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Deep Learning in the Detection and Prediction of Hydroxychloroquine Maculopathy
Sponsor: Centro Hospitalar de Lisboa Central
Summary
Hydroxychloroquine retinal toxicity affects a significant number of patients using this medication. Detection of toxicity is difficult in the early stages of the disease and depends on the subjectivity of the clinician who reads the tests (optical coherence tomography, autofluorescence and visual fields). Automating the reading of these diagnostic exams could lead to earlier detection of this pathology and reduce the burden associated with interpreting these exams in the ophthalmology service. The images that are usually taken in the screening and monitoring of hydroxychloroquine toxicity by will be collected - photography of the ocular fundus and optical coherence tomography with autofluorescence.
Key Details
Gender
All
Age Range
18 Years - 100 Years
Study Type
OBSERVATIONAL
Enrollment
100
Start Date
2024-08-01
Completion Date
2025-06-20
Last Updated
2025-02-21
Healthy Volunteers
Yes
Conditions
Interventions
Retinopathy group
OCT scans and Retinai algorithm will be performed
Control group
OCT scans and Retinai algorithm will be performed
Locations (1)
Local de Saúde São José
Portugal, Portugal