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

Eun Soo Kim, Eun Song Lee, Si Mook Kang, Eun Ha Jung, Elbert de Josselin de Jong, Hoi In Jung, Baek Il Kim

Research output: Contribution to journalArticlepeer-review

23 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)257-262
Number of pages6
JournalPhotodiagnosis and Photodynamic Therapy
Publication statusPublished - 2017 Dec

Bibliographical note

Publisher Copyright:
© 2017 Elsevier B.V.

All Science Journal Classification (ASJC) codes

  • Biophysics
  • Oncology
  • Dermatology
  • Pharmacology (medical)


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