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, Baekil Kim

Research output: Contribution to journalArticle

6 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)257-262
Number of pages6
JournalPhotodiagnosis and Photodynamic Therapy
Volume20
DOIs
Publication statusPublished - 2017 Dec 1

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Optical Imaging
Dental Caries
Fluorescence
Dentin
ROC Curve
Light
Dental Enamel
Touch
Technology
Sensitivity and Specificity

All Science Journal Classification (ASJC) codes

  • Biophysics
  • Oncology
  • Dermatology
  • Pharmacology (medical)

Cite this

Kim, Eun Soo ; Lee, Eun Song ; Kang, Si Mook ; Jung, Eun Ha ; de Josselin de Jong, Elbert ; Jung, Hoi In ; Kim, Baekil. / A new screening method to detect proximal dental caries using fluorescence imaging. In: Photodiagnosis and Photodynamic Therapy. 2017 ; Vol. 20. pp. 257-262.
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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.",
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A new screening method to detect proximal dental caries using fluorescence imaging. / Kim, Eun Soo; Lee, Eun Song; Kang, Si Mook; Jung, Eun Ha; de Josselin de Jong, Elbert; Jung, Hoi In; Kim, Baekil.

In: Photodiagnosis and Photodynamic Therapy, Vol. 20, 01.12.2017, p. 257-262.

Research output: Contribution to journalArticle

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T1 - A new screening method to detect proximal dental caries using fluorescence imaging

AU - Kim, Eun Soo

AU - Lee, Eun Song

AU - Kang, Si Mook

AU - Jung, Eun Ha

AU - de Josselin de Jong, Elbert

AU - Jung, Hoi In

AU - Kim, Baekil

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N2 - 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.

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