Machine learning based on gadoxetic acid-enhanced MRI for differentiating atypical intrahepatic mass-forming cholangiocarcinoma from poorly differentiated hepatocellular carcinoma.

Purpose: The study was to develop a Gd-EOB-DTPA-enhanced MRI radiomics model for differentiating atypical intrahepatic mass-forming cholangiocarcinoma (aIMCC) from poorly differentiated hepatocellular carcinoma (pHCC). Materials and methods: A total of 134 patients (51 aIMCC and 83 pHCC) who underwe...

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Bibliographic Details

Published in:	Abdominal Radiology Vol. 48; no. 8; pp. 2525 - 2537
Main Authors:	Chen, Xiang, Chen, Ying, Chen, Haobo, Zhu, Jingfen, Huang, Renjun, Xie, Junjian, Zhang, Tao, Xie, An, Li, Yonggang
Format:	Journal Article
Published:	Springer Nature Aug2023
Online Access:	View this record in EBSCOhost