Imaging Science in Dentistry
- Volume 32 Issue 4
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- Pages.187-194
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- 2002
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- 2233-7822(pISSN)
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- 2233-7830(eISSN)
Computer-aided proximal caries diagnosis: correlation with clinical examination and histology
- Kang Byung-Cheol (Chonnam University, School of Dentistry) ;
- Scheetz James P (University of Louisville, School of Dentistry, Louisville) ;
- Farman Allan G (University of Louisville, School of Dentistry, Louisville)
- Published : 2002.12.01
Abstract
Purpose: To evaluate the performance of the LOGICON Caries Detector using RVG-4 and RVG-ui sensors, by comparing results of each detector to the results of clinical and histological examinations. Materials and Methods : Pairs of extracted teeth were radiographed, and a total of 57 proximal surfaces, which included both carious and non-carious situations, were analyzed. The RVG-4 produced 8-bit images, while the RVG-ui unit produced 12-bit images, which were taken in the high sensitivity mode. The images produced by the LOGICON were evaluated by a trained observer using both automated and manual caries detection software modes. Ground sections of the teeth established the actual absence or existence of caries. Results: LOGIC ON-aided caries detection and depth discrimination of the RVG-4 and RVG-ui sensors were equally inconsistent irrespective of whether the LOGIC ON software was set to the automated or manual mode. Sensitivity ranged from 50% to 57% for caries penetration of the enamel-dentin junction. Conclusion: Care needs to be taken when using LOGIC ON in conjunction with RVG images as an adjunct for treatment planning dental caries. Even when applied by a trained observer, substantial discrepancies exist between the results of the LOGIC ON software-guided evalutations using RVG images and histologic examination.