"LiverColor": Machine Learning in Liver Photographs
"LiverColor": AN ALGORITHM QUANTIFICATION OF LIVER GRAFT STEATOSIS USING MACHINE LEARNING AND COLOR IMAGE PROCESSING
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Anticipated)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Contact
Study Contact
- Name: Concepcion Gómez-Gavara, PhD
- Phone Number: +34696690464
- Email: imgoga@hotmail.com
Study Locations
-
-
-
Barcelona, Spain
- Recruiting
- Concepción Gómez-Gavara
-
Contact:
- Concepción Gómez-Gavara, PhD
- Phone Number: 0034696690464
- Email: imgoga@hotmail.com
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
- Older Adult
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- Livers from donor donor brain death with informed consent before inclusion in the study was obtained from all participants or families.
Exclusion Criteria:
- 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
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Diagnostic
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Experimental: Liver from deceased donors
This study included all consecutive subjects with chronic liver disease who underwent LT for the first time with a deceased donor liver
|
Liver donors photographed
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
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.
Time Frame: 4 weeks
|
Accuracy
|
4 weeks
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
To build an image dataset to evaluate postransplant liver function.
Time Frame: 1 week
|
PDF will be evaluated according to Olthoff criteria
|
1 week
|
Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Principal Investigator: Concepcion Gómez-Gavara, PhD, Vall d´Hebron University Hospital
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Anticipated)
Primary Completion
Study Completion (Anticipated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- PR(AG)04/2018
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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