"LiverColor": Machine Learning in Liver Photographs
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- STATUS
- Recruiting
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- End date
- Dec 31, 2023
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- participants needed
- 246
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- sponsor
- Hospital Vall d'Hebron
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.
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.
Details
| Condition | Brain Death, Liver Steatosis |
|---|---|
| Treatment | Liver from deceased donors |
| Clinical Study Identifier | NCT05202886 |
| Sponsor | Hospital Vall d'Hebron |
| Last Modified on | 23 March 2022 |
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