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Classifying patterns of localized glaucomatous visual field defects on automated perimetry
Ramanjit Sihota1, Viney Gupta, Deven Tuli
1Glaucoma Research Facility and Clinical Services, Dr Rajendra Prasad Centre for Ophthalmic Sciences, All India Institute of Medical Sciences, New Delhi, India.
Journal of Glaucoma
|January 17, 2007
Summary
This study classifies glaucoma visual field defects using automated perimetry, finding a simple system with high agreement. Central fixation was involved in 45% of defects, aiding clinical diagnosis.
Area of Science:
- Ophthalmology
- Visual Neuroscience
Background:
- Glaucomatous visual field defects are a key indicator of disease progression.
- Automated perimetry is crucial for detecting and monitoring these defects.
Purpose of the Study:
- To establish a classification system for classic glaucomatous visual field defect patterns.
- To assess the proximity of these patterns to the fixation point.
Main Methods:
- Analysis of 1120 reliable visual fields from glaucoma patients using 30-2 threshold perimetry.
- Identification and definition of defect patterns on the pattern deviation plot.
- Assessment of interreader agreement and proximity to fixation.
Main Results:
- A classification system with over 93% interreader agreement was achieved.
- Central fixation was involved in 45% of the studied glaucomatous visual field defects.
Conclusions:
- The proposed definitions for topographical glaucomatous field defects are practical for clinical use.
- The classification system demonstrates good interreader reliability.
