{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,28]],"date-time":"2026-06-28T07:41:16Z","timestamp":1782632476034,"version":"3.54.5"},"reference-count":91,"publisher":"Springer Science and Business Media LLC","issue":"7","license":[{"start":{"date-parts":[[2024,7,26]],"date-time":"2024-07-26T00:00:00Z","timestamp":1721952000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100000925","name":"National Health and Medical Research Council","doi-asserted-by":"publisher","award":["1186915"],"award-info":[{"award-number":["1186915"]}],"id":[{"id":"10.13039\/501100000925","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Ophthalmic Physiologic Optic"],"published-print":{"date-parts":[[2024,11]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>To utilise ganglion cell\u2010inner plexiform layer (GCIPL) measurements acquired using widefield optical coherence tomography (OCT) scans spanning 55\u00b0\u2009\u00d7\u200945\u00b0 to explore the link between co\u2010localised structural parameters and clinical visual field (VF) data.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Widefield OCT scans acquired from 311 healthy, 268 glaucoma suspect and 269 glaucoma eyes were segmented to generate GCIPL thickness measurements. Estimated ganglion cell (GC) counts, calculated from GCIPL measurements, were plotted against 24\u20102 SITA Faster visual field (VF) thresholds, and regression models were computed with data categorised by diagnosis and VF status. Classification of locations as VF defective or non\u2010defective using GCIPL parameters computed across eccentricity\u2010 and hemifield\u2010dependent clusters was assessed by analysing areas under receiver operating characteristic curves (AUROCCs). Sensitivities and specificities were calculated per diagnostic category.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Segmented linear regression models between GC counts and VF thresholds demonstrated higher variability in VF defective locations relative to non\u2010defective locations (mean absolute error 6.10\u20139.93\u2009dB and 1.43\u20131.91\u2009dB, respectively). AUROCCs from cluster\u2010wide GCIPL parameters were similar across methods centrally (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.06\u20130.84) but significantly greater peripherally, especially when considering classification of more central locations (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.0001). Across diagnoses, cluster\u2010wide GCIPL parameters demonstrated variable sensitivities and specificities (0.36\u20130.93 and 0.65\u20130.98, respectively), with the highest specificities observed across healthy eyes (0.73\u20130.98).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Quantitative prediction of VF thresholds from widefield OCT is affected by high variability at VF defective locations. Prediction of VF status based on cluster\u2010wide GCIPL parameters from widefield OCT could become useful to aid clinical decision\u2010making in appropriately targeting VF assessments.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/opo.13368","type":"journal-article","created":{"date-parts":[[2024,7,26]],"date-time":"2024-07-26T08:05:29Z","timestamp":1721981129000},"page":"1484-1499","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Exploring the relationship between 24\u20102 visual field and widefield optical coherence tomography data across healthy, glaucoma suspect and glaucoma eyes"],"prefix":"10.1007","volume":"44","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4268-5138","authenticated-orcid":false,"given":"Janelle","family":"Tong","sequence":"first","affiliation":[{"name":"Centre for Eye Health University of New South Wales  Sydney New South Wales Australia"},{"name":"School of Optometry and 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