Gadoxetic Acid–enhanced MRI Radiomics Features of Tumor Margins for Predicting High-Risk Solitary Hepatocellular Carcinoma Aggressiveness and Prognosis

Radiology Imaging Cancer 2026 Open access

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Authors: Can Yu, Xinxin Wang, Shuli Tang, Yan Li, Shuai Han, Qiuju Zhang, Jinrong Qu, Haitao Xu, Yang Zhou
DOI: 10.1148/rycan.250220
Cited by: 1
References: 51

Abstract

MRI, Machine Learning, Radiomics, Radiogenomics, Abdomen/GI, Liver, Surgery, High-Risk Solitary Hepatocellular Carcinoma, Tumor Margin, Microvascular Invasion, Gd-EOB-DTPA-enhanced MRI, OATP1B3 © The Author(s) 2026. Published by the Radiological Society of North America under a CC BY 4.0 license.

Fields of Study & Subjects

Radiomics and Machine Learning in Medical Imaging Hepatocellular Carcinoma Treatment and Prognosis MRI in cancer diagnosis

Publication details

Journal / source
Radiology Imaging Cancer
Publisher
Radiological Society of North America (RSNA)
Volume
8
Issue
1
Pages
e250220–e250220
Publication date
1 January 2026
Language
EN