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Evaluation of relationship between retinal nerve fiber layer thickness progression and visual field progression in patients with glaucoma

  • Clinical Investigation
  • Published:
Japanese Journal of Ophthalmology Aims and scope Submit manuscript

Abstract

Purpose

To evaluate the capability of optical coherence tomography (OCT), retinal nerve fiber layer (RNFL) thickness, and visual field (VF) measurements in glaucoma progression detection.

Methods

The study examined 62 eyes of 37 glaucoma patients observed over a 3-year period. All eyes underwent at least four serial RNFL measurements performed by Cirrus OCT, with the first and last measurements separated by at least 3 years. VF testing was performed by using the Swedish interactive threshold algorithm (SITA) Standard 30-2 program of the Humphrey field analyzer (HFA) on the same day as the RNFL imaging. Both serial RNFL thicknesses and VF progression were assessed by the guided progression analysis (GPA) software program. RNFL thickness progression was evaluated by event analysis. Total deviation (TD) in the superior or inferior hemifield was also examined.

Results

A total of 295 OCT scans and 295 VFs were analyzed. Five eyes exhibited progression by OCT only and 8 eyes exhibited progression by VF GPA only. When the analysis was based on the combined measurement findings, progression was noted in 6 eyes. The average of the progressive hemifield TD at baseline for combined RNFL and VF progression was −3.21 ± 1.38 dB, while it was −2.17 ± 1.14 dB for RNFL progression and −9.12 ± 3.75 dB for VF progression. The average of the progressive hemifield TD indicated a significant advancement of VF progression as compared to RNFL progression (P = 0.002).

Conclusions

When a mild VF defect is present, OCT RNFL thickness measurements are important in helping discern glaucoma progression.

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References

  1. Weinreb RN, Khaw PT. Primary open-angle glaucoma. Lancet. 2004;363:1711–20.

    Article  PubMed  Google Scholar 

  2. Quigley HA, Addicks EM, Green WR. Optic nerve damage in human glaucoma. III. Quantitative correlation of nerve fiber loss and visual field defect in glaucoma, ischemic neuropathy, papilledema, and toxic neuropathy. Arch Ophthalmol. 1982;100:135–46.

    Article  CAS  PubMed  Google Scholar 

  3. Caprioli J. Automated perimetry in glaucoma. Am J Ophthalmol. 1991;111:235–9.

    CAS  PubMed  Google Scholar 

  4. Flammer J, Drance SM, Zulauf M. Differential light threshold. Short- and long-term fluctuation in patients with glaucoma, normal controls, and patients with suspected glaucoma. Arch Ophthalmol. 1984;102:704–6.

    Article  CAS  PubMed  Google Scholar 

  5. Boeglin RJ, Caprioli J, Zulauf M. Long-term fluctuation of the visual field in glaucoma. Am J Ophthalmol. 1992;113:396–400.

    CAS  PubMed  Google Scholar 

  6. The AGIS Investigators. Advanced Glaucoma Intervention Study 2. Visual field test scoring and reliability. Ophthalmology. 1994;101:1445–55.

    Google Scholar 

  7. Katz J. Scoring systems for measuring progression of visual field loss in clinical trials of glaucoma treatment. Ophthalmology. 1999;106:391–5.

    Article  CAS  PubMed  Google Scholar 

  8. Gordon MO, Kass MA. The Ocular Hypertension Treatment Study: design and baseline description of the participants. Arch Ophthalmol. 1999;117:573–83.

    Article  CAS  PubMed  Google Scholar 

  9. Heijl A, Leske MC, Bengtsson B, Bengtsson B, Bengtsson M, Early Manifest Glaucoma Trial Group. Measuring visual field progression in the Early Manifest Glaucoma Trial. Acta Ophthalmol Scand. 2003;81:286–93.

    Article  PubMed  Google Scholar 

  10. Cho JY, Sung KR, Yun SC, Na JH, Lee Y, Kook MS. Progression detection in different stage of glaucoma: mean deviation versus visual field index. Jpn J Ophthalmol. 2012;56:128–33.

    Article  PubMed  Google Scholar 

  11. Sung KR, Kim DY, Park SB, Kook MS. Comparison of retinal nerve fiber layer thickness measured by Cirrus HD and Stratus optical coherence tomography. Ophthalmology. 2009;116:1264–70.

    Article  PubMed  Google Scholar 

  12. Park SB, Sung KR, Kang SY, Kim KR, Kook MS. Comparison of glaucoma diagnostic capabilities of Cirrus HD and Stratus optical coherence tomography. Arch Ophthalmol. 2009;127:1603–9.

    Article  PubMed  Google Scholar 

  13. Mills RP, Budenz DL, Lee PP, Noecker RJ, Walt JG, Siegartel LR, et al. Categorizing the stage of glaucoma from pre-diagnosis to end-stage disease. Am J Ophthalmol. 2006;141:24–30.

    Article  PubMed  Google Scholar 

  14. Spaeth GL, Shieldds MB. The stage of glaucoma. Am J Ophthalmol. 2006;141:147–8.

    Article  PubMed  Google Scholar 

  15. Consensus statements. In: Weinreb RN, Greve EL, editors. Glaucoma diagnosis structure and function: reports and consensus statements of the 1st Global AIGS meeting on “Structure and function in the management of glaucoma”. The Hague: Kugler; 2004. p. 155–6.

  16. Wollstein G, Schuman JS, Price LL, Aydin A, Stark PC, Hertzmark E, et al. Optical coherence tomography longitudinal evaluation of retinal nerve fiber layer thickness in glaucoma. Arch Ophthalmol. 2005;123:464–70.

    Article  PubMed  Google Scholar 

  17. Leung CK, Cheung CY, Weinreb RN, Qiu K, Liu S, Li H, et al. Evaluation of retinal nerve fiber layer progression in glaucoma: a study on optical coherence tomography guided progression analysis. Invest Ophthalmol Vis Sci. 2010;51:217–22.

    Article  PubMed  Google Scholar 

  18. Leung CK, Liu S, Weinreb RN, Lai G, Ye C, Cheung CY, et al. Evaluation of retinal nerve fiber layer progression in glaucoma: a prospective analysis with neuroretinal rim and visual field progression. Ophthalmology. 2011;118:1551–7.

    Article  PubMed  Google Scholar 

  19. Hood DC, Anderson SC, Wall M, Raza AS, Kardon RH. A test of a linear model of glaucomatous structure–function loss reveals sources of variability in retinal nerve fiber and visual field measurements. Invest Ophthalmol Vis Sci. 2009;50:4254–66.

    Article  PubMed  Google Scholar 

  20. Leung CK, Medeiros FA, Zangwill LM, Sample PA, Bowd C, Ng D, et al. American Chinese glaucoma imaging study: a comparison of the optic disc and retinal nerve fiber layer in detecting glaucomatous damage. Invest Ophthalmol Vis Sci. 2007;48:2644–52.

    Article  PubMed  Google Scholar 

  21. Schlottmann PG, De Cilla S, Greenfield DS, Caprioli J, Garway-Heath DF. Relationship between visual field sensitivity and retinal nerve fiber layer thickness as measured by scanning laser polarimetry. Invest Ophthalmol Vis Sci. 2004;45:1823–9.

    Article  PubMed  Google Scholar 

  22. Leung CK, Chong KK, Chen WM, Yiu CK, Tso MY, Woo J, et al. Comparative study of retinal nerve fiber layer measurement by StratusOCT and GDx VCC, II: structure/function regression analysis in glaucoma. Invest Ophthalmol Vis Sci. 2005;46:3702–11.

    Article  PubMed  Google Scholar 

  23. Garway-Heath DF, Poinoosawmy D, Fitzke FW, Hitchings RA. Mapping the visual field to the optic disc in normal tension glaucoma eyes. Ophthalmology. 2000;107:1809–15.

    Article  CAS  PubMed  Google Scholar 

  24. Iester M, Capris E, De Feo F, Polvicino M, Brusini P, Capris P, et al. Agreement to detect glaucomatous visual field progression by using three different methods: a multicentre study. Br J Ophthalmol. 2011;95:1276–83.

    Article  CAS  PubMed  Google Scholar 

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Acknowledgments

The authors wish to thank Mr. Kazunori Santo for the statistical analysis of the data.

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Correspondence to Kazuyuki Hirooka.

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Tenkumo, K., Hirooka, K., Baba, T. et al. Evaluation of relationship between retinal nerve fiber layer thickness progression and visual field progression in patients with glaucoma. Jpn J Ophthalmol 57, 451–456 (2013). https://doi.org/10.1007/s10384-013-0254-8

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  • DOI: https://doi.org/10.1007/s10384-013-0254-8

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