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Visual field testing in glaucoma using the Swedish Interactive Thresholding Algorithm (SITA).

Jeremy C K Tan1, Jithin Yohannan2, Pradeep Y Ramulu2

  • 1Faculty of Medicine and Health, University of New South Wales, Kensington, NSW, Australia; Optometry and Visual Sciences, City, University of London, Northampton Square, London, United Kingdom; Save Sight Institute, University of Sydney,Camperdown, NSW, Australia.

Survey of Ophthalmology
|September 30, 2024
PubMed
Summary
This summary is machine-generated.

The new SITA-Faster algorithm offers similar visual field sensitivity to older versions but may differ in severe cases. False positive rates are key for reliability, and the 24-2C grid aids in detecting central defects.

Keywords:
Humphrey Field AnalyzerSwedish interactive thresholding algorithm (SITA)glaucomastatic automated perimetryvisual fields

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Area of Science:

  • Ophthalmology and Visual Science
  • Medical Technology and Instrumentation

Background:

  • The Humphrey Field Analyser is the global standard for visual field (VF) assessment.
  • The Swedish Interactive Thresholding Algorithm (SITA) is its primary data acquisition algorithm.
  • Three SITA versions exist: SITA Standard (SS), SITA Fast (SF), and the newer SITA Faster (SFR).

Purpose of the Study:

  • To compare the sensitivity outputs and reliability parameters of SS, SF, and SFR algorithms.
  • To evaluate the performance of the new SFR algorithm, particularly with the 24-2C test grid.
  • To assess the appropriateness of current reliability metrics, specifically false positive rates.

Main Methods:

  • Comparative analysis of sensitivity outputs from SS, SF, and SFR algorithms.
  • Evaluation of reliability parameters, focusing on false positive rates.
  • Assessment of the 24-2C test grid's utility compared to the 10-2 grid for central VF defects.

Main Results:

  • SFR demonstrates comparable sensitivity outputs to SS and SF, but potential interchangeability issues exist in severe visual field loss.
  • False positive rate significantly impacts VF reliability, questioning the suitability of the 15% cutoff for SFR.
  • The 24-2C grid effectively identifies clustered central VF defects, while the 10-2 grid offers more detailed characterization.

Conclusions:

  • SFR is a viable alternative to SS and SF for most visual field assessments, with caution advised for severe VF loss.
  • Current false positive thresholds may require re-evaluation for SFR to ensure accurate reliability assessment.
  • The 24-2C grid is valuable for initial detection of central defects, complementing the 10-2 grid's detailed analysis.