Classification of edentulous mandibular alveolar ridges based on the finite element analysis on the dynamic behavior of the complete dentures.

基于全口义齿动态行为有限元分析的无牙颌下颌牙槽嵴分类

• 批准号: 15592039
• 负责人: TAKAYAMA Yoshiyuki
• 金额: $ 1.22万
• 依托单位: Hokkaido University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 2003
• 资助国家: 日本
• 起止时间: 2003 至 2004
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-15592039/
• 关键词: edentulous mandible; complete denture; shape of alveolar ridge; finite element method; classification; analysis on dynamic behavior; 3-dimensional measurement; cluster analysis; 下顎無菌顎; 無歯顎

The purpose of this study was twofold : development of a new method to make finite element model from digitized 3-dimensional shape of the alveolar ridge and a wax denture automatically as much as possible, and classification of the mandibular alveolar ridge based on the dynamic behavior of the denture calculated by finite element method.We measured three-dimensional shape of a master cast and a wax denture with 3D laser scanner LPX-250 (Roland DG Co.Ltd.). It was posssible to make FE model quasi-automatically with a software we developed in C++ programming language. The FE models was considered to have sufficient reproducibility with the denture mobility under loads comparing with another clinical method to measure denture mobility.With this method, we made FE models from 16 master casts and corresponding wax dentures, and analyzed denture mobilities under unilateral loads. We performed principal component analysis (PCA) with displacement of three representative nodes. The PCA showed that about 84 % of the three-dimensional displacement of dentures can be explained with three principal components-antero-posterior translation, rotation in horizontal plane, and amount of sinking at the molar region.The cluster analysis with principal component scores showed that there was at least 6 independent clusters. However, since most of the clusters consisted of a couple of cases, more cases were considered to be necessary to develop new classification system of edentulous mandibular ridge.

这项研究的目的是双重的：开发一种新方法，从数字化的三维形状的肺泡脊和蜡义义齿自动自动制作有限元模型，并根据动态行为自动分类，并根据动态行为进行分类通过有限元方法计算的义齿。我们测量了带有3D激光扫描仪LPX-250的蜡的三维形状（Roland DG Co.ltd。）。使用我们使用C ++编程语言开发的软件使Fe Model-Quasi Automation Automation Automations是可能的。 Fe模型被认为具有足够的可重现性，其义齿在负载下与另一种测量义齿迁移率进行比较的义齿迁移率。使用这种方法，我们从16种主铸件和相应的蜡义义齿中制作了Fe模型，并在单侧负载下分析了义齿迁移率。我们用三个代表性节点的位移进行了主成分分析（PCA）。 PCA表明，牙齿的三维位移中约有84％可以用三个主要成分 - 肛门 - 后方的翻译，水平平面的旋转和摩尔区域下沉量来解释。主成分分析显示的集群分析显示至少有6个独立群集。但是，由于大多数集群由几个案例组成，因此认为更多的病例被认为是开发新的无牙本质脊的新分类系统所必需的。