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. 2026 Sep 28;16:1957598. doi: 10.3389/fonc.2026.1957598

Table 2.

Established HCC treatment pathways and potential precision refinement.

Established treatment pathway Primary clinical determinants Potential precision refinement Current evidence status
Hepatic resection Liver function, portal hypertension, tumor burden, vascular involvement, technical resectability, performance status Refinement of recurrence-risk assessment, MVI risk, biological aggressiveness, and perioperative risk using radiomics, biomarkers, AI, and host factors Established treatment; precision refinement remains investigational
Liver transplantation Liver function, tumor burden, transplant criteria, portal hypertension, extrahepatic disease, patient suitability Biological response, AFP dynamics, and emerging molecular or circulating biomarkers may refine selection and post-treatment assessment Established treatment pathway; most biological refinements remain investigational
Ablation Tumor size, number, location, liver function, and technical feasibility Imaging-derived tumor phenotype and biological risk may support patient selection and recurrence-risk stratification Established treatment; precision refinement remains investigational
Locoregional therapy Tumor burden, vascular involvement, liver function, extrahepatic disease, and treatment feasibility Imaging phenotype, treatment-response assessment, and emerging biomarkers may help refine treatment selection and sequencing Established treatment; precision refinement remains investigational
Systemic therapy Tumor stage, liver function, performance status, prior treatment, and treatment eligibility Molecular, immune, and circulating biomarkers may refine biological characterization and treatment-response assessment Established treatment; biomarker-guided selection remains limited and investigational
Conversion surgery/multimodality treatment Initial unresectability, treatment response, residual disease, liver function, and technical resectability Dynamic imaging, biological response, ctDNA, and AI-based prediction may potentially assist assessment of treatment response and timing of reassessment for surgery Promising but not yet standardized; precision-guided selection remains investigational
Surveillance and recurrence management Tumor stage, recurrence risk, liver disease status, and established imaging/laboratory surveillance Longitudinal biomarkers, radiomics, AI, and digital monitoring may refine recurrence-risk assessment and surveillance intensity Established surveillance principles; emerging tools remain investigational