4.5 Article

CAD/CAM produces dentures with improved fit

期刊

CLINICAL ORAL INVESTIGATIONS
卷 22, 期 8, 页码 2829-2835

出版社

SPRINGER HEIDELBERG
DOI: 10.1007/s00784-018-2369-2

关键词

CAD/CAMdentures; Complete dentures; Denture fit; Denture base congruence; Dental materials; PMMA resin

资金

  1. University Hospital for Dental Prosthetics and Restorative Dentistry of the Medical University of Innsbruck, Austria

向作者/读者索取更多资源

Objectives Resin polymerisation shrinkage reduces the congruence of the denture base with denture-bearing tissues and thereby decreases the retention of conventionally fabricated dentures. CAD/CAM denture manufacturing is a subtractive process, and polymerisation shrinkage is not an issue anymore. Therefore, CAD/CAM dentures are assumed to show a higher denture base congruence than conventionally fabricated dentures. It has been the aim of this study to test this hypothesis. Materials and methods CAD/CAM dentures provided by four different manufacturers (AvaDent, Merz Dental, Whole You, Wieland/Ivoclar) were generated from ten different master casts. Ten conventional dentures (pack and press, long-term heat polymerisation) made from the same master casts served as control group. The master casts and all denture bases were scanned and matched digitally. The absolute incongruences were measured using a 2-mm mesh. Results Conventionally fabricated dentures showed a mean deviation of 0.105 mm, SD = 0.019 from the master cast. All CAD/CAMdentures showed lower mean incongruences. From all CAD/CAMdentures, AvaDent Digital Dentures showed the highest congruence with the master cast surface with a mean deviation of 0.058 mm, SD = 0.005. Wieland Digital Dentures showed a mean deviation of 0.068 mm, SD = 0.005, Whole You Nexteeth prostheses showed a mean deviation of 0.074 mm, SD = 0.011 and Baltic Denture System prostheses showed a mean deviation of 0.086 mm, SD = 0.012. Conclusions CAD/CAM produces dentures with better fit than conventional dentures.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据