June 2023
Volume 64, Issue 8
Open Access
ARVO Annual Meeting Abstract  |   June 2023
Characterization of Cone and RPE Morphology Across the Macula of Living Human Eyes Using Adaptive Optics-Optical Coherence Tomography
Author Affiliations & Notes
  • Samira Aghayee
    OSEL/DBP, US Food and Drug Administration White Oak Campus, Silver Spring, Maryland, United States
  • Somayyeh Soltanian-Zadeh
    Duke University, Durham, North Carolina, United States
  • Achyut Raghavendra
    OSEL/DBP, US Food and Drug Administration White Oak Campus, Silver Spring, Maryland, United States
  • Osamah Saeedi
    University of Maryland Baltimore, Baltimore, Maryland, United States
  • Catherine A Cukras
    NEI, National Institutes of Health, Bethesda, Maryland, United States
  • Sina Farsiu
    Duke University, Durham, North Carolina, United States
  • Daniel X Hammer
    OSEL/DBP, US Food and Drug Administration White Oak Campus, Silver Spring, Maryland, United States
  • Zhuolin Liu
    OSEL/DBP, US Food and Drug Administration White Oak Campus, Silver Spring, Maryland, United States
  • Footnotes
    Commercial Relationships   Samira Aghayee None; Somayyeh Soltanian-Zadeh None; Achyut Raghavendra None; Osamah Saeedi None; Catherine Cukras None; Sina Farsiu None; Daniel Hammer None; Zhuolin Liu Indiana University, Code P (Patent)
  • Footnotes
    Support  FDA Critical Path Initiative; The Foundation Fighting Blindness (BR-CL-0621-0812-DUKE), National Institutes of Health (P30EY005722); Duke University (Research to Prevent Blindness Unrestricted Grant); Hartwell Foundation (Postdoctoral Fellowship); National Eye Institute Intramural Research Program
Investigative Ophthalmology & Visual Science June 2023, Vol.64, 1042. doi:
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      Samira Aghayee, Somayyeh Soltanian-Zadeh, Achyut Raghavendra, Osamah Saeedi, Catherine A Cukras, Sina Farsiu, Daniel X Hammer, Zhuolin Liu; Characterization of Cone and RPE Morphology Across the Macula of Living Human Eyes Using Adaptive Optics-Optical Coherence Tomography. Invest. Ophthalmol. Vis. Sci. 2023;64(8):1042.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose : To provide comprehensive structural assessments of key cellular characteristics of the photoreceptor (PR)-retinal pigment epithelium (RPE) complex over the entire macula, primarily as a baseline for future disease-related biomarker development.

Methods : Two healthy volunteers were assessed using the FDA 3.4 MHz Fourier Domain Mode-Locked adaptive optics OCT (FDML-AO-OCT) platform. One eye per volunteer was imaged. For each volunteer, nine 2°×2° field-of-view (500×500 pixels) regions were captured from the fovea to 12° temporal (T) eccentricity, with the AO focus set to the PR-RPE complex. At each location, 30 volumes were collected with a six second interval to enhance contrast by RPE organelle motility induced speckle. The volumes were registered post-hoc and a new generation artificial intelligence (AI) toolset was leveraged to automatically segment the cone PRs for their density and outer segment length (OSL) measures. RPE cells were counted manually using Voronoi analysis and accounting for vessel shadows. Cone PR density, RPE cell density, cone OSL, and cone-to-RPE ratio were analyzed at 1° intervals from the fovea to 12°T.

Results : In agreement with previous studies, we find that both cone PR density and OSL decrease significantly with distance from the fovea. The OSL drops by approximately 2-fold from 39.2 µm at 1° to 17.1 µm at 12°T. The cone density decreases more sharply, by over half at 4° and by more than 5-fold at 12°T as compared with the cone density at 1°T. The RPE cell density also decreases with an increase in retinal eccentricity across the macula, although with a lower slope than PR cone density. In our volunteers, we found an approximate two-fold decrease in RPE density across the macula from a mean density of 8×105 cells/mm2 at the fovea to 5×105 cells/mm2 at 12°T. Collectively, the cone-to-RPE ratio decreases from 7.1 to 1.7 from 1°T to 12°T.

Conclusions : AO-OCT imaging combined with AI analysis allows for accurate volumetric characterization of the PR-RPE complex at a single cell level across the entire macula. These metrics can be used as biomarkers for degenerative diseases that attack the PR-RPE complex once baseline values are established that account for the variability across multiple human subject phenotypes.

This abstract was presented at the 2023 ARVO Annual Meeting, held in New Orleans, LA, April 23-27, 2023.

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