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RECRUITING
NCT06839443

Deep Learning in the Detection and Prediction of Hydroxychloroquine Maculopathy

Sponsor: Centro Hospitalar de Lisboa Central

View on ClinicalTrials.gov

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

Interventions

DIAGNOSTIC_TEST

Retinopathy group

OCT scans and Retinai algorithm will be performed

DIAGNOSTIC_TEST

Control group

OCT scans and Retinai algorithm will be performed

Locations (1)

Local de Saúde São José

Portugal, Portugal