Prediction of prognosis of immune checkpoint inhibitors combined with anti-angiogenic agents for unresectable hepatocellular carcinoma by machine learning-based radiomics

Prediction of prognosis of immune checkpoint inhibitors combined with anti-angiogenic agents for unresectable hepatocellular carcinoma by machine learning-based radiomics

Abstract Objectives This study aims to develop and validate a novel radiomics model utilizing magnetic resonance imaging (MRI) to predict progression-free survival (PFS) in patients with unresectable hepatocellular carcinoma (uHCC) who are receiving a combination of immune checkpoint inhibitors (ICI...

Full description

Saved in:
Bibliographic Details
Main Authors: Xuni Xu, Xue Jiang, Haoran Jiang, Xiaoye Yuan, Mengjing Zhao, Yuqi Wang, Gang Chen, Gang Li, Yuxia Duan
Format: Article
Language:English
Published: BMC 2025-05-01
Series:BMC Cancer
Subjects:
Hepatocellular carcinoma
Radiomics
Progression‑free survival
Immune checkpoint inhibitors
Anti-angiogenic agents
Online Access:https://doi.org/10.1186/s12885-025-14247-0
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1186/s12885-025-14247-0

Similar Items