"LiverColor": Machine Learning in Liver Photographs

Status Recruiting

Clinical Trial 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 point-of-view.

Clinical Trial 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 case, a total of 5 pictures were taken: one for the left lobe and another for the right one before undergoing a surgical biopsy, two more (one for the left and one for the right lobe) after the histological analysis, near to the site of the surgical biopsy, and finally, one picture after liver perfusion. ;

Study Design

Related Conditions & MeSH terms

Clinical Trial Details

NCT number	NCT05202886
Study type	Interventional
Source	Hospital Vall d'Hebron
Contact	Concepcion Gómez-Gavara, PhD
Phone	+34696690464
Email	imgoga@hotmail.com
Status	Recruiting
Phase	N/A
Start date	June 30, 2018
Completion date	December 31, 2023

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