Publication: Diagnostic Ability of Macular Nerve Fiber Layer Thickness Using New Segmentation Software in Glaucoma Suspects
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Publication Date
2014-12
Authors
Martinez de la Casa, Jose Maria
Cifuentes Canorea, Pilar
Berrozpe Villabona, Clara
Sastre Ibáñez, Marina
Polo Llorens, Vicente
Moreno Montañes, Javier
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The Association for Research in Vision and Ophthalmology, Inc.
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Abstract
Purpose. To assess the capacity of internal retinal layer thickness measurements made at the macula using new spectral-domain optical coherence tomography (OCT) software to distinguish between healthy subjects and those with suspected glaucoma. The diagnostic performance of such measurements also was compared with that of conventional peripapillary retinal nerve fiber layer (RNFL) thickness measurements.
Methods. The study included 38 subjects with suspected glaucoma and 38 age-matched healthy subjects. In one randomly selected eye of each participant, thickness measurements at the level of the macula were made of the nerve fiber layer (mRNFL), the ganglion cell layer (GCL), and the ganglion cell complex (GCC; GCL + internal plexiform layer) through automated OCT segmentation. Peripapillary RNFL thickness (pRNFL) also was determined using the conventional scan.
Results. As the only variable showing intergroup variation, mRNFL in the glaucoma suspects was significantly thinner in the quadrants inner inferior (P = 0.003), inner temporal (P = 0.010), and outer inferior (P = 0.017). The variable best able to discriminate between the two groups was inner inferior mRNFL thickness, as indicated by an area below the receiver operating characteristic (ROC) curve of 0.742.
Conclusions. Macular RNFL thickness measurements showed an improved diagnostic capacity over the other variables examined to distinguish between healthy subjects and glaucoma suspects.
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© ARVO
Submitted: August 19, 2014 / Accepted: November 4, 2014
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Unesco subjects
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1. American Academy of Ophthalmology Glaucoma Panel. Preferred Practice Pattern. Primary Open-Angle Glaucoma. San Francisco, CA: American Academy of Ophthalmology; 2005: 3.
2. Quigley HA. Neuronal death in glaucoma. Prog Retin Eye Res. 1999; 18: 39–57.
3. Weinreb RN Khaw PT. Primary open-angle glaucoma. Lancet. 2004; 363: 1711–1720.
4. Spaeth G Walt J Keener J. Evaluation of quality of life for patients with glaucoma. Am J Ophthalmol. 2006; 141: 3–14.
5. Parrish RK II Schiffman JC Feuer WJ Ocular Hypertension Treatment Study Group. Test-retest reproducibility of optic disk deterioration detected from stereophotographs by masked graders. Am J Ophthalmol. 2005; 140: 762–764.
6. Zeyen T Miglior S Pfeiffer N Cunha-Vaz J Adamsons I. European Glaucoma Prevention Study Group. Reproducibility of evaluation of optic disc change for glaucoma with stereo optic disc photographs. Ophthalmology. 2003; 110: 340–344.
7. Zeimer R Asrani S Zou S Quigley H Jampel H. Quantitative detection of glaucomatous damage at the posterior pole by retinal thickness mapping: a pilot study. Ophthalmology. 1998; 105: 224–231.
8. Bagga H Greenfield DS Knighton RW. Macular symmetry testing for glaucoma detection. J Glaucoma. 2005; 14: 358– 363.
9. Wollstein G Schuman JS Price LL Optical coherence tomography (OCT) macular and peripapillary retinal nerve fiber layer measurements and automated visual fields. Am J Ophthalmol. 2004; 138: 218–225.
10. Lederer DE Schuman JS Hertzmark E Analysis of macular volume in normal and glaucomatous eyes using optical coherence tomography. Am J Ophthalmol. 2003; 135: 838–843.
11. Chylack LT Jr Wolfe JK Singer DM The Lens Opacities Classification System III. Arch Ophthalmol. 1993; 111: 831–836.
12. Schuman JS Pedut-Kloizman T Hertzmark E Reproducibility of nerve fiber layer thickness measurements using optical coherence tomography. Ophthalmology. 1996; 103: 1889–1898.
13. Hanley JA McNeil BJ. A method of comparing the areas under receiver operating characteristic curves derived from the same cases. Radiology. 1983; 148: 839–843.
14. Kotera Y Hangai M Hirose F Mori S Yoshimura N. Three-dimensional imaging of macular inner structures in glaucoma by using spectral-domain optical coherence tomography. Invest Ophthalmol Vis Sci. 2011; 52: 1412–1421.
15. Ishikawa H Stein DM Wollstein G Beaton S Fujimoto JG Shuman JS. Macular segmentation with optical coherence tomography. Invest Ophthalmol Vis Sci. 2005; 46: 2012–2017.
16. Tan O Li G Lu AT Varma R Huang D. Advanced imaging for glaucoma study group. Mapping of macular substructures with optical coherence tomography for glaucoma diagnosis. Ophthalmology. 2008; 115: 949–956.
17. Francoz M Fenolland JR Giraud JM Reproducibility of macular ganglion cell-inner plexiform layer thickness measurement with cirrus HD-OCT in normal, hypertensive and glaucomatous eyes. Br J Ophthalmol. 2014; 98: 322–328.
18. Tan O Chopra V Lu AT Detection of macular ganglion cell loss in glaucoma by Fourier-domain optical coherence tomography. Ophthalmology. 2009; 116: 2305–2314.
19. Seong M Sung KR Choi EH Macular and peripapillary retinal nerve fiber layer measurements by spectral domain optical coherence tomography in normal-tension glaucoma. Invest Ophthalmol Vis Sci. 2010; 51: 1446–1452.
20. Morrison JC Dorman-Pease ME Dunkelberger GR Quigley HA. Optic nerve head extracellular matrix in primary optic atrophy and experimental glaucoma. Arch Ophthalmol. 1990; 108: 1020–1024.
21. Quigley HA Brown A Dorman-Pease ME. Alterations in elastin of the optic nerve head in human and experimental glaucoma. Br J Ophthalmol. 1991; 75: 552–557.
22. Quigley HA Addicks EM. Chronic experimental glaucoma in primates II. Effect of extended intraocular pressure elevation on optic nerve head and axonal transport. Invest Ophthalmol Vis Sci. 1980; 19: 137–152.
23. Martin KR Quigley HA Valenta D Kielczewski J Pease ME. Optic nerve dynein motor protein distribution changes with intraocular pressure elevation in a rat model of glaucoma. Exp Eye Res. 2006; 83: 255–262.