Normative posterior pole asymmetry analysis data in healthy Caucasian population

Abstract

Purpose:

The aim of this study is to evaluate the variability of central retinal thickness asymmetry in healthy Caucasian adults with the posterior pole asymmetry analysis to serve as a reference.

Methods:

In total, 404 eyes of 202 subjects who aged between 18 and 80 years, who had no ocular pathology, were included in this cross-sectional observational study. Retinal thickness maps with posterior pole asymmetry analysis mode were taken with the optical coherence tomography (SPECTRALIS SD-OCT; Heidelberg Engineering). Superior and inferior hemifields were divided into five zones resembling to the strategy in Glaucoma Hemifield Test. Mean retinal thickness in each of the five zones was compared with the thickness of the corresponding zone in each eye (paired-samples t-test), and differences in retinal thickness (DRT1–5) and ganglion cell layer thickness between reciprocal locations were measured. Differences in retinal thickness values of two eyes of each subject were also compared (independent-samples t-test).

Results:

The intra-eye asymmetry was statistically significant in zones 4 and 5. The highest mean intraocular differences in retinal thickness were 5.8 µm (zone 5) in all eyes, 5.8 µm (zone 5) in the right eyes, and 5.9 µm (zones 4 and 5) in the left eyes. The only statistically significant interocular local differences in retinal thickness asymmetries were found in zone 3. The intraocular asymmetry in retinal thickness was found to be the lowest in zone 1. The differences of ganglion cell layer thickness (GCLTs) were not statistically significant.

Conclusion:

There were statistically significant physiological inter-eye asymmetry in zone 3 and intra-eye asymmetries in zones 4 and 5. These measurements must be considered during screening for glaucoma with posterior pole asymmetry analysis in the Caucasian population.

Keywords

Healthy Caucasian population normative data posterior pole asymmetry analysis SPECTRALIS SD-OCT

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References

Nakatani

Higashide

Ohkubo

et al . Evaluation of macular thickness and peripapillary retinal nerve fiber layer thickness for detection of early glaucoma using spectral domain optical coherence tomography. J Glaucoma 2011; 20: 252–259.

Seong

Sung

Choi

et al . Macular and peripapillary retinal nerve fiber layer measurements by spectral domain optical coherence tomography in normal-tension glaucoma. Invest Ophthalmol Vis Sci 2010; 51: 1446–1452.

Medeiros

Zangwill

Bowd

et al . Evaluation of retinal nerve fiber layer, optic nerve head, and macular thickness measurements for glaucoma detection using optical coherence tomography. Am J Ophthalmol 2005; 139(1): 44–55.

Dong

Wollstein

Schuman

JS.

Clinical utility of optical coherence tomography in glaucoma. Invest Ophthalmol Vis Sci 2016; 57(9): 556–567.

Tan

Chopra

et al . Detection of macular ganglion cell loss in glaucoma by Fourier-domain optical coherence tomography. Ophthalmology 2009; 116: 2305–2314.

Sung

Wollstein

Kim

et al . Macular assessment using optical coherence tomography for glaucoma diagnosis. Br J Ophthalmol 2012; 96: 1452–1455.

Mwanza

Oakley

Budenz

et al . Macular ganglion cell-inner plexiform layer: automated detection and thickness reproducibility with spectral domain-optical coherence tomography in glaucoma. Invest Ophthalmol Vis Sci 2011; 52: 8323–8329.

Zeimer

Asrani

Zou

et al . Quantitative detection of glaucomatous damage at the posterior pole by retinal thickness mapping: a pilot study. Ophthalmology 1998; 105: 224–231.

Asrani

Rosdahl

Allingham

RR.

Novel software strategy for glaucoma diagnosis: asymmetry analysis of retinal thickness. Arch Ophthalmol 2011; 129(9): 1205–1211.

10.

Wolf-Schnurrbusch

Ceklic

Brinkmann

et al . Macular thickness measurements in healthy eyes using six different OCT instruments. Invest Ophthalmol Vis Sci 2009; 50(7): 3432–3437.

11.

Pierro

Giatsidis

Mantovani

et al . Macular thickness interoperator and intraoperator reproducibility in healthy eyes using 7 optical coherence tomography instruments. Am J Ophthalmol 2010; 50(2): 1991–1204.

12.

Sung

Wollstein

et al . Asymmetry in hemifield macular thickness as an early indicator of glaucomatous change. Invest Ophthalmol Vis Sci 2012; 53(3): 1139–1144.

13.

Dave

Jethani

Shah

Asymmetry of retinal nerve fiber layer and posterior pole asymmetry analysis parameters of spectral domain optical coherence tomography in children. Semin Ophthalmol 2017; 32(4): 443–448.

14.

Jacobsen

Bendtsen

Vorum

et al . Normal value ranges for central retinal thickness asymmetry in healthy Caucasian adults measured by SPECTRALIS SD-OCT posterior pole asymmetry analysis. Invest Ophthalmol Vis Sci 2015; 56(6): 3875–3882.

15.

Gürağaç

Totan

Güler

et al . Normative spectral domain optical coherence tomography data in healthy Turkish children. Semin Ophthalmol 2017; 32(2): 216–222.

16.

Faul

Erdfelder

Buchner

et al . Statistical power analyses using G*Power 3.1: tests for correlation and regression analyses. Behav Res Methods 2009; 41: 1149–1160.

17.

Altemir

Pueyo

Elía

et al . Reproducibility of optical coherence tomography measurements in children. Am J Ophthalmol 2013; 155: 171–176.

18.

Budenz

Fredette

Feuer

et al . Reproducibility of peripapillary retinal nerve fiber thickness measurements with stratus OCT in glaucomatous eyes. Ophthalmology 2008; 115: 661–666.

19.

Cubuk

Sahinoglu-Keskek

Keskek

SO.

Retinal nerve fiber layer thickness in a healthy Turkish population measured by optical coherence tomography. Ann Saudi Med 2016; 36(6): 409–413.

20.

Asman

Heijl

Glaucoma Hemifield Test: automated visual field evaluation. Arch Ophthalmol 1992; 110: 812–819.

21.

Duggan

Sommer

Auer

et al . Automated differential threshold perimetry for detecting glaucomatous visual field loss. Am J Ophthalmol 1985; 100: 420–423.

22.

Sommer

Enger

Witt

et al . Screening for glaucomatous visual field loss with automated threshold perimetry. Am J Ophthalmol 1987; 103: 681–684.

23.

Susanna

Jr Nicolela

Soriano

et al . Automated perimetry: a study of the Glaucoma Hemifield Test for the detection of early glaucomatous visual field loss. J Glaucoma 1994; 3: 12–16.

24.

Sullivan-Mee

Ruegg

Pensyl

et al . Diagnostic precision of retinal nerve fiber layer and macular thickness asymmetry parameters for identifying early primary open-angle glaucoma. Am J Ophthalmol 2013; 156: 567–577.

25.

Yamashita

Sakamoto

Kakiuchi

et al . Posterior pole asymmetry analyses of retinal thickness of upper and lower sectors and their association with peak retinal nerve fiber layer thickness in healthy young eyes. Invest Ophthalmol Vis Sci 2014; 55: 5673–5678.

26.

Quigley

Katz

Derick

et al . An evaluation of optic disc and nerve fiber layer examinations in monitoring progression of early glaucoma damage. Ophthalmology 1992; 99: 19–28.

27.

Sommer

Katz

Quigley

et al . Clinically detectable nerve fiber atrophy precedes the onset of glaucomatous field loss. Arch Ophthalmol 1991; 109: 77–83.

28.

Zeyen

Caprioli

Progression of disc and field damage in early glaucoma. Arch Ophthalmol 1993; 111: 62–65.

29.

Kim

Lee

Park

et al . Glaucoma diagnostic ability of layer-by-layer segmented ganglion cell complex by spectral-domain optical coherence tomography. Invest Ophthalmol Vis Sci 2016; 57: 4799–4805.

30.

Ctori

Huntjens

Repeatability of foveal measurements using spectralis optical coherence tomography segmentation software. PLoS One 2015; 10(6): e0129005.

31.

Menke

Dabov

Knecht

et al . Reproducibility of retinal thickness measurements in healthy subjects using spectralis optical coherence tomography. Am J Ophthalmol 2009; 147(3): 467–472.

32.

Wang

Hood

Cho

et al . Measurement of local retinal ganglion cell layer thickness in patients with glaucoma using frequency-domain optical coherence tomography. Arch Ophthalmol 2009; 127: 875–881.

33.

Kim

Kwak

Kim

et al . New profiles of posterior pole retinal thickness map in healthy Korean eyes measured by spectral-domain optical coherence tomography. Retina 2013; 33(10): 2139–2148.

34.

Duan

Liang

Friedman

et al . Normal macular thickness measurements using optical coherence tomography in healthy eyes of adult Chinese persons: the Handan Eye Study. Ophthalmology 2010; 117: 1585–1594.

35.

Song

Lee

et al . Macular thickness variations with sex, age, and axial length in healthy subjects: a spectral domain-optical coherence tomography study. Invest Ophthalmol Vis Sci 2010; 51: 3913–3918.

36.

Hee

MR.

Artifacts in optical coherence tomography topographic maps. Am J Ophthalmol 2005; 139: 154–155.

37.

Massin

Vicaut

Haouchine

et al . Reproducibility of retinal mapping using optical coherence tomography. Arch Ophthalmol 2001; 119: 1135–1142.

38.

Alkan

Kavak

Somel

et al . Whole genome sequencing of Turkish genomes reveals functional private alleles and impact of genetic interactions with Europe, Asia and Africa. BMC Genomics 2014; 15: 963.