June 2017
Volume 58, Issue 8
Open Access
ARVO Annual Meeting Abstract  |   June 2017
Comparison Between 24-2 SITA-Standard and 24-2 SITA-Fast Strategies in Standard Automated Perimetry
Author Affiliations & Notes
  • Brian Benenati
    Wayne State University School of Medicine, Detroit , Michigan, United States
  • Nariman Nassiri
    Kresge Eye Institute, Detroit, Michigan, United States
  • Chaesik Kim
    Kresge Eye Institute, Detroit, Michigan, United States
  • Ronald Swendris
    Kresge Eye Institute, Detroit, Michigan, United States
  • Alma Michelle Mas-Ramirez
    Kresge Eye Institute, Detroit, Michigan, United States
  • Justin Tannir
    Kresge Eye Institute, Detroit, Michigan, United States
  • Anju Goyal
    Kresge Eye Institute, Detroit, Michigan, United States
  • Mark S Juzych
    Kresge Eye Institute, Detroit, Michigan, United States
  • Bret A Hughes
    Kresge Eye Institute, Detroit, Michigan, United States
  • Footnotes
    Commercial Relationships   Brian Benenati, None; Nariman Nassiri, None; Chaesik Kim, None; Ronald Swendris, None; Alma Mas-Ramirez, None; Justin Tannir, None; Anju Goyal, None; Mark Juzych, None; Bret Hughes, None
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science June 2017, Vol.58, 2843. doi:
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      Brian Benenati, Nariman Nassiri, Chaesik Kim, Ronald Swendris, Alma Michelle Mas-Ramirez, Justin Tannir, Anju Goyal, Mark S Juzych, Bret A Hughes; Comparison Between 24-2 SITA-Standard and 24-2 SITA-Fast Strategies in Standard Automated Perimetry. Invest. Ophthalmol. Vis. Sci. 2017;58(8):2843.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose : Swedish Interactive Threshold Algorithm (SITA)-Standard (SS) and SITA-Fast (SF) are widely utilized standard automated perimetry(SAP) strategies used in glaucoma management. In this retrospective comparative study, we aimed to compare several parameters of visual field testing between SS and SF strategies.

Methods : We reviewed all 24-2 SS and SF visual field tests (Humphrey® Field Analyzer; Carl Zeiss Meditec) of glaucoma and glaucoma suspect eyes performed between Jan. 2013 and Aug. 2016 at the Kresge Eye Institute. We only included the better eye of each patient based on mean deviation. To reduce the learning effect, we only included the third visual field test of each eye. Other criteria included: age >30 years, best corrected visual acuity > 20/100, spherical equivalent > -8 diopters, and astigmatism > 3 diopters at the time of visual field testing. Eyes with neurological and major retinal diseases were excluded. The study outcomes included: test duration, mean deviation, pattern standard deviation, visual field index, fixation loss, false positive and false negative errors. To define the number of reliable tests in each group, we used the reliability cut off points defined by the manufacturer(FL< 20%, FP <15% and FP <15%). There were no selection criteria for choosing patients to do SS or SF tests. Selection was completely based on practice pattern of the glaucoma specialists at our institution.

Results : 468 SS and 472 SF visual field tests were included in this study. Table 1 compares different study outcomes between the two study groups. SS strategy showed significantly longer test duration (p<0.001) and worse fixation loss (p=0.013)(Table 1). SF strategy showed significantly more reliable visual field tests compared to SS strategy(51.27% vs. 42.09%; p= 0.041)(Table 2). Logistic regression analysis revealed test duration and SF strategy had significant negative (coefficient: -0.438; p < 0.001) and positive (odds ratio: 1.31; p <0.001) association with visual field test reliability, respectively(Table 2).

Conclusions : SF strategy showed shorter test duration, better fixation loss and more reliable visual field tests. False positive and negative errors were comparable between two strategies. Logistic model showed test duration and SF strategy are significantly associated with test reliability. Severity of glaucoma indicated by MD, PSD and VFI was not associated with test reliability.

This is an abstract that was submitted for the 2017 ARVO Annual Meeting, held in Baltimore, MD, May 7-11, 2017.

 

 

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