Abstract
Purpose
This study introduces the Order of Magnitude (OM), a cost-effective, indigenous, virtual reality-based visual field analyzer designed for detecting glaucomatous visual field loss.
Methods
The OM test employs a two-step supra-thresholding algorithm utilizing stimuli of 0.43°diameter (equivalent to Goldmann size III) at low and high thresholds. A comparative analysis was conducted against the Humphrey visual field (HVF) test, considered the gold standard in clinical practice. Participants, including those with glaucoma and normal individuals, underwent comprehensive eye examinations alongside the OM and HVF tests between April and October 2019. Diagnostic sensitivity and specificity of the OM test were assessed against clinical diagnoses made by specialists.
Results
We studied 157 eyes (74 glaucomatous, 83 control) of 152 participants. Results demonstrated a high level of reliability for both OM and HVF tests, with no significant difference observed (P = 0.19, Chi-square test). The sensitivity and specificity of the OM test were found to be 93% (95% CI 86–100%) and 83% (95% CI 72.4–93%), respectively, while the HVF test showed sensitivity and specificity of 98% (95% CI 93.9–100%) and 83% (95% CI 73.9–92.8%), respectively.
Conclusion
These findings suggest that the OM test is non-inferior to the reference standard HVF test in identifying glaucomatous visual field loss.
We’re sorry, something doesn't seem to be working properly.
Please try refreshing the page. If that doesn't work, please contact support so we can address the problem.
References
Bourne RR, Taylor HR, Flaxman SR et al (2016) Number of people blind or visually impaired by glaucoma worldwide and in world regions 1990–2010: a meta-analysis. PLoS ONE 11:e0162229
Leske MC, Heijl A, Hussein M et al (2003) Factors for glaucoma progression and the effect of treatment: the early manifest glaucoma trial. Arch Ophthalmol 121:48–56
Weinreb RN, Aung T, Medeiros FA (2014) The pathophysiology and treatment of glaucoma: a review. JAMA 311:1901–1911
Grødum K, Heijl A, Bengtsson B (2002) A comparison of glaucoma patients identified through mass screening and in routine clinical practice. Acta Ophthalmol Scand 80:627–631
Burr JM, Campbell MK, Campbell SE et al (2011) Developing the clinical components of a complex intervention for a glaucoma screening trial: a mixed methods study. BMC Med Res Methodol 11:54
Broadway DC (2012) Visual field testing for glaucoma—a practical guide. Community Eye Health 25:66
De Souza N, Cui Y, Looi S et al (2012) The role of optometrists in India: an integral part of an eye health team. Indian J Ophthalmol 60:401
Heijl A, Krakau C (1975) An automatic static perimeter, design and pilot study. Acta Ophthalmol 53:293–310
Hernández RA, Burr JM, Vale LD (2008) Economic evaluation of screening for open-angle glaucoma. Int J Technol Assess Health Care 24:203–211
Daka Q, Mustafa R, Neziri B, Virgili G, Azuara-Blanco A (2022) Home-based perimetry for glaucoma: Where are we now? J Glaucoma 31:361–374
Hodapp E, Parrish RK, Anderson DR (1993) Clinical decisions in glaucoma. Mosby Incorporated
Liu X (2012) Classification accuracy and cut point selection. Stat Med 31:2676–2686
Casson RJ, Chidlow G, Wood JP, Crowston JG, Goldberg I (2012) Definition of glaucoma: clinical and experimental concepts. Clin Exp Ophthalmol 40:341–349
Stapelfeldt J, Kucur ŞS, Huber N, Höhn R, Sznitman R (2021) Virtual reality–based and conventional visual field examination comparison in healthy and glaucoma patients. Transl Vis Sci Technol 10:10–10
Mees L, Upadhyaya S, Kumar P et al (2020) Validation of a head-mounted virtual reality visual field screening device. J Glaucoma 29:86–91
Shetty V, Sankhe P, Haldipurkar SS et al (2022) Diagnostic performance of the PalmScan VF2000 virtual reality visual field analyzer for identification and classification of glaucoma. J Ophthalmic Vis Res 17(1):33
Pradhan ZS, Sircar T, Agrawal H et al (2021) Comparison of the performance of a novel, smartphone-based, head-mounted perimeter (GearVision) with the humphrey field analyzer. J Glaucoma 30:e146–e152
Tsapakis S, Papaconstantinou D, Diagourtas A et al (2017) Visual field examination method using virtual reality glasses compared with the Humphrey perimeter. Clin Ophthalmol 11:1431–1443
Pierre-Filho PdT, Gomes P, Pierre E, Pierre L (2010) Learning effect in visual field testing of healthy subjects using Humphrey matrix frequency doubling technology perimetry. Eye 24(5):851–856
Tiwari US, Aishwarya A, Bhale A (2018) Influence of learning effect on reliability parameters and global indices of standard automated perimetry in cases of primary open angle glaucoma. Roman J Ophthalmol 62:277
Birt CM, Shin DH, Samudrala V et al (1997) Analysis of reliability indices from Humphrey visual field tests in an urban glaucoma population. Ophthalmology 104:1126–1130
Montolio FGJ, Wesselink C, Gordijn M, Jansonius NM (2012) Factors that influence standard automated perimetry test results in glaucoma: test reliability, technician experience, time of day, and season. Invest Ophthalmol Vis Sci 53:7010–7017
Tan NY, Tham Y-C, Koh V et al (2018) The effect of testing reliability on visual field sensitivity in normal eyes: the Singapore Chinese eye study. Ophthalmology 125:15–21
Yohannan J, Wang J, Brown J et al (2017) Evidence-based criteria for assessment of visual field reliability. Ophthalmology 124:1612–1620
Okeh U, Okoro C (2012) Evaluating measures of indicators of diagnostic test performance: fundamental meanings and formulars. J Biom Biostat 3:2
Klewin KM, Radius RL (1986) Background illumination and automated perimetry. Arch Ophthalmol 104:395–397
Vesti E (2003) Essential perimetry. The field analyzer primer. In: Wiley Online Library
Acknowledgements
We thank Ganesh Babu Jonnadula at the Image Reading Centre of L V Prasad Eye Institute for grading the HVF test results for the presence of glaucomatous field loss.
Funding
Hyderabad Eye Research Foundation.
Author information
Authors and Affiliations
Contributions
AA and JB contributed in design, data collection, acquisition NC and SS in design, drafting the manuscript and critically reviewing it.
Corresponding author
Ethics declarations
Conflict of interest
The authors have not disclosed any competing interests.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
Below is the link to the electronic supplementary material.
Supplementary file2 (MP4 27619 KB)
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Baskar, J., Ali, M.A., Choudhari, N.S. et al. Development and evaluation of Order of Magnitude (OM): a virtual reality-based visual field analyzer for glaucoma detection. Int Ophthalmol 44, 186 (2024). https://doi.org/10.1007/s10792-024-03140-7
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s10792-024-03140-7