June 2022
Volume 63, Issue 7
Open Access
ARVO Annual Meeting Abstract  |   June 2022
Repeatability and correlation of a virtual reality perimeter with standard automated perimetry in glaucoma patients
Author Affiliations & Notes
  • Anisa Fatima Chaudhry
    Ophthalmology, Stanford University School of Medicine, Stanford, California, United States
  • Andrew Raphael Berneshawi
    Ophthalmology, Stanford University School of Medicine, Stanford, California, United States
  • Jocelyn Liu
    Ophthalmology, Stanford University School of Medicine, Stanford, California, United States
  • Ann Shue
    Ophthalmology, Stanford University School of Medicine, Stanford, California, United States
  • Dolly Chang
    Genentech Inc, South San Francisco, California, United States
    Ophthalmology, Stanford University School of Medicine, Stanford, California, United States
  • Julia Kim
    Genentech Inc, South San Francisco, California, United States
  • Robert T. Chang
    Ophthalmology, Stanford University School of Medicine, Stanford, California, United States
  • Footnotes
    Commercial Relationships   Anisa Chaudhry None; Andrew Berneshawi None; Jocelyn Liu None; Ann Shue None; Dolly Chang None; Julia Kim None; Robert Chang Genentech, Inc., Code C (Consultant/Contractor)
  • Footnotes
    Support  Genentech, Inc.
Investigative Ophthalmology & Visual Science June 2022, Vol.63, 1279 – A0419. doi:
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    • Get Citation

      Anisa Fatima Chaudhry, Andrew Raphael Berneshawi, Jocelyn Liu, Ann Shue, Dolly Chang, Julia Kim, Robert T. Chang; Repeatability and correlation of a virtual reality perimeter with standard automated perimetry in glaucoma patients. Invest. Ophthalmol. Vis. Sci. 2022;63(7):1279 – A0419.

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

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Abstract

Purpose : To determine the repeatability of the head-mounted VisuALL Field Analyzer (vFA; Olleyes Inc., Summit NJ) and visual field parameter output correlation with the Humphrey Field Analyzer (HFA; Carl Zeiss Meditec, Dublin CA).

Methods : 45 experienced visual field test takers with an established glaucoma diagnosis and an HFA visual field (HVF) < 3 months were enrolled at a single institution. Both eyes (N=90) underwent portable vFA testing (virtual reality visual field with calibrated light stimuli meant to mimic HFA) on two separate visits. At the first visit, patients completed two vFA tests and one HVF SITA Standard 24-2 for each eye. The order may have started with HVF first if the patient had already completed it as part of their clinical visit during enrollment. Patients who had not already completed an HVF, started with the vFA first before performing an HVF. The second visit occurred within two months of the first visit, in which the patient completed one additional vFA for both eyes.

Results : The mean age of the cohort was 68 years (range of 31-88). Gender distribution was 25,20 (56% male, 44% female). The two baseline vFA tests showed high intravisit test-retest reliability with Pearson correlation coefficient r=0.94 for mean deviation (MD), and r=0.93 for pattern standard deviation (PSD) values. The average MD and PSD values of the two baseline vFA tests also had high Pearson correlation values of r=0.92 and r=0.87 for MD and PSD, respectively. Lastly, the vFA values also demonstrated high intervisit repeatability when comparing the average of the two baseline MD and PSD with the follow up visit (Pearson r=0.9 for MD, and r=0.87 for PSD).

Conclusions : The vFA has a high intravisit and intervisit test-retest reliability at baseline and follow-up among glaucoma patients experienced with perimetry and correlates well with gold standard HFA. The vFA may be a useful clinical tool to enable remote glaucoma monitoring and potentially allow more frequent visual field testing to assess change over time.

This abstract was presented at the 2022 ARVO Annual Meeting, held in Denver, CO, May 1-4, 2022, and virtually.

 

Mean MD (dB) for VR baseline 1: -8.01+/-8.24
Mean PSD for VR baseline 1: -8.01+/-8.24

Mean MD (dB) for HVF: -7.80+/- 7.50
Mean PSD for HVF: HVF -7.80+/- 7.50

Mean MD (dB) for VR baseline 1: -8.01+/-8.24
Mean PSD for VR baseline 1: -8.01+/-8.24

Mean MD (dB) for HVF: -7.80+/- 7.50
Mean PSD for HVF: HVF -7.80+/- 7.50

 

Mean MD (dB) for VR baseline 2: -6.94+/- 9.40
Mean PSD for VR baseline 2: -6.94+/- 9.40

Mean MD (dB) for VR baseline 2: -6.94+/- 9.40
Mean PSD for VR baseline 2: -6.94+/- 9.40

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