June 2021
Volume 62, Issue 8
Open Access
ARVO Annual Meeting Abstract  |   June 2021
Quantitative optical coherence tomography reveals photoreceptor change in diabetic retinopathy
Author Affiliations & Notes
  • David Le
    Department of Bioengineering, University of Illinois at Chicago, Chicago, Illinois, United States
  • Taeyoon Son
    Department of Bioengineering, University of Illinois at Chicago, Chicago, Illinois, United States
  • Jennifer I Lim
    Department of Ophthalmology & Visual Sciences, University of Illinois at Chicago, Chicago, Illinois, United States
  • Xincheng Yao
    Department of Bioengineering, University of Illinois at Chicago, Chicago, Illinois, United States
    Department of Ophthalmology & Visual Sciences, University of Illinois at Chicago, Chicago, Illinois, United States
  • Footnotes
    Commercial Relationships   David Le, None; Taeyoon Son, None; Jennifer Lim, Adverum (F), Aldeyra Therapeutics (F), Allergan (C), Chengdu Kanghong (F), Clearside (F), Cognition (C), Eyenuk (C), Genentech (F), Genentech (C), Greybug (F), Iveric (C), Kodiak (C), Luxa (C), NGM (F), Novartis (C), Opthea (C), pSivida (C), Quark (C), Regeneron (F), Santen (C); Xincheng Yao, None
  • Footnotes
    Support  T32 Institutional Training Grant for a training program in the biology and translational research on Alzheimer’s disease and related dementias (T32AG057468)
Investigative Ophthalmology & Visual Science June 2021, Vol.62, 2520. doi:
  • Views
  • Share
  • Tools
    • Alerts
      ×
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      David Le, Taeyoon Son, Jennifer I Lim, Xincheng Yao; Quantitative optical coherence tomography reveals photoreceptor change in diabetic retinopathy. Invest. Ophthalmol. Vis. Sci. 2021;62(8):2520.

      Download citation file:


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

      ×
  • Supplements
Abstract

Purpose : Psychophysical and electrophysiological measurements have provided evidence for photoreceptor dysfunction in patients with diabetic retinopathy (DR). The purpose of this study is to conduct quantitative optical coherence tomography (OCT) analysis of outer retina, and thus to verify the feasibility of noninvasive OCT detection of photoreceptor abnormality in early DR.

Methods : OCT images were acquired from normal eyes, diabetic eyes with no diabetic retinopathy (no DR) and with mild DR. Nine quantitative features, including inner and outer retinal thicknesses, photoreceptor inner and outer segment bandwidths, reflectance intensities of the external limiting membrane (ELM), inner segment ellipsoid (ISe), and retinal pigment epithelium (RPE) were measured and intensity ratios of ELM/ISe and RPE/ISe were determined. Comparative parafoveal and perifoveal features (Figure 1a) were analyzed within retinal quadrants, i.e., superior, inferior, temporal, and nasal regions (Figure 1b). The quantitative features were determined using the averaged A-line reflectance intensities (Figure 1c).

Results : Outer retinal thickness was observed to have significant differences (p<0.05) among the normal controls, no DR, and mild DR groups within the superior and inferior quadrants. Reflectance abnormalities of the ELM and ISe (p<0.05) were observed within the temporal and nasal quadrants. Similarly, reflectance abnormality of the RPE was observed in the parafovea region of the nasal quadrant (p<0.05). Comparative analysis consistently revealed decreased reflectance intensity of the ISe compared to that of the RPE, and the relative intensity ratio ISe/RPE discloses significant differences among the cohorts (p < 0.001) in the parafoveal region of all quadrants.

Conclusions : Quantitative OCT analysis consistently revealed outer retina changes in diabetic patients with no DR and with mild DR. The abnormalities of outer retinal thickness and OCT reflectance are retinal region/quadrant dependent. The normalized ISe/RPE measurement reveals retinal abnormalities in all quadrants, promising a sensitive biomarker for OCT detection of early DR.

This is a 2021 ARVO Annual Meeting abstract.

 

Figure 1. (a) Representative retinal B-scan OCT image. (b) Representative enface OCT image with illustration of retinal quadrants. (c) A-line profile shows reflectance intensities of individual retinal layers (a).

Figure 1. (a) Representative retinal B-scan OCT image. (b) Representative enface OCT image with illustration of retinal quadrants. (c) A-line profile shows reflectance intensities of individual retinal layers (a).

×
×

This PDF is available to Subscribers Only

Sign in or purchase a subscription to access this content. ×

You must be signed into an individual account to use this feature.

×