As Japan becomes a super aging society, the number of denture users is increasing and dentures are becoming increasingly important from the perspective of quality of life. Ceramic denture teeth are widely used because of their excellent aesthetics and hardness. However, depending on the components used and the firing method for each product, bubbles or cracks may occur within the ceramic material. This can be a cause of fracture after dentures are fitted in the mouth, and so quality management is important. Current methods for evaluating the interior of ceramic denture teeth are sampling and destruction tests, but the amount of information obtained is limited. In this study we attempted to evaluate the internal structure of ready-made ceramic denture teeth using optical coherence tomography (OCT), the characteristics of which include non-destructiveness, high resolution, and simultaneity. Thirteen different ready-made ceramic denture teeth, manufactured by four companies, were analyzed non-destructively using a dental OCT system (IVS-2000, Santec) developed with cooperation between industry and government at the National Center of Geriatrics and Gerontology. The inner structure and defects such as cracking and air bubbles were evaluated based on the obtained OCT images. The composition of the silicate ceramic used differs among these denture products, but the boundary placement between the high translucency enamel portion and the low translucency dentin (core) portion was found to be correct in this OCT analysis, similar to natural teeth. Voids due to fine bubbles in the ceramic denture teeth were also identified on the OCT images. Evaluation of the interiors of ceramic denture teeth currently requires sample destruction, but with the use of the dental OCT system such evaluation can be done non-destructively. The system can also be used for some parts of JIS evaluations, including thermal shock tests and counting air bubbles. The results of this study confirm that this dental OCT system can be used to objectively evaluate and detect defects and weaknesses in the internal structure of ceramic denture teeth in real time.
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