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Korean J Oral Maxillofac Radiol. 2009 Mar;39(1):35-39. Korean. Original Article.
Park JH , Choi YS , Hwang EH , Lee GJ , Choi S , Park YH , Kim KS , Jin HS , Hong KW , Oh B , Park HK .
Department of Biomedical Engineering, School of Medicine, Kyung Hee University Healthcare Industry Research Institute, Kyung Hee University, Korea. sigmoidus@khu.ac.kr
Department of Oral and Maxillofacial Radiology, Institute of Oral Biology, School of Dentistry, Kyung Hee University, Korea.
Abstract

PURPOSE: The purpose of the experiment was to evaluating the diagnostic ability of dental caries detection using digital subtraction in the artificial caries activity model. MATERIALS AND METHODS: Digital radiographies of five teeth with 8 proximal surfaces were obtained by CCD sensor (Kodak RVG 6100 using a size #2). The digital radiographic images and subtraction images from artificial proximal caries were examined and interpreted. In this study, we proposed novel caries detection method which could diagnose the dental proximal caries from single digital radiographic image. RESULTS: In artificial caries activity model, the range of lesional depth was 572-1,374 micrometer and the range of lesional area was 36.95-138.52mm2. The lesional depth and the area were significantly increased with demineralization time (p<0.001). Furthermore, the proximal caries detection using digital subtraction radiography showed high detection rate compared to the proximal caries examination using simple digital radiograph. CONCLUSION: The results demonstrated that the digital subtraction radiography from single radiographic image of artificial caries was highly efficient in the detection of dental caries compared to the data from simple digital radiograph.

Copyright © 2019. Korean Association of Medical Journal Editors.