Probabilistic multifactorial lifetime assessment for resin-based composite restorations

树脂基复合修复体的概率多因素寿命评估 摘要： 而下一代牙科复合材料的发展延长了明天牙科修复体的使用寿命 正在进行中，正在产生一个严格的工具，可以更好地区分许多复合修复系统 准确预测其临床表现是必要的。这个项目的长期目标是延长寿命 通过更好地了解树脂基复合修复体获得更耐用的修复系统 牙齿-复合材料界面的退化机理。我们更紧迫的目标是制定一个全面和 复合体修复体寿命预测的互补分析-实验法。我们想要 检验以下假设：(1)不同的机械、热、化学和生物挑战协同工作 减少树脂基复合修复体的寿命；(2)可以预测复合修复体的寿命 使用数值应力分析和多因素失效模型；以及(3)我们可以设计加速测试 具有代表性挑战的方法，再现了在复合恢复中看到的故障率和故障模式 临床上的牙齿。我们计划进行一系列的实验室和理论研究，包括1)开发和实施 用于失效预测的多因素概率模型；2)确定与失效相关的材料属性 商业复合材料在典型生物力学挑战下的模型；3)预测寿命 不同类型的复合修复体(I类和II类)用于前磨牙和磨牙，使用失败模型和 基于有限元分析的界面应力预测；4)微生物力学人工口腔的设计与制作 (µBAM)在明尼苏达牙科研究中心现有设计的基础上，在人工口腔中添加生物膜反应器 生物材料和生物力学中心(MDRCBB)模拟微生物和机械挑战 口腔环境；以及5)开发使用多因素失败模型和 不断增加的负荷。这项研究将引入一种全面和定量的方法来研究结构 通过与临床结果的比较，验证了复合体修复的分析和寿命预测。它将评估 在典型的准备和口腔条件下牙齿修复界面的退化，结果将有所帮助 阐明两种主要口腔挑战，即微生物挑战和生物力学挑战的个体和协同效应，以及 操作员在其生命周期内的错误。该项目还将生产一种微生物力学人造嘴巴，可以测试 在加速但具有临床代表性的条件下复合修复牙齿，从而减少修复的范围和成本 通过提供候选材料的初步筛选进行临床研究。这将提高复合材料的使用寿命。 通过1)为牙科材料制造商提供更具临床相关性的产品评估 发展，以及2)允许牙医在选择修复剂时做出更明智和及时的决定 材料和治疗计划。

Title: Probabilistic multifactorial lifetime assessment for resin-based composite restorations Abstract: While the development of the next-generation dental composites to extend the service life of tomorrow's dental restorations is underway, producing a rigorous tool that can better discriminate the many composite restorative systems by more accurately predicting their clinical performances is necessary. The long term goal of this project is to increase the lifetime of resin-base composite restorations by obtaining more durable restorative systems through a better understanding of the degradation mechanisms of the tooth-composite interface. Our more immediate goal is to develop a comprehensive and complementary analytical-experimental approach for predicting the lifetime of composite restorations. We would like to test the hypotheses that (1) the different mechanical, thermal, chemical and biological challenges work synergistically to reduce the lifetime of resin-based composite restorations; (2) we can predict the lifetime of composite-restored teeth using numerical stress analysis and a multi-factorial failure model; and (3) we can devise an accelerated test method with representative challenges that reproduce the failure rates and failure modes seen in composite-restored teeth clinically. We propose to conduct a series of laboratory and theoretical studies including 1) to develop and implement a multifactorial probabilistic model for failure prediction; 2) to determine the material properties pertinent to the failure model for commercial composites subjected to calibrated representative biomechanical challenges; 3) to predict the lifetime of different types of composite restorations (Class I and II) for premolars and molars using the failure model and the interfacial stresses predicted by Finite Element Analysis; 4) to design and build a microbiomechanical artificial mouth (µBAM) by adding a biofilm reactor to an artificial mouth based on the existing design at the Minnesota Dental Research Center for Biomaterials and Biomechanics (MDRCBB) to simulate the microbiological and mechanical challenges in the oral environment; and 5) to develop an accelerated test regime using the multifactorial failure model together with a continuously increasing load. This research will introduce a comprehensive and quantitative approach to the structural analysis and lifetime prediction of composite dental restoration, validated by comparison with clinical results. It will assess degradation of the tooth-restoration interface under representative preparation and oral conditions, and the results will help elucidate the individual and synergistic effects of two main oral challenges, namely microbiological and biomechanical, and those of operator error on its lifetime. The project will also produce a microbiomechanical artificial mouth that can test composite-restored teeth under accelerated but clinically representative conditions, thus reducing the scope and costs of clinical studies by providing the initial screening of candidate materials. This will improve the longevity of composite restorations by 1) providing dental materials manufacturers with more clinically relevant assessments for product development, and 2) allowing dentists to make more informed and timely decisions on the selection of restorative materials and treatment plans.