Advertisement

Associations of macular thickness in spectral-domain OCT with ocular and systemic cardiovascular parameters - The MIPH Eye & Health Study

  • Alexander Karl-Georg Schuster
  • Joachim Ernst Fischer
  • Urs VossmerbaeumerEmail author
Medical Ophthalmology

Abstract

Purpose

Beyond in-vivo histological analysis of retinal tissue, optical coherence tomography (OCT) allows quantitative image analysis. This study evaluates associations of macular retinal thickness measured with spectral-domain OCT (SD-OCT) and ocular and systemic cardiovascular parameters in adult subjects.

Methods

An epidemiological cross-sectional study was performed in the staff of a European high-tech company. Examination of known cardiovascular risk factors including biochemical blood analysis was performed, and ocular parameters such as refraction, tonometry, SD-OCT imaging of the macula and cornea, and fundus photography were evaluated. Retinal thickness measurements were evaluated according to the ETDRS grid. Associations of macular retinal thickness and systemic cardiovascular and ocular parameters were calculated by multivariate analysis using SPSS software.

Results

Four hundred and twenty-four probands were included. Macular thickness measurement were significantly associated with gender and refraction. Female persons had thinner retinal thickness in all zones. Macular thickness decreased with increasing myopia in all perifoveal measurements. Outer perifoveal measurements were associated with keratometry; a flatter corneal radius was linked to a thinner retina. Tonometry and systemic cardiovascular risk factors were not associated with macular retinal thickness in multivariate analysis (p > 0.05).

Conclusions

Macular retinal thickness is associated with refraction and gender; cardiovascular risk factors or tonometry do not influence macular retinal thickness measurements. Keratometry might influence outer zone measurements. Our findings provide a dataset for quantitative evaluation of SD-OCT, and evaluate influencing factors.

Keywords

Spectral-domain OCT Refraction Keratometry Cardiovascular parameter Macular thickness 

Notes

Disclosures

Conflict of interest

None of the authors has a conflict of interest with the submission.

Financial support

No financial support was received for this submission.

Informed consent

The study was performed with informed consent and following all the guidelines required by the Ethics Committee of Heidelberg University.

References

  1. 1.
    Huang D, Swanson EA, Lin CP, Schuman JS, Stinson WG, Chang W, Hee MR, Flotte T, Gregory K, Puliafito CA et al (1991) Optical coherence tomography. Science 254:1178–1181PubMedCrossRefGoogle Scholar
  2. 2.
    Hee MR, Izatt JA, Swanson EA, Huang D, Schuman JS, Lin CP, Puliafito CA, Fujimoto JG (1995) Optical coherence tomography of the human retina. Arch Ophthalmol 113:325–332PubMedCrossRefGoogle Scholar
  3. 3.
    Bernardes R, Lobo C, Cunha-Vaz JG (2002) Multimodal macula mapping: a new approach to study diseases of the macula. Surv Ophthalmol 47:580–589PubMedCrossRefGoogle Scholar
  4. 4.
    Loduca AL, Zhang C, Zelkha R, Shahidi M (2010) Thickness mapping of retinal layers by spectral-domain optical coherence tomography. Am J Ophthalmol 150:849–855PubMedCentralPubMedCrossRefGoogle Scholar
  5. 5.
    Duan XR, Liang YB, Friedman DS, Sun LP, Wong TY, Tao QS, Bao L, Wang NL, Wang JJ (2010) Normal macular thickness measurements using optical coherence tomography in healthy eyes of adult Chinese persons: the Handan Eye Study. Ophthalmology 117:1585–1594PubMedCrossRefGoogle Scholar
  6. 6.
    Song WK, Lee SC, Lee ES, Kim CY, Kim SS (2010) Macular thickness variations with sex, age, and axial length in healthy subjects: a spectral-domain optical coherence tomography study. Invest Ophthalmol Vis Sci 51:3913–3918PubMedCrossRefGoogle Scholar
  7. 7.
    Curtin BJ, Karlin DB (1971) Axial length measurements and fundus changes of the myopic eye. Am J Ophthalmol 71:42–53PubMedCrossRefGoogle Scholar
  8. 8.
    Yanoff M, Fine BS (1989) Ocular pathology: a text and atlas. JB Lippincott, PhiladelphiaGoogle Scholar
  9. 9.
    Grover S, Murthy RK, Brar VS, Chalam KV (2010) Comparison of retinal thickness in normal eyes using Stratus and Spectralis optical coherence tomography. Invest Ophthalmol Vis Sci 51:2644–2647PubMedCrossRefGoogle Scholar
  10. 10.
    Hagen S, Krebs I, Haas P, Glittenberg C, Falkner-Radler CI, Graf A, Ansari-Shahrezaei S, Binder S (2011) Reproducibility and comparison of retinal thickness and volume measurements in normal eyes determined with two different Cirrus OCT scanning protocols. Retina 31:41–47PubMedCrossRefGoogle Scholar
  11. 11.
    Tewari HK, Wagh VB, Sony P, Venkatesh P, Singh R (2004) Macular thickness evaluation using the optical coherence tomography in normal Indian eyes. Indian J Ophthalmol 52:199–204PubMedGoogle Scholar
  12. 12.
    Cheng SC, Lam CS, Yap MK (2010) Retinal thickness in myopic and non-myopic eyes. Ophthalmic Physiol Opt 30:776–784PubMedCrossRefGoogle Scholar
  13. 13.
    Lim MC, Hoh ST, Foster PJ, Lim TH, Chew SJ, Seah SK, Aung T (2005) Use of optical coherence tomography to assess variations in macular retinal thickness in myopia. Invest Ophthalmol Vis Sci 46:974–978PubMedCrossRefGoogle Scholar
  14. 14.
    Xie R, Zhou XT, Lu F, Chen M, Xue A, Chen S, Qu J (2009) Correlation between myopia and major biometric parameters of the eye: a retrospective clinical study. Optom Vis Sci 86:E503–E508PubMedCrossRefGoogle Scholar
  15. 15.
    Wu PC, Chen YJ, Chen CH, Chen YH, Shin SJ, Yang HJ, Kuo HK (2008) Assessment of macular retinal thickness and volume in normal eyes and highly myopic eyes with third-generation optical coherence tomography. Eye (Lond) 22:551–555CrossRefGoogle Scholar
  16. 16.
    Gupta P, Sidhartha E, Tham YC, Chua DK, Liao J, Cheng CY, Aung T, Wong TY, Cheung CY (2013) Determinants of macular thickness using spectral domain optical coherence tomography in healthy eyes: the Singapore Chinese Eye study. Invest Ophthalmol Vis Sci 54:7968–7976PubMedCrossRefGoogle Scholar
  17. 17.
    Adhi M, Aziz S, Muhammad K, Adhi MI (2012) Macular thickness by age and gender in healthy eyes using spectral domain optical coherence tomography. PLoS One 7:e37638PubMedCentralPubMedCrossRefGoogle Scholar
  18. 18.
    Rao HL, Kumar AU, Babu JG, Kumar A, Senthil S, Garudadri CS (2011) Predictors of normal optic nerve head, retinal nerve fiber layer, and macular parameters measured by spectral domain optical coherence tomography. Invest Ophthalmol Vis Sci 52:1103–1110PubMedCrossRefGoogle Scholar
  19. 19.
    Tan BB, Natividad M, Chua KC, Yip LW (2012) Comparison of retinal nerve fiber layer measurement between 2 spectral domain OCT instruments. J Glaucoma 21:266–273PubMedCrossRefGoogle Scholar
  20. 20.
    Pierro L, Gagliardi M, Iuliano L, Ambrosi A, Bandello F (2012) Retinal nerve fiber layer thickness reproducibility using seven different OCT instruments. Invest Ophthalmol Vis Sci 53:5912–5920PubMedCrossRefGoogle Scholar
  21. 21.
    Liu X, Shen M, Huang S, Leng L, Zhu D, Lu F (2014) Repeatability and reproducibility of eight macular intra-retinal layer thicknesses determined by an automated segmentation algorithm using two SD-OCT instruments. PLoS One 9:e87996PubMedCentralPubMedCrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Alexander Karl-Georg Schuster
    • 1
  • Joachim Ernst Fischer
    • 1
  • Urs Vossmerbaeumer
    • 1
    • 2
    Email author
  1. 1.Mannheim Institute of Public Health (MIPH), Social and Preventive MedicineMedical Faculty Mannheim, Heidelberg UniversityMannheimGermany
  2. 2.Department of OphthalmologyMainz University HospitalsMainzGermany

Personalised recommendations