Trials / Unknown
UnknownNCT05202886
"LiverColor": Machine Learning in Liver Photographs
"LiverColor": AN ALGORITHM QUANTIFICATION OF LIVER GRAFT STEATOSIS USING MACHINE LEARNING AND COLOR IMAGE PROCESSING
- Status
- Unknown
- Phase
- N/A
- Study type
- Interventional
- Enrollment
- 246 (estimated)
- Sponsor
- Hospital Vall d'Hebron · Academic / Other
- Sex
- All
- Age
- —
- Healthy volunteers
- Not accepted
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.
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 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.
Conditions
Interventions
| Type | Name | Description |
|---|---|---|
| DIAGNOSTIC_TEST | Liver from deceased donors | Liver donors photographed |
Timeline
- Start date
- 2018-06-30
- Primary completion
- 2023-12-31
- Completion
- 2023-12-31
- First posted
- 2022-01-24
- Last updated
- 2022-01-24
Locations
1 site across 1 country: Spain
Source: ClinicalTrials.gov record NCT05202886. Inclusion in this directory is not an endorsement.