Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/150572
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dc.contributor.authorTan, Colin Siang Huien_US
dc.contributor.authorTing, Dominic S.en_US
dc.contributor.authorLim, Louis W.en_US
dc.date.accessioned2021-06-14T08:09:00Z-
dc.date.available2021-06-14T08:09:00Z-
dc.date.issued2018-
dc.identifier.citationTan, C. S. H., Ting, D. S. & Lim, L. W. (2018). Multicolour imaging for the detection of polypoidal choroidal vasculopathy and age-related macular degeneration. Clinical & Experimental Ophthalmology, 47(5), 621-630. https://dx.doi.org/10.1111/ceo.13462en_US
dc.identifier.issn1442-6404en_US
dc.identifier.other0000-0003-3088-5690-
dc.identifier.urihttps://hdl.handle.net/10356/150572-
dc.description.abstractImportance: Multicolour is a new imaging technology and its sensitivity for detecting polypoidal choroidal vasculopathy (PCV) and age-related macular degeneration (AMD) has not been well described. Background: To evaluate the accuracy of multicolour imaging compared to colour fundus photography (CFP) in differentiating AMD and PCV from normal eyes, and in detecting PCV. Design: Prospective cohort study at a tertiary referral centre. Participants: Fifty consecutive patients with PCV or AMD. Methods: Standardized multimodal imaging, including CFP, multicolour imaging, and fluorescein and indocyanine green angiography, were graded by a Central Reading Center using standardized grading protocols. Main outcomes and measures: Sensitivity, specificity, positive and negative predictive values (PPV and NPV). Results: Of 100 eyes, 44 had PCV, 33 had AMD, and 23 were normal. Multicolour imaging had higher specificity (73.9% vs 52.2%) and NPV (94% vs 85.7%) compared to CFP for detecting all types of AMD. For the detection of PCV, multicolour had higher sensitivity (86.4% vs 59.1%) and NPV (89.3% vs 74.3%). Polypoidal lesions were detected in 39 of 44 eyes (88.6%) using multicolour imaging, while the branching vascular network (BVN) was detected in 16 of 44 eyes (36.4%). Using BVN as a parameter, infrared imaging specificity and PPV for detecting PCV were 96.6% and 88.9%, respectively. Conclusions: Multicolour imaging is superior to standard CFP in differentiating AMD and PCV from normal eyes, and in detecting features of PCV. Specific features seen on multicolour imaging can alert ophthalmologists to the likely presence of these diseases so that additional definitive investigations can be performed.en_US
dc.description.sponsorshipNational Medical Research Council (NMRC)en_US
dc.language.isoenen_US
dc.relationNMRC/CG/M012/2017en_US
dc.relationNMRC/TA/0039/2015en_US
dc.relation.ispartofClinical & Experimental Ophthalmologyen_US
dc.rights© 2018 Royal Australian and New Zealand College of Ophthalmologists. All rights reserved.en_US
dc.subjectScience::Medicineen_US
dc.titleMulticolour imaging for the detection of polypoidal choroidal vasculopathy and age-related macular degenerationen_US
dc.typeJournal Articleen
dc.contributor.schoolLee Kong Chian School of Medicine (LKCMedicine)en_US
dc.contributor.organizationNationalHealthcare Group Eye Instituteen_US
dc.contributor.organizationTanTock Seng Hospitalen_US
dc.contributor.organizationDuke-NUS Medical School,Singaporeen_US
dc.identifier.doi10.1111/ceo.13462-
dc.identifier.pmid30578655-
dc.identifier.scopus2-s2.0-85061612290-
dc.identifier.issue5en_US
dc.identifier.volume47en_US
dc.identifier.spage621en_US
dc.identifier.epage630en_US
dc.subject.keywordsAge-related Macular Degenerationen_US
dc.subject.keywordsFluorescein Angiographyen_US
dc.description.acknowledgementResearch administration support was provided by the National Medical Research Council Centre Grant at Tan Tock Seng Hospital (NMRC/CG/M012/2017). Dr Tan reports grants from National Medical ResearchCouncil (NMRC/TA/0039/2015), grants from NationalHealthcare Group, honoraria and non-financial support fromBayer, non-financial support from Heidelberg Engineering,honoraria and non-financial support from Novartis, outsidethe submitted work. Dr Louis Lim and Mr Dominic Tinghave no financial interests to declare.en_US
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item.grantfulltextnone-
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