August 2021
Volume 62, Issue 11
Open Access
ARVO Imaging in the Eye Conference Abstract  |   August 2021
Finding the most discriminative slab between healthy and diabetic eyes with OCTA
Author Affiliations & Notes
  • Thomas Callan
    Carl Zeiss Meditec Inc, Dublin, California, United States
  • Luis De Sisternes
    Carl Zeiss Meditec Inc, Dublin, California, United States
  • Warren Lewis
    Bayside Photonics, Inc., Yellow Springs, Ohio, United States
  • Sophie Kubach
    Carl Zeiss Meditec Inc, Dublin, California, United States
  • Jean-François KOROBELNIK
    Centre Hospitalier Universitaire de Bordeaux, Bordeaux, Aquitaine, France
  • Torcato Santos
    Associacao para a Investigacao Biomedica e Inovacao em Luz e Imagem, Coimbra, Coimbra, Portugal
  • Jose Cunha-Vaz
    Associacao para a Investigacao Biomedica e Inovacao em Luz e Imagem, Coimbra, Coimbra, Portugal
  • Mary Kathryn Durbin
    Carl Zeiss Meditec Inc, Dublin, California, United States
  • Footnotes
    Commercial Relationships   Thomas Callan, Carl Zeiss Meditec, Inc. (E); Luis De Sisternes, Carl Zeiss Meditec, Inc. (E); Warren Lewis, Carl Zeiss Meditec, Inc. (C); Sophie Kubach, Carl Zeiss Meditec, Inc. (E); Jean-François KOROBELNIK, Carl Zeiss Meditec, Inc. (C); Torcato Santos, None; Jose Cunha-Vaz, Carl Zeiss Meditec, Inc. (C), Carl Zeiss Meditec, Inc. (F); Mary Durbin, Carl Zeiss Meditec, Inc. (E)
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science August 2021, Vol.62, 56. doi:
  • Views
  • Share
  • Tools
    • Alerts
      ×
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      Thomas Callan, Luis De Sisternes, Warren Lewis, Sophie Kubach, Jean-François KOROBELNIK, Torcato Santos, Jose Cunha-Vaz, Mary Kathryn Durbin; Finding the most discriminative slab between healthy and diabetic eyes with OCTA. Invest. Ophthalmol. Vis. Sci. 2021;62(11):56.

      Download citation file:


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

      ×
  • Supplements
Abstract

Purpose : There are many approaches to determining diabetic retinal changes. When using optical coherence tomography angiography (OCTA), observed changes to vessel density and perfusion density are common. This pilot study was conducted to explore the best en face slab to help differentiate between healthy and diseased eyes based on the detection of vascular differences.

Methods : Eyes from healthy controls and eyes with diabetic retinopathy were imaged with PLEX ® Elite 9000 (ZEISS, Dublin, CA) swept-source OCT using the Angio 6x6 mm scans centered on the fovea. Slabs of various thicknesses were extracted. The standard layer thicknesses were varied by shifting the border between the superficial and deep layer in increments of 5 µm to create a set of 5 offset slabs (0, 5, 10, 15 and 20 µm thicker superficial and thinner deep). Vessel density and perfusion measurements were determined for the 9 sectors of the standard ETDRS grid. The mean differences for these parameters were determined for a group of healthy and disease eyes. Paired t-tests were performed on these differences and the area under receiver operator characteristic curve (AUC) values computed. To account for multiple comparisons, the significance level was set at 0.05/90 = 0.00056.

Results : Nine healthy and twelve eyes with non-proliferative diabetic retinopathy were evaluated. Statistically significant (p<0.00056) differences were found in the superficial perfusion and vessel density measurements between the healthy and diseased eyes, but only in the temporal sectors. Comparing the offset slabs, there did not appear to be an offset that was more effective than the default setting for the deep layer, although a thicker layer might improve discrimination in the superficial layer (see Table 1). The AUC curves provided similar findings (see Table 2).

Conclusions : There appear to be more statistically significant differences in the superficial vessel density and perfusion measurements than in the deep layer for healthy and diseased eyes, and this is not changed by altering the border between them. This study would benefit from additional eyes.

This is a 2021 Imaging in the Eye Conference abstract.

 

Table 1: Offset P-values for each sector of the ETDRS grid

Table 1: Offset P-values for each sector of the ETDRS grid

 

Table 2: AUC values for each sector of the ETDRS grid

Table 2: AUC values for each sector of the ETDRS grid

×
×

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.

×