Digital Dentistry Department, A.I. Yevdokimov Moscow State University of Medicine and Dentistry, 127473 Moscow, Russia.
Prosthodontics Technology Department, A.I. Yevdokimov Moscow State University of Medicine and Dentistry, 127473 Moscow, Russia.
Int J Mol Sci. 2023 Mar 29;24(7):6432. doi: 10.3390/ijms24076432.
This research addresses the development of a formalized approach to dental material selection (DMS) in manufacturing removable complete dentures (RDC). Three types of commercially available polymethyl methacrylate (PMMA) grades, processed by an identical Digital Light Processing (DLP) 3D printer, were compared. In this way, a combination of mechanical, tribological, technological, microbiological, and economic factors was assessed. The material indices were calculated to compare dental materials for a set of functional parameters related to feedstock cost. However, this did not solve the problem of simultaneous consideration of all the material indices, including their significance. The developed DMS procedure employs the extended VIKOR method, based on the analysis of interval quantitative estimations, which allowed the carrying out of a fully fledged analysis of alternatives. The proposed approach has the potential to enhance the efficiency of prosthetic treatment by optimizing the DMS procedure, taking into consideration the prosthesis design and its production route.
本研究旨在为可摘局部义齿（RDC）制造中制定正式的牙科材料选择（DMS）方法。比较了三种市售的聚甲基丙烯酸甲酯（PMMA）等级，这些等级均由相同的数字光处理（DLP）3D 打印机加工而成。这样，评估了机械、摩擦学、技术、微生物学和经济因素的组合。计算了材料指数，以比较与原料成本相关的一组功能参数的牙科材料。然而，这并没有解决同时考虑所有材料指数的问题，包括它们的重要性。所开发的 DMS 程序采用扩展的 VIKOR 方法，基于区间定量估计的分析，从而能够充分分析替代方案。该方法有可能通过优化考虑到修复体设计及其生产路线的 DMS 程序，提高修复体治疗的效率。
