What question did this study set out to answer?

The review aims to explore radiomics as a method to enhance prediction of treatment responses in hepatocellular carcinoma immunotherapy.

May 29, 2026Journal of Hepatocellular CarcinomaOpen Access

Decoding Treatment Response in Hepatocellular Carcinoma: The Era of Radiomics and Radiogenomics

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Authors

ZWZongding WangPeople's Hospital of Kaizhou District WGWenjie GanDalian Medical University JGJianping GongDalian Medical University

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Implication

This review summarizes advances in predicting treatment response in hepatocellular carcinoma immunotherapy, highlighting implications for patient management.

Key Points

The review aims to explore radiomics as a method to enhance prediction of treatment responses in hepatocellular carcinoma immunotherapy.
Systematic review of radiomics applications in HCC immunotherapy, focusing on imaging data analysis.
Feature extraction and model construction from multimodal imaging to assess treatment responses and tumor characteristics.
Discussion of challenges like limited sample sizes and suggestions for future multicenter studies.
Radiomics effectively predicts treatment responses and evaluates features of the tumor immune microenvironment.
Challenges include limited sample sizes affecting model robustness and generalization to clinical settings.
Future directions include advocating for standardized multicenter studies and integrating multi-omics data for improved outcomes.

Cite This Study

Wang et al. (2026) studied this question.

synapsesocial.com/papers/6a192cb4fab5b468c44158fa https://doi.org/10.2147/jhc.s595928

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Implication

This review summarizes advances in predicting treatment response in hepatocellular carcinoma immunotherapy, highlighting implications for patient management.

Decoding Treatment Response in Hepatocellular Carcinoma: The Era of Radiomics and Radiogenomics

Discussion

Member takes

Implication

Key Points

Cite This Study

Decoding Treatment Response in Hepatocellular Carcinoma: The Era of Radiomics and Radiogenomics

Discussion

Member takes

Implication

Key Points

Cite This Study

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