Journals / Glokom Katarakt / 2020 / Cilt: 15 - Sayı: 3

Correlation Between Retinal Nerve Fiber Layer, Optic Nerve Head and Macular Parameters and Structure Function Relationship in Glaucoma

Pages
181–188
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

TR and some ONH parameters like rim area and volume can give supplementary information to use in clinical practice.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Purpose: To evaluate correlation between visual fi eld indices and spectral domain optical coherence tomography (SD-OCT) parameters and correlation among SD-OCT parameters to have a better understanding of role of SD-OCT parameters in clinical practice.
📊
Key Findings & Data:Three hundred forty-three eyes (91 healthy, 80 ocular hypertension, 97 preperimetric glaucoma and 75 early glaucoma eyes) were analyzed.
💡
Conclusion & Impact:TR and some ONH parameters like rim area and volume can give supplementary information to use in clinical practice.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Özet

Purpose: To evaluate correlation between visual fi eld indices and spectral domain optical coherence tomography (SD-OCT) parameters and correlation among SD-OCT parameters to have a better understanding of role of SD-OCT parameters in clinical practice. Materials and Methods: This is a retrospective controlled clinical study. Three hundred forty-three eyes (91 healthy, 80 ocular hypertension, 97 preperimetric glaucoma and 75 early glaucoma eyes) were analyzed. Retinal nerve fi ber layer (RNFL), macular, optic nerve head (ONH) parameters were measured with SD-OCT. Correlation between visual fi eld indices and SD-OCT parameters and correlation among SD-OCT parameters were calculated. Results: Average RNFL showed the best correlation with both mean deviation (MD) (r = 0.624) and pattern standard deviation (PSD) (r = 0.614). Other RNFL parameters, ganglion cell complex (GCC) parameters and total retina (TR) parameters showed moderate correlation whereas outer retina (OR) and ONH parameters showed poor correlation with MD. Correlation between RNFL and GCC parameters was strong. Correlation between RNFL and TR parameters was moderate. Poor correlation were found between OR parameters and both RNFL and GCC parameters. Moderate correlation was found between average RNFL and both rim area and rim volume. Other correlations with ONH parameters were poor. Conclusion: Good structure function relationship is present between visual fi eld indices and SD-OCT parameters like RNFL and GCC parameters. These parameters refl ect the severity of glaucoma and can be used for glaucoma monitoring. TR and some ONH parameters like rim area and volume can give supplementary information to use in clinical practice.

🔖

Cite This Article

GEZGINASLAN, T. A., AKCAY, B. I. S., KARDES, E. (2020). Correlation Between Retinal Nerve Fiber Layer, Optic Nerve Head and Macular Parameters and Structure Function Relationship in Glaucoma. Glokom Katarakt, Cilt: 15 - Sayı: 3, 181–188. https://ajindex.com/articles/216642

References (13)

  1. Quigley HA, Dunkelberger GR, Green WR. Retinal ganglion cell atrophy correlated with automated perimetry in human eyes with glaucoma. Am J Ophthalmol. 1989;107:453-64
  2. Quigley HA, Miller NR, George T. Clinical evaluation of nerve fi ber layer atrophy as an indicator of glaucomatous optic nerve damage. Arch Ophthalmol. 1980;98:1564-71
  3. Sung KR, Na JH, Lee Y. Glaucoma diagnostic capabilities of optic nerve head parameters as determined by cirrus HD optical coherence tomography. J Glaucoma. 2012;21:498- 504
  4. Nakatani Y, Higashide T, Ohkubo S, et al. Evaluation of macular thickness and peripapillary retinal nerve fi ber layer thickness for detection of early glaucoma using spectral domain optical coherence tomography. J Glaucoma. 2011;20:252-9
  5. Yamada H, Hangai M, Nakano N, et al. Asymmetry analysis of macular inner retinal layers for glaucoma diagnosis. Am J Ophthalmol. 2014;158:1318-29
  6. Garas A, Vargha P, Hollo G. Diagnostic accuracy of nerve fi ber layer, macular thickness and optic disc measurements made with the RTVue-100 optical coherence tomography to detect glaucoma. Eye 2011;25:57-65
  7. Begum VU, Addepalli UK, Yadav RK, et al. Ganglion cellinner plexiform layer thickness of high defi nition optical coherence tomography in perimetric and preperimetric glaucoma. Invest Ophthalmol Vis Sci. 2014;55:4768-75
  8. Lisboa R, Paranhos A Jr, Weinreb RN, et al. Comparison of different spectral domain OCT scanning protocols for diagnosing preperimetric glaucoma. Invest Ophthalmol Vis Sci. 2013;54:3417-25
  9. Rao HL, Addepalli UK, Chaudhary S, et al. Ability of different scanning protocols of spectral domain optical coherence tomography to diagnose preperimetric glaucoma. Invest Ophthalmol Vis Sci. 2013;54:7252–7
  10. Arintawati P, Sone T, Akita T, et al. The applicability of ganglion cell complex parameters determined from SDOCT images to detect glaucomatous eyes. J Glaucoma. 2013;22:713-8
  11. Rolle T, Briamonte C, Curto D, et al. Ganglion cell complex and retinal nevre fi ber layer measured by fourier-domain optical coherence tomography for early detection of structural damage in patinets with preperimetric glaucoma. Clin Ophthalmol. 2011;5:961-9
  12. Kim YJ, Kang MH, Cho HY, et al. Comparative study of macular ganglion cell complex thickness measured by spectral-domain optical coherence tomography in healthy eyes, eyes with preperimetric glaucoma, and eyes with early glaucoma. Jpn J Ophthalmol. 2014;58:244-51
  13. Aydogan T, Akçay BİS, Kardeş