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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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