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A new screening method to detect proximal dental caries using fluorescence imaging

DC FieldValueLanguage
dc.contributor.author김백일-
dc.contributor.author이은송-
dc.contributor.author정은하-
dc.contributor.author정회인-
dc.contributor.author강시묵-
dc.date.accessioned2018-07-20T08:36:41Z-
dc.date.available2018-07-20T08:36:41Z-
dc.date.issued2017-
dc.identifier.issn1572-1000-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/161320-
dc.description.abstractOBJECTIVES: This study aimed to assess the screening performance of the quantitative light-induced fluorescence (QLF) technology to detect proximal caries using both fluorescence loss and red fluorescence in a clinical situation. Moreover, a new simplified QLF score for the proximal caries (QS-Proximal) is proposed and its validity for detecting proximal caries was evaluated as well. METHODS: This clinical study included 280 proximal surfaces, which were assessed by visual-tactile and radiographic examinations and scored by each scoring system according to lesion severity. The occlusal QLF images were analysed in two different ways: (1) a quantitative analysis producing fluorescence loss (ΔF) and red fluorescence (ΔR) parameters; and (2) a new QLF scoring index. For both quantitative parameters and QS-Proximal, the sensitivity, specificity, and area under the receiver operating characteristic curve (AUROC) were calculated as a function of the radiographic scoring index at the enamel and dentine caries levels. RESULTS: Both ΔF and ΔR showed excellent AUROC values at the dentine caries level (ΔF=0.860, ΔR=0.902) whereas a relatively lower value was observed at the enamel caries level (ΔF=0.655, ΔR=0.686). The QS-Proximal also showed excellent AUROC ranged from 0.826 to 0.864 for detecting proximal caries at the dentine level. CONCLUSION: The QS-Proximal, which represents fluorescence changes, showed excellent performance in detecting proximal caries using the radiographic score as the gold standard.-
dc.description.statementOfResponsibilityrestriction-
dc.languageEnglish-
dc.publisherElsevier-
dc.relation.isPartOfPHOTODIAGNOSIS AND PHOTODYNAMIC THERAPY-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.titleA new screening method to detect proximal dental caries using fluorescence imaging-
dc.typeArticle-
dc.contributor.collegeCollege of Dentistry-
dc.contributor.departmentDept. of Preventive Dentistry-
dc.contributor.googleauthorEun-Soo Kim-
dc.contributor.googleauthorEun-Song Lee-
dc.contributor.googleauthorSi-Mook Kang-
dc.contributor.googleauthorEun-Ha Jung-
dc.contributor.googleauthorElbert de Josselin de Jong-
dc.contributor.googleauthorHoi-In Jung-
dc.contributor.googleauthorBaek-Il Kim-
dc.identifier.doi10.1016/j.pdpdt.2017.10.009-
dc.contributor.localIdA00485-
dc.contributor.localIdA04635-
dc.contributor.localIdA03691-
dc.contributor.localIdA03788-
dc.contributor.localIdA00049-
dc.relation.journalcodeJ02519-
dc.identifier.eissn1873-1597-
dc.identifier.pmid29079349-
dc.identifier.urlhttps://www.sciencedirect.com/science/article/pii/S1572100017303083-
dc.subject.keywordCaries detection-
dc.subject.keywordProximal caries-
dc.subject.keywordQuantitative light-induced fluorescence-
dc.subject.keywordRadiography-
dc.subject.keywordRed fluorescence-
dc.subject.keywordScreening-
dc.contributor.alternativeNameKim, Baek Il-
dc.contributor.alternativeNameLee, Eun Song-
dc.contributor.alternativeNameJung, Eun Ha-
dc.contributor.alternativeNameJung, Hoi In-
dc.contributor.affiliatedAuthorKim, Baek Il-
dc.contributor.affiliatedAuthorLee, Eun Song-
dc.contributor.affiliatedAuthorJung, Eun Ha-
dc.contributor.affiliatedAuthorJung, Hoi In-
dc.contributor.affiliatedAuthor정회인-
dc.citation.volume20-
dc.citation.startPage257-
dc.citation.endPage262-
dc.identifier.bibliographicCitationPHOTODIAGNOSIS AND PHOTODYNAMIC THERAPY, Vol.20 : 257-262, 2017-
Appears in Collections:
2. College of Dentistry (치과대학) > Dept. of Preventive Dentistry and Public Oral Health (예방치과학교실) > 1. Journal Papers

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