Computer-aided proximal caries diagnosis: correlation with clinical examination and histologys.
- Author:
Byung Cheol KANG
1
;
James P SCHEETZ
;
Allan G FARMAN
Author Information
1. University of Louisville, School of Dentistry, Louisville, Kentucky 40292, USA.
- Publication Type:Original Article
- Keywords:
dental caries;
diagnosis;
computer-assisted
- MeSH:
Dental Caries;
Diagnosis*;
Discrimination (Psychology);
Tooth
- From:Korean Journal of Oral and Maxillofacial Radiology
2002;32(4):187-194
- CountryRepublic of Korea
- Language:English
-
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: LOGICON-aided caries detection and depth discrimination of the RVG-4 and RVG-ui sensors were equally inconsistent irrespective of whether the LOGICON 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 LOGICON 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 LOGICON software-guided evalutations using RVG images and histologic examination.
