Customized, automated stimulus location choice for assessment of visual field defects Chong, Luke X., McKendrick, Allison M., Ganeshrao, Shonraj B. and Turpin, Andrew 2014, Customized, automated stimulus location choice for assessment of visual field defects, Investigative ophthalmology and visual science, vol. 55, no. 5, pp. 3265-3274, doi: 10.1167/iovs.13-13761. Attached Files Name Description MIMEType Size Downloads Title Customized, automated stimulus location choice for assessment of visual field defects Author(s) Chong, Luke X. orcid.org/0000-0001-5694-4500 McKendrick, Allison M. Ganeshrao, Shonraj B. Turpin, Andrew Journal name Investigative ophthalmology and visual science Volume number 55 Issue number 5 Start page 3265 End page 3274 Total pages 10 Publisher Association for Research in Vision and Ophthalmology Place of publication Rockville, Md. Publication date 2014-05 ISSN 0146-0404 1552-5783 Keyword(s) algorithms computer simulation perimetry visual fields Automation Humans Reproducibility of Results Scotoma Sensory Thresholds Visual Field Tests Science & Technology Life Sciences & Biomedicine Ophthalmology FUNDUS-ORIENTED PERIMETRY HIGH-SPATIAL-RESOLUTION ADAPTIVE PROGRAM SAPRO LOCALLY CONDENSED GRIDS TEST-RETEST VARIABILITY NERVE-FIBER LAYER RELIABILITY INDEXES CLINICAL PERIMETRY THRESHOLD ESTIMATION COMPUTER-SIMULATION Summary PURPOSE: To introduce a perimetric algorithm (gradient-oriented automated natural neighbor approach [GOANNA]) that automatically chooses spatial test locations to improve characterization of visual field (VF) loss without increasing test times. METHODS: Computer simulations were undertaken to assess the performance of GOANNA. GOANNA was run on a 3° grid of 150 locations, and was compared with a zippy estimation by sequential testing (ZEST) thresholding strategy for locations in the 24-2 test pattern, with the remaining 98 locations being interpolated. Simulations were seeded using empirical data from 23 eyes with glaucoma that were measured at all 150 locations. The performance of the procedures was assessed by comparing the output thresholds to the input thresholds (accuracy and precision) and by evaluating the number of presentations required for the procedure to terminate (efficiency). RESULTS: When collated across whole-fields, there was no significant difference in accuracy, precision, or efficiency between GOANNA and ZEST. However, GOANNA targeted presentations on scotoma borders; hence it was more precise and accurate at locations where the sensitivity gradient within the VF was high. CONCLUSIONS: Compared with ZEST, GOANNA was marginally less precise in areas of the VF that had spatially uniform sensitivity, but improved accuracy and precision in regions surrounding scotoma edges. GOANNA provides a principled framework for automatic placement of additional test locations to provide spatially denser testing around the borders of VF loss. Language eng DOI 10.1167/iovs.13-13761 Indigenous content off Field of Research 11 Medical And Health Sciences 06 Biological Sciences HERDC Research category C1.1 Refereed article in a scholarly journal Copyright notice ©2014, The Association for Research in Vision and Ophthalmology Persistent URL http://hdl.handle.net/10536/DRO/DU:30110268 Document type: Journal Article Collections: Faculty of Health School of Medicine Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Mon, 09 Jul 2018, 12:05:36 EST Mon, 09 Jul 2018, 13:44:29 EST Mon, 09 Jul 2018, 13:58:19 EST Sat, 11 Aug 2018, 02:30:36 EST Fri, 17 Aug 2018, 06:09:32 EST Thu, 30 Aug 2018, 09:33:44 EST Thu, 30 Aug 2018, 09:36:38 EST Thu, 14 Nov 2019, 01:36:41 EST Sat, 25 Jul 2020, 02:33:25 EST Tue, 24 Nov 2020, 12:14:08 EST Sat, 27 Feb 2021, 04:35:44 EST Filtered Full Citation counts:   Cited 20 times in TR Web of Science Cited 20 times in Scopus Search Google Scholar Access Statistics: 255 Abstract Views, 1 File Downloads  -  Detailed Statistics Created: Mon, 09 Jul 2018, 12:05:36 EST

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