A predictive model for optimal CT-guided thermal ablation margins in liver malignancies ≤3 cm: a retrospective cohort study
This study establishes and validates a computational model defining tumor size- and vessel proximity-specific optimal ablation margins for liver malignancies ≤3 cm. The web-accessible model provides evidence-based individualized ablation targets that optimize oncological efficacy while preserving parenchyma, replacing conventional fixed margins.
Authors
- Tian Gao (ORCID: https://orcid.org/0000-0003-2512-896X)
- Guisong Wang (ORCID: https://orcid.org/0000-0002-6890-2495)
- Guobao Wang (ORCID: https://orcid.org/0000-0001-6526-1533)
- Zhihui Zhong (ORCID: https://orcid.org/0000-0001-7892-9029)
- Zixiong Chen (ORCID: https://orcid.org/0000-0001-7151-8024)
- Lijie Qiu
- Yuzhe Cao
- Zhenkang Qiu
- Jingshuo Li
- Han Qi
- Fei Gao
Institutions
- Sun Yat-sen University (CN)
- Second Affiliated Hospital of Guangzhou Medical University (CN)
- Sun Yat-sen University Cancer Center (CN)
- State Key Laboratory of Oncology in South China
- Guangzhou Medical University (CN)
Publication Details
- Journal
- International Journal of Surgery
- Published
- 2026-01-13
- DOI
- https://doi.org/10.1097/js9.0000000000004764
- Primary Topic
- Hepatocellular Carcinoma Treatment and Prognosis
- Type
- article
- Field-Weighted Citation Impact
- 0.00