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Radiomics in Hepatology: Therapeutic Applications in Hepatocellular Carcinoma.

Clinics in liver disease 2025 Vol.29(4) p. 717-741

Kim TH, Do RKG, Akin O, Schwartz LH

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Imaging is essential in hepatocellular carcinoma (HCC) management, from screening to treatment assessment, but qualitative methods have limitations.

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APA Kim TH, Do RKG, et al. (2025). Radiomics in Hepatology: Therapeutic Applications in Hepatocellular Carcinoma.. Clinics in liver disease, 29(4), 717-741. https://doi.org/10.1016/j.cld.2025.06.004
MLA Kim TH, et al.. "Radiomics in Hepatology: Therapeutic Applications in Hepatocellular Carcinoma.." Clinics in liver disease, vol. 29, no. 4, 2025, pp. 717-741.
PMID 41109699

Abstract

Imaging is essential in hepatocellular carcinoma (HCC) management, from screening to treatment assessment, but qualitative methods have limitations. Radiomics, a quantitative imaging approach, extracts high-dimensional features to enhance diagnostic, prognostic, and therapeutic decision-making. It shows promise in predicting treatment response and guiding personalized therapies. Integrating radiomics with artificial intelligence, particularly deep learning, could further improve predictive accuracy and clinical utility. Future efforts should focus on standardization, validation, and developing accessible tools to incorporate radiomics into routine therapeutic strategies, ultimately optimizing patient outcomes in HCC.

MeSH Terms

Humans; Carcinoma, Hepatocellular; Liver Neoplasms; Artificial Intelligence; Deep Learning; Prognosis; Radiomics

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