Deep Learning Model for the Prediction of Post-LT HCC Recurrence
TRAIN-AI
Development and Validation of a Deep Learning Model for the Prediction of Hepatocellular Cancer Recurrence After Transplantation: The Time-Radiological Response- AlphafetoproteIN-Artificial Intelligence Model
1 other identifier
observational
4,026
1 country
1
Brief Summary
Identifying patients at high risk for recurrence of hepatocellular carcinoma (HCC) after liver transplantation (LT) represents a challenging issue. The present study aims to develop and validate an accurate post-LT recurrence prediction calculator using the machine learning method.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Jan 2020
Typical duration for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
January 15, 2020
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 15, 2021
CompletedFirst Submitted
Initial submission to the registry
January 7, 2022
CompletedFirst Posted
Study publicly available on registry
January 20, 2022
CompletedStudy Completion
Last participant's last visit for all outcomes
March 15, 2022
CompletedJune 30, 2022
June 1, 2022
1.9 years
January 7, 2022
June 27, 2022
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Post-transplant HCC recurrence
Intra- and/or extrahepatic recidivism of HCC after liver transplantation
5 years from liver transplantation
Study Arms (3)
International Cohort Training Set
The Training Set of the International Cohort (N=3,670) was composed of the 80% (n=2936) HCC patients transplanted from 2000 to 2018 across 17 centers in Europe and Asia.
International Cohort Test Set
The Test Set of the International Cohort (N=3,670) was composed of the 20% (n=734) HCC patients transplanted from 2000 to 2018 across 17 centers in Europe and Asia.
Validation Cohort
The external Validation Cohort was composed of 356 HCC patients transplanted at the Columbia University, New York, during the period 2000-2018.
Interventions
Deceased or living donor liver transplantation for the cure of hepatocellular cancer on cirrhosis
Eligibility Criteria
All the consecutive adult (≥18 years) patients enlisted and transplanted with the primary diagnosis of HCC during the period 2000-2018 in the 18 centers composing the International and the Validation Cohorts
You may qualify if:
- Consecutive adult (≥18 years) patients enlisted and transplanted with the primary diagnosis of HCC during the period 2000-2018.
You may not qualify if:
- Patients with HCC diagnosed only at pathological examination (incidental HCC)
- Patients with mixed hepatocellular-cholangiocellular cancer misdiagnosed as HCC
- Patients with cholangiocellular cancer misdiagnosed as HCC
- Patients dying early after LT (≤ one month)
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Quirino Lai
Rome, RM, 00151, Italy
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Quirino Lai, MD PhD
University of Roma La Sapienza
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- RETROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Principal Investigator
Study Record Dates
First Submitted
January 7, 2022
First Posted
January 20, 2022
Study Start
January 15, 2020
Primary Completion
December 15, 2021
Study Completion
March 15, 2022
Last Updated
June 30, 2022
Record last verified: 2022-06
Data Sharing
- IPD Sharing
- Will not share