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Correlation between depth and area of retinal nerve fiber layer defect as measured by spectral domain optical coherence tomography

  • Min Hee Suh
  • Byeong Wook Yoo
  • Ki Ho Park
  • Jung Yup Kim
  • Hyunjoong Kim
  • Hee Chan Kim
Glaucoma

Abstract

Background

To evaluate the correlation between the depth and area of retinal nerve fiber layer (RNFL) defect, as measured on an RNFL map of spectral-domain optical coherence tomography (SD-OCT).

Methods

The RNFL of 472 glaucoma subjects and of 217 healthy subjects was imaged by an SD-OCT. RNFL defect depth and area on the RNFL map were expressed as an RNFL defect depth percentage index (RDPI) and an RNFL defect area index (RDAI), respectively, according to the following two formulas: 100×[1–{summation of thicknesses of RNFL defects/summation of thicknesses of upper 95th percentile range of age-matched healthy subjects in areas corresponding to defects}]; 100×[number of superpixels of RNFL defects/(46 × 46–superpixels inside optic disc or β zone parapapillary atrophy)]. The best-fitting model describing the relationship between the two parameters was derived by fractional polynomial analysis.

Results

Logarithmic fit was determined to be the best-fitting model in describing the relationship of the RDPI against the RDAI (y = 53.4 + 3.7 ln(x) and y = 50.9 + 5.9 ln(x) in superior and inferior hemifields, respectively). The expected RDAIs at the point where the RDPI and RDAI rates of change were the same were 3.7 and 5.9 %; the corresponding upper 95 % confidence interval limits of the RDPI 59.0 and 61.8 % in the superior and inferior hemifields, respectively.

Conclusions

The correlation between the RNFL defect depth and area, as derived from the RNFL map, was best described by the logarithmic fit. Changes were more marked in depth than in area, especially for mild localized defects.

Keywords

Retinal nerve fiber layer defect depth Retinal nerve fiber layer defect area 

Notes

Acknowledgments

This work was supported by a grant from Research year of Inje University in 2015.

Conflict of Interest

None of the authors has any financial/conflicting interests to disclose.

References

  1. 1.
    Tuulonen A, Airaksinen PJ (1991) Initial glaucomatous optic disk and retinal nerve fiber layer abnormalities and their progression. Am J Ophthalmol 111:485–490CrossRefPubMedGoogle Scholar
  2. 2.
    Suh MH, Yoo BW, Kim JY, Choi YJ, Park KH, Kim HC (2014) Quantitative assessment of retinal nerve fiber layer defect depth using spectral-domain optical coherence tomography. Ophthalmology 121:1333–1340CrossRefPubMedGoogle Scholar
  3. 3.
    Suh MH, Kim DM, Kim YK, Kim TW, Park KH (2010) Patterns of progression of localized retinal nerve fibre layer defect on red-free fundus photographs in normal-tension glaucoma. Eye (Lond) 24:857–863CrossRefGoogle Scholar
  4. 4.
    Leung CK-S, Yu M, Weinreb RN, Lai G, Xu G, Lam DS-C (2012) Retinal nerve fiber layer imaging with spectral-domain optical coherence tomography. Ophthalmol: Pattern Retin Nerve Fiber Layer Progression 119:1858–1866CrossRefGoogle Scholar
  5. 5.
    Leung CK, Choi N, Weinreb RN, Liu S, Ye C, Liu L, Lai GW, Lau J, Lam DS (2010) Retinal nerve fiber layer imaging with spectral-domain optical coherence tomography: pattern of RNFL defects in glaucoma. Ophthalmology 117:2337–2344CrossRefPubMedGoogle Scholar
  6. 6.
    Park HYL, Park CK (2013) Structure-function relationship and diagnostic value of RNFL area index compared with circumpapillary RNFL thickness by spectral-domain OCT. J Glaucoma 22:88–97CrossRefPubMedGoogle Scholar
  7. 7.
    de Vet HCTC, Mokkink LB, Knol DL (2011) Measurement in Medicine: A Practical Guide. Cambridge University Press, Cambridge, pp 91–92CrossRefGoogle Scholar
  8. 8.
    Nassif N, Cense B, Park BH, Yun SH, Chen TC, Bouma BE, Tearney GJ, de Boer JF (2004) In vivo human retinal imaging by ultrahigh-speed spectral domain optical coherence tomography. Opt Lett 29:480–482CrossRefPubMedGoogle Scholar
  9. 9.
    Choma MA SM, Yang CH, Izatt JA (2003) Sensitivity advantage of swept source and Fourier domain optical coherence tomography. Opt Express [serial online], pp. 2183–2189Google Scholar
  10. 10.
    Suh MH, Kim SK, Park KH, Kim DM, Kim SH, Kim HC (2013) Combination of optic disc rim area and retinal nerve fiber layer thickness for early glaucoma detection by using spectral domain OCT. Graefes Arch Clin Exp Ophthalmol 251:2617–2625CrossRefPubMedGoogle Scholar
  11. 11.
    Ye C, To E, Weinreb RN, Yu M, Liu S, Lam DSC, Leung CKS (2011) Comparison of retinal nerve fiber layer imaging by spectral domain optical coherence tomography and scanning laser ophthalmoscopy. Ophthalmology 118:2196–2202CrossRefPubMedGoogle Scholar
  12. 12.
    Cheung CY, Chen D, Wong TY, Tham YC, Wu R, Zheng Y, Cheng CY, Saw SM, Baskaran M, Leung CK, Aung T (2011) Determinants of quantitative optic nerve measurements using spectral domain optical coherence tomography in a population-based sample of non-glaucomatous subjects. Invest Ophthalmol Vis Sci 52:9629–9635CrossRefPubMedGoogle Scholar
  13. 13.
    Sauerbrei W, Meier-Hirmer C, Benner A, Royston P (2006) Multivariable regression model building by using fractional polynomials: description of SAS, STATA and R programs. Comput Stat Data Anal 50:3464–3485CrossRefGoogle Scholar
  14. 14.
    Suh MH, Kim SH, Park KH, Kim SJ, Kim TW, Hwang SS, Kim DM (2011) Comparison of the correlations between optic disc rim area and retinal nerve fiber layer thickness in glaucoma and nonarteritic anterior ischemic optic neuropathy. Am J Ophthalmol 151:277–286CrossRefPubMedGoogle Scholar
  15. 15.
    Leung CK, Chong KK, Chan WM, Yiu CK, Tso MY, Woo J, Tsang MK, Tse KK, Yung WH (2005) Comparative study of retinal nerve fiber layer measurement by StratusOCT and GDx VCC, II: structure/function regression analysis in glaucoma. Invest Ophthalmol Vis Sci 46:3702–3711CrossRefPubMedGoogle Scholar
  16. 16.
    Burnham KP, Anderson DR (2002) Information and likelihood theory: a basis for model selection and inference. In: Model Selection and Multimodal Inference: A Practical Information and Theoretic Approach. 2nd ed. Springer, New York, pp. 49–97Google Scholar
  17. 17.
    Jeoung JW, Kim SH, Park KH, Kim TW, Kim DM (2010) Quantitative assessment of diffuse retinal nerve fiber layer atrophy using optical coherence tomography: diffuse atrophy imaging study. Ophthalmology 117:1946–1952CrossRefPubMedGoogle Scholar
  18. 18.
    Mwanza JC, Durbin MK, Budenz DL, Girkin CA, Leung CK, Liebmann JM, Peace JH, Werner JS, Wollstein G, Cirrus OCT Normative Database Study Group (2010) Profile and predictors of normal ganglion cell-inner plexiform layer thickness measured with frequency-domain optical coherence tomography. Invest Ophthalmol Vis Sci 52:7872–7879CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  • Min Hee Suh
    • 1
  • Byeong Wook Yoo
    • 2
  • Ki Ho Park
    • 3
    • 4
  • Jung Yup Kim
    • 1
  • Hyunjoong Kim
    • 5
  • Hee Chan Kim
    • 6
  1. 1.Department of Ophthalmology, Haeundae Paik HospitalInje University College of MedicineBusanKorea
  2. 2.Interdisciplinary Program, Bioengineering Major, Graduate SchoolSeoul National UniversitySeoulKorea
  3. 3.Department of OphthalmologySeoul National University College of MedicineSeoulKorea
  4. 4.Department of OphthalmologySeoul National University HospitalSeoulKorea
  5. 5.Department of Applied StatisticsYonsei UniversitySeoulKorea
  6. 6.Department of Biomedical Engineering, College of Medicine and Institute of Medical & Biological Engineering, Medical Research CenterSeoul National UniversitySeoulKorea

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