The Glaucoma and Retinopathy Screening Study

Part of paid clinical trials in Boston, Massachusetts.

Sponsor
Massachusetts Eye and Ear Infirmary
Study ID
NCT06882356
Status
Recruiting

Conditions

Eligibility Criteria

Sex
ALL
Age
40 Years - N/A
Healthy Volunteers
Not accepted

Interventions

  • AI-based glaucoma screening — DEVICE
    AI analysis of fundus photographs to detect signs of glaucoma, added to AI-based diabetic eye disease screening performed for routine clinical care
  • IOP measurement — DEVICE
    Intraocular pressure measurement by Icare tonometer
  • Virtual Reality Visual Field Testing — DEVICE
    Virtual Reality Visual Field Testing by the Olleyes device for participants suspected of having glaucoma

Study Details

The goal of this clinical trial is to learn if a new screening approach including an artificial intelligence algorithm that analyzes fundus photographs, measurement of eye pressure and visual field testing works to screen for glaucoma. Participants will: Have an image of their fundus (back of the eye) taken as part of their diabetic eye screening Have a measurement of their eye pressure If needed, have a test of their side vision using a headset

Key Dates

Start date
Jul 16, 2025
Status verified
Jun 2025
Primary completion
Sep 30, 2030
Completion
Sep 30, 2030

Study Design

Enrollment
2,000 participants (estimated)
Allocation
NON_RANDOMIZED
Intervention model
PARALLEL
Primary purpose
SCREENING

Arms

  • Experimental: Combined DED and Glaucoma Screening
    Participants in this arm will have fundus photographs that are taken as a part of standard clinical care analyzed by AI for signs of glaucoma in addition to for diabetic retinopathy. They will also have intraocular pressure measured. If the AI detects possible glaucoma, participants will undergo virtual perimetry testing for further assessment.
  • No Intervention: DED Screening Only (Control Arm)
    Participants in this arm will undergo diabetic eye disease (DED) screening only for routine clinical care. This includes fundus photography for AI assessment of signs of diabetic retinopathy.

Primary Outcome Measure

Glaucoma detection [ Time Frame: 1 year from initial screening ]

Central Contacts

Locations (5)

FacilityCityStateZIPSite coordinators
Brigham and Women's Primary Care Associates of LongwoodBostonMassachusetts02115
David S Friedman, MD, PhD, MPH
617-573-3094
MGH Chelsea HealthCare CenterChelseaMassachusetts02150
David S Friedman, MD, PhD, MPH
617-573-3094
NSPG LynnLynnMassachusetts01904
David S Friedman, MD, PhD, MPH
617-573-3094
NSPG SalemSalemMassachusetts01970
David S Friedman, MD, PhD, MPH
617-573-3094
NSPG SaugusSaugusMassachusetts01906
David S Friedman, MD, PhD, MPH
617-573-3094

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