18F-FDG PET/CT-based habitat radiomics combining stacking ensemble learning for predicting prognosis in hepatocellular carcinoma: a multi-center study

18F-FDG PET/CT-based habitat radiomics combining stacking ensemble learning for predicting prognosis in hepatocellular carcinoma: a multi-center study

Abstract Background This study aims to develop habitat radiomic models to predict overall survival (OS) for hepatocellular carcinoma (HCC), based on the characterization of the intratumoral heterogeneity reflected in 18F-FDG PET/CT images. Methods A total of 137 HCC patients from two institutions we...

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Bibliographic Details
Main Authors: Chunxiao Sui, Qian Su, Kun Chen, Rui Tan, Ziyang Wang, Zifan Liu, Wengui Xu, Xiaofeng Li
Format: Article
Language:English
Published: BMC 2024-11-01
Series:BMC Cancer
Subjects:
18F-FDG PET/CT
Habitat radiomics
Stacking ensemble learning
HCC
Prognosis
Online Access:https://doi.org/10.1186/s12885-024-13206-5
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