Anatomical resection is associated with reduced early recurrences in HCC: A machine learning analysis
Causal forest modeling enables the detection of HTEs of AR in patients with HCC based on multiple clinical-radiological characteristics. Radiological tumor size ≤5 cm and non-smooth tumor margins were identified as significant modifiers and should be taken into consideration when selecting between AR and non-AR. Based on these findings, over 30% of the study population who underwent non-AR might have experienced a reduced risk of early recurrence and improved RFS if AR had been performed, thereby supporting the importance of personalized selection of the optimal hepatectomy type in patients with HCC.
Authors
- Tianyu Tang (ORCID: https://orcid.org/0000-0001-5463-8008)
- Xiangming Fang (ORCID: https://orcid.org/0000-0001-9922-8977)
- Tianyi Xia (ORCID: https://orcid.org/0000-0001-9341-7742)
- Xueying Long (ORCID: https://orcid.org/0000-0002-3457-4147)
- Fang‐Ming Chen (ORCID: https://orcid.org/0000-0002-5427-6868)
- Xiangpan Meng (ORCID: https://orcid.org/0000-0002-2917-2418)
- Yu Qian (ORCID: https://orcid.org/0000-0003-1327-9891)
- Jitao Wang (ORCID: https://orcid.org/0000-0002-3071-494X)
- Yongping Zhou (ORCID: https://orcid.org/0000-0003-1685-0491)
- Wenbo Xiao (ORCID: https://orcid.org/0000-0001-7124-1096)
- Yibing Shi (ORCID: https://orcid.org/0000-0003-4954-313X)
- Ben Y. Zhao (ORCID: https://orcid.org/0009-0003-8909-0494)
- Xinying Qu
- Shenghong Ju
Institutions
- Hebei Medical University (CN)
- Jiangnan University (CN)
- Central South University (CN)
- Zhongda Hospital Southeast University (CN)
- Xingtai People's Hospital (CN)
- Xuzhou Central Hospital (CN)
- Wuxi People's Hospital (CN)
- Xiangya Hospital Central South University (CN)
- First Affiliated Hospital Zhejiang University (CN)
Publication Details
- Journal
- JHEP Reports
- Published
- 2025-08-25
- DOI
- https://doi.org/10.1016/j.jhepr.2025.101565
- Primary Topic
- Hepatocellular Carcinoma Treatment and Prognosis
- Type
- article
- Field-Weighted Citation Impact
- 0.00