Original ArticleEvaluation of retinal nerve fiber layer, optic nerve head, and macular thickness measurements for glaucoma detection using optical coherence tomography
Section snippets
Methods
THIS OBSERVATIONAL CROSS-SECTIONAL STUDY INCLUDED 166 eyes of 166 patients (88 glaucomatous patients and 78 healthy control subjects). Mean age (± SD) of glaucoma patients and healthy individuals was 68 ± 11 years and 65 ± 9 years, respectively (P = .09; Student’s t test). Subjects were evaluated at the Hamilton Glaucoma Center, University of California, San Diego, from April 2002 to January 2004. These patients were included in a prospective longitudinal study designed to evaluate optic nerve
RNFL thickness measurements
Table 1 shows mean values of Stratus OCT RNFL parameters in glaucomatous and normal eyes. After Bonferroni’s correction (α = 0.002; 25 comparisons), statistical significant differences were found for all parameters except thickness at 9-o’clock, Imax/Smax, Smax/Tavg, and Smax/Navg. Table 1 also shows ROC curve areas and sensitivities at fixed specificities. The 3 Stratus OCT RNFL parameters with largest areas under the ROC curves were inferior thickness (0.91), average thickness (0.91), and
Discussion
THE ANALYSIS OF STRATUS OCT SOFTWARE-PROVIDED PArameters showed that parapapillary RNFL measures and ONH topographic parameters had the highest power to discriminate glaucomatous from healthy eyes. Areas under the ROC curves and sensitivities at moderate and high specificities were similar for the best parameters from each of these two methods of analysis. We also found that a combination of selected RNFL and ONH parameters in a linear discriminant function resulted in further improvement of
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Supported in part by the Foundation for Eye Research (F.A.M.) and NIH Grant EY11008 (L.M.Z.).