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• W2892007199 abstract "Purpose: To 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). Methods: Five 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. Results: The 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. Conclusions: A 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 Relevance: Pattern recognition–derived theme maps provide a means for guiding test point selection for asymmetry analysis in glaucoma assessment." @default.
• W2892007199 created "2018-09-27" @default.
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• W2892007199 creator A5082161166 @default.
• W2892007199 date "2018-09-04" @default.
• W2892007199 modified "2023-10-14" @default.
• W2892007199 title "Application of Pattern Recognition Analysis to Optimize Hemifield Asymmetry Patterns for Early Detection of Glaucoma" @default.
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• W2892007199 doi "https://doi.org/10.1167/tvst.7.5.3" @default.
• W2892007199 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6126954" @default.
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• W2892007199 hasPublicationYear "2018" @default.
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