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Abstract #0492

Identification of high-risk plaque features in intracranial atherosclerosis: initial experience using high-resolution MRI with a quantitative radiomics approach

Zhang Shi1, Chengcheng Zhu2, Jianping Lu1, Tao Jiang1, David Saloner2, and Qi Liu1

1Radiology, Changhai Hospital, Shanghai, China, 2Radiology, University of California, San Francisco, CA, United States

This study aims to evaluate a radiomic approach including texture analysis based on HR-MRI to differentiate acute symptomatic plaque from asymptomatic plaque. 94 patients with basilar artery stenosis underwent HR-MRI. The stenosis value, plaque area/burden, lumen area, intraplaque hemorrhage (IPH), contrast enhancement ratio and 94 quantitative radiomic features were extracted. Multivariate logistic analysis and a random forest model were performed. Results: IPH and enhancement ratio were independently associated with acute symptoms. Radiomic features in T1 and CE-T1 images were associated with acute symptoms. The combined T1 and CE-T1 radiomic approach had a significantly higher AUC of 0.940. Conclusion: Radiomic analysis accurately distinguished between acutely symptomatic plaques and asymptomatic plaques.

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