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Multicenter Diagnostic Clinical Performance Study For Automated Detection of Diabetic Retinopathy

NCT ID: NCT05471986

Last Updated: 2023-11-29

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

NOT_YET_RECRUITING

Total Enrollment

900 participants

Study Classification

OBSERVATIONAL

Study Start Date

2024-08-01

Study Completion Date

2024-12-01

Brief Summary

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This study is a retrospective study to assess the efficacy and accuracy of the EyeCheckup software in screening for diabetic retinopathy in healthcare settings.

Detailed Description

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This is a clinical diagnostic performance study for EyeCheckup with data obtained consecutively at multiple geographically different sites within the US population. These sites include all healthcare settings with a trained ophthalmic camera operator using non-mydriatic cameras that are compatible with EyeCheckup. Moreover, primary endpoints are devised that will be used to validate EyeCheckup to diagnose DR in the primary care and eye care settings. During this color fundus images representing either 4 wide field or 7 standard fields of view will be graded by a qualified professional for diabetic retinopathy according to ETDRS on DRSS scale. The human grading output will be compared with diagnosis generated for diabetic retinopathy by AI software. A comparison of both these grades will be used to determine sensitivity and specificity for the EyeCheckup software for screening for diabetic retinopathy.

Conditions

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Diabetic Retinopathy

Study Design

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Observational Model Type

CASE_ONLY

Study Time Perspective

RETROSPECTIVE

Interventions

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Color Fundus Photography/Non-Mydriatic Opthalmic Cameras

Subjects will have underwent Fundus Photography using FDA approved non-mydriatic fundus cameras compatible with EyeCheckup which are either TOPCON NW400, CANNON CR2, CANNON CR2 Plus or OPTOMED AURORA IQ

Intervention Type DEVICE

Eligibility Criteria

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Inclusion Criteria

* A diagnosis of either diabetes type 1 or diabetes type 2
* 22 years of age or older
* Patients Fundus images must include at least 1 macula centered and 1 optic disc nerve centered image
* All the subjects must be sequentially photographed meaning no omissions of data between a certain time frame by the sites providing images to ensure consecutive selection
* No history of any other retinal vascular disease, glaucoma, or another disease that may affect the appearance of the retina or optic disc (refractive error and ocular surface disease are allowed)

Subject with image taken by color fundus photography that meets the following requirements:

* The resolution of image is 1024×1024 pixels or higher
* The ability to provide a 7 standard or 4 wide field of view
* Must obtained from either Topcon NW400 or Cannon Model CR-2 AF or CR-2 Plus AF or Optomed Aurora Cameras along with the following data: their age, ethnicity and gender, patient ocular history as evaluated of verified by the clinical sites where data is obtained

Exclusion Criteria

* No diagnosis of either diabetes type 1 or diabetes type 2
* The macula, optic nerve, or other part in the image of color fundus photography is unclear to determine the disease condition as judged by the certified ophthalmologist who is grading the images.
Minimum Eligible Age

22 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Ural Telekomunikasyon Sanayi Ticaret Anonim Sirketi

INDUSTRY

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Rim Khazhin

Role: STUDY_CHAIR

Ural Telekom

Central Contacts

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Rim Khazhin

Role: CONTACT

[email protected]
+905357666383

Other Identifiers

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EC-2023DR

Identifier Type: -

Identifier Source: org_study_id