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A new screening method to detect proximal dental caries using fluorescence imaging
Institution:1. Department of Preventive Dentistry & Public Oral Health, BK21 PLUS Project, Yonsei University College of Dentistry, Seoul, Republic of Korea;2. Department of Health Services Research, University of Liverpool, Liverpool, United Kingdom;3. Inspektor Research Systems BV, Amsterdam, The Netherlands;4. Oral Science Research Institute, Yonsei University College of Dentistry, Seoul, Republic of Korea;1. Department of Health Services Research and School of Dentistry, University of Liverpool, Research Wing, Daulby Street, Liverpool L69 3GN, United Kingdom;2. Department of Molecular and Clinical Cancer Medicine and School of Dentistry, University of Liverpool, Research Wing, Daulby Street, Liverpool L69 3GN, United Kingdom;1. Department of Dental Hygiene, Suwon Science College, Gyeonggi-do, Republic of Korea;2. Department of Preventive Dentistry & Public Oral Health, BK21 PLUS Project, Yonsei University College of Dentistry, Seoul, Republic of Korea;3. Department of Health Services Research, University of Liverpool, Liverpool, United Kingdom;4. Inspektor Research Systems BV, Amsterdam, The Netherlands;1. Department of Dental Hygiene, College of Health Sciences, Cheongju University, Cheongju, South Korea;2. Department of Preventive Dentistry, Iwate Medical University School of Dentistry, Morioka, Japan;3. Department of Preventive Dentistry & Public Oral Health, BK21 PLUS Project, Oral Science Research Institute, Yonsei University College of Dentistry, Seoul, South Korea;4. Department of Orofacial Pain & Oral Medicine, Yonsei University College of Dentistry, South Korea;1. Department of Preventive Dentistry & Public Oral Health, Brain Korea 21 PLUS Project, Yonsei University College of Dentistry, Seoul, Republic of Korea;2. Department of Dental Hygiene, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea;3. Department of Preventive Dentistry & Public Oral Health, Oral Science Research Center, Brain Korea 21 PLUS Project, Yonsei University College of Dentistry, Seoul, Republic of Korea;1. Department of Preventive Dentistry & Public Oral Health, Oral Science Research Institute, Brain Korea 21 PLUS Project, Yonsei University, College of Dentistry, 50 Yonsei-ro, Seodaemun-Gu, Seoul 120-749, Republic of Korea;2. Department of Dental Hygiene, College of Health Science, Gachon University, Incheon, Republic of Korea
Abstract:ObjectivesThis 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.MethodsThis 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.ResultsBoth 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.ConclusionThe QS-Proximal, which represents fluorescence changes, showed excellent performance in detecting proximal caries using the radiographic score as the gold standard.
Keywords:Caries detection  Proximal caries  Quantitative light-induced fluorescence  Red fluorescence  Radiography  Screening
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