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Abstract #0827

Radiomic analysis on symptomatic and asymptomatic intracranial atherosclerotic plaque using high resolution MRI

Zhang Shi1, Chengcheng Zhu2, Bing Tian1, Jianping Lu3, and QI Liu1

1Radiology, Changhai Hospital, Shanghai, China, 2Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States, 3Radiology, Changhai Hosptial, Shanghai, China

This study aims to evaluate a quantitative radiomic approach including texture analysis based on HR-MRI to differentiate acute symptomatic plaque from asymptomatic plaque. 158 patients with middle cerebral artery and basilar artery stenosis underwent HR-MRI. The stenosis value, plaque area/burden, lumen area, intraplaque hemorrhage (IPH), contrast enhancement ratio and 109 quantitative radiomic features were extracted. Multivariate logistic analysis and a random forest model were performed. The result was shown that smoking, IPH and enhancement ratio were independently associated with symptomatic plaques. Radiomic features in T2, T1 and CE-T1 images were associated with symptomatic plaques, whose AUC respectively are 0.801,0.835 and 0.846. The combined all radiomic approach had a significantly higher AUC of 0.953. Combination of all features reached an AUC of 0.976, with accuracy of 87.4%. Radiomic analysis accurately distinguished between acutely symptomatic plaques and asymptomatic plaques.

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