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Updated: Sep 2, 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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Diagnostic accuracy of indigenously developed computer-based binocular vision assessment
P Praveen Kumar1, T Shajahan1, Jameel Rizwana Hussaindeen1,2
1Binocular Vision and Vision Therapy Clinic, Sankara Nethralaya, Chennai, Tamil Nadu, India.
Oman Journal of Ophthalmology
|August 8, 2022
Summary
A new computer-based software effectively screens for nonstrabismic binocular vision anomalies (NSBVA). This tool demonstrates high sensitivity, offering a cost-effective solution for early detection in clinical and community settings.
Area of Science:
- Ophthalmology
- Vision Science
- Optometry
Background:
- Rising prevalence of nonstrabismic binocular vision anomalies (NSBVA) necessitates efficient screening methods.
- Existing diagnostic tools may not be cost-effective for widespread use.
Purpose of the Study:
- To evaluate the effectiveness of an indigenously developed computer-based software, Train Your Eyes®, for NSBVA screening.
- To establish the software's utility as a diagnostic aid.
Main Methods:
- 88 patients with asthenopic symptoms were assessed using both manual and computer-based methods.
- Exclusion criteria included other ocular comorbidities and poor stereopsis.
- Receiver operating characteristic (ROC) curve analysis determined optimal cut-off points for sensitivity and specificity.
Main Results:
- 81% of subjects were diagnosed with NSBVA via conventional manual assessment.
- ROC analysis identified significant cut-off points for vergence amplitudes and accommodative facility (P < 0.05).
- Proposed cut-offs: 14 PD (near positive fusional vergence), 4.5 PD (near negative fusional vergence), 4.5 cpm (binocular accommodative facility), 3.5 cpm (monocular accommodative facility).
Conclusions:
- The computer-based software demonstrated high sensitivity in identifying NSBVA.
- Train Your Eyes® shows potential as a valuable screening tool in eye care settings.
- This software offers a promising, cost-effective approach to NSBVA detection.
