Literature DB >> 34003954

A Virtual Reality-Based Automated Perimeter, Device, and Pilot Study.

Mario Montelongo1, Alberto Gonzalez2, Freddy Morgenstern2, Sean P Donahue3, Sylvia L Groth3.   

Abstract

Purpose: The purpose of this study was to describe a novel, virtual reality (VR)-based platform for evaluating visual fields.
Methods: Three subjects were tested on the VisuALL VR headset. Data collected included test duration per eye, total fixation losses (FLs), total false positives (FPs), and total false negatives (FNs). Mean threshold values were collected from the superior temporal (ST), superior nasal (SN), inferior nasal (IN), inferior temporal (IT) quadrants, and from the central 12 degrees (central), 12 to 24 degrees (pericentral), and from all testing loci (global).
Results: Six eyes of 3 subjects (2 men, 1 woman; mean age 30 years) were tested using the T-24 protocol (a Humphrey visual field [HVF] 24-2 equivalent). Mean test duration was 4.43 ± (SD) 0.11 minutes/eye. Mean threshold values ± SD for ST, SN, IN, IT, global, central, and pericentral were 31.1 ± 0.95 decibel (dB), 31.9 ± 0.3 dB, 32.0 ± 0.3 dB, 32.0 ± 1.1 dB, 31.9 ± 0.5 dB, 32.8 ± 0.5 dB, and 31.5 ± 0.5 dB, respectively. Conclusions: This work describes the technical aspects of the VisuALL. Participants were able to complete the test and generate threshold values at each of 50 locations in the central 24 degrees of visual field. This VR-based visual field test shows potential to become an alternative to analog, stationary standard automated perimetry tests. Translational Relevance: The VisuALL is an immersive, VR-based, automated perimeter that effectively addresses some of the limitations inherent to other popular perimetric devices. Potential advantages of the VisuALL are its adaptability, portability, and efficiency for patients. This device may be able to fill the gap present in at-home glaucoma monitoring and expand the reach of glaucoma management.

Entities:  

Mesh:

Year:  2021        PMID: 34003954      PMCID: PMC7991920          DOI: 10.1167/tvst.10.3.20

Source DB:  PubMed          Journal:  Transl Vis Sci Technol        ISSN: 2164-2591            Impact factor:   3.283


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