Abstract
Purpose:
To use macular retinal ganglion cell analysis from Cirrus HD-OCT (Carl Zeiss Meditec, Dublin, CA) and RTVue-OCT (Optovue Inc., Fremont, USA) and evaluate their diagnostic ability in glaucoma.
Methods:
A total of 167 eyes were enrolled in 3 groups: (1) early open angle glaucoma patients (n=65); (2) moderate-to-advanced open angle glaucoma patients (n=46); (3) normal subjects (n=56). All patients underwent a complete examination including biomicroscopy and 24-2 automated perimetry. Each eye had macular analysis using the macular cube 200x200 and GCA algorithm from Cirrus HD and macular map with GCC algorithm from RTVue. Macular layers (mNFL, GCL-IPL and GCC) and their parameters (average, minimum and 6 sectoral thicknesses) obtained with Cirrus HD were analyzed as GCC thickness and parameters (average, inferior, superior, FLV and GLV) obtained with RTVue. Glaucoma discriminating ability was assessed using area under the receiver operator characteristic curve (AUC) for all parameters. Each eye underwent circumpapillary RNFL (cpRNFL) analysis using Optic disc cube 200x200 from Cirrus HD and ONH program from RTVue.
Results:
Average thickness with Cirrus HD was, respectively for group 1, 2 and 3, 27.9 ± 6.6 μm, 21.3 ± 6.0 μm and 33.0 ± 5.5 μm for mNFL; 65.6 ± 7.4 μm, 57.8 ± 13.1 μm and 80.3 ± 9.9 μm for GCL-IPL; and 93.4 ± 11.8 μm, 79.1 ± 17.9 μm and 101.5 ± 20.1 μm for GCC (p<0,01 between each group). Average GCC with RTVue was 75.7 ± 10.7 μm, 72.6 ± 9.7 μm et 93.9 ± 7.7 μm, for group 1, 2 and 3 respectively (p<0.05). Sensitivity and specificity were from 82 to 93 % for all Cirrus HD macular parameters and were from 75 to 96 % for all RTVue macular parameters. AUCs from Cirrus HD macular parameters were 0.836 to 0.925 and from RTVue macular parameters were 0.878 to 0.949. These values were compared to the discriminating ability of cpRNFL parameters from each OCT.
Conclusions:
The two OCT macular ganglion cell analysis showed similar glaucoma diagnostic ability and were comparable with that of cpRNFL
Keywords: 531 ganglion cells •
550 imaging/image analysis: clinical