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False Positive Responses in Standard Automated Perimetry

Heijl, Anders (författare)
Lund University,Lunds universitet,Oftalmologi (Malmö),Forskargrupper vid Lunds universitet,Ophthalmology (Malmö),Lund University Research Groups,Skåne University Hospital
Patella, Vincent Michael (författare)
University of Iowa
Flanagan, John G. (författare)
University of California, Berkeley
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Iwase, Aiko (författare)
Tajimi Iwase Eye Clinic
Leung, Christopher K. (författare)
Chinese University of Hong Kong
Tuulonen, Anja (författare)
Tampere University Hospital
Lee, Gary C. (författare)
Carl Zeiss Meditec
Callan, Thomas (författare)
Carl Zeiss Meditec
Bengtsson, Boel (författare)
Lund University,Lunds universitet,Oftalmologi (Malmö),Forskargrupper vid Lunds universitet,Ophthalmology (Malmö),Lund University Research Groups,Skåne University Hospital
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 (creator_code:org_t)
Elsevier BV, 2022
2022
Engelska 9 s.
Ingår i: American Journal of Ophthalmology. - : Elsevier BV. - 0002-9394. ; 233, s. 180-188
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • Purpose: To analyze the relationship between rates of false positive (FP) responses and standard automated perimetry results. Design: Prospective multicenter cross-sectional study. Methods: One hundred twenty-six patients with manifest or suspect glaucoma were tested with Swedish Interactive Thresholding Algorithm (SITA) Standard, SITA Fast, and SITA Faster at each of 2 visits. We calculated intervisit differences in mean deviation (MD), visual field index (VFI), and number of statistically significant test points as a function of FP rates and also as a function of general height (GH). Results: Increasing FP values were associated with higher MD values for all 3 algorithms, but the effects were small, 0.3 dB to 0.6 dB, for an increase of 10 percentage points of FP rate, and for VFI even smaller (0.6%-1.4%). Only small parts of intervisit differences were explained by FP (r2 values 0.00-0.11). The effects of FP were larger in severe glaucoma, with MD increases of 1.1 dB to 2.0 dB per 10 percentage points of FP, and r2 values ranging from 0.04 to 0.33. The numbers of significantly depressed total deviation points were affected only slightly, and pattern deviation probability maps were generally unaffected. GH was much more strongly related to perimetric outcomes than FP. Conclusions: Across 3 different standard automated perimetry thresholding algorithms, FP rates showed only weak associations with visual field test results, except in severe glaucoma. Current recommendations regarding acceptable FP ranges may require revision. GH or other analyses may be better suited than FP rates for identifying unreliable results in patients who frequently press the response button without having perceived stimuli.

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Oftalmologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Ophthalmology (hsv//eng)

Nyckelord

False positive responses
Glaucoma
Perimetry
Reliability Parameters
Standard Automated Perimetry
Visual Field Testing

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