June 2020
Volume 61, Issue 7
Open Access
ARVO Annual Meeting Abstract  |   June 2020
Measurement reproducibility using Vivid Vision Perimetry: a virtual reality-based mobile platform
Author Affiliations & Notes
  • Jason Adam Greenfield
    Department of Ophthalmology, NYU Langone Health, New York, New York, United States
  • Michael Deiner
    Department of Ophthalmology, University of California, San Francisco, San Francisco, California, United States
  • Anwell Nguyen
    Department of Ophthalmology, University of California, San Francisco, San Francisco, California, United States
  • Gadi Wollstein
    Department of Ophthalmology, NYU Langone Health, New York, New York, United States
  • Bertil Damato
    Department of Clinical Neurosciences, University of Oxford, Oxford, UK, United Kingdom
    Department of Ophthalmology, University of California, San Francisco, San Francisco, California, United States
  • Benjamin T Backus
    Department of Ophthalmology, NYU Langone Health, New York, New York, United States
    Department of Ophthalmology, University of California, San Francisco, San Francisco, California, United States
  • Mengfei Wu
    Department of Ophthalmology, NYU Langone Health, New York, New York, United States
  • Joel S Schuman
    Department of Ophthalmology, NYU Langone Health, New York, New York, United States
    Department of Biomedical Engineering, NYU Tandon School of Engineering, New York, New York, United States
  • Yvonne Ou
    Department of Ophthalmology, University of California, San Francisco, San Francisco, California, United States
  • Footnotes
    Commercial Relationships   Jason Greenfield, None; Michael Deiner, None; Anwell Nguyen, None; Gadi Wollstein, None; Bertil Damato, None; Benjamin Backus, Vivid Vision Perimetry (E); Mengfei Wu, None; Joel Schuman, Zeiss (P); Yvonne Ou, None
  • Footnotes
    Support  NIH: R01-EY013178
Investigative Ophthalmology & Visual Science June 2020, Vol.61, 4800. doi:
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      Jason Adam Greenfield, Michael Deiner, Anwell Nguyen, Gadi Wollstein, Bertil Damato, Benjamin T Backus, Mengfei Wu, Joel S Schuman, Yvonne Ou; Measurement reproducibility using Vivid Vision Perimetry: a virtual reality-based mobile platform. Invest. Ophthalmol. Vis. Sci. 2020;61(7):4800.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose : Vivid Vision Perimetry (VVP) is a novel method for performing in-office and home-based visual field assessment using a virtual reality platform and oculokinetic perimetry. The purpose of this study was to examine the test-retest reproducibility of the VVP platform.

Methods : Subjects with open-angle glaucoma and glaucoma suspects were prospectively enrolled and underwent visual field analysis across 54 test locations in a 24-2 pattern using the VVP device (Vivid Vision, San Francisco, CA). Each subject was examined in 2 sessions, and the mean sensitivity (dB) was the primary outcome measure obtained for each eye in both sessions. The repeatability of mean sensitivity was assessed through analysis of bias from the differences between the two VVP sessions. A Bland-Altman plot using a mixed effects model (adjusting for average sensitivity and eye correlation) was created to illustrate the level of agreement between repeated measurements.

Results : Fourteen eyes of 7 open-angle glaucoma patients and 10 eyes of 5 glaucoma suspects were enrolled (mean age 62.3 +/- 9.3 years, 33% female). Based on the data from 24 eyes, the average difference of VVP mean sensitivity between the two sessions was found to be 0.48 dB. Three eyes (12.5%) fell outside the upper and lower limits of agreement (95% CI: -1.15, 2.11). The level of agreement between repeated VVP measurements showed a general trend of increasing precision as mean sensitivity values increased (Figure 1).

Conclusions : The VVP platform provides reproducible visual field sensitivity measurements for glaucoma patients and glaucoma suspects and represents a novel approach for glaucoma monitoring. These data suggest that VVP measurement repeatability is consistent with standard automated perimetry.

This is a 2020 ARVO Annual Meeting abstract.

 

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