Performance of VisuALL virtual reality visual field testing in healthy children.


Journal

Journal of AAPOS : the official publication of the American Association for Pediatric Ophthalmology and Strabismus
ISSN: 1528-3933
Titre abrégé: J AAPOS
Pays: United States
ID NLM: 9710011

Informations de publication

Date de publication:
Feb 2024
Historique:
received: 22 05 2023
revised: 10 10 2023
accepted: 15 10 2023
medline: 18 3 2024
pubmed: 15 1 2024
entrez: 14 1 2024
Statut: ppublish

Résumé

Virtual reality field testing may provide an alternative to standard automated perimetry. This study evaluates a virtual reality game-based automated perimetry in a healthy pediatric population. A prospective series of pediatric patients at one institution who performed VisuALL perimetry (Olleyes Inc, Summit, NJ) using a game-based algorithm. Participants were examined by an experienced pediatric optometrist or ophthalmologist, who confirmed that there was no evidence of ocular disease expected to affect visual fields. Testing was performed binocularly, with the child wearing their spectacle correction in place. Age, refractive error, test duration, false positives, and stereoacuity were evaluated for associations with performance on VisuALL, as defined by mean deviation (MD) and pattern standard deviation (PSD). A total of 191 eyes of 97 patients (54% female) were included, with a mean age of 11.9 ± 3.1 years. The average MD was -1.82 ± 3.5 dB, with a mean foveal sensitivity of 32.0 ± 4.7 dB. Fifty-nine eyes (30.9%) had MD < -2 dB. Better performance, as assessed by MD and PSD, was associated with shorter test duration (P < 0.001) and older age (P < 0.001). False positives (P = 0.442), wearing spectacles (P = 0.092), Titmus stereoacuity (P = 0.197), and refractive error (P = 0.120) did not appear to be associated with improved performance, adjusting for age as a covariate. VisuALL virtual reality field testing was well tolerated in this pediatric study cohort. Older age and shorter test duration were associated with better performance on field testing.

Sections du résumé

BACKGROUND BACKGROUND
Virtual reality field testing may provide an alternative to standard automated perimetry. This study evaluates a virtual reality game-based automated perimetry in a healthy pediatric population.
METHODS METHODS
A prospective series of pediatric patients at one institution who performed VisuALL perimetry (Olleyes Inc, Summit, NJ) using a game-based algorithm. Participants were examined by an experienced pediatric optometrist or ophthalmologist, who confirmed that there was no evidence of ocular disease expected to affect visual fields. Testing was performed binocularly, with the child wearing their spectacle correction in place. Age, refractive error, test duration, false positives, and stereoacuity were evaluated for associations with performance on VisuALL, as defined by mean deviation (MD) and pattern standard deviation (PSD).
RESULTS RESULTS
A total of 191 eyes of 97 patients (54% female) were included, with a mean age of 11.9 ± 3.1 years. The average MD was -1.82 ± 3.5 dB, with a mean foveal sensitivity of 32.0 ± 4.7 dB. Fifty-nine eyes (30.9%) had MD < -2 dB. Better performance, as assessed by MD and PSD, was associated with shorter test duration (P < 0.001) and older age (P < 0.001). False positives (P = 0.442), wearing spectacles (P = 0.092), Titmus stereoacuity (P = 0.197), and refractive error (P = 0.120) did not appear to be associated with improved performance, adjusting for age as a covariate.
CONCLUSIONS CONCLUSIONS
VisuALL virtual reality field testing was well tolerated in this pediatric study cohort. Older age and shorter test duration were associated with better performance on field testing.

Identifiants

pubmed: 38219921
pii: S1091-8531(24)00002-8
doi: 10.1016/j.jaapos.2023.10.004
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

103802

Informations de copyright

Copyright © 2024. Published by Elsevier Inc.

Auteurs

Samuel Alvarez-Falcón (S)

Department of Ophthalmology, Duke University Medical Center, Durham, North Carolina.

Bo Wang (B)

Wilmer Eye Institute, Johns Hopkins Hospital, Baltimore, Maryland.

Emma Taleb (E)

Department of Ophthalmology, Duke University Medical Center, Durham, North Carolina.

Nathan L Cheung (NL)

Department of Ophthalmology, Duke University Medical Center, Durham, North Carolina.

Chelsea A Scriven (CA)

Department of Ophthalmology, Duke University Medical Center, Durham, North Carolina.

Yos Priestley (Y)

Department of Ophthalmology, Duke University Medical Center, Durham, North Carolina.

Mays El-Dairi (M)

Department of Ophthalmology, Duke University Medical Center, Durham, North Carolina.

Sharon F Freedman (SF)

Department of Ophthalmology, Duke University Medical Center, Durham, North Carolina. Electronic address: sharon.freedman@duke.edu.

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Classifications MeSH