Detecting Secondary Caries Around Resin Composite Restorations
Author Information
Author(s): Aya Mohamed Adly, Shereen Hafez Ibrahim, Amira Farid El-Zoghbi
Primary Institution: Faculty of Dentistry, Cairo University, Egypt
Hypothesis
There are no differences in the sensitivity, specificity, and accuracy of both fluorescence-based devices as compared to the visual-tactile assessment method when used to detect secondary caries around the margins of resin composite restorations.
Conclusion
Both fluorescence-based devices and the visual-tactile method are reliable for detecting secondary caries around resin composite restorations.
Supporting Evidence
- DIAGNOdent pen showed the highest sensitivity (100%) followed by VistaCam (98.82%) and the visual-tactile method (98.82%) at the enamel threshold.
- DIAGNOdent pen and VistaCam had lower specificity values than the visual-tactile method.
- There was perfect agreement in inter-examiner reliability for all assessment methods (Kappa 0.858–0.992).
- Fluorescence-based devices could be used as a valuable aid to supplement or as a second opinion after the visual-tactile method.
Takeaway
This study looked at different ways to find cavities around dental fillings. It found that both new light devices and the traditional touch-and-look method work well.
Methodology
The study included 20 participants with 30 resin-composite restored teeth, evaluated using visual-tactile method, light-induced fluorescence camera, and laser-induced fluorescence device.
Potential Biases
The examiners were not blinded to the index assessment methods, which could introduce bias.
Limitations
The study was limited by the difficulty in creating a dry field for secondary caries detection and the potential impact of oral environmental factors on fluorescence-based devices.
Participant Demographics
The study included 20 participants, 13 females (65%) and 7 males (35%), with a total of 30 restored teeth.
Statistical Information
P-Value
0.0058
Confidence Interval
0.890–0.972
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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