Glaucoma, Glaucoma, Suspect, Ocular Hypertension
Conditions
Keywords
Deep Learning, Diagnoses Disease, Glaucoma, retinographies
Brief summary
Clinical, cross-sectional and prospective study to assess the images of the posterior pole of the retina of patients from the Glaucoma Unit of the IOBA and the Hospital Clínico Universitario de Valladolid during the period between May and December 2021. The aim of the project is to provide a sufficient number of images from posterior pole retinographies in patients with suspected glaucoma or with diagnosis of glaucoma in order to determine the sensitivity and specificity of an automatic glaucoma screening algorithm developed by the company Transmural Biotech S.L.
Interventions
DIAGNOSTIC_TESTFundus Photographs (retinographies)
Fundus photographs under mydriasis
Sponsors
Instituto Universitario de Oftalmobiología Aplicada (Institute of Applied Ophthalmobiology) - IOBA
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
40 Years to No maximum
Healthy volunteers
Yes
Inclusion criteria
* Primary open angle glaucoma or ocular hypertension * Signed informed consent * Visual field examination within the last 12 months
Exclusion criteria
* Ocular or systemic pathologies that may interfere with the quality of the retinographic image or the results of the visual field * Congenital anomalies of the papilla that seriously alter its structure * High ametropia (\> 10 diopters) * Pharmacological Mydriasis contraindication.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Sensitivity and Specificity of an automated classification system for retinographies | Day 0 |
Countries
Spain
Outcome results
None listed