Evaluation of tooth wear by estimating enamel thickness with quantitative light-induced fluorescence technology

Sang Kyeom Kim, Seok Woo Park, Hyung Suk Lee, Eun Song Lee, Elbert de Josselin de Jong, Baek Il Kim

Research output: Contribution to journalArticle

1 Citation (Scopus)


Background: Various techniques have been suggested to quantitatively assess tooth wear; most have limited clinical application. The first aim of this in vitro study was to estimate the residual enamel thickness of teeth with various degrees of occlusal wear using quantitative light-induced fluorescence (QLF). The second aim was to identify relationships between the fluorescence parameters of QLF and the conventional tooth wear index (TWI) system. Methods: Sixty-nine extracted permanent premolars and molars with initial stages of tooth wear (TWI score 1a-2: enamel wear to dentin exposure) were used. Two blinded and trained examiners participated in evaluation procedures. Occlusal QLF-digital (QLF-D) images were acquired for selecting area of interest (AOI) and calculating fluorescence for occlusal tooth wear (ΔF wear ) of the AOI by the first examiner. Each specimen was cross-sectioned in the buccal-lingual direction. Enamel thickness from images obtained by stereomicroscopy and TWI of each sample was determined by the second examiner. Spearman correlation was used to determine the relationship of ΔF wear with enamel thickness and TWI. ΔF wear values were compared between histological scores with the Mann-Whitney U test. Results: Seventy-six AOIs were analyzed. As enamel thickness decreased, ΔF wear values significantly increased and strongly correlated with enamel thickness (Spearman rho = -0.825, P < 0.001). There were significant differences in ΔF wear values among TWI scores (P < 0.001); ΔF wear strongly correlated with TWI (Spearman rho = 0.753, P < 0.001). Conclusions: ΔF wear values, which denote fluorescence difference by using QLF, showed a strong correlation with residual enamel thickness and tooth wear severity.

Original languageEnglish
Pages (from-to)319-324
Number of pages6
JournalPhotodiagnosis and Photodynamic Therapy
Publication statusPublished - 2019 Mar

All Science Journal Classification (ASJC) codes

  • Biophysics
  • Oncology
  • Dermatology
  • Pharmacology (medical)

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