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. 2022 May-Aug;16(2):96-104.
doi: 10.5005/jp-journals-10078-1365.

Pattern Electroretinogram Parameters and their Associations with Optical Coherence Tomography in Glaucoma Suspects

Andrew Tirsi  1 , Amanda Wong  2 , Daniel Zhu  2 , Guillaume Stoffels  3 , Peter Derr  4 , Celso Tello Md  1
Affiliations

Pattern Electroretinogram Parameters and their Associations with Optical Coherence Tomography in Glaucoma Suspects

Andrew Tirsi et al. J Curr Glaucoma Pract. 2022 May-Aug.

Abstract

Aim: To investigate whether steady state pattern electroretinogram (ssPERG) could identify retinal ganglion cell (RGC) dysfunction, and to assess the relationship between ssPERG with optical coherence tomography (OCT) measurements in glaucoma suspects (GS).

Materials and methods: This was a prospective cohort study of GS, identified based on suspicious optic disk appearance and glaucoma risk factors. Complete eye exam, Standard automated perimetry, OCT, and ssPERG were performed. Magnitude (Mag), Magnitude D (MagD), and MagD/Mag ratio were subsequently used in the correlation and linear regression analyses between ssPERG parameters and the RNFL, GCL/IPL, and macular thicknesses measurements.

Results: Forty-nine eyes of 26 patients were included. Mag and MagD were significantly correlated with the superior, inferior, and average RNFL thicknesses (avRNFLT). All ssPERG parameters were significantly correlated with the average and minimum GCL/IPL thicknesses and the inner macular sector thicknesses. Mag and MagD significantly predicted the superior, inferior, and avRNFLT in the regression analysis. All ssPERG parameters were predictive of GCL/IPL thickness in all sectors as well as the average and minimum GCL/IPL thicknesses. All ssPERG parameters were predictive of all inner macular sector thicknesses and MagD was also predictive of some outer macular sector thicknesses as well.

Conclusion: ssPERG has significant correlations with and is predictive of RNFL, GCL/IPL, and macular thicknesses in glaucoma suspects.

Clinical significance: ssPERG may serve as a useful objective functional tool for identifying and following the progression of disease in glaucoma suspects.

How to cite this article: Tirsi A, Wong A, Zhu D, et al. Pattern Electroretinogram Parameters and their Associations with Optical Coherence Tomography in Glaucoma Suspects. J Curr Glaucoma Pract 2022;16(2):96-104.

Keywords: Ganglion cell layer; Glaucoma; Glaucoma suspect; Inner plexiform layer; Macula; Optic nerve; Optical coherence tomography; Retinal ganglion cell; Retinal nerve fiber layer; Steady state pattern electroretinogram.

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Conflict of interest statement

Source of support: Nil Conflict of interest: Dr. Andrew Tirsi and Dr. Celso Tello are consultants for Diopsys, Inc. Peter Derr is an employee at Diopsys, Inc.

Figures

Figs 1A to C
Figs 1A to C
Relationships between pattern electroretinogram parameters and average retinal nerve fiber layer (avRNFL) thickness after adjusting for age, sex, intraocular pressure, central corneal thickness, and spherical equivalent. (A) Magnitude (R2 = 0.547); (B) MagnitudeD (R2 = 0.644); (C) MagnitudeD/Magnitude ratio (R2 = 0.507)
Figs 2A to C
Figs 2A to C
Relationships between pattern electroretinogram parameters and average ganglion cell layer inner plexiform layer (avGCL-IPL) thickness after adjusting for age, sex, intraocular pressure, central corneal thickness, and spherical equivalent. (A) Magnitude (R2 = 0.439); (B) MagnitudeD (R2 = 0.582); (C) MagnitudeD/Magnitude ratio (R2 = 0.617)
See this image and copyright information in PMC

References

    1. Fry LE, Fahy E, Chrysostomou V, et al. The coma in glaucoma: Retinal ganglion cell dysfunction and recovery. Prog Retin Eye Res. 2018;65:77–92. doi: 10.1016/j.preteyeres.2018.04.001. - DOI - PubMed
    1. Zivkovic M, Dayanir V, Zlatanovic M, et al. Ganglion cell-inner plexiform layer thickness in different glaucoma stages measured by optical coherence tomography. Ophthalmic Res. 2018;59(3):148–154. doi: 10.1159/000478052. - DOI - PubMed
    1. Park K, Kim J, Lee J. Measurement of macular structure-function relationships using spectral domain-optical coherence tomography (SD-OCT) and pattern electroretinograms (PERG). PLoS One. 2017;12(5):e0178004. doi: 10.1371/journal.pone.0178004. - DOI - PMC - PubMed
    1. Ventura LM, Sorokac N, De Los Santos R, et al. The relationship between retinal ganglion cell function and retinal nerve fiber thickness in early glaucoma. Invest Ophthalmol Vis Sci. 2006;47(9):3904–3911. doi: 10.1167/iovs.06-0161. - DOI - PMC - PubMed
    1. Tielsch JM, Katz J, Singh K, et al. A Population-based evaluation of glaucoma screening: the Baltimore eye survey. Am J Epidemiol. 1991;134(10):1102–1110. doi: 10.1093/oxfordjournals.aje.a116013. - DOI - PubMed

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