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dc.contributor.authorVirgili, Gianni
dc.contributor.authorMichelessi, Manuele
dc.contributor.authorCook, Jonathan
dc.contributor.authorBoachie, Charles
dc.contributor.authorBurr, Jennifer
dc.contributor.authorBanister, Katie
dc.contributor.authorGarway-Heath, David F.
dc.contributor.authorBourne, Rupert R. A.
dc.contributor.authorAsorey Garcia, Almudena
dc.contributor.authorRamsay, Craig R.
dc.contributor.authorAzuara-Blanco, Augusto
dc.date.accessioned2018-05-23T14:30:09Z
dc.date.available2018-05-23T14:30:09Z
dc.date.issued2018-05
dc.identifier.citationVirgili , G , Michelessi , M , Cook , J , Boachie , C , Burr , J , Banister , K , Garway-Heath , D F , Bourne , R R A , Asorey Garcia , A , Ramsay , C R & Azuara-Blanco , A 2018 , ' Diagnostic accuracy of optical coherence tomography for diagnosing glaucoma : secondary analyses of the GATE study ' British Journal of Ophthalmology , vol. 102 , no. 5 , pp. 604-610 . https://doi.org/10.1136/bjophthalmol-2017-310642en
dc.identifier.issn0007-1161
dc.identifier.otherPURE: 253086668
dc.identifier.otherPURE UUID: f0109a1f-5cb8-4031-ad51-b07602cfd870
dc.identifier.otherWOS: 000430439800005
dc.identifier.otherScopus: 85046361142
dc.identifier.otherORCID: /0000-0002-9478-738X/work/60196206
dc.identifier.otherWOS: 000430439800005
dc.identifier.urihttp://hdl.handle.net/10023/13499
dc.descriptionThe GATE study was funded by the National Institute of Health Research HTA programme (09/22/111).en
dc.description.abstractBackground/Aims: To assess the diagnostic performance of retinal nerve fibre layer (RNFL) data of optical coherence tomography (OCT) for detecting glaucoma. Methods: Secondary analyses of a prospective, multicentre diagnostic study (Glaucoma Automated Tests Evaluation (GATE)) referred to hospital eye services in the UK were conducted. We included data from 899 of 966 participants referred to hospital eye services with suspected glaucoma or ocular hypertension. We used both eyes' data and logistic regression-based receiver operator characteristics analysis to build a set of models to measure the sensitivity and specificity of the average and inferior quadrant RNFL thickness data of OCT. The reference standard was expert clinician examination including automated perimetry. The main outcome measures were sensitivity at 0.95 specificity and specificity at 0.95 sensitivity and the corresponding RNFL thickness thresholds. We explored the possibility of accuracy improvement by adding measures of within-eye and between-eye variation, scan quality, intraocular pressure (IOP) and age. Results: Glaucoma was diagnosed in at least one eye in 17% of participants. Areas under the curve were between 0.83 and 0.88. When specificity was fixed at 0.95, the sensitivity was between 0.38 and 0.55, and the highest values were reached with models including the inferior quadrant rather than the average RNFL thickness. Fixing sensitivity at 0.95, the specificity was between 0.36 and 0.58. The addition of age, refractive error, IOP or within-subject variation did not improve the accuracy. Conclusion: RNFL thickness data of OCT can be used as a diagnostic test, but accuracy estimates remain moderate even in exploratory multivariable modelling of aiming to improve accuracy.
dc.format.extent7
dc.language.isoeng
dc.relation.ispartofBritish Journal of Ophthalmologyen
dc.rights© 2018, the Author(s). This work has been made available online in accordance with the publisher’s policies. This is the author created, accepted version manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at https://doi.org/10.1136/bjophthalmol-2017-310642en
dc.subjectRE Ophthalmologyen
dc.subjectNDASen
dc.subject.lccREen
dc.titleDiagnostic accuracy of optical coherence tomography for diagnosing glaucoma : secondary analyses of the GATE studyen
dc.typeJournal articleen
dc.description.versionPostprinten
dc.contributor.institutionUniversity of St Andrews.School of Medicineen
dc.contributor.institutionUniversity of St Andrews.Population and Behavioural Science Divisionen
dc.identifier.doihttps://doi.org/10.1136/bjophthalmol-2017-310642
dc.description.statusPeer revieweden
dc.identifier.urlhttp://eprints.gla.ac.uk/147705/en


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