Peripapillary retinal nerve fiber layer thickness in different glaucoma stages measured by optical coherence tomography

  • Maja Živković Ophthalmology Clinic, Clinical Center Niš, Niš, Serbia
  • Vesna Jakšić Faculty of Medicine, University of Belgrade, Belgrade, Serbia
  • Predrag Jovanović Ophthalmology Clinic, Clinical Center Niš, Niš, Serbia
  • Marko Zlatanović Ophthalmology Clinic, Clinical Center Niš, Niš, Serbia
  • Gordana Zlatanović Ophthalmology Clinic, Clinical Center Niš, Niš, Serbia
  • Jasmina Djordjević-Jocić Ophthalmology Clinic, Clinical Center Niš, Niš, Serbia
Keywords: glaucoma, open-angle, disease progression, nerve fibers, optic disk, diagnosis, tomography, optical, coherence, sensitivity and specificity,

Abstract


Background/Aim. One of the most reliable methods for structural measurements of glaucomatous damage is spectral domain optical coherence tomography (SD-OCT). The aim of this study was to measure peripapillary retinal nerve fiber layer (RNFL) thickness with SD-OCT in eyes with different stages of glaucoma, as well as to determine which sector in the peripapillary circle is the most vulnerable to glaucomatous damage. Methods. The study included 153 eyes of 93 patients with confirmed primary open angle glaucoma (POAG). All the patients underwent a complete ophthalmic examination, including visual field testing and peripapillary RNFL thickness measured by SD-OCT. They were divided into three subgroups: early, moderate and severe stage of glaucoma based on the mean deviation (MD) index of visual field. The results were presented as mean RNFL thickness: total, in the four quadrants and 12 clock-hour RNFL thickness. Results. The overall mean peripapillary RNFL was 74.95 ± 14.51 μm. The lower quadrant had the thickest RNFL (92.78 ± 25.84 μm), followed by upper (88.82 ± 22.04 μm), nasal (64.31 ± 11.67 μm) and temporal ones (54.02 ± 12.76 μm), showing a significant difference (χ2 = 273.36, DF = 3, p < 0.001). Comparison between RNFL thickness in early glaucoma and moderate and severe stages revealed that the most sensitive sectors were inferior and superior ones, as well as sectors at 5–7 clock hour position. The greatest decrease in RNFL thickness was observed in the 9 o'clock hour sector in all three glaucoma subgroups (46.99 ± 13.28 μm), while the RNFL was the thickest in the 6 o'clock hour sector (102.63 ± 34.12 μm). Conclusion. Peripapillary RNFL thickness is inversely proportional to the degree of glaucomatous damage: the greater the damage, the thinner peripapillary RNFL.

 

 

References

Deleon-Ortega JE, Arthur SN, McGwin G Jr, Xie A, Monheit BE, Girkin CA. Discrimination between glaucomatous and nonglaucomatous eyes using quantitative imaging devices and subjective optic nerve head assessment. Invest Ophthalmol Vis Sci 2006; 47(8): 3374−80.

Medeiros FA, Zangwill LM, Bowd C, Vessani RM, Susanna R, Weinreb RN. Evaluation of retinal nerve fiber layer, optic nerve head, and macular thickness measurements for glaucoma de-tection using optical coherence tomography. Am J Ophthal-mol 2005; 139(1): 44−55.

Jaffe GJ, Caprioli J. Optical coherence tomography to detect and manage retinal disease and glaucoma. Am J Ophthalmol 2004; 137(1): 156−69.

Greaney MJ, Hoffman DC, Garway-Heath DF, Nakla M, Coleman AL, Caprioli J. Comparison of optic nerve imaging methods to distinguish normal eyes from those with glaucoma. Invest Ophthalmol Vis Sci 2002; 43(1): 140−5.

Zangwill LM, Bowd C, Berry CC, Williams J, Blumenthal EZ, Sánchez-Galeana CA, et al. Discriminating between normal and glaucomatous eyes using the Heidelberg Retina Tomograph, GDx Nerve Fiber Analyzer, and Optical Coherence Tomo-graph. Arch Ophthalmol 2001; 119(7): 985−93.

Gupta PK, Asrani S, Freedman SF, El-Dairi M, Bhatti TM. Dif-ferentiating glaucomatous from non-glaucomatous optic nerve cupping by optical coherence tomography. Open Neurol J 2011; 5: 1−7.

Cvenkel B, Kontestabile AS. Correlation between nerve fibre layer thickness measured with spectral domain OCT and visual field in patients with different stages of glaucoma. Graefes Arch Clin Exp Ophthalmol 2011; 249(4): 575−84.

Sakata LM, Deleon-Ortega J, Sakata V, Girkin CA. Optical co-herence tomography of the retina and optic nerve: A review. Clin Experiment Ophthalmol 2009; 37(1): 90−9.

Savini G, Barboni P, Carbonelli M, Zanini M. The effect of scan diameter on retinal nerve fiber layer thickness measurement using stratus optic coherence tomography. Arch Ophthalmol 2007; 125(7): 901−5.

Parikh RS, Parikh SR, Sekhar GC, Prabakaran S, Babu JG, Thom-as R. Normal age-related decay of retinal nerve fiber layer thickness. Ophthalmology 2007; 114(5): 921−6.

Wu Z, Vazeen M, Varma R, Chopra V, Walsh AC, LaBree LD, et al. Factors associated with variability in retinal nerve fiber layer thickness measurements obtained by optical coherence tomography. Ophthalmology 2007; 114(8): 1505−12.

Harwerth RS, Wheat JL, Rangaswamy NV. Age-related losses of retinal ganglion cells and axons. Invest Ophthalmol Vis Sci 2008; 49(10): 4437−43.

Shoji T, Sato H, Ishida M, Takeuchi M, Chihara E. Assessment of glaucomatous changes in subjects with high myopia using spectral domain optical coherence tomography. Invest Oph-thalmol Vis Sci 2011; 52(2): 1098−102.

Soltani-Moghadam R, Alizadeh Y, Kazemnezhad Leili E, Absari Haghighi M. Reproducibility of peripapillary retinal nerve fiber layer thickness measurements with cirrus HD-OCT in glau-comatous eyes. Int J Ophthalmol 2015; 8(1): 113−7.

Mwanza J, Chang RT, Budenz DL, Durbin MK, Gendy MG, Shi W, et al. Reproducibility of peripapillary retinal nerve fiber layer thickness and optic nerve head parameters measured with cir-rus HD-OCT in glaucomatous eyes. Invest Ophthalmol Vis Sci 2010; 51(11): 5724−30.

Hood DC, Raza AS. On improving the use of OCT imaging for detecting glaucomatous damage. Br J Ophthalmol 2014; 98(Suppl 2): ii1−ii9.

Kerrigan-Baumrind LA, Quigley HA, Pease ME, Kerrigan DF, Mitchell RS. Number of ganglion cells in glaucoma eyes com-pared with threshold visual field tests in the same persons. In-vest Ophthalmol Vis Sci 2000; 41(3): 741−8.

Taliantzis S, Papaconstantinou D, Koutsandrea C, Moschos M, Apos-tolopoulos M, Georgopoulos G. Comparative studies of RNFL thickness measured by OCT with global index of visual fields in patients with ocular hypertension and early open angle glau-coma. Clin Ophthalmol 2009; 3: 373−9.

Galvão Filho RP, Vessani RM, Susanna R Jr. Comparison of reti-nal nerve fibre layer thickness and visual field loss between different glaucoma groups. Br J Ophthalmol 2005; 89(8): 1004−7.

Sihota R, Sony P, Gupta V, Dada T, Singh R. Diagnostic capabil-ity of optical coherence tomography in evaluating the degree of glaucomatous retinal nerve fiber damage. Invest Ophthal-mol Vis Sci 2006; 47(5): 2006−10.

Leung CK, Chan WM, Yung WH, Ng AC, Woo J, Tsang MK, et al. Comparison of macular and peripapillary measurements for the detection of glaucoma: An optical coherence tomography study. Ophthalmology 2005; 112(3): 391−400.

Lin SC, Singh K, Jampel HD, Hodapp EA, Smith SD, Francis BA, et al. Optic nerve head and retinal nerve fiber layer analysis: a report by the American Academy of Ophthalmology. Oph-thalmology 2007; 114(10): 1937−49.

Hwang YH, Kim YY. Glaucoma diagnostic ability of quadrant and clock-hour neuroretinal rim assessment using cirrus HD optical coherence tomography. Invest Ophthalmol Vis Sci 2012; 53(4): 2226−34.

Hood DC, Anderson SC, Wall M, Kardon RH. Structure versus function in glaucoma: an application of a linear model. Invest Ophthalmol Vis Sci 2007; 48(8): 3662−8.

Horn FK, Mardin CY, Laemmer R, Baleanu D, Juenemann AM, Kruse FE, et al. Correlation between local glaucomatous visual field defects and loss of nerve fiber layer thickness measured with polarimetry and spectral domain OCT. Invest Ophthal-mol Vis Sci 2009; 50(5): 1971−7.

Racette L, Chiou CY, Hao J, Bowd C, Goldbaum MH, Zangwill LM, et al. Combining functional and structural tests improves the diagnostic accuracy of relevance vector machine classifiers. J. Glaucoma 2010; 19(3): 167−75.

Bizios D, Heijl A, Bengtsson B. Integration and fusion of standard automated perimetry and optical coherence tomography data for improved automated glaucoma diagnostics. BMC Ophthalmol 2011;11: 20.

Published
2017/06/02
Section
Original Paper