Henriët Springelkamp1, Kyungmoo Lee2, Roger C W Wolfs3, Gabriëlle H S Buitendijk1, Wishal D Ramdas1, Albert Hofman4, Johannes R Vingerling1, Caroline C W Klaver1, Michael D Abràmoff5, Nomdo M Jansonius6. 1. Department of Ophthalmology, Erasmus Medical Center, Rotterdam, The Netherlands Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands. 2. Department of Electrical and Computer Engineering, University of Iowa, Iowa City, Iowa, United States. 3. Department of Ophthalmology, Erasmus Medical Center, Rotterdam, The Netherlands. 4. Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands Netherlands Consortium for Healthy Ageing, Netherlands Genomics Initiative, The Hague, The Netherlands. 5. Department of Electrical and Computer Engineering, University of Iowa, Iowa City, Iowa, United States Department of Ophthalmology and Visual Sciences, University of Iowa, Iowa City, Iowa, United States. 6. Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands Department of Ophthalmology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Abstract
PURPOSE: We determined the glaucoma screening performance of regional optical coherence tomography (OCT) layer thickness measurements in the peripapillary and macular region, in a population-based setting. METHODS: Subjects (n = 1224) in the Rotterdam Study underwent visual field testing (Humphrey Field Analyzer) and OCT of the macula and optic nerve head (Topcon 3-D OCT-1000). We determined the mean thicknesses of the retinal nerve fiber layer (RNFL), retinal ganglion cell layer (RGCL), and inner plexiform layer for regions-of-interest; thus, defining a series of OCT parameters, using the Iowa Reference Algorithms. Reference standard was the presence of glaucomatous visual field loss (GVFL); controls were subjects without GVFL, an intraocular pressure (IOP) of 21 mm Hg or less, and no positive family history for glaucoma. We calculated the area under the receiver operating characteristics curve (AUCs) and the sensitivity at 97.5% specificity for each parameter. RESULTS: After excluding 23 subjects with an IOP > 21 mm Hg and 73 subjects with a positive family history for glaucoma, there were 1087 controls and 41 glaucoma cases. Mean RGCL thickness in the inferior half of the macular region showed the highest AUC (0.85; 95% confidence interval [CI] 0.77-0.92) and sensitivity (53.7%; 95% CI, 38.7-68.0%). The mean thickness of the peripapillary RNFL had an AUC of 0.77 (95% CI, 0.69-0.85) and a sensitivity of 24.4% (95% CI, 13.7-39.5%). CONCLUSIONS: Macular RGCL loss is at least as common as peripapillary RNFL abnormalities in population-based glaucoma cases. Screening for glaucoma using OCT-derived regional thickness identifies approximately half of those cases of glaucoma as diagnosed by perimetry. Copyright 2014 The Association for Research in Vision and Ophthalmology, Inc.
PURPOSE: We determined the glaucoma screening performance of regional optical coherence tomography (OCT) layer thickness measurements in the peripapillary and macular region, in a population-based setting. METHODS: Subjects (n = 1224) in the Rotterdam Study underwent visual field testing (Humphrey Field Analyzer) and OCT of the macula and optic nerve head (Topcon 3-D OCT-1000). We determined the mean thicknesses of the retinal nerve fiber layer (RNFL), retinal ganglion cell layer (RGCL), and inner plexiform layer for regions-of-interest; thus, defining a series of OCT parameters, using the Iowa Reference Algorithms. Reference standard was the presence of glaucomatous visual field loss (GVFL); controls were subjects without GVFL, an intraocular pressure (IOP) of 21 mm Hg or less, and no positive family history for glaucoma. We calculated the area under the receiver operating characteristics curve (AUCs) and the sensitivity at 97.5% specificity for each parameter. RESULTS: After excluding 23 subjects with an IOP > 21 mm Hg and 73 subjects with a positive family history for glaucoma, there were 1087 controls and 41 glaucoma cases. Mean RGCL thickness in the inferior half of the macular region showed the highest AUC (0.85; 95% confidence interval [CI] 0.77-0.92) and sensitivity (53.7%; 95% CI, 38.7-68.0%). The mean thickness of the peripapillary RNFL had an AUC of 0.77 (95% CI, 0.69-0.85) and a sensitivity of 24.4% (95% CI, 13.7-39.5%). CONCLUSIONS: Macular RGCL loss is at least as common as peripapillary RNFL abnormalities in population-based glaucoma cases. Screening for glaucoma using OCT-derived regional thickness identifies approximately half of those cases of glaucoma as diagnosed by perimetry. Copyright 2014 The Association for Research in Vision and Ophthalmology, Inc.
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