Skip to main content

Advertisement

Log in

Relationship between the vessel density around the optic nerve head and visual field deterioration in eyes with retinitis pigmentosa

  • Retinal Disorders
  • Published:
Graefe's Archive for Clinical and Experimental Ophthalmology Aims and scope Submit manuscript

Abstract

Purpose

To analyze the vessel density around the optic nerve head (ONH) by optical coherence tomography angiography (OCTA) in patients with retinitis pigmentosa (RP), and to evaluate its correlation with visual functions.

Methods

Thirty-eight eyes with RP with visual field constriction within the central 10° were enrolled. The mean (± SD) age of the patients was 43.7 ± 15.1 years. In addition to visual acuity (VA) measurements and visual field tests (Humphrey Field Analyzer 10–2 test), we also measured the vessel density at the macula by OCTA (superficial and deep vessel density: sVD(m) and dVD(m)) and in multiple layers around the ONH (vessel density in the radial peripapillary capillary [RPC] layer and in the nerve head [NH] layer: VDrpc and VDnh). The vessel density was calculated by binarizing the OCTA images. The associations between the logMAR VA and mean deviation (MD) values and the variables of central retinal thickness (CRT), sVD(m), dVD(m), VDrpc, VDnh, and also the size of the foveal avascular zone were investigated.

Results

The mean logMAR VA was 0.16 ± 0.34 and the MD value was − 17.2 ± 10.3 dB; the MD value was significantly related to the logMAR VA (p = 0.0028). Multivariate analysis with AICc model selection suggested only dVD(m) was associated with logMAR VA. On the other hand, the optimal model for the MD value included the CRT, dVD(m), and VDnh.

Conclusion

The vessel density in the deep layer around the ONH was significantly associated with the visual field deterioration in patients with RP.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  1. Chizzolini M, Galan A, Milan E, Sebastiani A, Costagliola C, Parmeggiani F (2011) Good epidemiologic practice in retinitis pigmentosa: from phenotyping to biobanking. Curr Genomics 12:260–266

    Article  CAS  Google Scholar 

  2. Shintani K, Shechtman DL, Gurwood AS (2009) Review and update: current treatment trends for patients with retinitis pigmentosa. Optometry 80:384–401

    Article  Google Scholar 

  3. Krill AE, Archer D, Newell FW (1970) Fluorescein angiography in retinitis pigmentosa. Am J Ophthalmol 69:826–835

    Article  CAS  Google Scholar 

  4. Zhang Y, Harrison JM, Nateras OS, Chalfin S, Duong TQ (2013) Decreased retinal-choroidal blood flow in retinitis pigmentosa as measured by MRI. Doc Ophthalmol 126:187–197

    Article  Google Scholar 

  5. Grunwald JE, Maguire AM, Dupont J (1996) Retinal hemodynamics in retinitis pigmentosa. Am J Ophthalmol 122:502–508

    Article  CAS  Google Scholar 

  6. Berson EL (1993) Retinitis pigmentosa. The Friedenwald Lecture. Invest Ophthalmol Vis Sci 34:1659–1676

    CAS  PubMed  Google Scholar 

  7. Hartong DT, Berson EL, Dryja TP (2006) Retinitis pigmentosa. Lancet 368:1795–1809

    Article  CAS  Google Scholar 

  8. Koyanagi Y, Murakami Y, Funatsu J, Akiyama M, Nakatake S, Fujiwara K, Tachibana T, Nakao S, Hisatomi T, Yoshida S, Ishibashi T, Sonoda KH, Ikeda Y (2018) Optical coherence tomography angiography of the macular microvasculature changes in retinitis pigmentosa. Acta Ophthalmol 96:e59–e67

    Article  Google Scholar 

  9. Sugahara M, Miyata M, Ishihara K, Gotoh N, Morooka S, Ogino K, Hasegawa T, Hirashima T, Yoshikawa M, Hata M, Muraoka Y, Ooto S, Yamashiro K, Yoshimura N (2017) Optical coherence tomography angiography to estimate retinal blood flow in eyes with retinitis pigmentosa. Sci Rep 7:46396

    Article  CAS  Google Scholar 

  10. Inooka D, Ueno S, Kominami T, Sayo A, Okado S, Ito Y, Terasaki H (2018) Quantification of macular microvascular changes in patients with retinitis pigmentosa using optical coherence tomography angiography. Invest Ophthalmol Vis Sci 59:433–438

    Article  CAS  Google Scholar 

  11. Spaide RF, Klancnik JM, Cooney MJ (2015) Retinal vascular layers imaged by fluorescein angiography and optical coherence tomography angiography. JAMA Ophthalmol 133:45–50

    Article  Google Scholar 

  12. Akagi T, Iida Y, Nakanishi H, Terada N, Morooka S, Yamada H, Hasegawa T, Yokota S, Yoshikawa M, Yoshimura N (2016) Microvascular density in glaucomatous eyes with hemifield visual field defects: an optical coherence tomography angiography study. Am J Ophthalmol 168:237–249

    Article  Google Scholar 

  13. Lévêque PM, Zéboulon P, Brasnu E, Baudouin C, Labbé A (2016) Optic disc vascularization in glaucoma: value of spectral-domain optical coherence tomography angiography. J Ophthalmol 6956717

  14. Liu L, Jia Y, Takusagawa HL, Pechauer AD, Edmunds B, Lombardi L, Davis E, Morrison JC, Huang D (2015) Optical coherence tomography angiography of the peripapillary retina in glaucoma. JAMA Ophthalmol 33:1045–1052

    Article  Google Scholar 

  15. Wang X, Jia Y, Spain R, Potsaid B, Liu JJ, Baumann B, Hornegger J, Fujimoto JG, Wu Q, Huang D (2014) Optical coherence tomography angiography of optic nerve head and parafovea in multiple sclerosis. Br J Ophthalmol 98:1368–1373

    Article  Google Scholar 

  16. Mastropasqua R, Borrelli E, Agnifili L, Toto L, Di Antonio L, Senatore A, Palmieri M, D’Uffizi A, Carpineto P (2017) Radial peripapillary capillary network in patients with retinitis pigmentosa: an optical coherence tomography angiography study. Front Neurol 8:572

    Article  Google Scholar 

  17. Tibshirani RJ, Taylor J (2012) Degrees of freedom in lasso problems. Ann Statist 40:1198–1232

    Article  Google Scholar 

  18. Mallows CL (1971) Some comments on C p. Technometrics 15:661–675

  19. Burnham KP, Anderson DR (2004) Multimodel inference: understanding AIC and BIC in model selection. Sociol Methods Res 33:261–304

    Article  Google Scholar 

  20. Yoon CK, Yu HG (2013) The structure-function relationship between macular morphology and visual function analyzed by optical coherence tomography in retinitis pigmentosa. J Ophthalmol 2013:821460

    Article  Google Scholar 

  21. Alnawaiseh M, Schubert F, Heiduschka P, Eter N (2019) Optical coherence tomography angiography in patients with retinitis pigmentosa. Retina 39:210–217

    Article  Google Scholar 

  22. Kumar RS, Anegondi N, Chandapura RS, Sudhakaran S, Kadambi SV, Rao HL, Aung T, Sinha Roy A (2016) Discriminant function of optical coherence tomography angiography to determine disease severity in glaucoma. Invest Ophthalmol Vis Sci 57:6079–6088

    Article  Google Scholar 

  23. Mammo Z, Heisler M, Balaratnasingam C, Lee S, Yu DY, Mackenzie P, Schendel S, Merkur A, Kirker A, Albiani D, Navajas E, Beg MF, Morgan W, Sarunic MV (2016) Quantitative optical coherence tomography angiography of radial peripapillary capillaries in glaucoma, glaucoma suspect, and normal eyes. Am J Ophthalmol 170:41–49

    Article  Google Scholar 

  24. Alnawaiseh M, Lahme L, Müller V, Rosentreter A, Eter N (2018) Correlation of flow density, as measured using optical coherence tomography angiography, with structural and functional parameters in glaucoma patients. Graefes Arch Clin Exp Ophthalmol 256:589–597

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Tatsuya Inoue.

Ethics declarations

Ethical approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the Research Ethics Committee of the Graduate School of Medicine and Faculty of Medicine at The University of Tokyo and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Informed consent

Informed consent was obtained from all individual participants included in the study.

Conflict of interest

The authors declare no competing interests.

Additional information

Publisher's note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Nakajima, K., Inoue, T., Maruyama-Inoue, M. et al. Relationship between the vessel density around the optic nerve head and visual field deterioration in eyes with retinitis pigmentosa. Graefes Arch Clin Exp Ophthalmol 260, 1097–1103 (2022). https://doi.org/10.1007/s00417-021-05288-9

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00417-021-05288-9

Keywords

Navigation