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Clinical Trial
. 2017 Dec:20:257-262.
doi: 10.1016/j.pdpdt.2017.10.009. Epub 2017 Oct 24.

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

Affiliations
Clinical Trial

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

Eun-Soo Kim et al. Photodiagnosis Photodyn Ther. 2017 Dec.

Abstract

Objectives: 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.

Keywords: Caries detection; Proximal caries; Quantitative light-induced fluorescence; Radiography; Red fluorescence; Screening.

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