before DBS surgery. Machine learning models were applied to select features and to predict the DBS outcome. Pre-operative MR perfusion patterns shows valuable to predict the DBS outcome in de novo PD patients. The Ridge regression performed best with good correlation(r=0.87，p<0.001) and good agreement with the measured DBS outcome at error level of 9.0%.

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