Probabilistic multifactorial lifetime assessment for resin-based composite restorations

树脂基复合材料修复体的概率多因素寿命评估

• 批准号: 10093010
• 负责人: Alex Siu-Lun Fok
• 金额: $ 40.68万
• 依托单位: UNIVERSITY OF MINNESOTA
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-02-01 至 2023-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10093010
• 关键词: Address; Bicuspid; Biochemical; Biocompatible Materials; Biological; Biomechanics; Chemicals; Clinical; Clinical Data; Clinical Research; Composite Dental Resin; Composite Resins; Dental; Dental Materials; Dental Research; Dental caries; Dentists; Development; Environment; Failure; Fatigue; Finite Element Analysis; Goals; Health Status; Individual; Knowledge; Laboratories; Laboratory Study; Life; Literature; Longevity; Manufacturer Name; Mechanics; Methods; Microbial Biofilms; Microbiology; Minnesota; Modeling; Oral; Oral cavity; Oral health; Performance; Plant Resins; Preparation; Privatization; Probability; Property; Recurrence; Reporting; Research; Series; Services; Shapes; Specimen; Statistical Models; Stress; Structure; System; Techniques; Testing; Theoretical Studies; Time; Tooth Fractures; Tooth structure; Variant; Work; base; clinical predictors; clinically relevant; composite restoration; cost; design; experimental study; improved; interfacial; margin fracture; mechanical load; next generation; oral condition; predictive modeling; product development; restoration; restorative composite; restorative dentistry; restorative material; restorative treatment; screening; tool; treatment planning; virtual experiments

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.

标题：树脂基复合材料涂层的概率多因素寿命评估 摘要： 虽然下一代牙科复合材料的开发，以延长未来的牙科修复体的使用寿命， 正在进行中，生产一种严格的工具，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。该项目的长期目标是增加 通过更好地了解树脂基复合材料的性能， 牙齿-复合材料界面的降解机制。我们更迫切的目标是制定一个全面和 互补的分析-实验方法，用于预测复合材料的寿命。我们想 测试以下假设：（1）不同的机械、热、化学和生物挑战协同作用 降低树脂基复合材料的使用寿命;（2）我们可以预测复合材料的寿命恢复 牙齿使用数值应力分析和多因素失效模型;（3）我们可以设计一个加速测试 具有代表性挑战的方法重现了复合恢复中看到的故障率和故障模式， 牙齿临床我们建议进行一系列的实验室和理论研究，包括1）开发和实施 失效预测的多因素概率模型; 2）确定与失效相关的材料特性 商业复合材料的模型，经过校准的代表性生物力学挑战; 3）预测寿命 不同类型的复合牙列（I类和II类）的前磨牙和磨牙使用的失效模型和 有限元分析预测界面应力; 4）设计并构建微生物力学人工口 （µBAM）在明尼苏达牙科研究所现有设计的基础上， 生物材料和生物力学中心（MDRCBB），以模拟 口腔环境;以及5）使用多因素失效模型以及 不断增加负荷。本研究将介绍一个全面的和定量的方法， 分析和寿命预测的复合牙科修复体，通过与临床结果的比较进行验证。它将评估 降解的牙齿修复界面下的代表性准备和口腔条件下，结果将有助于 阐明两个主要口腔挑战（即微生物和生物力学）的单独和协同效应，以及 操作者的错误在其寿命上。该项目还将生产一种微生物力学人造口腔， 在加速但具有临床代表性的条件下进行复合材料修复牙齿，从而减少 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寿命 通过1）为牙科材料制造商提供更多临床相关的产品评估 发展，以及2）允许牙医在选择修复体时做出更明智和及时的决定 材料和治疗方案。

项目成果

Laboratory simulation of longitudinally cracked teeth using the step-stress cyclic loading method.

• DOI: 10.1111/iej.13530
• 发表时间: 2021-09
• 期刊: International endodontic journal
• 影响因子: 5
• 作者: Lin F;Ordinola-Zapata R;Xu H;Heo YC;Fok A
• 通讯作者: Fok A

Fatigue analysis of restored teeth longitudinally cracked under cyclic loading.

• DOI: 10.1016/j.dental.2021.12.005
• 发表时间: 2022-01
• 期刊: Dental materials : official publication of the Academy of Dental Materials
• 作者: Lin F;Ordinola-Zapata R;Ye N;Xu H;Fok ASL
• 通讯作者: Fok ASL

Development and Calibration of Biochemical Models for Testing Dental Restorations.

• DOI: 10.1016/j.actbio.2020.04.014
• 发表时间: 2020-04
• 期刊: Acta biomaterialia
• 影响因子: 9.7
• 作者: Anqi Zhang;Ruoqiong Chen;W. Aregawi;Yiting He;Sheng Wang;C. Aparicio;J. Rudney;H. P. Chew;A. Fok