The Effect of Attentional Cueing and Spatial Uncertainty in Visual Field Testing

Phu, Jack; Kalloniatis, Michael; Khuu, Sieu K.

doi:10.1371/journal.pone.0150922

Cited by 16 publications

(26 citation statements)

References 52 publications

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“…Although criterion bias has been removed using the 2IFC procedure, inward motion and static presentation of targets have no visible cue and may therefore introduce spatial uncertainty. In comparison, an outward-moving target may be cued by attention to its path of movement (Phu et al, 2016). There was no bias found in the present results.…”

Section: Resultscontrasting

confidence: 54%

“…We used the Goldmann and the Humphrey visual field analyzer (HFA) perimeters. Our reason for using proprietary hardware is to ensure direct comparison and relevance to previous studies investigating SKD in clinical and laboratory settings, which have primarily used these devices (Hudson & Wild, 1992;Khuu & Kalloniatis, 2015aPhu et al, 2016;Schiller et al, 2006;Wong & Sharpe, 2000).…”

Section: Experiments 1: Comparison Between Static and Kinetic Contrastmentioning

confidence: 99%

“…Journal of Vision, 16(14):5, 1-17, doi:10.1167/16.14.5. affect the ability of the observer to report the stimulus (Khuu & Kalloniatis, 2015a;Phu, Kalloniatis, & Khuu, 2016).…”

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confidence: 99%

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Physiologic statokinetic dissociation is eliminated by equating static and kinetic perimetry testing procedures

et al. 2016

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In the present study, we measured the extent of statokinetic dissociation (SKD) in normal observers and then equated the psychophysical tasks into a two-interval forced choice (2IFC) procedure. In Experiment 1, we used the Humphrey visual field analyzer in static perimetry and automated kinetic perimetry modes to measure contrast sensitivity thresholds and the Goldmann manual kinetic perimeter to measure isopters. This was carried out using a Goldmann size II target. Goldmann kinetic perimetry was performed manually with both inward (peripheral to center) and outward (center to periphery) directions of movement to deduce an "average" isopter. This revealed the presence of SKD when superimposed upon the map of static contrast threshold results. There was no evidence of any contribution of examiner technique or instrument-specific differences to SKD. In Experiment 2, we determined the psychometric curves plotting proportion seen as a function of stimulus eccentricity with static and kinetic stimuli with a 2IFC procedure and method of constant stimuli. In an additional experiment, we also showed that subjects were able to reliably discriminate whether a stimulus was static, moving inward, or moving outward, and hence, comparisons could be made between static and kinetic perimetry tasks. Overall, by making the task objective and reducing criterion bias, eccentricity thresholds were equated across static and kinetic perimetry methods; hence, no evidence of SKD was seen. We suggest SKD is inherent to the differences in methodology of threshold measurement in conventional static and kinetic perimetry and individual criterion bias.

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Section: Resultscontrasting

confidence: 54%

Section: Experiments 1: Comparison Between Static and Kinetic Contrastmentioning

confidence: 99%

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Physiologic statokinetic dissociation is eliminated by equating static and kinetic perimetry testing procedures

et al. 2016

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“…34 Starting with an age-corrected sensitivity value (rather than 25 dB) at the 4 seeding points introduces significant uncertainty. 21,22,48 Consequently, this may alter response criterion, such that a more intense stimulus is required before the subject indicates a response. This is further complicated by having only 1 reversal for the staircase, which finally manifests as higher seeding point errors using SFR because there is no opportunity to reorient to the actual sensitivity.…”

Section: Modifications To Sfr and Low Test Reliabilitymentioning

confidence: 99%

Clinical Evaluation of Swedish Interactive Thresholding Algorithm–Faster Compared With Swedish Interactive Thresholding Algorithm–Standard in Normal Subjects, Glaucoma Suspects, and Patients With Glaucoma

Phu

Khuu

Agar

et al. 2019

American Journal of Ophthalmology

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To compare the visual fields results obtained using the Swedish interactive thresholding algorithm-Standard (SS) and the Swedish interactive thresholding algorithm-Faster (SFR) in normal subjects, glaucoma suspects, and patients with glaucoma and to quantify potential time-saving benefits of the SFR algorithm. DESIGN: Prospective, cross-sectional study. METHODS: One randomly selected eye from 364 patients (77 normal subjects, 178 glaucoma suspects, and 109 patients with glaucoma) seen in a single institution underwent testing using both SS and SFR on the Humphrey Field Analyzer. Cumulative test time using each algorithm was compared after accounting for different rates of test reliability. Pointwise and cluster analysis was performed to determine whether there were systematic differences between algorithms. RESULTS: Using SFR had a greater rate of unreliable results (29.3%) compared with SS (7.7%, P < .0001). This was mainly because of high false positive rates and seeding point errors. However, modeled test times showed that using SFR could obtain a greater number of reliable results within a shorter period of time. SFR resulted in higher sensitivity values (on average 0.5 dB for patients with glaucoma) that was greater under conditions of field loss (<19 dB). Cluster analysis showed no systematic patterns of sensitivity differences between algorithms. CONCLUSIONS: After accounting for different rates of test reliability, SFR can result in significant time savings compared with SS. Clinicians should be cognizant of false positive rates and seeding point errors as common sources of error for SFR. Results between algorithms are not directly interchangeable, especially if there is a visual field deficit <19 dB.

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“…The exclusion criteria used by Bengtsson and Heijl 22 also noted that suspicious VF defects must be explained by ocular status. However, we also excluded results with suspicious VF “defects” if they could be explained by other artefacts, such as lens scotomas, blepharoptosis, or inattention, 23 – 27 as these do not represent normal VF results. This cohort essentially served as the development cohort for the subsequent clustered theme maps.…”

Section: Methodsmentioning

confidence: 99%

Application of Pattern Recognition Analysis to Optimize Hemifield Asymmetry Patterns for Early Detection of Glaucoma

Phu

Khuu

Bui

et al. 2018

Trans. Vis. Sci. Tech.

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PurposeTo assess the diagnostic utility of a new hemifield asymmetry analysis derived using pattern recognition contrast sensitivity isocontours (CSIs) within the Humphrey Field Analyzer (HFA) 24-2 visual field (VF) test grid. The performance of an optimal CSI-derived map was compared against a commercially available clustering method (Glaucoma Hemifield Test, GHT).MethodsFive hundred VF results of 116 healthy subjects were used to determine normative distribution limits for comparisons. Pattern recognition analysis was applied to HFA 24-2 sensitivity data to determine CSI theme maps delineating clusters for hemifield comparisons. Then, 1019 VF results from 228 glaucoma patients were assessed using different clustering methods to determine the true-positive rate. We also assessed additional 354 VF results of 145 healthy subjects to determine the false-positive rate.ResultsThe optimum clustering method was the CSI-derived seven-theme class map, which identified more glaucomatous VFs compared with the GHT map. The seven-class theme map also identified more cases compared with the five-, six-, and eight-class maps, suggesting no effect of number of clusters. Integrating information regarding the location of glaucomatous defects to the CSI clusters did not improve detection rate.ConclusionsA clustering map derived using CSIs improved detection of glaucomatous VFs compared with the currently available GHT. An optimized CSI-derived map may serve as an additional means to aid earlier detection of glaucoma.Translational RelevancePattern recognition–derived theme maps provide a means for guiding test point selection for asymmetry analysis in glaucoma assessment.

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The Effect of Attentional Cueing and Spatial Uncertainty in Visual Field Testing

Cited by 16 publications

References 52 publications

Physiologic statokinetic dissociation is eliminated by equating static and kinetic perimetry testing procedures

Physiologic statokinetic dissociation is eliminated by equating static and kinetic perimetry testing procedures

Clinical Evaluation of Swedish Interactive Thresholding Algorithm–Faster Compared With Swedish Interactive Thresholding Algorithm–Standard in Normal Subjects, Glaucoma Suspects, and Patients With Glaucoma

Application of Pattern Recognition Analysis to Optimize Hemifield Asymmetry Patterns for Early Detection of Glaucoma

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