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Evaluation of the Consistency of Glaucomatous Visual Field Defects Using a Clustered SITA-Faster Protocol
Jeremy C K Tan1, Jack Phu2, Denise Go3
1Faculty of Medicine and Health, University of New South Wales, Kensington, New South Wales, Australia; Department of Ophthalmology, Prince of Wales Hospital, Randwick, New South Wales, Australia.
Ophthalmology
|June 29, 2023
Summary
Frontloading SITA-Faster (SFR) visual fields provides repeatable data for glaucoma defect evaluation with no performance decline. This method offers equivalent reliability and duration to SITA-Standard, aiding progression analysis.
Area of Science:
- Ophthalmology
- Visual Neuroscience
- Medical Technology
Background:
- SITA-Faster (SFR) visual fields (VF) offer repeatable perimetric data efficiently.
- Evaluating pointwise VF defects in glaucoma patients transitioning from SITA-Standard (SS) requires reliable methods.
Purpose of the Study:
- To assess the outcomes of using frontloaded SFR for evaluating pointwise VF defects in glaucoma patients.
- To compare the consistency of VF defects using sequential SFR tests versus a single SS test.
Main Methods:
- Prospective, cross-sectional study involving 144 eyes of 91 glaucoma patients.
- Two SFR tests (T1, T2) were performed per eye on the same visit.
- Comparison of global sensitivity, reliability indices, and pointwise deviation map probabilities across SS, SFR1, and SFR2 tests.
Main Results:
- No significant difference in mean deviation (MD) was found across SS, SFR1, and SFR2 tests.
- Frontloaded SFR confirmed existing SS defects in 62.3% of locations and revealed new repeatable defects in 5.4%.
- Test duration significantly decreased with SFR (158-160 seconds) compared to SS (379 seconds), with equivalent reliability.
Conclusions:
- Frontloading SFR tests yields repeatable data for assessing glaucoma pattern deviation defects without test fatigue.
- This approach offers comparable reliability and duration to a single SS test.
- Frontloading SFR can enhance testing frequency for glaucoma progression analysis.
Keywords:
GlaucomaHumphrey Field AnalyzerMean deviationOCTPerimetryProgressionSITA-FasterSITA-StandardStatic automated perimetryVisual fields
