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 |