Abstract #0334

Imaging-based Hepatic fibrosis staging of patients with hepatitis B: a radiomics analysis study on Gd-EOB-DTPA-enhanced MRI

Rencheng Zheng¹, Tian Qiu², Nannan Shi², Yuxin Shi², Weibo Chen³, Chengyan Wang⁴, and He Wang^4,5

¹Fudan University, Shanghai, China, ²ShanghaiPublic Health Clinical Center, Shanghai, China, ³Philips Healthcare, Shanghai, China, ⁴Human Phenome Institute, Fudan University, Shanghai, China, ⁵Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China

This study proposed an automatic hepatic fibrosis staging model based on transfer learning segmentation and radiomics analysis for hepatitis B patients. The automatic liver ROI extarction Time dimension features of multi DCE phases were included in feature set which played an important role in the classification. The proposed model exhibited a superior performance in significant fibrosis, advanced fibrosis and cirrhosis classification.

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