Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/100932
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dc.contributorSchool of Optometryen_US
dc.creatorLam, AKCen_US
dc.creatorLai, HCen_US
dc.creatorSung, YKen_US
dc.creatorLam, WHen_US
dc.creatorTiu, CMen_US
dc.date.accessioned2023-08-15T07:33:21Z-
dc.date.available2023-08-15T07:33:21Z-
dc.identifier.urihttp://hdl.handle.net/10397/100932-
dc.language.isoenen_US
dc.publisherNature Publishing Groupen_US
dc.rightsThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.en_US
dc.rights© The Author(s) 2023en_US
dc.rightsThe following publication Lam, A.K.C., Lai, H.C., Sung, Y.K. et al. Performance of neuroretinal rim thickness measurement by Cirrus high-definition optical coherence tomography in myopic eyes. Sci Rep 13, 12714 (2023) is available at https://doi.org/10.1038/s41598-023-39701-6en_US
dc.titlePerformance of neuroretinal rim thickness measurement by Cirrus high-definition optical coherence tomography in myopic eyesen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume13en_US
dc.identifier.doi10.1038/s41598-023-39701-6en_US
dcterms.abstractNeuroretinal rim (NRR) measurement can aid the diagnosis of glaucoma. A few studies reported that Cirrus optical coherence tomography (OCT) had NRR segmentation errors. The current study investigated segmentation success of NRR in myopic eyes using the Cirrus built-in software and to determine the number of acquisitions required to identify NRR thinning. Right eye of 87 healthy adult myopes had an optic disc scanned using Cirrus HD-OCT for five successive acquisitions. A masked examiner evaluated 36 radial line images of each scan to screen for segmentation errors using the built-in software at the Bruch’s membrane opening (BMO) and/or internal limiting membrane (ILM). Participants with three accurate NRR acquisitions had their average NRR thickness determined. This result was compared with average of the two acquisitions and the first acquisition. Among 435 OCT scans of the optic disc (87 eyes × 5 acquisitions), 129 (29.7%) scans had segmentation errors that occurred mainly at the ILM. The inferior-temporal and superior meridians had slightly more segmentation errors than other meridians, independent of axial length, amount of myopia, or presence of peripapillary atrophy. Sixty-five eyes (74.7%) had at least three accurate NRR measurements. The three acquisitions had high reliability in NRR thickness in the four quadrants (intraclass correlation coefficient > 0.990, coefficient of variation < 3.9%). NRR difference between the first acquisition and the average of three acquisitions was small (mean difference 2 ± 13 μm, 95% limits of agreement within ± 30 μm) among the four quadrants. Segmentation errors in NRR measurements appeared regardless of axial length, amount of myopia, or presence of peripapillary atrophy. Cirrus segmentation lines should be manually inspected when measuring NRR thickness.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationScientific reports, 5 Aug. 2023, v. 13, 12714en_US
dcterms.isPartOfScientific reportsen_US
dcterms.issued2023-08-05-
dc.identifier.eissn2045-2322en_US
dc.identifier.artn12714en_US
dc.description.validate202308 bcchen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumbera2362-
dc.identifier.SubFormID47575-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextInnoHK initiative and the Hong Kong Special Administrative Region Governmenten_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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