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Abstract #2993

The value of Radiomics combined with Machine Learning in the staging of liver Fibrosis

Fengxian Fan1, Weiting Huang2, Yanli Jiang1, Wanjun Hu1, Jing Zhang1, and Jialiang Ren3
1LanZhou University Second Hospital, LanZhou, China, 2LanZhou University, LanZhou, China, 3GE Healthcare, Shanghai, China

The purpose of this study is to develop radiomics models by using T1WI for staging liver fibrosis. Two hundred twenty-four patients had available pathologic reports of liver fibrosis and liver MRI were divided into training (n=179) and testing (n=45) cohorts to develop and validate the radiomics models. The results showed that the T1WI-based radiomics models had a powerful ability to stage liver fibrosis.

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