Estimation and Prediction of Individual Benefit From Postoperative Adjuvant Transcatheter Arterial Chemoembolization For Patients With Hepatocellular Carcinoma
NCT07562763 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 1005
Last updated 2026-05-01
Summary
Adjuvant transarterial chemoembolization (TACE) is widely adopted in China for resectable hepatocellular carcinoma (HCC), yet its efficacy remains inconsistent. We aimed to identify factors influencing individual patient benefit using causal machine learning. To this end, we retrospectively collected HCC patients with high risk factors for tumor recurrence from four centers of China, divided into the discovery cohort and the validation cohort . The primary endpoint was disease-free survival (DFS). The primary endpoint was overall survival (OS).Individual treatment effects (ITEs) were estimated within a causal machine learning framework. An ITE \< 0 was considered recommendation for adjuvant TACE , while ITE ≥ 0 indicated active surveillance. The model would be validated in the validation cohort. The contribution of each variable to ITE was assessed using the Shapley Additive Explanations (SHAP). An online calculator would be developed for future use by public.
Conditions
- Hepatocellular Carcinoma (HCC)
- Transarterial Chemoembolization
- Adjuvant Therapy
- Machine Learning
- Treatment Effectiveness
Sponsors & Collaborators
-
The Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School
collaborator OTHER -
Sun Yat-Sen University Cancer Center
collaborator OTHER -
No.2 People's Hospital of Fuyang City
collaborator UNKNOWN -
Anhui Provincial Hospital
lead OTHER_GOV
Principal Investigators
-
Lianxin Liu, Ph.D. · The First Affiliated Hospital of USTC
Eligibility
- Min Age
- 18 Years
- Max Age
- 85 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2018-01-01
- Primary Completion
- 2025-12-31
- Completion
- 2025-12-31
Countries
- China
Study Locations
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