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.