EviRed: Intelligent Evaluation of Diabetic Retinopathy

Sponsor
Assistance Publique - Hôpitaux de Paris (Other)
Overall Status
Recruiting
CT.gov ID
NCT04624737
Collaborator
(none)
5,000
14
49
357.1
7.3

Study Details

Study Description

Brief Summary

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.

Condition or Disease Intervention/Treatment Phase

    Detailed Description

    A cohort of 5,000 diabetic patients with different stages of DR will be recruited and followed for an average of 2 years. Each year, general data as well as ophthalmological data will be collected. Retinal images and videos of both eyes will be acquired using different imaging modalities including ultrawidefield photography, OCT and OCT angiography. The EviRed cohort will be split in two groups: one group of 1,000 patients (validation cohort) will be randomly selected during the inclusion period by unbalanced draw to be representative of the general diabetic population. Their data will be used for the validation of the algorithms. The data of the remaining 4,000 patients (training cohort) will be used to train the algorithms. The main objective will be the validation of the prognostic tool and evaluate how accurately the algorithm can predict progression to severe retinopathy in the following year. Secondary objectives will be to evaluate how accurately the algorithm can assess DR severity and individual components of DR complications as well as to compare prediction by algorithm to that made by ophthalmologists based on the current DR classification

    Study Design

    Study Type:
    Observational
    Anticipated Enrollment :
    5000 participants
    Observational Model:
    Cohort
    Time Perspective:
    Prospective
    Official Title:
    Intelligent Evaluation of Diabetic Retinopathy
    Actual Study Start Date :
    Dec 21, 2020
    Anticipated Primary Completion Date :
    May 21, 2024
    Anticipated Study Completion Date :
    Jan 21, 2025

    Outcome Measures

    Primary Outcome Measures

    1. Progression to severe retinopathy [month 12]

      Progression towards severe diabetic retinopathy form.

    Secondary Outcome Measures

    1. Algorithm performance [3 years]

      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.

    2. Comparison of algorithms prediction to human prediction. [3 years]

      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.

    Eligibility Criteria

    Criteria

    Ages Eligible for Study:
    18 Years and Older
    Sexes Eligible for Study:
    All
    Accepts Healthy Volunteers:
    No
    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

    Contacts and Locations

    Locations

    Site City State Country Postal Code
    1 Chu Avicenne Bobigny France 93000
    2 Chu Bordeaux Bordeaux France 33000
    3 Chu Brest Brest France 29200
    4 Chic Creteil Créteil France 94010
    5 Chu Dijon Dijon France 21000
    6 Chu Lyon Croix Rousse Lyon France 69317
    7 Clinique Monticelli Marseille France 13008
    8 Clinique ophtalmologique du CHU de Nantes Nantes France 44000
    9 CHU de NICE HÔPITAL PASTEUR 2 Nice France CS 51069_06001, Nice cedex1
    10 Chu Lariboisiere Paris France 75010
    11 Centre Broca / Mutuelle Generale Paris France 75013
    12 Chu Pitie Salpetriere Paris France 75013
    13 Fondation Rothschild Paris France 75019
    14 Hôpital des 15-20 Paris France 75571

    Sponsors and Collaborators

    • Assistance Publique - Hôpitaux de Paris

    Investigators

    None specified.

    Study Documents (Full-Text)

    None provided.

    More Information

    Publications

    None provided.
    Responsible Party:
    Assistance Publique - Hôpitaux de Paris
    ClinicalTrials.gov Identifier:
    NCT04624737
    Other Study ID Numbers:
    • APHP200055
    First Posted:
    Nov 12, 2020
    Last Update Posted:
    May 3, 2022
    Last Verified:
    Apr 1, 2022
    Studies a U.S. FDA-regulated Drug Product:
    No
    Studies a U.S. FDA-regulated Device Product:
    No
    Keywords provided by Assistance Publique - Hôpitaux de Paris
    Additional relevant MeSH terms:

    Study Results

    No Results Posted as of May 3, 2022