Hepatocellular Carcinoma (HCC)
Conditions
Brief summary
The Rboost causal model can identify patients who are most likely to benefit among HCC-BDTT patients. Adherence to the individualized recommendation improves survival. This data-driven tool offers vital support for precision surgical decision-making in this high-risk disease.
Detailed description
This dual-center study recruited 151 HCC-BDTT patients who underwent radical hepatectomy (training cohort: 92; validation cohort: 59). An XGBoost-based R-learner (Rboost) algorithm was developed to estimate the individualized treatment effect (ITE) on 5-year overall survival (OS) between BDR and NBDR. Patients were stratified into ITE tertiles: BDR-recommended, ambiguous benefit, and NBDR-recommended. Model performance assessed with heterogeneity metrics (C-for-benefit, adjusted Qini index). Survival outcomes were compared within ITE strata between surgeries concordant and discordant with model recommendations (Kaplan-Meier/log-rank). Two-year disease-free survival (DFS) served as a treatment-proximal validity check.
Interventions
This group includes biliary/enteric reconstruction, bile duct resection with thrombectomy, and biliary tract interventions
Sponsors
Study design
Eligibility
Inclusion criteria
* Pathologically confirmed HCC with BDTT; * Absence of extrahepatic malignancies at the time of HCC diagnosis; * Undergone R0 curative hepatectomy; * No prior antitumor therapies, such as chemotherapy or immunotherapy, before surgery; * Availability of preoperative imaging (CT or MRI) with standardized tumor evaluation.
Exclusion criteria
* Pathological findings indicating concurrent cholangiocarcinoma and HCC; * Loss to follow-up, preventing outcome evaluation, or insufficient clinical data for analysis. * Significant comorbidities (e.g., severe cardiac or renal failure) that could affect surgical outcomes.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Treatment Effects | 2025.09.01 | 5-year overall survival (OS) |
Countries
China