MedTrace Logo

Deep Learning Model for the Prediction of Post-LT HCC Recurrence

NCT05200195 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 4026

Last updated 2022-06-30

No results posted yet for this study

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.

Conditions

Interventions

PROCEDURE

Liver transplantation

Deceased or living donor liver transplantation for the cure of hepatocellular cancer on cirrhosis

Sponsors & Collaborators

  • European Hepatocellular Cancer Liver Transplant Group

    lead OTHER

Principal Investigators

  • Quirino Lai, MD PhD · University of Roma La Sapienza

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2020-01-15
Primary Completion
2021-12-15
Completion
2022-03-15

Countries

  • Italy

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05200195 on ClinicalTrials.gov