Topography and correlation of radial peripapillary capillary density network with retinal nerve fibre layer thickness

Abstract

Purpose

To analyse the expansion of radial peripapillary capillary (RPC) network with optical coherence tomography angiography (OCT-A) in normal human eyes and correlate RPC density with retinal nerve fibre layer thickness (RNFLT) at various distances from the optic nerve head (ONH) edge.

Methods

Fifty eyes of 50 healthy subjects underwent imaging with RTVue XR-100 Avanti OCT. OCT-A scans of Angio disc (6 × 6 mm) and Angio retina (8 × 8 mm) were combined to create a wide-field montage image of the RPC network. RPC density and RNFLT was calculated at different circle diameter around the ONH, and their correlation was measured.

Results

In the arcuate region, RPC was detected as far as 8.5 mm from the ONH edge, but not around the perifoveal area within 0.025 ± 0.01 mm2. The mean RPC density (0.1556 ± 0.015) and RNFLT (245.96 ± 5.79) were highest at 1.5 mm from ONH margin, and there was a trend in its decline, in a distance-dependent manner, with the least density at 8.5 mm (all P < 0.0001). Highest RPC density was noted in the arcuate fibre region at all the distances. Overall mean RPC density correlated significantly (P < 0.0001) with the overall mean RNFLT.

Conclusions

Wide-field montage OCT-A angiograms can visualize expansion of the RPC network, which is useful in obtaining information about various retinal disorders. The results obtained support the hypothesis that the RPC network could be responsible for RNFL nourishment.

This is a preview of subscription content, log in to check access.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

References

  1. 1.

    Henkind P (1967) Radial peripapillary capillaries of the retina I. Anatomy: human and comparative. Br J Ophthalmol 51:115–123

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  2. 2.

    Chan G, Balaratnasingam C, Xu J, Mammo Z, Han S, Mackenzie P et al (2015) In vivo optical imaging of human retinal capillary networks using speckle variance optical coherence tomography with quantitative clinico-histological correlation. Microvasc Res 100:32–39

    Article  PubMed  Google Scholar 

  3. 3.

    Toussaint D, Kuwabara T, Cogan DG (1961) Retinal vascular patterns. II. Human retinal vessels studied in three dimensions. Arch Ophthalmol 65:575–581

    Article  PubMed  CAS  Google Scholar 

  4. 4.

    Scoles D, Gray DC, Hunter JJ, Wolfe R, Gee BP, Geng Y et al (2009) In-vivo imaging of retinal nerve fiber layer vasculature: imaging histology comparison. BMC Ophthalmol 9:9

    Article  PubMed  PubMed Central  Google Scholar 

  5. 5.

    Spaide RF, Klancnik JM Jr, Cooney MJ (2015) Retinal vascular layersimaged by fluorescein angiography and optical coherencetomography angiography. JAMA Ophthalmol 133:45–50

    Article  PubMed  Google Scholar 

  6. 6.

    Yu PK, Balaratnasingam C, Xu J, Morgan WH, Mammo Z, Han S et al (2015) Label-free density measurements of radial peripapillary capillaries in the human retina. PLoS ONE 10:e0135151

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  7. 7.

    Yu PK, Cringle SJ, Yu DY (2014) Correlation between the radial peripapillary capillaries and the retinal nerve fibre layer in the normal human retina. Exp Eye Res 129:83–92

    Article  PubMed  CAS  Google Scholar 

  8. 8.

    Mase T, Ishibazawa A, Nagaoka T, Yokota H, Yoshida A (2016) Radial peripapillary capillary network visualized using wide-field montage optical coherence tomography angiography. Invest Ophthalmol Vis Sci 57:504–510

    Article  Google Scholar 

  9. 9.

    Mansoori T, Sivaswamy J, Gamalapati JS, Agraharam SG, Balakrishna N (2017) Measurement of radial peripapillary capillary density in the normal human retina using optical coherence tomography angiography. J Glaucoma 26:241–246

    Article  PubMed  Google Scholar 

  10. 10.

    Kraus MF, Potsaid B, Mayer MA, Bock R, Baumann B, Liu JJ et al (2012) Motion correction in optical coherence tomography volumes on a per A-scan basis using orthogonal scan patterns. Biomed Opt Express 3:1182–1199

    Article  PubMed  PubMed Central  Google Scholar 

  11. 11.

    Jia Y, Tan O, Tokayer J, Potsaid B, Wang Y, Liu JJ et al (2012) Split-spectrum amplitude decorrelation angiography with optical coherence tomography. Opt Express 20:4710–4725

    Article  PubMed  PubMed Central  Google Scholar 

  12. 12.

    Chen J, Smith R, Tian J, Laine AF (2008) A novel registration method for retinal images based on local features. Conf Proc IEEE Eng Med Biol Soc. 2008:2242–2245

    PubMed  PubMed Central  Google Scholar 

  13. 13.

    Frangi AF, Niessen WJ, Vincken KL, Viergever MA (1998) Multiscale vessel enhancement filtering. Lecture Notes in Computer Science, vol 1496, pp 130–137

  14. 14.

    De Carlo TE, Salz DA, Waheed NK, Baumal CR, Duker JS, Witkin AJ (2015) Visualization of the retinal vasculature using wide field montage optical coherence tomography angiography. Ophthalmic Surg Lasers Imaging Retina 46:611–616

    PubMed  Article  Google Scholar 

  15. 15.

    Alterman M, Henkind P (1968) Radial peripapillary capillaries of the retina II. Possible role in Bjerrum scotoma. Br J Ophthalmol 52:26–31

    Article  PubMed  PubMed Central  CAS  Google Scholar 

Download references

Author information

Affiliations

Authors

Corresponding author

Correspondence to Tarannum Mansoori.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Rights and permissions

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Mansoori, T., Sivaswamy, J., Gamalapati, J.S. et al. Topography and correlation of radial peripapillary capillary density network with retinal nerve fibre layer thickness. Int Ophthalmol 38, 967–974 (2018). https://doi.org/10.1007/s10792-017-0544-0

Download citation

Keywords

  • Radial peripapillary capillary
  • Retinal nerve fibre layer thickness
  • Optical coherence tomography angiography
  • Montage image