Gadoxetic acid-enhanced MRI for identifying cholangiocyte phenotype hepatocellular carcinoma by interpretable machine learning: individual application of SHAP

Gadoxetic acid-enhanced MRI for identifying cholangiocyte phenotype hepatocellular carcinoma by interpretable machine learning: individual application of SHAP

Abstract Purpose Cholangiocyte phenotype hepatocellular carcinoma (HCC) is highly invasive. This study aims to develop and validate an optimal machine learning model to predict cholangiocyte phenotype HCC based on T1 mapping gadoxetic acid-enhanced MRI and to implement individual applications via th...

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Bibliographic Details
Main Authors: Wei Liu, Zhiping Cai, Yifan Chen, Xingqun Guan, Jieying Feng, Haixiong Chen, Baoliang Guo, Fusheng OuYang, Chun Luo, Rong Zhang, Xinjie Chen, Xiaohong Li, Cuiru Zhou, Shaomin Yang, Ziwei Liu, Qiugen Hu
Format: Article
Language:English
Published: BMC 2025-04-01
Series:BMC Cancer
Subjects:
Cholangiocyte phenotype
Hepatocellular carcinoma
Magnetic resonance imaging
Machine learning
Online Access:https://doi.org/10.1186/s12885-025-14147-3
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