| 1710 Development of Objective Measures for Dental Fluorosis: Correlation of Methods | ||
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H. EGGERTSSON1, A.E. SOTO-ROJAS2, V.E. MATTHEWS1, W.G. INGRAM1, I.A. PRETTY3, R. ELLWOOD4, and E.A. MARTINEZ-MIER1, 1Indiana University School of Dentistry, Indianapolis, USA, 2Indiana University, Indianapolis, USA, 3Dental Health Unit, Manchester, England, Uk, 4Colgate Palmolive Company / England, Manchester, England, Uk Objectives: The purpose of this in-vitro study was to test three different fluorescent imaging methods, using two programs for analysis of images, and their correlation with visual scoring of sound, carious and fluorosis teeth. Methods: Images were taken in-vitro of 25 extracted permanent molar and premolar teeth, using three different light fluorescent methods. One was a novel method (NM) composed of a digital camera fitted with blue light and filter (Pretty et al., Caries Res 2006;40:426-34), a QLF method (Inspektor Research Systems, Netherlands), and a commercially available QLF pro (Omnii Pharmaceuticals, USA). The images were analyzed using QLF program (Inspektor Research Systems, Netherlands), and a novel software program (Pretty et al., Caries Res 2006;40:426-34). The teeth were assessed visually as sound, carious (white spot lesions), and having fluorosis lesions of TSIF 1, 2 or 3. Correlations were compared between the results of the analyses with the visual assessment of the sound, carious and fluorosis teeth. Results: Of the 25 teeth, 5 were sound, 9 had caries, and 11 had fluorosis lesions. Correlation between the visual assessment and NM, QLF, QLF pro was 0.69, 0.65, and 0.70, respectively, using the novel software program, and 0.64, 0.51, and 0.64, respectively, using the QLF software. Statistically significant differences were found between the caries and fluorosis teeth using the NM method and either the novel software (p=0.0476) or QLF software (p=0.0241), while the difference was only statistically significant for QLF pro using the QLF software (p=0.0168), and for the QLF using the novel software (p=0.0421). Conclusions: All three methods showed moderate correlation between the image analysis and visual assessment of sound, carious and fluorosis teeth, while using the novel software program showed slightly higher correlation than the QLF software. Quantifying fluorescent images showed promise for differentiating between carious and fluorosis teeth. Supported by NIH1R21DE16034-01A. | ||
| Seq #194 - Caries Diagnostic, Lasers, Fluorosis 2:00 PM-3:15 PM, Friday, March 23, 2007 Ernest N. Morial Convention Center Exhibit Hall I2-J | ||
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