Diabetic Retinopathy Clinical Trial
— EviRedOfficial title:
Intelligent Evaluation of Diabetic Retinopathy
Brief Summary: The main objective of EviRed project is to develop and validate a system assisting the ophthalmologist by improving prediction of evolution, and decision making during diabetic retinopathy (DR) follow-up. It will replace the current classification of diabetic retinopathy (DR) which provides an insufficient prediction precision. It will use modern available fundus imaging devices and artificial intelligence (AI) to properly integrate the amount of data they provide with other medical data of the patient. A cohort of 5000 diabetic patients will be recruited and followed for an average of 2 years in order to collect data to train and validate the new prediction system.
Status | Recruiting |
Enrollment | 5000 |
Est. completion date | January 21, 2025 |
Est. primary completion date | December 21, 2024 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years and older |
Eligibility | Inclusion Criteria: - patient with type 1 or type 2 diabetes or other, - aged 18 years or more, - diabetes duration greater than 10 years for type 1 diabetes, - no previous vitrectomy, - patient affiliated to social security, - women of childbearing potential who are unwilling or unable to use a method to avoid pregnancy; women who are pregnant or breastfeeding can be included in the study. Exclusion Criteria: - ungradable fundus photography or OCT/OCTA imaging, - previous treatment with vitrectomy, - participant is unable or unwilling to comply with study procedures (including foreign language speakers who are not assisted by a native language speaker), - vulnerable participants (minors, legally detained), - patients under legal protection (guardianship), - prisoners or subjects who are involuntarily incarcerated |
Country | Name | City | State |
---|---|---|---|
France | Chu Avicenne | Bobigny | |
France | Chu Bordeaux | Bordeaux | |
France | Chu Brest | Brest | |
France | Chic Creteil | Créteil | |
France | Chu Dijon | Dijon | |
France | Chu Lyon Croix Rousse | Lyon | |
France | Clinique Monticelli | Marseille | |
France | Clinique ophtalmologique du CHU de Nantes | Nantes | |
France | CHU de NICE HÔPITAL PASTEUR 2 | Nice | |
France | Centre Broca / Mutuelle Generale | Paris | |
France | Chu Lariboisiere | Paris | |
France | Chu Pitie Salpetriere | Paris | |
France | Fondation Rothschild | Paris | |
France | Hôpital des 15-20 | Paris |
Lead Sponsor | Collaborator |
---|---|
Assistance Publique - Hôpitaux de Paris |
France,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Progression to severe retinopathy | Progression towards severe diabetic retinopathy form. | month 12 | |
Secondary | Algorithm performance | Algorithms will be evaluated by comparing the algorithm performance to automatically assess diabetic retinopathy severity as well as individual components of severe retinopathy against the same grading made by human graders. | 3 years | |
Secondary | Comparison of algorithms prediction to human prediction. | at each patient's visit of the validation cohort, ophthalmologists will evaluate the risk of DR progression based on the current DR classification and their clinical experience. The risk of DR will be expressed by the clinician as a continuous variable (its estimated probability of progression) or as a semi-quantitative variable. Performance of the human prediction will be compared to the algorithm using sensitivity, specificity and AUC. | 3 years |
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