Abstract #3491

Arterial spin labeling (ASL)-based radiomics features for predicting perfusion territory changes after carotid endarterectomy: a pilot study

Tianye Lin¹, Chencui Huang², Jianxun Qu³, Bing Wu³, Panli Zuo², Xiangfei Chai², and Feng Feng⁴

¹Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China, ². Huiying Medical Technology Co., Ltd, Beijing, China, ³GE Healthcare, MR Research China, Beijing, China, ⁴Peking Union Medical College Hospital, Beijing, China

To investigate whether radiomics can be apply to cerebrovascular disease and to develop features based on ASL for predicting perfusion territory change after carotid endarterectomy (CEA). A total of 1029 features were derived from ASL images, and 14 features were selected when comparing the differences between the two groups (select K best P<0.05). The selected features in difference are in agreement with visual inspection of collateral flow based on arterial transit artifact (ATA) on ASL.

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