| Literature DB >> 31451556 |
Christian Höhne1, Raphael Schwarzbauer2, Marc Schmitter2.
Abstract
Commonly used model teeth are so far uniform in color and hardness. There is no discrimination between enamel and dentin part of a tooth. This condition makes it difficult to train a preparation technique, which is adapted to real tooth substance. The aim of this study was to design and establish a 3D printed tooth with different layers for enamel and dentin for education in crown preparation. A printable tooth with different layers for enamel and dentin was designed, and all 38 fourth-year dental students in the first clinical course in prosthodontics and 30 experienced dentists were trained during a voluntary hands-on course in 2019. Prior to the study, the students had used standard model teeth and real-teeth models in their preclinical education. They had experience in caries removal and preparation on real patients. The perceived benefits of the 3D printed tooth were evaluated by a questionnaire. All individuals in both groups completed the questionnaire, for a 100% response rate. The results showed that the printed tooth was given an overall mean grade of 2.3 (students) and 2.0 (experts) on a scale from 1=excellent to 5=poor. The difference in hardness between the dentin and enamel layer was given a mean of 2.4 (students and experts) and the difference in color a 1.7 (students) and 1.8 (experts). The tooth model with the prepared tooth illustrating an ideal preparation was graded 1.6 (students and experts). In this study, the students had the opportunity to learn a correct crown preparation on a printed tooth with different material properties for enamel and dentin. The learning effect with this tooth model was rated as good on the questionnaire by both students and expert dentists.Entities:
Keywords: 3D printing; clinical skills; dental education; educational technology; printed tooth
Mesh:
Year: 2019 PMID: 31451556 DOI: 10.21815/JDE.019.146
Source DB: PubMed Journal: J Dent Educ ISSN: 0022-0337 Impact factor: 2.264