September 2016
Volume 57, Issue 12
Open Access
ARVO Annual Meeting Abstract  |   September 2016
A Novel Spectral Domain Optical Coherence Tomography (SD-OCT) Classification Scheme for the Differential Diagnosis of Macular Edema of Diabetic and Retinal Veno-Occlusive Origin
Author Affiliations & Notes
  • Mikel Mikhail
    McGill University, Montreal, Quebec, Canada
  • Razek Coussa
    McGill University, Montreal, Quebec, Canada
  • David E Lederer
    McGill University, Montreal, Quebec, Canada
  • Footnotes
    Commercial Relationships   Mikel Mikhail, None; Razek Coussa, None; David Lederer, None
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science September 2016, Vol.57, 4240. doi:
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      Mikel Mikhail, Razek Coussa, David E Lederer; A Novel Spectral Domain Optical Coherence Tomography (SD-OCT) Classification Scheme for the Differential Diagnosis of Macular Edema of Diabetic and Retinal Veno-Occlusive Origin. Invest. Ophthalmol. Vis. Sci. 2016;57(12):4240.

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

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Abstract

Purpose : To assess SD-OCT morphologic patterns of macular edema secondary to different disease entities and identify predictors of pathology on OCT

Methods : 91 eyes of 67 patients with macular edema secondary to diabetic (61 eyes) and veno-occlusive pathologies (30 eyes) were retrospectively examined using Cirrus HD-OCT (Carl Zeiss Meditec, Dublin, CA). Images were graded according to a number of qualitative and quantitative parameters

Results : Foveal RNFL thickness was the strongest predictor of pathology, followed by cyst type and central macular thickness. The presence, location and relation of microfoci to cysts were not significantly different between the groups

Conclusions : Recognition of the characteristic OCT patterns of macular edema may allow for disease identification and classification on the basis of OCT alone

This is an abstract that was submitted for the 2016 ARVO Annual Meeting, held in Seattle, Wash., May 1-5, 2016.

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