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Assessment of the Reliability of Standard Automated Perimetry in Regions of Glaucomatous Damage Stuart K. Gardiner, PhD, 1 William H. Swanson, PhD, 2 Deborah Goren, PhD, 1 Steven L. Mansberger, MD, MPH, 1 Shaban Demirel, PhD 1 Purpose: Visual eld testing uses high-contrast stimuli in areas of severe visual eld loss. However, retinal ganglion cells saturate with high-contrast stimuli, suggesting that the probability of detecting perimetric stimuli may not increase indenitely as contrast increases. Driven by this concept, this study examines the lower limit of perimetric sensitivity for reliable testing by standard automated perimetry. Design: Evaluation of a diagnostic test. Participants: A total of 34 participants with moderate to severe glaucoma; mean deviation at their last clinic visit averaged 10.90 dB (range, 20.94 to 3.38 dB). A total of 75 of the 136 locations tested had a perimetric sensitivity of 19 dB. Methods: Frequency-of-seeing curves were constructed at 4 nonadjacent visual eld locations by the Method of Constant Stimuli (MOCS), using 35 stimulus presentations at each of 7 contrasts. Locations were chosen a priori and included at least 2 with glaucomatous damage but a sensitivity of 6 dB. Cumulative Gaussian curves were t to the data, rst assuming a 5% false-negative rate and subsequently allowing the asymptotic maximum response probability to be a free parameter. Main Outcome Measures: The strength of the relation (R 2 ) between perimetric sensitivity (mean of last 2 clinic visits) and MOCS sensitivity (from the experiment) for all locations with perimetric sensitivity within 4 dB of each selected value, at 0.5 dB intervals. Results: Bins centered at sensitivities 19 dB always had R 2 > 0.1. All bins centered at sensitivities 15 dB had R 2 < 0.1, an indication that sensitivities are unreliable. No consistent conclusions could be drawn between 15 and 19 dB. At 57 of the 81 locations with perimetric sensitivity <19 dB, including 49 of the 63 locations 15 dB, the tted asymptotic maximum response probability was <80%, consistent with the hypothesis of response saturation. At 29 of these locations the asymptotic maximum was <50%, and so contrast sensitivity (50% response rate) is undened. Conclusions: Clinical visual eld testing may be unreliable when visual eld locations have sensitivity below approximately 15 to 19 dB because of a reduction in the asymptotic maximum response probability. Researchers and clinicians may have difculty detecting worsening sensitivity in these visual eld locations, and this difculty may occur commonly in patients with glaucoma with moderate to severe glaucomatous visual eld loss. Ophthalmology 2014;-:1e11 ª 2014 by the American Academy of Ophthalmology. Automated white-on-white perimetry remains the clinical standard for objective assessment of function in glaucoma. However, the testeretest variability is considerable and worsens with greater damage. 1e12 This necessitates repeated visual eld testing when establishing a diagnosis of glau- coma or ascertaining disease progression. 13e17 For example, variability in patients with ocular hypertension required 3 conrmatory visual elds to reliably detect progression. 18 Studies of patients with glaucoma or ocular hypertension suggest that approximately 6 visual elds may be required to assess the rate of visual eld progression. 14 Overall, the variability of visual eld sensitivity, especially in patients with glaucoma, may delay detection and treatment of progressive glaucomatous visual eld loss. Static perimetry uses a contrast stimulus that, when pre- sented, causes an increase in the ring rate of functioning retinal ganglion cells (RGCs). Ganglion cell axons transmit these action potentials to the visual cortex via the lateral geniculate nucleus. As stimulus contrast is increased, RGCs increase their ring rate, eventually reaching the point at which the observer detects and responds to the stimulus. 19 The generation of action potentials is probabilistic in that their exact timing cannot be predicted, and it is common to report the mean number of spikes within a set time period across repeated stimulus presentations. Because of this and other factors, in eyes free of disease, the probability of responding to a stimulus increases gradually from 0% for stimuli several decibels higher than threshold (lower contrast) to 100% for stimuli several decibels lower than threshold (higher contrast). The psychometric function, describing the probability that the observer will respond to a stimulus of a given contrast, is known in perimetry as the frequency-of- seeing (FOS) curve. In clinical perimetry, contrast sensitivity is dened as the reciprocal of the contrast that the subject will 1 Ó 2014 by the American Academy of Ophthalmology ISSN 0161-6420/14/$ - see front matter Published by Elsevier Inc. http://dx.doi.org/10.1016/j.ophtha.2014.01.020

Assessment of the Reliability of Standard Automated Perimetry in Regions of Glaucomatous Damage

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    imuesentomParticipants: A total of 34 participants with moderate to severe glaucoma; mean deviation at their last clinicvisit averaged 10.90 dB (range, 20.94 to 3.38 dB). A total of 75 of the 136 locations tested had a perimetricsensitivity of 19 dB.

    Methods: Frequency-of-seeing curves were constructed at 4 nonadjacent visual eld locations by the Methodof Constant Stimuli (MOCS), using 35 stimulus presentations at each of 7 contrasts. Locations were chosen a prioriand included at least 2 with glaucomatous damage but a sensitivity of 6 dB. Cumulative Gaussian curves were tto the data, rst assuming a 5% false-negative rate and subsequently allowing the asymptotic maximum responseprobability to be a free parameter.

    Main Outcome Measures: The strength of the relation (R2) between perimetric sensitivity (mean of last 2clinic visits) and MOCS sensitivity (from the experiment) for all locations with perimetric sensitivity within 4 dB ofeach selected value, at 0.5 dB intervals.

    Results: Bins centered at sensitivities 19 dB always had R2> 0.1. All bins centered at sensitivities 15 dBhad R2< 0.1, an indication that sensitivities are unreliable. No consistent conclusions could be drawn between 15and 19 dB. At 57 of the 81 locations with perimetric sensitivity

  • respond to on 50% of presentations. To maintain an acceptable for the atter FOS curves and thus the higher variability that

    Swanson et al reported that in nonhuman primates, semi-

    Ophthalmology Volume -, Number -, Month 2014test duration and avoid overly fatiguing the patient, thissensitivity is typically estimated on the basis of

  • visual eld test results (conducted on an HFA perimeter). The mostrecent clinic visit occurred an average of 169 days before the study

    Gaussian distribution, such that F(N) 0 and F(N) 1. CS

    Gardiner et al Accuracy of Perimetry at Low Sensitivities in Glaucomavisit. At least 2 of the chosen locations had signicantly reducedsensitivity that was no less than 6 dB (to ensure that some functionremained at that location), with the remaining locations in differentregions of the visual eld to promote xation stability. Testingseveral locations within the visual eld also ensures spatial un-certainty, which increases the slope of the FOS curve by preventingattention being focused on a single location28 and makes the testconditions more similar to clinical perimetry.

    The FOS curves were assessed using the Method of ConstantStimuli (MOCS) on an Octopus perimeter.29 At each test location,perimetric sensitivity was dened as the mean of the sensitivitiesmeasured at that location during the subjects 2 most recent clinicalvisual eld examinations. For the 2 less damaged locations of the4, 7 contrasts were chosen for testing, set at 3-dB intervals centeredat the perimetric sensitivity (i.e., so that the range 9 dB from thisvalue is covered). If perimetric sensitivity was

  • Ophthalmology Volume -, Number -, Month 2014increased (lower on the decibel scale). The MOCS sensitivities forthese locations were 29.7 and 31.1 dB, respectively. However, forthe 2 more damaged locations (3, 15) and (15, 3) on thebottom row, the response probability never approaches 100%,despite the fact that it is clearly greater than zero and so somefunction remains. The tted sensitivities assuming a 5% false-negative rate (dashed lines) are 4.1 and 6.3 dB, despite thefact that during the subjects last clinic visit the pointwise sensi-tivities measured by perimetry were 15 and 14 dB, respectively. Inthe secondary analysis allowing for response saturation (dottedlines), the tted asymptotic maximum response probability is 66%for location (3, 15) (bottom left). This indicates that unless thefalse-negative error rate is extremely high (which seems unlikelygiven that the subject produces response probabilities reaching100% at the healthier locations), response saturation is likely takingplace. For location (15, 3) (bottom right), the tted asymptoticmaximum response probability is just 10%. In this case, theresponse threshold (i.e., 50% probability of response) is neverattained, and thus contrast sensitivity in its most common clinicalformulation is undened.

    Figure 2 plots the MOCS sensitivity (tted to the experimentaldata assuming a false-negative rate of 5%, i.e., according to the null

    Figure 1. Response probabilities for a sample study subject at 4 tested locationsof-seeing (FOS) curve as tted using the primary analysis, in which the maximuhigh (assuming a 5% false-negative rate). The dotted line indicates the FOS curvdescribed in the Methods section.

    4hypothesis) against perimetric sensitivity (the average of the sen-sitivities measured by perimetry at the 2 most recent clinic visits)for all 4 locations of all 34 subjects. At higher perimetric sensi-tivities, the association is strong and perimetry seems to reect theMOCS sensitivity, with a comparatively small amount of vari-ability. However, at lower perimetric sensitivities, the associationbreaks down and perimetry tends to overestimate the MOCSsensitivity. Perhaps more important, it does so by an unpredictableamount. Figure 3 shows the correlation between perimetric andMOCS sensitivities within sliding bins of width 8 dB. For eachbin centered at sensitivities 19 dB (e.g., the bins covering theranges 15e23 dB, 15.5e23.5 dB), the relation has R2> 0.1 andis signicant at the 5% level. At sensitivities below this level thecorrelation between the 2 is lower and indeed is generally noteven statistically signicant despite sample sizes of at least 39tested locations in each of the bins. For each bin centered atsensitivities 15 dB, the relation has R2< 0.1 and is neversignicant at the 5% level.

    Figure 4 shows the percentage of presentations during MOCStesting for which the subject responded to the highest luminancestimulus presented at each of the 2 most damaged locations(according to their perimetric sensitivity). This maximal stimulus

    (at positions as labeled in degrees). The dashed line indicates the frequency-m response probability would be 95% if contrast could be made sufcientlye t allowing this asymptotic maximum to vary, as in the secondary analysis

  • of these results is that an apparent change in sensitivitywithin the range from 0 to 15 to 19 dB may not be indicative

    Gardiner et al Accuracy of Perimetry at Low Sensitivities in Glaucomawas 0 dB on the Octopus perimeter used for testing, equivalent to3.7 dB on an HFA perimeter (the units reported here). At 44% oflocations, this probability was

  • Ophthalmology Volume -, Number -, Month 2014presentation during testing, or a location with true threshold
  • Gardiner et al Accuracy of Perimetry at Low Sensitivities in Glaucomamany regions of the upper hemield, sensitivities were
  • sensitivity at the second test date could have been as high as (Fig 3). This criterion is useful but essentially arbitrary, and

    Ophthalmology Volume -, Number -, Month 201419 dB. Indeed, on the third test the reported sensitivity atthat location had increased to 17 dB.

    Within glaucoma research, many studies have relied onperimetric sensitivities from severely damaged locations,which may be unreliable. Our interpretation of the resultssuggests restricting analyses to locations with sensitivities19 dB. For example, there has been debate over the beststatistical models to deal with the oor effect occurring at0 dB.32e34 However, our ndings suggest that a oormight actually exist between 15 and 19 dB. Studies of thestructureefunction relation35,36 would be affected by theinclusion of regions with severe glaucomatous damagewhose sensitivities are unreliable, and it remains to be seenwhether this has any material impact on the conclusions. Theimplications of our ndings on other studies will varydepending on the study population used. The Ocular Hy-pertension Treatment Study, for instance, consisted of sub-jects with visual elds that were within normal limits atbaseline,37 and so the proportion of locations that progressedbeyond 19 dB was likely small; the implications of ndingsfrom that study are unlikely to change.

    Our results also suggest the possible need for alternateclinical methods for assessing progressive functionalchange. For example, severely damaged locations (in thiscase,

  • recommend this as the oor of future testing algorithms that could have decreased the slopes of the FOS curves.28 Testing

    Gardiner et al Accuracy of Perimetry at Low Sensitivities in Glaucomarely on these stimuli.Although variability has been suggested as a precursor of

    visual eld damage in glaucoma,40 the high variability ofperimetric sensitivities has more typically been thought ofas a problem to be battled rather than a potential source ofinformation. However, gaining an improved understandingof the reasons for this variability could aid efforts to reduceit, whether that is by postprocessing of the data,41 differenttest algorithms,42,43 or different test stimuli.44 It may alsoshed light on aspects of the pathophysiology, such as thepossible presence of living yet dysfunctional RGCs.45,46 IfRGCs were dysfunctional in a manner that caused a pro-portionately reduced response to any given stimulus contrast,this might effectively shift the FOS curve toward the left(toward higher contrasts/lower sensitivity). Response prob-abilities would still eventually reach 100%, but at a greatercontrast than would be the case for healthy cells. There wasno evidence for this hypothesis in our results because theresponse probability frequently does not reach 100% withinthe contrast range produced bymodern increment perimeters.Our data do not rule out other forms of dysfunction. Forexample, the maximal response of a dysfunctional RGCcould be reduced.

    The inaccuracy of perimetry when assessing sensitivity atdamaged locations is not caused by the choice of testing al-gorithm (in this case, the SITA20). For many of the locationstested, the asymptotic maximum response probability was50%, if there is only a small increase in responseprobability with contrast (which would be expectedbecause RGC saturation is an asymptotic rather thanabsolute phenomenon), that increase is so small that atesting algorithm would require an unrealistically long testduration to reliably determine the response threshold. Inthis study, testing took up to half an hour to quantifyperformance at just 4 locations. Our conclusions also applyequally to different perimeters. Because of the instrument-specic nature of the decibel scale, the cutoff we have cho-sen would be different; 19 dB on the HFA (the units used inthis report) is equivalent to 15.3 dB on the Octopus 900perimeter, or 400% contrast. It should be noted that theperimetric sensitivity used in this study was the mean of the 2most recent clinical visual eld tests, and if a single test hadbeen used the results most likely would have been morevariable than shown here.

    Study Limitations

    In this study, we made every attempt to make the FOS curvetesting mimic clinical perimetry as closely as possible. Themost signicant difference is that only 4 locations were testedinstead of 54 (in a 24-2 visual eld) or 68 (in a 10-2 visualeld). This will have reduced spatial uncertainty, and thistook place as part of a longer session lasting up to 1 hour intotal, and so some fatigue effects may be present, which couldlower the MOCS sensitivity. Allowing breaks between runsshould have minimized these effects, and the majority ofsubjects took at least 1 longer break of 10 minutes or morepart way through the testing sequence.

    In conclusion, this study found that in eyes with glau-coma, clear media, and no other ocular comorbidities,pointwise sensitivities less than approximately 15 to 19 dBfrom clinical perimetry showed little correlation with thetrue functional status at that location. In an eye with rela-tively clear media, the only reliable information that suchlocations provide may be that the sensitivity is likely to bebetween 0 and 15 to 19 dB. These ndings provide apossible explanation for the high variability observed at lowsensitivities when using perimetry. It may be useful toanalyze data from research studies on the basis of 19 dBbeing the lower limit of the reliable stimulus range ofstandard automated perimetry, rather than using the 0 dBlower limit of the technical stimulus range of the instrument.Clinically, threshold values less than 15 to 19 dB should beinterpreted with caution because they may not be reliable forassessing the true level of damage or glaucomatousprogression.

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    Footnotes and Financial Disclosures

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