Suppr超能文献

患者特异性下颌骨有限元模型:当前设置缺乏共识。

Patient-specific finite element models of the human mandible: Lack of consensus on current set-ups.

机构信息

Department of Oral and Maxillofacial Surgery, University Medical Center Groningen, Groningen, The Netherlands.

出版信息

Oral Dis. 2021 Jan;27(1):42-51. doi: 10.1111/odi.13381. Epub 2020 Jul 9.

Abstract

The use of finite element analysis (FEA) has increased rapidly over the last decennia and has become a popular tool to design implants, osteosynthesis plates and prostheses. With increasing computer capacity and the availability of software applications, it has become easier to employ the FEA. However, there seems to be no consensus on the input variables that should be applied to representative FEA models of the human mandible. This review aims to find a consensus on how to define the representative input factors for a FEA model of the human mandible. A literature search carried out in the PubMed and Embase database resulted in 137 matches. Seven papers were included in this current study. Within the search results, only a few FEA models had been validated. The material properties and FEA approaches varied considerably, and the available validations are not strong enough for a general consensus. Further validations are required, preferably using the same measuring workflow to obtain insight into the broad array of mandibular variations. A lot of work is still required to establish validated FEA settings and to prevent assumptions when it comes to FEA applications.

摘要

在过去的几十年中,有限元分析(FEA)的使用迅速增加,已成为设计植入物、接骨板和假体的流行工具。随着计算机容量的增加和软件应用程序的可用性,使用 FEA 变得更加容易。然而,对于应该应用于人类下颌骨代表性 FEA 模型的输入变量似乎没有共识。本综述旨在就如何定义人类下颌骨 FEA 模型的代表性输入因素达成共识。在 PubMed 和 Embase 数据库中进行的文献检索产生了 137 个匹配项。本研究纳入了 7 篇论文。在搜索结果中,只有少数 FEA 模型得到了验证。材料特性和 FEA 方法差异很大,并且可用的验证结果不够强,无法达成普遍共识。需要进一步验证,最好使用相同的测量工作流程,以深入了解广泛的下颌骨变化。在建立经过验证的 FEA 设置和防止 FEA 应用中出现假设方面,仍有大量工作要做。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4888/7818111/27e61b41d053/ODI-27-42-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验