Comparison between two fast threshold strategies: SPARK and SITA in normal subjects
| Autor: | Rebekka Heitmar, Robert P. Cubbidge, Say Kiang Foo |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Clinical tests
retina genetic structures lens Computer science Maximum likelihood Vision Disorders Sensitivity and Specificity 03 medical and health sciences 0302 clinical medicine Original Research Articles Spark (mathematics) Humans Threshold estimation Likelihood Functions refraction Reproducibility of Results General Medicine eye diseases optics Ophthalmology glaucoma cataract Sensory Thresholds instruments 030221 ophthalmology & optometry psychophysical testing Visual Field Tests techniques of retinal examination Algorithm Algorithms 030217 neurology & neurosurgery |
| Zdroj: | European Journal of Ophthalmology |
| ISSN: | 1724-6016 1120-6721 |
| DOI: | 10.1177/1120672120926455 |
| Popis: | Background Numerous fast threshold strategies have been developed in perimetry which use maximum likelihood approaches to estimate the threshold. A recent approach to threshold estimation has been developed estimating the threshold from a limited number of test points which further reduces examination time. This strategy, SPARK, has not been compared to the SITA strategy. The aim of this study was to compare SPARK with SITA in a normal cohort to evaluate within and between strategy agreement in threshold estimates. Methods A total of 83 normal subjects each underwent two visual field examinations with SITA and SPARK on two separate occasions on a randomly selected eye. The eye examined and the order of strategy examined first was randomised but remained constant over the two perimetry visits. Results Visual field examination with SPARK Precision was on average 33% faster than SITA Standard. A positive correlation between group mean sensitivities of SITA Standard and SPARK Precision (rho = 0.713, p Conclusion The clinical examination of SPARK yields a sensitivity profile similar to SITA but in a faster examination time. The lower threshold variability of SPARK may be as a result of data smoothing in the threshold estimation process. |
| Databáze: | OpenAIRE |
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