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dc.contributor.authorIain A. Prettyen_US
dc.contributor.authorMichael McGradyen_US
dc.contributor.authorChristian Zakianen_US
dc.contributor.authorRoger P. Ellwooden_US
dc.contributor.authorAndrew Tayloren_US
dc.contributor.authorMohammed Owaise Sharifen_US
dc.contributor.authorTimothy Iafollaen_US
dc.contributor.authorE. Angeles Martinez-Mieren_US
dc.contributor.authorPatcharawan Srisilapananen_US
dc.contributor.authorNarumanas Korwanichen_US
dc.contributor.authorMichaela Goodwinen_US
dc.contributor.authorBruce A. Dyeen_US
dc.date.accessioned2018-09-04T06:11:19Z-
dc.date.available2018-09-04T06:11:19Z-
dc.date.issued2012-05-21en_US
dc.identifier.issn14712458en_US
dc.identifier.other2-s2.0-84861117547en_US
dc.identifier.other10.1186/1471-2458-12-366en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84861117547&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/51895-
dc.description.abstractBackground: To determine if a novel dual camera imaging system employing both polarized white light (PWL) and quantitative light induced fluorescence imaging (QLF) is appropriate for measuring enamel fluorosis in an epidemiological setting. The use of remote and objective scoring systems is of importance in fluorosis assessments due to the potential risk of examiner bias using clinical methods. Methods. Subjects were recruited from a panel previously characterized for fluorosis and caries to ensure a range of fluorosis presentation. A total of 164 children, aged 11years (±1.3) participated following consent. Each child was examined using the novel imaging system, a traditional digital SLR camera, and clinically using the Deans and Thylstrup and Fejerskov (TF) Indices on the upper central and lateral incisors. Polarized white light and SLR images were scored for both Deans and TF indices by raters and fluorescence images were automatically scored using software. Results: Data from 164 children were available with a good distribution of fluorosis severity. The automated software analysis of QLF images demonstrated significant correlations with the clinical examinations for both Deans and TF index. Agreement (measured by weighted Kappas) between examiners scoring clinically, from polarized photographs and from SLR images ranged from 0.56 to 0.92. Conclusions: The study suggests that the use of a digital imaging system to capture images for either automated software analysis, or remote assessment by raters is suitable for epidemiological work. The use of recorded images enables study archiving, assessment by multiple examiners, remote assessment and objectivity due to the blinding of subject status. © 2012 Pretty et al.; licensee BioMed Central Ltd.en_US
dc.subjectMedicineen_US
dc.titleQuantitative Light Fluorescence (QLF) and Polarized White Light (PWL) assessments of dental fluorosis in an epidemiological settingen_US
dc.typeJournalen_US
article.title.sourcetitleBMC Public Healthen_US
article.volume12en_US
article.stream.affiliationsDental Health Uniten_US
article.stream.affiliationsUniversity of Manchesteren_US
article.stream.affiliationsNational Center for Health Statisticsen_US
article.stream.affiliationsNational Institute of Dental and Craniofacial Researchen_US
article.stream.affiliationsIndiana University School of Dentistryen_US
article.stream.affiliationsChiang Mai Universityen_US
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