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Abstract #0337

Radiomic Analysis Based on Diverse Volumetric Interests Predicts Microvascular Invasion in Solitary Hepatocellular Carcinoma

Huanhuan Chong1, Li Yang1, Yangli Yu1, Dijia Wu2, Chun Yang1, and Mengsu Zeng1
1Department of Radiology, Shanghai Institute of Medical Imaging, Zhongshan Hospital of Fudan University, Shanghai, China, 2Shanghai United Imaging Intelligence Co., Ltd, Shanghai, China

This study aims to construct a preoperative MVI prediction model in solitary HCC derived from gadoxetic acid-enhanced magnetic resonance imaging, and to further investigate its latent association with clinical indexes, imaging features and radiomics signatures based on diverse sequences and volumetric interests (VOIs) of tumor. The conclusion indicated that serum α-fetoprotein, total bilirubin, higher value of tumor margin smoothness (prefer to non-smooth margin), non-intact capsule enhancement and peritumoral enhancement are independent and significant predictors for MVI, and the final nomogram incorporating clinical, imaging and the optimal radiomics model based on VOI_entire_5mm_10mm_liver achieves satisfactory prediction for MVI in solitary HCC.

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