Status:

UNKNOWN

"LiverColor": Machine Learning in Liver Photographs

Lead Sponsor:

Hospital Vall d'Hebron

Conditions:

Brain Death

Liver Steatosis

Eligibility:

All Genders

Phase:

NA

Brief Summary

The main goal of this project is to create a machine learning model in order to quantify liver steatosis in liver donor faster, more objective and reliable than histological analysis and surgeons poin...

Detailed Description

Surgeons (junior and senior operators) from the HBP \& Transplantation Unit took the pictures. They were taken after the laparotomy and before any type of surgical procedure. For each deceased donor c...

Eligibility Criteria

Inclusion

  • Livers from donor donor brain death with informed consent before inclusion in the study was obtained from all participants or families.

Exclusion

  • Age \< 18 years old
  • Donor after cardiac death
  • Split
  • Cholestasis due to a biliary obstruction
  • Total bilirubin levels above 2,5 mg/dL
  • Glutamic oxaloacetic transaminase (SGOT)/ serum glutamatepyruvate transaminase (SGPT) levels and gamma-glutamyl transaminase (GGT) levels above 400 U/L
  • Cirrhotic livers

Key Trial Info

Start Date :

June 30 2018

Trial Type :

INTERVENTIONAL

Allocation :

ESTIMATED

End Date :

December 31 2023

Estimated Enrollment :

246 Patients enrolled

Trial Details

Trial ID

NCT05202886

Start Date

June 30 2018

End Date

December 31 2023

Last Update

January 24 2022

Active Locations (1)

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1

Concepción Gómez-Gavara

Barcelona, Spain

"LiverColor": Machine Learning in Liver Photographs | DecenTrialz