The diagnostic efficacy of quantitative light-induced fluorescence in detection of dental caries of primary teeth

•The reliability of quantitative light-induced fluorescence for dental caries detection in primary teeth was similar to or slightly higher than that of the traditional diagnostic methods.•The results of ΔF (fluorescence loss) and ΔR (red fluorescence) were good for occlusal caries and proximal carie...

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Published in:Journal of dentistry 2021-12, Vol.115, p.103845-103845, Article 103845
Main Authors: Cho, Kyung Hyun, Kang, Chung-Min, Jung, Hoi-In, Lee, Hyo-Seol, Lee, Koeun, Lee, Tae Yang, Song, Je Seon
Format: Article
Language:English
Subjects:
Caries detection
Child
Dental caries
Dental Caries - diagnostic imaging
Dental Caries - pathology
Dental Caries Activity Tests - methods
Dental plaque
Dentin
Dentistry
Dentists
Diagnosis
Enamel
Evaluation
Fluorescence
Fluorescence imaging
Fluorescence loss
Humans
Inspection
Light
Parameter sensitivity
Patients
Pediatrics
Portable equipment
Primary teeth
Quantitative Light-Induced Fluorescence
Quantitative light-induced fluorescence (QLF) technology
Regression models
Reliability analysis
Reproducibility of Results
Software
Statistical analysis
Teeth
Tooth, Deciduous
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Summary:•The reliability of quantitative light-induced fluorescence for dental caries detection in primary teeth was similar to or slightly higher than that of the traditional diagnostic methods.•The results of ΔF (fluorescence loss) and ΔR (red fluorescence) were good for occlusal caries and proximal caries, respectively.•The QLF method can provide visual images as well as quantitatively analyze the carious lesion. To evaluate a quantitative light-induced fluorescence (QLF) caries detection method using a portable device under clinical conditions and present a QLF scoring index (QS-index) for primary teeth. A total of 878 tooth surfaces (proximal and occlusal) of 44 children were studied. After visual inspection and radiographic examination, images of dental caries captured with the QLF device were classified according to caries progression stages and analyzed with a specialized software. Cut-off values, sensitivity, specificity, and area under the receiver operating characteristic curve (AUROC) were calculated for the QLF parameters: fluorescence loss (ΔF) and bacterial activity (ΔR). The reliability of logistic regression model to combine ΔF and ΔR was evaluated by the AUROC. QLF parameters showed a good sensitivity (0.72–0.91), specificity (0.74–0.96), and AUROC (0.861–0.940). The AUROC of logistic regression model (0.90–0.957) was higher than ΔF or ΔR average alone in all types of carious lesions. Every level of the QS-index was properly defined to represent the progression of dental caries with corresponding statistical significance. The reliability of QLF for dental caries detection in primary teeth was similar to or slightly higher than that of the traditional diagnostic methods of visual inspection or radiographic examination in clinical conditions. The results of QLF were reliable in detecting all types of dental caries in primary teeth. The QLF method can provide visual images as well as quantitatively analyze the carious lesion.
ISSN:0300-5712
1879-176X
DOI:10.1016/j.jdent.2021.103845