Automated Screening of Diabetic Retinopathy Using a Smartphone-based Camera
Validation of an Artificial Intelligence Model for Diabetic Retinopathy Screening Using a Smartphone-based Fundus Camera in the UK Population
1 other identifier
observational
410
1 country
1
Brief Summary
The prevalence of diabetic retinopathy (DR) in the UK is on the rise. Within 20 years of diabetes diagnosis, nearly all people with type 1 and almost two thirds of people with type 2 diabetes (60%) have some degree of DR. NHS guidelines mandate annual DR screening in all patients aged 12 and above to prevent complications of DR. Screening for DR in England involves labour-intensive manual grading of retinal images through the teleophthalmology platform. Automated retinal image analysis systems with the use of artificial intelligence (AI) may offer an alternative to manual grading. The purpose of this study is to evaluate the performance of a portable, hand-held fundus camera with integrated artificial intelligence for diabetic retinopathy screening by comparing it against the current standard i.e diagnosis provided by trained human graders evaluating the standard photographs/ophthalmologists.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Apr 2022
Shorter than P25 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
January 26, 2021
CompletedFirst Posted
Study publicly available on registry
February 1, 2021
CompletedStudy Start
First participant enrolled
April 20, 2022
CompletedPrimary Completion
Last participant's last visit for primary outcome
August 24, 2022
CompletedStudy Completion
Last participant's last visit for all outcomes
August 24, 2022
CompletedSeptember 2, 2022
August 1, 2022
4 months
January 26, 2021
August 30, 2022
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Sensitivity and Specificity of the AI in detecting any grade of diabetic retinopathy in those with established diabetes mellitus (DM)
4 months
Secondary Outcomes (3)
To assess the positive predictive value, negative predictive value of AI in detecting any grade of DR
4 months
To assess the sensitivity to identify sight-threatening diabetic retinopathy (STDR defined as severe NPDR or more severe disease and/or the presence of DME ie grades U, M1, R2 or R3)
4 months
To compare the diagnostic ability of the AI in mydriatic and non-mydriatic eyes
4 months
Study Arms (1)
Diabetic patients
Interventions
Fundus images will be captured before and after administration of mydriatic agent
Eligibility Criteria
Individuals with established diabetes mellitus presenting to GPs clinic for routine clinical care
You may qualify if:
- Age above 18 years who can provide an informed consent
- Established cases of diabetes mellitus (DM) with or without established diabetic retinopathy
- Subjects who have been dilated for an ophthalmic evaluation previously
You may not qualify if:
- Patients with acute vision loss
- Participants contraindicated for fundus imaging if hypersensitive to light or underwent recent photodynamic therapy or is photosensitive
- Participants who have been treated for diabetic retinopathy (laser or intra-vitreal injections) in the past 3 months
- Participants known to have other known retinal pathologies
- Participants identified to be at risk of acute angle closure glaucoma from previous ophthalmic evaluation (anterior chamber depth, gonioscopy to look at angles and IOP)
- Participants with known allergy to 1% tropicamide solution
- Currently participating in another investigational eye study and/or actively receiving investigational product for DR or diabetic macula edema.
- Participant has a condition that, in the opinion of the investigator, would preclude participation in the study (e.g., unstable medical status- glycemic control, blood pressure etc)
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Dr Edward Jude
Manchester, OL6 9RW, United Kingdom
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Design
- Study Type
- observational
- Observational Model
- CASE ONLY
- Time Perspective
- CROSS SECTIONAL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
January 26, 2021
First Posted
February 1, 2021
Study Start
April 20, 2022
Primary Completion
August 24, 2022
Study Completion
August 24, 2022
Last Updated
September 2, 2022
Record last verified: 2022-08
Data Sharing
- IPD Sharing
- Will not share