(UKPGS) Pediatric Virtual Reality Visual Fields: Establishing a Normative Database in a Pediatric Population using a Virtual Reality Visual Field (VRVF) Test

Da Silva K, Munshi H, Savatovsky E, Grajewski A.¹

Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, FL

Conference: United Kingdom Pediatric Glaucoma Society Annual Meeting, February 5th, 2022

Graphs and figures

Recent publications

(ARVO) Assessment of Superior Visual Field Prior to Functional Upper Eyelid Surgery: Comparison of Virtual Reality (Virtual Eye VRVF) Device without Eye-Tracking vs. Standard Automated Perimetry (SAP)

(ARVO) Visual Field Testing in a Telehealth Setting: Remote Perimetry Using a Head-Mounted Device (Virtual Eye) in Normal Eyes

(ARVO) Preliminary Retrospective Validation of a Novel Virtual Reality Visual Field (Virtual Eye) Standard Testing Algorithm, as Compared to Standard Automated Perimetry

Purpose:

To determine pediatric reference values using a virtual reality visual field (VRVF: Virtual Vision) perimeter.

Methods:

Subjects were recruited for a prospective observational study from Pediatric Ophthalmology clinics at a tertiary care institution to take a virtual reality visual field test using VRVF, an automated perimeter built by Virtual Vision. Eligible patients were between the ages of 9 and 18 years, had a best-corrected visual acuity of 20/30 or better and had no prior experience with perimetry. An instructional video was shown to subjects to familiarize them with the exam before undergoing a 24-2 standard visual field test using stimulus size V. Mean sensitivities and standard deviations (SD) were calculated for each grid point.

Results:

Thirteen eyes (OD=6, OS=7) from eight patients were identified for the study. The mean age of subjects was 13.8 +/- 3.0 years. The average test duration (m:ss) was 5:14 +/- 0:43. The mean sensitivity(MS) OD was 33.6 dB with a mean SD of 1.96 dB at each grid point and MS OS was 35.0 dB with a mean SD of 2.9 dB.

Conclusions:

Obtaining pediatric reference values using VRVF, a virtual reality-based perimetry, could improve disease monitoring and clinical decision making in this population.