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Updated: May 23, 2025

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Assessing Binocular Central Visual Field and Binocular Eye Movements in a Dichoptic Viewing Condition
Published on: July 21, 2020
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Enhanced diplopia detection and binocular single vision assessment through virtual reality: A comprehensive study
Bo Yu1, Yu-Hao Li2, Yu-Lin Li1
1Department of Ophthalmology, The Second Norman Bethune Hospital of Jilin University, Changchun, 130000, China.
Scientific Reports
|March 12, 2025
Summary
A novel virtual reality system (VR-BSVT) accurately and stably assesses binocular single vision (BSV) function to detect diplopia. This technology shows promise for convenient home healthcare and telemedicine applications.
Area of Science:
- Ophthalmology
- Virtual Reality Technology
- Medical Diagnostics
Background:
- Diplopia, or double vision, significantly impacts quality of life and requires accurate assessment.
- Current methods for assessing binocular single vision (BSV) function and diplopia can be limited in scope and portability.
- Virtual reality (VR) offers a novel platform for immersive and quantitative visual assessments.
Purpose of the Study:
- To develop and validate a novel VR-based system (VR-BSVT) for quantitative assessment of diplopia.
- To evaluate the diagnostic accuracy and stability of the VR-BSVT system in clinical settings.
- To explore the potential of VR-BSVT for future home healthcare and telemedicine applications.
Main Methods:
- Development of a VR-BSVT system using Oculus Quest 2 and Unity software, measuring VR-BSVF, VR-BSVD, and VR-BAR.
- Clinical control study involving 31 healthy subjects and 35 patients with diplopia, with two VR-BSVT assessments per participant.
- Statistical analysis including ROC curves, Spearman's correlation, Bland-Altman plots, and ICC to assess diagnostic accuracy and stability.
Main Results:
- The VR-BSVT system demonstrated good diagnostic stability, with no significant differences in VR-BAR measurements between groups (P=0.988).
- VR-BSVF and VR-BSVD metrics were significantly lower in the diplopia group (P<0.01), indicating reduced BSV function.
- ROC analysis confirmed the system's ability to accurately discriminate patients with diplopia, with a 95% agreement range of -17.70 to 22.86.
Conclusions:
- The developed VR-BSVT system provides rapid, accurate, and stable detection and assessment of clinical diplopia.
- VR-BSVT utilizes VR technology to assess diplopia over a larger visual space compared to traditional methods.
- The system's compactness and portability position it as a valuable tool for future remote vision healthcare.

