A machine learning approach to identify optimal candidates for transarterial chemoembolization in unresectable HBV-related hepatocellular carcinoma complicated by first-branch portal vein tumor thrombus: a multicenter study

BackgroundPortal vein tumor thrombus (PVTT) is a critical factor influencing prognosis and treatment allocation for Hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC). However, accurately selecting patients with unresectable HCC and first-order branch PVTT (PVTT1) who would benefit from...

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Detalhes bibliográficos

Principais autores:	Suo Zhao, Qi Zhang, Yumeng Tang, Yichong Wang, Jiawei Song, Tenghui Han, Huadong Zhao, Yuheng Zhang, Chunzhi Yuan, Xiuqin Li, Jun Zhu, Lin Zhao
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Frontiers Media S.A. 2026-03-01
coleção:	Frontiers in Oncology
Assuntos:	first-branch portal vein tumor thrombus HBV-related hepatocellular carcinoma machine learning propensity score matching random survival forest transarterial chemoembolization
Acesso em linha:	https://www.frontiersin.org/articles/10.3389/fonc.2026.1766607/full
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