Clinical Report: Evaluating Simulated Skew Deviation with a Smartphone Eye-Tracking Tool
Overview
This study assesses the feasibility of using a smartphone application, EyePhone, to detect skew deviations, which are critical for diagnosing vestibular strokes. The findings indicate a strong correlation between EyePhone measurements and simulated skew deviations.
Background
Acute dizziness is a common presentation in emergency departments, with a significant proportion attributed to cerebrovascular accidents. Accurate diagnosis is crucial, as misdiagnosis can lead to severe outcomes, including increased mortality. The HINTS eye exam, particularly the test of skew, is essential for differentiating between central and peripheral causes of dizziness, yet its implementation is limited by the availability of trained personnel.
Data Highlights
The study demonstrated a Spearman correlation of 0.93 (CI: 0.90–0.95) between EyePhone measurements and designed skew deviations, with an area under the receiver operator curve of 0.90 for detecting clinically significant skew deviations (≥5 diopters).
Key Findings
Skew deviations of >5 diopters are highly specific for stroke.
The EyePhone application can potentially detect skew deviations in a controlled setting.
Correlation between EyePhone measurements and simulated skew deviations was strong (Spearman correlation of 0.93).
The area under the receiver operator curve for detecting skew deviations was 0.90.
Current methods for detecting skew deviations are limited by the availability of trained experts.
Clinical Implications
Further validation in clinical settings is necessary to confirm the effectiveness of the EyePhone application for assessing skew deviation.
Conclusion
The findings indicate that EyePhone measurements correlate strongly with clinically significant skew deviations.
