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C. Vass, H. Resch, C. Hirn, W. Geitzenauer, C. Leydolt, B. Brela, C. Resch, U. Schmidt-Erfurth; Glaucoma Diagnosis Using Quantitative Analysis of Macular Raster Scanning HR-OCT. Invest. Ophthalmol. Vis. Sci. 2008;49(13):4653. doi: https://doi.org/.
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© ARVO (1962-2015); The Authors (2016-present)
Fast scanning high resolution optical coherence tomography (HR-OCT) enables quantitative analysis of histological retinal layers. Aim of the study was to evaluate the discriminating power of the mean thickness of macular retinal ganglion
Macular HR-OCT scans (Cirrus, Carl Zeiss Meditec) were obtained in 16 glaucoma patients and 12 age matched healthy subjects using raster scanning of a 20°x 20° field at a resolution of 512x128x1024 voxels. Only 1 eye per subject was included. The scans were analysed using a software algorithm for automated segmentation and quantification of retinal layers. We analysed retinal nerve fibre layer (RNFL), retinal ganglion cell layer (RGCL), RGCL together with the inner plexiform layer (RGIPL), photorezeptor layer (PRL) and the retinal thickness (RT). Statistical analysis was performed using t-tests and ROC curves.
Mean defect of visual field of glaucoma eyes was -6.9 dB (0.65 to -25.07) and 7 of those eyes had a MD of better than -6.0 dB. In glaucoma patients the mean thickness was significntly reduced (p<0.001) compared to healthy subjects for RNFL (15.4 vs. 29.1), RGCL (24.12 vs. 33.7), RGIPL (53.9 vs. 72.4), and RT (253,5 vs. 283,8). There was no significant difference in PRL thickness between groups. Discrimination between groups (ROC) was best for RNFL (0.995) followed by RT (0.938), RGCL (0.911) and RGIPL (0.906).
We demonstrate good discrimination between glaucomatous and healthy eyes using quantitative analysis of macular HR-OCT.
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