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The central retina vessel density and foveal avascular zone values of 792 healthy adults using optical coherence tomography angiography

Abstract

Background/objectives

To determine normal macular vessel density (VD) and foveal avascular zone (FAZ) values using optical coherence tomography angiography (OCTA) analysis in healthy adults.

Subjects/methods

As part of the Prospective Epidemiological Research Studies in Iran (PERSIAN) Organizational Cohort study at Mashhad University of Medical Sciences (POCM), we conducted a cross-sectional study using 3 × 3 and 6 × 6 mm OCTA scans to evaluate the VD of the macular superficial capillary plexus (SCP), deep capillary plexus (DCP), and the FAZ area in healthy adults.

Results

The study included 792 participants, with a mean age of 39.8 ± 6.8 years. There were 359 males with a mean age of 39.9 ± 7.8 years and 440 females with a mean age of 39.4 ± 6 years. The mean values of various parameters were measured, including the right eye whole image SCP and DCP VDs, FAZ area, FAZ perimeter, and fovea VD in a 300 µm wide zone around FAZ (FD). These values were found to be 45.9 ± 2.6%, 50.2 ± 3%, 0.3 ± 0.1mm2, 2.1 ± 0.4 mm, and 50.4 ± 3.3%, respectively. Females and younger participants had significantly higher mean values of whole image SCP and DCP VDs. Additionally, all FAZ parameters had significantly higher values in females, while younger participants had significantly higher mean FD values. Simple linear regression analyses showed that age was negatively correlated with right eye SCP and DCP VDs.

Conclusion

Our study established standard SCP and DCP VD values influenced by age and gender. Age correlates negatively with both, DCP VDs correlate negatively with height and weight, and SCP VDs correlate positively with diastolic blood pressure.

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Fig. 1: Example of OCTA image segmentation pattern and macula subfields.

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Data availability

The datasets used during the current study are available from the corresponding author on reasonable request.

References

  1. Curcio CA, Kar D, Owsley C, Sloan KR, Ach T. Age-related macular degeneration, a mathematically tractable disease. Investig Ophthalmol Vis Sci 2024;65:4.

    Article  CAS  Google Scholar 

  2. Provis JM, Penfold PL, Cornish EE, Sandercoe TM, Madigan MC. Anatomy and development of the macula: specialisation and the vulnerability to macular degeneration. Clin Exp Optom 2005;88:269–81.

    Article  PubMed  Google Scholar 

  3. Cholkar K, Dasari SR, Pal D, Mitra AK. Eye: anatomy, physiology and barriers to drug delivery. Ocular transporters and receptors: Elsevier; 2013. p. 1–36.

  4. Kashani AH, Chen C-L, Gahm JK, Zheng F, Richter GM, Rosenfeld PJ, et al. Optical coherence tomography angiography: a comprehensive review of current methods and clinical applications. Prog Retinal Eye Res 2017;60:66–100.

    Article  Google Scholar 

  5. Matsunaga D, Yi J, Puliafito CA, Kashani AH. OCT angiography in healthy human subjects. Ophthalmic Surg Lasers Imaging Retin 2014;45:510–5.

    Article  Google Scholar 

  6. You QS, Freeman WR, Weinreb RN, Zangwill L, Manalastas PIC, Saunders LJ, et al. Reproducibility of vessel density measurement with optical coherence tomography angiography in eyes with and without retinopathy. Retin 2017;37:1475.

    Article  Google Scholar 

  7. Penteado RC, Zangwill LM, Daga FB, Saunders LJ, Manalastas PIC, Shoji T, et al. Optical coherence tomography angiography macular vascular density measurements and the central 10-2 visual field in glaucoma. J Glaucoma 2018;27:481.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Zhang YS, Zhou N, Knoll BM, Samra S, Ward MR, Weintraub S, et al. Parafoveal vessel loss and correlation between peripapillary vessel density and cognitive performance in amnestic mild cognitive impairment and early Alzheimer’s Disease on optical coherence tomography angiography. PLoS ONE 2019;14:e0214685.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  9. Köse HC, Tekeli O. Optical coherence tomography angiography of the peripapillary region and macula in normal, primary open angle glaucoma, pseudoexfoliation glaucoma and ocular hypertension eyes. Int J Ophthalmol 2020;13:744.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Hou H, Moghimi S, Zangwill LM, Shoji T, Ghahari E, Manalastas PIC, et al. Inter-eye asymmetry of optical coherence tomography angiography vessel density in bilateral glaucoma, glaucoma suspect, and healthy eyes. Am J Ophthalmol 2018;190:69–77.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Li X, Yu Y, Liu X, Shi Y, Jin X, Zhang Y, et al. Quantitative analysis of retinal vessel density and thickness changes in diabetes mellitus evaluated using optical coherence tomography angiography: a cross-sectional study. BMC Ophthalmol 2021;21:1–12.

    Article  Google Scholar 

  12. Lee K, Maeng KJ, Kim JY, Yang H, Choi W, Lee SY, et al. Diagnostic ability of vessel density measured by spectral-domain optical coherence tomography angiography for glaucoma in patients with high myopia. Sci Rep. 2020;10:1–10.

    Google Scholar 

  13. Shoji T, Yoshikawa Y, Kanno J, Ishii H, Ibuki H, Ozaki K, et al. Reproducibility of macular vessel density calculations via imaging with two different swept-source optical coherence tomography angiography systems. Transl Vis Sci Technol 2018;7:31.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Park MM, Young BK, Shen LL, Adelman RA, Del Priore LV. Topographic variation of retinal vascular density in normal eyes using optical coherence tomography angiography. Transl Vis Sci Technol 2021;10:15.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Pappelis K, Jansonius NM. Quantification and repeatability of vessel density and flux as assessed by optical coherence tomography angiography. Transl Vis Sci Technol 2019;8:3.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Rabiolo A, Gelormini F, Sacconi R, Cicinelli MV, Triolo G, Bettin P, et al. Comparison of methods to quantify macular and peripapillary vessel density in optical coherence tomography angiography. PLoS ONE 2018;13:e0205773.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Falavarjani KG, Shenazandi H, Naseri D, Anvari P, Kazemi P, Aghamohammadi F, et al. Foveal avascular zone and vessel density in healthy subjects: an optical coherence tomography angiography study. J Ophthalmic Vis Res 2018;13:260.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Sato R, Kunikata H, Asano T, Aizawa N, Kiyota N, Shiga Y, et al. Quantitative analysis of the macula with optical coherence tomography angiography in normal Japanese subjects: The Taiwa Study. Sci Rep. 2019;9:1–11.

    Article  Google Scholar 

  19. Lavia C, Bonnin S, Maule M, Erginay A, Tadayoni R, Gaudric A. Vessel density of superficial, intermediate, and deep capillary plexuses using optical coherence tomography angiography. Retin 2019;39:247.

    Article  Google Scholar 

  20. Kuehlewein L, Tepelus TC, An L, Durbin MK, Srinivas S, Sadda SR. Noninvasive visualization and analysis of the human parafoveal capillary network using swept source OCT optical microangiography. Investig Ophthalmol Vis Sci 2015;56:3984–8.

    Article  CAS  Google Scholar 

  21. Coscas F, Sellam A, Glacet-Bernard A, Jung C, Goudot M, Miere A, et al. Normative data for vascular density in superficial and deep capillary plexuses of healthy adults assessed by optical coherence tomography angiography. Investig Ophthalmol Vis Sci 2016;57:OCT211–OCT23.

    Article  Google Scholar 

  22. Shahlaee A, Samara WA, Hsu J, Say EAT, Khan MA, Sridhar J, et al. In vivo assessment of macular vascular density in healthy human eyes using optical coherence tomography angiography. Am J Ophthalmol 2016;165:39–46.

    Article  PubMed  Google Scholar 

  23. Shahlaee A, Pefkianaki M, Hsu J, Ho AC. Measurement of foveal avascular zone dimensions and its reliability in healthy eyes using optical coherence tomography angiography. Am J Ophthalmol 2016;161:50–5. e1

    Article  PubMed  Google Scholar 

  24. Eastline M, Munk MR, Wolf S, Schaal KB, Ebneter A, Tian M, et al. Repeatability of wide-field optical coherence tomography angiography in normal retina. Transl Vis Sci Technol 2019;8:6.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Samara WA, Say EA, Khoo CT, Higgins TP, Magrath G, Ferenczy S, et al. Correlation of foveal avascular zone size with foveal morphology in normal eyes using optical coherence tomography angiography. Retina 2015;35:2188–95.

    Article  PubMed  Google Scholar 

  26. Shiihara H, Terasaki H, Sonoda S, Kakiuchi N, Shinohara Y, Tomita M, et al. Objective evaluation of size and shape of superficial foveal avascular zone in normal subjects by optical coherence tomography angiography. Sci Rep. 2018;8:1–9.

    Article  CAS  Google Scholar 

  27. Eldaly Z, Soliman W, Sharaf M, Reyad AN. Morphological characteristics of normal foveal avascular zone by optical coherence tomography angiography. J Ophthalmol. 2020;2020.

  28. Ghassemi F, Mirshahi R, Bazvand F, Fadakar K, Faghihi H, Sabour S. The quantitative measurements of foveal avascular zone using optical coherence tomography angiography in normal volunteers. J Curr Ophthalmol 2017;29:293–9.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Tohidinezhad F, Khorsand A, Zakavi SR, Rezvani R, Zarei-Ghanavati S, Abrishami M, et al. The burden and predisposing factors of non-communicable diseases in Mashhad University of Medical Sciences personnel: a prospective 15-year organizational cohort study protocol and baseline assessment. BMC Public Health 2020;20:1–15.

    Article  Google Scholar 

  30. Armstrong RA. Statistical guidelines for the analysis of data obtained from one or both eyes. Ophthalmic Physiol Opt 2013;33:7–14.

    Article  PubMed  Google Scholar 

  31. Linderman RE, Muthiah MN, Omoba SB, Litts KM, Tarima S, Visotcky A, et al. Variability of foveal avascular zone metrics derived from optical coherence tomography angiography images. Transl Vis Sci Technol 2018;7:20.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Guemes-Villahoz N, Burgos-Blasco B, Perez-Garcia P, Fernández-Vigo JI, Morales-Fernandez L, Donate-Lopez J, et al. Retinal and peripapillary vessel density increase in recovered COVID-19 children by optical coherence tomography angiography. J Am Assoc Pediatr Ophthalmol Strabismus 2021;25:325. e1–e6.

    Article  Google Scholar 

  33. Wang Q, Chan S, Yang JY, You B, Wang YX, Jonas JB, et al. Vascular density in retina and choriocapillaris as measured by optical coherence tomography angiography. Am J Ophthalmol 2016;168:95–109.

    Article  PubMed  Google Scholar 

  34. Tarassoly K, Miraftabi A, Sanjari MS, Parvaresh MM. The relationship between foveal avascular zone area, vessel density, and cystoid changes in diabetic retinopathy: an optical coherence tomography angiography study. Retina 2018;38:1613–9.

    Article  PubMed  Google Scholar 

  35. Kwon J, Choi J, Shin JW, Lee J, Kook MS. An optical coherence tomography angiography study of the relationship between foveal avascular zone size and retinal vessel density. Investig Ophthalmol Vis Sci 2018;59:4143–53.

    Article  CAS  Google Scholar 

  36. Abrishami M, Emamverdian Z, Shoeibi N, Omidtabrizi A, Daneshvar R, Rezvani TS, et al. Optical coherence tomography angiography analysis of the retina in patients recovered from COVID-19: a case-control study. Can J Ophthalmol 2021;56:24–30.

    Article  PubMed  Google Scholar 

Download references

Funding

The authors would like to acknowledge the financial support of the Vice-Chancellor of Research of Mashhad University of Medical Sciences for this research project (code: 990069). The funding organization had no role in the design or conduct of this research.

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All authors contributed significantly to this report and agreed to be accountable for all aspects of the work. All authors read and approved the final manuscript.

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Correspondence to Ali Bolouki.

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This study was approved by the Committee of Ethics in Human Research at Mashhad University of Medical Sciences (Code: IR.MUMS.MEDICAL.REC.1401.229).

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The authors declare no competing interests.

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Heidarzadeh, H.R., Abrishami, M., Ebrahimi Miandehi, E. et al. The central retina vessel density and foveal avascular zone values of 792 healthy adults using optical coherence tomography angiography. Eye (2024). https://doi.org/10.1038/s41433-024-03320-w

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