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July 17, 2024Frontiers in MedicineOpen Access

Enhancing prognostic prediction in hepatocellular carcinoma post-TACE: a machine learning approach integrating radiomics and clinical features

Mingqi Zhang Bingling Kuang Jingxuan Zhang Jingyi Peng Haoming Xia Xiaobin Feng Peng Liang

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Abstract

This study aimed to investigate the use of radiomics features and clinical information by four machine learning algorithms for predicting the prognosis of patients with hepatocellular carcinoma (HCC) who have been treated with transarterial chemoembolization (TACE).

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Cite This Study

Zhang et al. (2024) studied this question.

synapsesocial.com/papers/68e5fefbb6db643587593197 https://doi.org/10.3389/fmed.2024.1419058

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Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1A novel radiomics approach for predicting TACE outcomes in hepatocellular carcinoma patients using deep learning for multi-organ segmentation2024 · 22 citations
2A Machine Learning Model Based on Counterfactual Theory for Treatment Decision of Hepatocellular Carcinoma Patients2024 · 2 citations
3Survival Prediction and Treatment Decisions in Hepatocellular Carcinoma: A Deep Learning-Based Radiomics ApproachPrognostic Study · 2026
4Chemoembolization for Hepatocellular Carcinoma Including Contrast Agent-Enhanced CT: Response Assessment Model on Radiomics and Artificial Intelligence2024 · 2 citations
5Using Machine Learning to Predict Advanced-Stage Progression of Intermediate-Stage Hepatocellular Carcinoma after Transarterial Chemoembolization2025 · 3 citations

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A CT-Based Deep Learning Radiomics Scoring System for Predicting the Prognosis to Repeat TACE in Patients with Hepatocellular Carcinoma: A Multicenter Cohort Study2025
Development of a predictive model for distant metastasis in HCC patients post-TACE using clinical data, radiomics, and deep learning2025
Advancing predictive oncology: Integrating clinical and radiomic models to optimize transarterial chemoembolization outcomes in hepatocellular carcinoma2025

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