Deep learning for hepatocellular carcinoma recurrence before and after liver transplantation: a multicenter cohort study

doi:10.1038/s41598-025-91728-z

	Deep learning for hepatocellular carcinoma recurrence before and after liver transplantation: a multicenter cohort study
	Cao, Shuang 1; Yu, Sihan 2; Huang, Liangbin 3; Seery, Samuel 4,5; Xia, Yu 6; Zhao, Yongwei 7; Si, Zhongzhou 8; Zhang, Xinxue 9; Zhu, Jiqiao 9; Lang, Ren 9; Kou, Jiantao 9; Zhang, Haiming 1; Wei, Lin 1; Zhou, Guangpeng 1; Sun, Liying 1; Wang, Lei 10; Li, Ting 8; He, Qiang 9; Zhu, Zhijun 1
	2025-03-05
发表期刊	SCIENTIFIC REPORTS
ISSN	2045-2322
卷号	15 期号:1 页码:10
摘要	Hepatocellular carcinoma (HCC) recurrence after liver transplantation (LT) is a major contributor to mortality. We developed a recurrence prediction system for HCC patients before and after LT. Data from patients with HCC who underwent LT were retrospectively collected from three specialist centres in China. Pre- and post-operative variables were selected using support vector machine, random forest, and logistic regression (LR). Then, pre- and post-operative models were developed using three machine learning methods: LR, stacking, and two survival-based approaches. Models were evaluated using seven assessment indices, and patients were classified as either high- or low-risk based on recurrence risk. 466 patients were included and followed for a median of 51.0 months (95% CI 47.8-54.2). The pre-DeepSurv model (pre-DSM) had a C-index of 0.790 +/- 0.003 during training, 0.775 +/- 0.037 during testing, and 0.765 +/- 0.001 and 0.819 +/- 0.002 during external validation. After incorporating clinicopathologic variables, the post-DeepSurv model (post-DSM) had a 0.835 +/- 0.008 C-index during training, 0.812 +/- 0.082 during testing, and 0.839 +/- 0.001 and 0.831 +/- 0.002 during external validation. The post-DSM outperformed the Milan criteria by more accurately identifying patients at high risk of recurrence. Tumour recurrence predictions also improved significantly with DeepSurv. Both pre- and post-DSMs have the potential to guide personalised surveillance strategies for LT patients with HCC.
关键词	Hepatocellular carcinoma Liver transplantation Recurrence predictive models Deep learning DeepSurv
DOI	10.1038/s41598-025-91728-z
收录类别	SCI
语种	英语
资助项目	Tongzhou District Science and echnology Innovation Talent Support Project[CXTD2024007] ; Beijing Postdoctoral Research Foundation
WOS研究方向	Science & Technology - Other Topics
WOS类目	Multidisciplinary Sciences
WOS记录号	WOS:001440274800047
出版者	NATURE PORTFOLIO
引用统计	被引频次：1[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/40723
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Wang, Lei; Li, Ting; He, Qiang; Zhu, Zhijun
作者单位	1.Capital Med Univ, Beijing Friendship Hosp, Natl Clin Res Ctr Digest Dis, State Key Lab Digest Hlth,Liver Transplantat Ctr,C, 95 Yongan Rd, Beijing 100050, Peoples R China 2.Chinese Acad Med Sci, Beijing Hosp, Inst Geriatr Med, Natl Ctr Gerontol,Cardiol Dept, Beijing 100730, Peoples R China 3.Univ South China, Affiliated Changsha Cent Hosp, Hengyang Med Sch, Dept Breast & Thyroid Surg, Changsha 410028, Hunan, Peoples R China 4.Chinese Acad Med Sci & Peking Union Med Coll, Peking Union Med Coll Hosp, Dept Humanities & Social Sci, Beijing 100730, Peoples R China 5.Newcastle Univ, Sch Pharm, NEWCASTLE UPON TYNE NE1 4LP, England 6.Tsinghua Univ, Grad Sch, Beijing 100084, Peoples R China 7.Chinese Acad Sci, Inst Comp Technol, State Key Lab Processors, Beijing 100190, Peoples R China 8.Cent South Univ, Xiang Ya Hosp 2, Dept Liver Transplantat, Changsha 410011, Peoples R China 9.Capital Med Univ, Beijing Chaoyang Hosp, Med Res Ctr, Beijing Organ Transplant Ctr,Dept Hepatobiliary &, Beijing 100020, Peoples R China 10.Capital Med Univ, Beijing Obstet & Gynecol Hosp, Beijing Maternal & Child Hlth Care Hosp, Beijing 100026, Peoples R China
推荐引用方式 GB/T 7714	Cao, Shuang,Yu, Sihan,Huang, Liangbin,et al. Deep learning for hepatocellular carcinoma recurrence before and after liver transplantation: a multicenter cohort study[J]. SCIENTIFIC REPORTS,2025,15(1):10.
APA	Cao, Shuang.,Yu, Sihan.,Huang, Liangbin.,Seery, Samuel.,Xia, Yu.,...&Zhu, Zhijun.(2025).Deep learning for hepatocellular carcinoma recurrence before and after liver transplantation: a multicenter cohort study.SCIENTIFIC REPORTS,15(1),10.
MLA	Cao, Shuang,et al."Deep learning for hepatocellular carcinoma recurrence before and after liver transplantation: a multicenter cohort study".SCIENTIFIC REPORTS 15.1(2025):10.