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Development of a test grid using Eye Movement Perimetry for screening glaucomatous visual field defects
N S Kadavath Meethal1,2, D Mazumdar1,2, R Asokan1
1Medical and Vision Research Foundation, Chennai, India.
This study developed a 26-location Eye Movement Perimetry (EMP) screening grid to detect glaucoma. The new grid accurately identifies glaucomatous visual field defects by analyzing Saccadic Eye Movement (SEM) responses.
Area of Science:
- Ophthalmology
- Neuroscience
- Medical Imaging
Background:
- Eye Movement Perimetry (EMP) evaluates visual fields using Saccadic Eye Movement (SEM) responses.
- Previous research indicates delayed SEM initiation in glaucoma patients compared to healthy individuals.
- This study aimed to create an EMP-based screening tool for identifying glaucomatous visual field defects.
Purpose of the Study:
- To develop and validate an Eye Movement Perimetry (EMP) screening grid for glaucoma detection.
- To identify specific visual field locations most susceptible to glaucomatous damage using Saccadic Reaction Time (SRT).
- To refine the EMP test for efficient and accurate population-based glaucoma screening.
Main Methods:
- An interactive 36-location test with two stimulus contrasts was evaluated in 54 healthy subjects and 50 glaucoma patients.
- Saccadic Reaction Time (SRT) was measured using an eye tracker for each stimulus presentation.
- Receiver Operating Characteristic (ROC) analysis and Area Under the Curve (AUC) determined the most effective test locations, eliminating those with AUC < 0.75.
Main Results:
- Glaucoma patients exhibited a significant 76.5% increase in SRT compared to healthy subjects (p < 0.001).
- ROC analysis led to the elimination of 10 locations, resulting in a refined 26-location screening grid.
- The refined grid maintained significant SRT differences between healthy and glaucoma groups (p < 0.05).
Conclusions:
- A 26-location EMP screening grid was successfully developed, focusing on nasal, superior, and inferior visual field areas.
- The modified grid demonstrated a high screening accuracy of 90.4% in internal validation.
- This EMP-based approach shows promise as a tool for population-based glaucoma screening.
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