Abstract
Purpose:
To compare retinal thickness and volume in diabetic patients by different SD-OCT devices and assess the possibility of interchanging the devices between sessions as a means of optimizing flow in a busy retina clinic and expanding access to primary care diabetic screening.
Methods:
This is a retrospective observational study in a clinic-based setting. 91 eyes were imaged by two different SD-OCT RTVue (IVue Version 2.6, 2012), and Spectralis Heidelberg in the same clinic visit from 2011-2013. A control group of 20 eyes was assigned to this study. Pathological eyes included Diabetic macular edema, PDR, BDR, CSME, Wet and dry AMD, ERM and glaucoma. Patients were divided into 3 different groups, control group (healthy eyes), Diabetic group (diabetic changes in the eye; DME, BDR, PDR) and non-diabetic group (non-diabetic changes in the eye; AMD,ERM,Gluacoma). In the Heidelberg measurements, the mean values were displayed using the ETDRS scale.
Results:
26 eyes in the diabetic group from 16 patients (mean age 59+\-14) with diabetes mellitus type 1 and type 2 for average of 13+\-11 years both tested by RTvue and Heidelberg in the same visit revealed mean measurement for retinal thickness of 292+/- 45 um while mean retinal thickness taken by the Spectralis was 315+/- 47um, giving a mean difference of 23 um between the two devices. On the other hand, in the non-diabetic group, 27 eyes from 15 patients (mean age 78+\-12) were assigned and measured. The mean retinal thickness was 285+/-36um by RTvue, and 307+/-37um by the Heidleberg Spectralis, demonstrating a mean difference of 22um. Control eyes showed similarly consistent differences.
Conclusions:
The results on both diseased patients and controls and the introduction of an appropriate correction factor indicate that it is possible to use the specific SD-OCT devices in “dual mode” and obtain results consistent with excellent clinical management of patients with retinal pathologies as well as perform primary care diabetic screening.
Keywords: 688 retina •
550 imaging/image analysis: clinical