A Machine Learning Architecture to Predict Post-Hepatectomy Liver Failure Using Liver Regeneration Biomarkers and Time-Phased Data
PHLF predictio
PHLF predictio
Sponsor study identifier
observational
1,071
1 country
1
Study Start
April 1, 2023
Actual (reported)Primary Completion
April 1, 2025
Actual (reported)Study Completion
April 1, 2025
Actual (reported)Post-hepatectomy liver failure (PHLF) is the leading cause of morbidity and mortality following major hepatectomy. Existing prediction models fail to capture the dynamic liver regeneration and perioperative changes, limiting their predictive accuracy. We aimed to develop a machine learning (ML) modelling system (PILOT architecture) integrating liver regeneration biomarkers with time-phased perioperative clinical data to accurately predict PHLF risk.
Registry-reported information. Elapsed time and enrollment totals alone do not measure study progress or recruitment pace.
April 1, 2025
Actual (reported)Click on a node to explore related trials.
Dates and qualifiers reported by the registry. Estimated dates do not confirm that a milestone has occurred.
March 9, 2023
Actual (reported)March 22, 2023
Actual (reported)April 1, 2023
Actual (reported)April 1, 2025
Actual (reported)April 1, 2025
Actual (reported)Postoperative liver failure
1-5 days after surgery
Patients with Extensive Hepatology in our hospital
Department of Hepatobiliary and Pancreatic Surgery, Tenth People's Hospital of Tongji University, School of Medicine, Tongji University, Shanghai, China
Shanghai, 200092, China
Shen H, Yuan T, Si A, Shen Y, Liu J, Jin L, Xie Z, Zhang H, Wei W, Dai Y, Jiang T, He C, Zhang S, Hu Y, Huang S, Yang Z, Chen Y, Zhang X, Shen F, Qi X, Li J. Liver regeneration-associated machine learning architecture integrating time-phased predictions for post-hepatectomy liver failure. EClinicalMedicine. 2025 Nov 28;90:103661. doi: 10.1016/j.eclinm.2025.103661. eCollection 2025 Dec.
1,071 participants (actual enrollment reported by the registry).
First Submitted
March 9, 2023
First Posted
March 22, 2023
Study Start
April 1, 2023
Actual (reported)Contact the study team to confirm eligibility.
Primary Completion
April 1, 2025
Actual (reported)Study Completion
April 1, 2025
Actual (reported)Last Updated
May 22, 2025
Record last verified: 2025-05
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Source: ClinicalTrials.gov.
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