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Can we trust visual methods alone for detecting caries in teeth?
Eileen R Hoskin1, Analia Veitz Keenan2
1Rutgers School of Medicine, New Jersey, USA.
Evidence-Based Dentistry
|June 25, 2016
Summary
Visual inspection effectively detects dental caries, especially in clinical settings. Using validated scoring systems improves accuracy, despite study heterogeneity and potential bias in caries detection research.
Area of Science:
- Dentistry
- Diagnostic Accuracy
- Caries Detection
Background:
- Accurate detection of coronal caries lesions is crucial for timely dental treatment.
- Visual inspection is a common method for caries detection, but its diagnostic performance varies.
- Systematic reviews are needed to synthesize evidence on the accuracy of visual caries detection.
Purpose of the Study:
- To systematically evaluate the diagnostic accuracy of visual inspection for detecting primary coronal caries lesions.
- To assess factors influencing the accuracy of visual caries detection, including setting, tooth type, and lesion location.
- To identify the impact of using validated visual scoring systems on detection accuracy.
Main Methods:
- A systematic review and meta-analysis of studies using visual inspection for caries detection was conducted.
- Databases searched included PubMed, Embase, and Scopus, with a focus on studies published between 2003-2014.
- Studies were included if they reported true positives, false positives, true negatives, and false negatives, with histologic evaluation, operative intervention, or radiography as reference standards.
Main Results:
- The meta-analysis included 102 manuscripts, demonstrating good overall accuracy for visual caries detection.
- Pooled specificity was generally high (>0.90), particularly in clinical settings, while pooled sensitivity varied (0.274–0.77).
- Studies using well-established visual scoring systems showed significantly higher accuracy than those using self-developed criteria.
Conclusions:
- Visual inspection is a reliable method for detecting coronal caries lesions, with good overall performance.
- High heterogeneity and risk of bias were noted across the included studies.
- The use of detailed, validated visual indices appears to enhance the accuracy of caries detection.
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