Machine-learning analysis of contrast-enhanced computed tomography radiomics predicts patients with hepatocellular carcinoma who are unsuitable for initial transarterial chemoembolization monotherapy: A multicenter study

Machine-learning analysis of contrast-enhanced computed tomography radiomics predicts patients with hepatocellular carcinoma who are unsuitable for initial transarterial chemoembolization monotherapy: A multicenter study

Introduction: Due to the high heterogeneity of hepatocellular carcinoma (HCC), patients with non-advanced disease who are unsuitable for initial transarterial chemoembolization (TACE) monotherapy may have the potential to develop extrahepatic spread or vascular invasion. We aimed to develop and inde...

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Bibliographic Details
Main Authors: Zhicheng Jin, Li Chen, Binyan Zhong, Haifeng Zhou, Haidong Zhu, Hai Zhou, Jingjing Song, Jinhe Guo, Xiaoli Zhu, Jiansong Ji, Caifang Ni, Gaojun Teng
Format: Article
Language:English
Published: Elsevier 2021-04-01
Series:Translational Oncology
Subjects:
Hepatocellular carcinoma
Transarterial chemoembolization
Radiomics
Unsuitable
Extrahepatic spread
Vascular invasion
Online Access:http://www.sciencedirect.com/science/article/pii/S1936523321000267

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http://www.sciencedirect.com/science/article/pii/S1936523321000267

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