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Inherited Retinal Degeneration Associated With RPGR MutationsGeneticsDiagnostics and screeningRare diseaseChildren's health

What this study is

Simplified from ClinicalTrials.gov

Studying AI programs that read wide-view eye images to learn whether they can spot and track inherited retinal degeneration, a gene-related eye disease, in people up to age 50 with RPE65 or RPGR gene changes. Images from healthy people, with and without nearsightedness, are used for comparison.

Read the original summary from ClinicalTrials.gov

The goals of this observational study are to develop and train artificial intelligence (AI) algorithms using multimodal imaging to identify patients with inherited retinal degeneration (IRD) caused by Retinal Pigment Epithelium Specific Protein 65 (RPE65) and Retinitis Pigmentosa GTPase Regulator (RPGR) mutations. Another algorithm will be developed to measure and monitor retinal changes over time, with the aim of helping identify patients who may be suitable for available or emerging treatments and supporting assessment of disease progression and treatment response.

The main questions this study aims to answer are:

1. Can AI algorithms accurately distinguish patients with RPE65- or RPGR-associated IRDs from individuals without these conditions using ultra-widefield retinal imaging? 2. Can AI algorithms accurately detect and quantify retinal abnormalities associated with these conditions and monitor their progression over time on ultra-widefield retinal imaging?

Researchers will compare retinal images from patients with RPE65- or RPGR-associated IRDs with images from healthy participants, including people with and without myopia, to assess how accurately the algorithms can distinguish between these groups and monitor disease-related changes.

Study details

Sponsor
University College, London
Conditions
Inherited Retinal Degeneration Associated With RPGR Mutations · Inherited Retinal Degeneration Associated With Biallelic RPE65 Mutations
Enrolling
4,887 people
Starts
2026-01-01
Est. completion
2028-12-31
Record
View on ClinicalTrials.gov ↗