Skip to main content

Advertisement

Log in

Determining vertical fusion values from digital photographs of healthy eyes

  • Original Paper
  • Published:
International Ophthalmology Aims and scope Submit manuscript

Abstract

Purpose

To determine the mean difference of vertical corneal light reflex (VCLR) among healthy eyes via digital photography.

Study Design

Retrospective study.

Methods

The study enrolled 155, healthy eyes participants, 71 males and 84 females with a mean age of 14.7 years (range 12–19 years). The participants received complete eye examinations and 2 digital photographs were taken, with the flash on, while participants fixated their eyes on a near and a distant target. Two hundred and eighty qualified photographs were analyzed by Photo-Hirschberg testing using computer software. The vertical corneal light reflex ratio (VCLRR) was calculated as the distance of the corneal light reflex (CLR) to the inferior limbus or to the pupillary border divided by the horizontal corneal diameter, defined as VCLRR1 or VCLRR2. VCLRR was analyzed using Spearman’s correlation.

Results

The mean ± SD of horizontal corneal diameter in near and distance photographs was 11.47 ± 0.62 and 11.37 ± 0.58 mm, respectively. For correlation analysis, at 1 m fixation and 6 m fixation, the number of participants within an acceptable range of vertical fusion were 94.6% and 100% of participants. The 95th percentiles (estimated as the mean ± 1.64SD) in VCLRR1 between the two eyes at near and at distance fixation were 0.0316 and 0.0272, respectively; whereas the corresponding values for VCLRR2 were 0.0309 and 0.0240, respectively.

Conclusions

The normal range of the vertical corneal light reflex ratio suggests that the Photo-Hirschberg test could be used for screening vertical strabismus cases depending on iris pigment.

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
Fig. 5

Similar content being viewed by others

References

  1. Tengtrisorn S, Sangsupawanitch P, Chansawang W (2009) Cost effectiveness analysis of a visual screening program for primary school children in Thailand. J Med Assoc Thai 92:1050–1056

    PubMed  Google Scholar 

  2. Raab EL (2010) Basic and clinical science course 2010–2011. Section 6: Pediatric ophthalmology and strabismus. American Academy of Opthalmology, San Francisco, pp 74–80

    Google Scholar 

  3. Brodie SE (1987) Photographic calibration of the Hirschberg test. Invest Ophthalmol Vis Sci 28:736–742

    CAS  PubMed  Google Scholar 

  4. DeRespinis PA, Naidu E, Brodie SE (1989) Calibration of Hirschberg test photographs under clinical conditions. Ophthalmology 96:944–949

    Article  CAS  PubMed  Google Scholar 

  5. Miller JM, Mellinger M, Greivenkemp J et al (1993) Simons K. Videographic Hirschberg measurement of simulated strabismic deviations. Invest Ophthalmol Vis Sci 34:3220–3229

    CAS  PubMed  Google Scholar 

  6. Riddell PM, Mainline L, Abramov I (1994) Calibration of the Hirschberg test in human infants. Invest Ophthalmol Vis Sci 35:538–543

    CAS  PubMed  Google Scholar 

  7. Larson SA, Keech RV, Verdick RE (2003) The threshold for the detection of strabismus. J AAPOS 8:418–422

    Article  Google Scholar 

  8. Weissberg E, Suckow M, Thorn F (2004) Minimal angle horizontal strabismus detectable by lay observers. Optom Vis Sci 81:505–509

    Article  PubMed  Google Scholar 

  9. Romano PE (2006) Individual case photogrammetric calibration of the Hirschberg Ratio (HR) for corneal light reflection test strabometry. Binocul Vis Strabismus Q 21:45–46

    PubMed  Google Scholar 

  10. de Almeida J, Silva A, Paiva A et al (2012) Computational methodology for automatic detection of strabismus in digital images through Hirschberg test. Comput Biol Med 42:135–146

    Article  PubMed  Google Scholar 

  11. de Almeida J, Silva A, Paiva A et al (2015) Computer-aided methodology for syndromic strabismus diagnosis. J Digit Imaging 28:462–473

    Article  Google Scholar 

  12. Tengtrisorn S (2012) The normal range of central corneal light reflex ratio in Thai children. J Med Assoc Thai 95:418–422

    PubMed  Google Scholar 

  13. Duangsang S, Tengtrisorn S (2012) The central corneal light reflex ratio from photographs derived from a digital camera in young adults. J Med Assoc Thai 95:699–703

    PubMed  Google Scholar 

  14. Lam BL, Thompson HS, Corbett JJ (1987) The prevalence of simple anisocoria. Am J Ophthalmol 104(1):69–73

    Article  CAS  PubMed  Google Scholar 

  15. Lam BL, Thompson HS, Walls RC (1996) Effect of light on the prevalence of simple anisocoria. Ophthalmology 103:790–793

    Article  CAS  PubMed  Google Scholar 

  16. George AS, Abraham AP, Nair S et al (2019) The prevalence of physiological Anisocoria and its clinical significance - a neurosurgical perspective. Neurol India 67(6):1500–1503

    Article  PubMed  Google Scholar 

  17. Tananuvat N, Pansatiankul N (2005) Assessment of the anterior structures of eyes in a normal Northern Thai group using the Orbscan II. J Med Assoc Thai 88(Suppl 9):S105–S113

    PubMed  Google Scholar 

  18. Sharma K, Abdul-Rahim AS (1992) Vertical fusion amplitude in normal adults. Am J Ophthalmol 114(5):636–637. https://doi.org/10.1016/s0002-9394(14)74499-x

    Article  CAS  PubMed  Google Scholar 

  19. Wright KW (2003) Binocular vision and introduction to strabismus. In: Wright KW, Spiegel PH (eds) Pediatric ophthalmology and strabismus, 2nd edn. Springer, USA, pp 144–156

    Chapter  Google Scholar 

  20. Tengtrisorn S, Tangkijwongpaisarn S, Burachokvivat S (2015) The Calibration of the corneal light reflex to estimate the degree of an angle of deviation. J Med Assoc Thai 98(12):1193–1198

    PubMed  Google Scholar 

  21. Yokkumpol P, Jenchitr W (2019) Incidence and progression of myopia in secondary school students. JCST 9(2):99–105

    Google Scholar 

  22. Krimky E (1948) The management of ocular imbalance. Lea & Febiger, Philadephia, p 23

    Google Scholar 

  23. Barry JC, Backes A (1997) Limbus versus pupil center for ocular alignment measurement with corneal reflexes. Invest Ophthalmol Vis Sci 38:2597–2607

    CAS  PubMed  Google Scholar 

  24. Ivanir Y, Trobe JD (2017) Comparing hypertropia in upgaze and downgaze distinguishes congenital from acquired fourth nerve palsies. J Neuroophthalmol 37(4):365–368

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

We would like to thank many individuals; including, Dr. Alan Geater for his suggestions and Ms. Somporn Bhurachokwiwat, Ms. Srirabay Chouyjan and Ms. Parichat Damthongsuk for their assistance in data collection and statistical analysis. Additionally, we want to thank Mr. Geoffrey Cox and Mr. Athanasios Maniatis, from our International Affairs department, for assistance in proofreading this paper.

Funding

No funding was received for this research.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Supaporn Tengtrisorn.

Ethics declarations

Conflict of interest

The authors have not disclosed any competing interests.

Ethical standard

All procedures performed in this study, which involved human participants, were in accordance with the ethical standards of the Ethics Committee of the Faculty of Medicine, Prince of Songkla University. REC number: 58–307-02–3, Thai legislation and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. This study is retrospective and the Ethics Committee of the Faculty of Medicine, Prince of Songkla University, REC number: 58–307-02–3; waived informed consent requirements. Nevertheless, the participants have given informed consent in connection to the original procedures that were undertaken, but no informed consent is in place in regard to sharing any personally identifying data such as photographs of their faces.

Human and animal participants

All authors certify that they have no affiliations with or involvement in any organization or entity with any financial interest (such as honoraria; educational grants; participation in speakers’ bureaus; membership, employment, consultancies, stock ownership, or other equity interest; and expert testimony or patent-licensing arrangements), or non-financial interest (such as personal or professional relationships, affiliations, knowledge or beliefs) in the subject matter or materials discussed in this manuscript.

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

Tengtrisorn, S., Montriwet, M. & Sertsom, K. Determining vertical fusion values from digital photographs of healthy eyes. Int Ophthalmol 42, 3849–3856 (2022). https://doi.org/10.1007/s10792-022-02405-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10792-022-02405-3

Keywords

Navigation