Adaptive Optics Imaging in Diabetic Retinopathy: A Prospective Cohort Study

Author:

Balas Michael1,Issa Mariam1,Popovic Marko M.2,Moayad Lana3,Zajner Chris4,Aponte Paola Oquendo,Hamli Hesham5,Yan Peng26,Wright Tom26,Melo Isabela M25,Muni Rajeev H.256

Affiliation:

1. Temerty Faculty of Medicine, University of Toronto, Toronto, Canada

2. Department of Ophthalmology and Vision Sciences, University of Toronto, Toronto, Canada

3. Michael G. DeGroote School of Medicine, McMaster University, Hamilton, Canada

4. Schulich School of Medicine & Dentistry, Western University, London, Canada

5. Department of Ophthalmology, Unity Health Toronto, Toronto, Canada

6. Kensington Eye Institute, Toronto, Canada

Abstract

Purpose: To investigate the correlation between diabetic retinopathy (DR) severity and microscopic retinal and vascular alterations using adaptive optics imaging (AOI). Methods: In this single-center, prospective cohort study, adult participants with healthy eyes or DR underwent AOI. Participants were classified into control/mild non-proliferative DR (NPDR), moderate/severe NPDR, and proliferative DR. AOI using the RTX1 camera was obtained from 48 participants (87 eyes) for photoreceptor data, and from 36 participants (62 eyes) for vascular data. Results: Photoreceptor parameters significantly differed between DR groups at 2° and 4° of retinal eccentricity. Wall-to-lumen ratio varied significantly at 2° eccentricity, while other vascular parameters remained non-significant. Cone density and dispersion were the strongest predictors for DR severity (p<0.001) in multivariable generalized estimating equation (GEE) modeling, while other vascular parameters remained non-significant between DR severity groups. All photoreceptor parameters showed significant correlations with visual acuity overall and across most DR severity groups. Conclusion: To date, this is one of the largest studies evaluating the use of AOI in DR. AOI was demonstrated to differentiate between various levels of disease severity in DR. These results support the potential role in diagnostic and therapeutic microstructural evaluation in research and clinical practice.

Publisher

Ovid Technologies (Wolters Kluwer Health)

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