Macular vessels density in diabetic retinopathy: Quantitative assessment using optical coherence tomography angiography

Session Details

Session Title: Free Paper Session 21: Imaging III

Session Date/Time: Sunday 10/09/2017 | 08:00-09:30

Paper Time: 08:36

Venue: Room 113

First Author: : H.Atta Allah EGYPT

Co Author(s): :    A. Mohamed   M. Ali                          

Abstract Details

Purpose:

to evaluate macular vessel density using OCT-A automated software algorithms in diabetic patients, correlate it with log MAR visual acuity, FAZ area in diabetic patients

Setting:

Ophthalmology Department, Minia University Hospitals, Faculty of Medicine, Minia University, Minia, Egypt

Methods:

The study included 97 eyes from 65 diabetic patients, with eighty eyes of 40 normal individuals as controls. All eyes were examined using OCT-A (RTVue-XR Avanti; Optovue, Inc, Fremont, CA). This system uses split-spectrum amplitude decorrelation angiography algorithm, and operates at 70 000 A-scans per second to acquire OCT-A volumes consisting of 304 304 A-scans. Orthogonal registration and merging of 2 consecutive scans were used to obtain OCT-A volume scans over a central 6x6 mm area. Optical coherence tomography angiography images of the superficial capillary networks were generated separately using the automated software algorithm. The macular vessel density, foveal avascular zone (FAZ) area were measured, and statistically compared between both groups, and also correlated with the foveal thickness, and visual acuity (expressed as the logarithm of the minimum angle of resolution; Log-MAR)

Results:

This study included 97 eyes from 65 diabetic patients to determine correlation between macular vessel density and visual acuity using OCT-Angiography software algorithms compared to eighty eyes from healthy individuals as study control. Mean whole area vessel density was 44.6±3.5 in diabetic patients, and 48.4±3.6 in control eyes, with statistically significant difference between both groups (P = 0.001). There was a statistically significant negative correlation between the whole area vessel density and FAZ area in diabetic patients group (r =- 0.28, P = 0.004). Mean visual acuity was 0.76 ± 0.30 log MAR in diabetic patients, and 0.17 ± 0.10 in control eyes with statistically significant difference between both groups (P = 0.001). There was a statistically significant difference between FAZ area in both groups being greater in diabetic patients group (diabetic group FAZ area mean ± SD was 0.54 ± 0.24 and was 0.37± 0.09 in the control group, P = 0.001)

Conclusions:

OCT-A machines with Angio-Analytics parameters (vessel area density and non-flow), represented a valuable objective quantification tools in studying microvascular changes in eyes with DR, that are correlated with visual function. These parameters could help in studying effect of treatment, disease progression, and factors that could affects visual function in diabetic eyes.

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