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Improving Spatial Resolution and Test Times of Visual Field Testing Using ARREST

PURPOSE: Correctly classifying progression in moderate to advanced glaucoma is difficult. Pointwise visual field test–retest variability is high for sensitivities below approximately 20 dB; hence, reliably detecting progression requires many test repeats. We developed a testing approach that does no...

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Autores principales: Turpin, Andrew, Morgan, William H., McKendrick, Allison M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6213773/
https://www.ncbi.nlm.nih.gov/pubmed/30402342
http://dx.doi.org/10.1167/tvst.7.5.35
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author Turpin, Andrew
Morgan, William H.
McKendrick, Allison M.
author_facet Turpin, Andrew
Morgan, William H.
McKendrick, Allison M.
author_sort Turpin, Andrew
collection PubMed
description PURPOSE: Correctly classifying progression in moderate to advanced glaucoma is difficult. Pointwise visual field test–retest variability is high for sensitivities below approximately 20 dB; hence, reliably detecting progression requires many test repeats. We developed a testing approach that does not attempt to threshold accurately in areas with high variability, but instead expends presentations increasing spatial fidelity. METHODS: Our visual field procedure Australian Reduced Range Extended Spatial Test (ARREST; a variant of the Bayesian procedure Zippy Estimation by Sequential Testing [ZEST]) applies the following approach: once a location has an estimated sensitivity of <17 dB (a “defect”), it is checked that it is not an absolute defect (<0 dB, “blind”). Saved presentations are used to test extra locations that are located near the defect. Visual field deterioration events are either: (1) decreasing in the range of 40 to 17 dB, (2) decreasing from >17 dB to “defect”, or (3) “defect” to blind. To test this approach we used an empirical database of progressing moderate-advanced 24-2 visual fields (121 eyes) that we “reverse engineered” to create visual field series that progressed from normal to the end observed field. ARREST and ZEST were run on these fields with test accuracy, presentation time, and ability to detect progression compared. RESULTS: With specificity for detecting progression matched at 95%, ZEST and ARREST showed similar sensitivity for detecting progression. However, ARREST used approximately 25% to 40% fewer test presentations to achieve this result in advanced visual field damage. ARREST spatially defined the visual field deficit with greater precision than ZEST due to the addition of non–24-2 locations. CONCLUSIONS: Spending time trying to accurately measure visual field locations that have high variability is not productive. Our simulations indicate that giving up attempting to quantify size III white-on-white sensitivities below 17 dB and using the presentations saved to test extra locations should better describe progression in moderate-to-advanced glaucoma in shorter time. TRANSLATIONAL RELEVANCE: ARREST is a new visual field test algorithm that provides better spatial definition of visual field defects in faster test time than current procedures. This outcome is achieved by substituting inaccurate quantification of sensitivities <17 dB with new spatial locations.
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spelling pubmed-62137732018-11-06 Improving Spatial Resolution and Test Times of Visual Field Testing Using ARREST Turpin, Andrew Morgan, William H. McKendrick, Allison M. Transl Vis Sci Technol Articles PURPOSE: Correctly classifying progression in moderate to advanced glaucoma is difficult. Pointwise visual field test–retest variability is high for sensitivities below approximately 20 dB; hence, reliably detecting progression requires many test repeats. We developed a testing approach that does not attempt to threshold accurately in areas with high variability, but instead expends presentations increasing spatial fidelity. METHODS: Our visual field procedure Australian Reduced Range Extended Spatial Test (ARREST; a variant of the Bayesian procedure Zippy Estimation by Sequential Testing [ZEST]) applies the following approach: once a location has an estimated sensitivity of <17 dB (a “defect”), it is checked that it is not an absolute defect (<0 dB, “blind”). Saved presentations are used to test extra locations that are located near the defect. Visual field deterioration events are either: (1) decreasing in the range of 40 to 17 dB, (2) decreasing from >17 dB to “defect”, or (3) “defect” to blind. To test this approach we used an empirical database of progressing moderate-advanced 24-2 visual fields (121 eyes) that we “reverse engineered” to create visual field series that progressed from normal to the end observed field. ARREST and ZEST were run on these fields with test accuracy, presentation time, and ability to detect progression compared. RESULTS: With specificity for detecting progression matched at 95%, ZEST and ARREST showed similar sensitivity for detecting progression. However, ARREST used approximately 25% to 40% fewer test presentations to achieve this result in advanced visual field damage. ARREST spatially defined the visual field deficit with greater precision than ZEST due to the addition of non–24-2 locations. CONCLUSIONS: Spending time trying to accurately measure visual field locations that have high variability is not productive. Our simulations indicate that giving up attempting to quantify size III white-on-white sensitivities below 17 dB and using the presentations saved to test extra locations should better describe progression in moderate-to-advanced glaucoma in shorter time. TRANSLATIONAL RELEVANCE: ARREST is a new visual field test algorithm that provides better spatial definition of visual field defects in faster test time than current procedures. This outcome is achieved by substituting inaccurate quantification of sensitivities <17 dB with new spatial locations. The Association for Research in Vision and Ophthalmology 2018-10-31 /pmc/articles/PMC6213773/ /pubmed/30402342 http://dx.doi.org/10.1167/tvst.7.5.35 Text en Copyright 2018 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
spellingShingle Articles
Turpin, Andrew
Morgan, William H.
McKendrick, Allison M.
Improving Spatial Resolution and Test Times of Visual Field Testing Using ARREST
title Improving Spatial Resolution and Test Times of Visual Field Testing Using ARREST
title_full Improving Spatial Resolution and Test Times of Visual Field Testing Using ARREST
title_fullStr Improving Spatial Resolution and Test Times of Visual Field Testing Using ARREST
title_full_unstemmed Improving Spatial Resolution and Test Times of Visual Field Testing Using ARREST
title_short Improving Spatial Resolution and Test Times of Visual Field Testing Using ARREST
title_sort improving spatial resolution and test times of visual field testing using arrest
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6213773/
https://www.ncbi.nlm.nih.gov/pubmed/30402342
http://dx.doi.org/10.1167/tvst.7.5.35
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