Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/92688
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dc.contributorSchool of Optometryen_US
dc.creatorZhao, Men_US
dc.creatorAlonso-Caneiro, Den_US
dc.creatorLee, Ren_US
dc.creatorCheong, AMYen_US
dc.creatorYu, WYen_US
dc.creatorWong, HYen_US
dc.creatorLam, AKCen_US
dc.date.accessioned2022-05-11T06:23:32Z-
dc.date.available2022-05-11T06:23:32Z-
dc.identifier.issn1040-5488en_US
dc.identifier.urihttp://hdl.handle.net/10397/92688-
dc.language.isoenen_US
dc.publisherLippincott Williams & Wilkinsen_US
dc.rightsCopyright © 2020 American Academy of Optometryen_US
dc.rightsThis is the accepted version of an article published by Lippincott Williams & Wilkins in Optometry and Vision Science. To access the final edited and published work see https://doi.org/10.1097/OPX.0000000000001473en_US
dc.titleComparison of choroidal thickness measurements using semiautomated and manual segmentation methodsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage121en_US
dc.identifier.epage127en_US
dc.identifier.volume97en_US
dc.identifier.issue2en_US
dc.identifier.doi10.1097/OPX.0000000000001473en_US
dcterms.abstractSIGNIFICANCE This study demonstrated that a semiautomated segmentation method could help inexperienced practitioners to obtain choroidal thickness as good as experienced practitioners.en_US
dcterms.abstractPURPOSE The purpose of this study was to compare choroidal thickness measurements obtained by semiautomated and manual segmentation methods.en_US
dcterms.abstractMETHODS Optical coherence tomography images of 37 eyes from 37 healthy young subjects acquired by a spectral-domain optical coherence tomography device were reviewed retrospectively. Two naive examiners measured choroidal thickness using manual and semiautomated methods, whereas two experienced examiners used only the semiautomated method. The semiautomated method referred to a fully automated segmentation program customized based on MATLAB and followed manual verification. After highlighting the inner and outer choroidal boundaries through automated segmentation, examiners reviewed these boundaries in each B-scan and conducted manual revisions if segmentation errors occurred. After selecting points where correct boundary was located, the software used a spline fit to blend the corrected region with the rest of the boundary. All measurements were summarized in a 6-mm Early Treatment Diabetic Retinopathy Study grid. Operation time spent to complete retinal and choroidal segmentation on each eye was recorded. Between-examiner agreements, that is, intraclass correlation coefficient and coefficient of reproducibility (CoR), were calculated among four sets of semiautomated measurements, and within-examiner agreements were comparisons between manual and semiautomated results from the same naive examiners. Eyes with thin or thick choroids were also analyzed separately.en_US
dcterms.abstractRESULTS The between-examiner and within-examiner agreements were excellent with intraclass correlation coefficient of 0.976 or greater. Pairwise within-examiner CoRs ranged from 17.4 to 47.1 μm. Pairwise between-examiner CoRs were between 13.0 and 38.9 μm. Eyes with thin choroid had better agreements than those with thick choroids. On average, naive examiners saved 3 to 5 minutes per eye using the semiautomated method.en_US
dcterms.abstractCONCLUSIONS With the help of a dedicated software, inexperienced practitioners could obtain choroidal thickness measurements with accuracy similar to experienced practitioners. Processing time with the semiautomated method was also reduced.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationOptometry and vision science, Feb. 2020, v. 97, no. 2, p. 121-127en_US
dcterms.isPartOfOptometry and vision scienceen_US
dcterms.issued2020-02-
dc.identifier.scopus2-s2.0-85078851914-
dc.identifier.pmid32011585-
dc.identifier.eissn1538-9235en_US
dc.description.validate202205 bcfcen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberSO-0045-
dc.description.fundingSourceSelf-fundeden_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS19579106-
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