Design Optimization of Reduced-Diameter Implants in Simulated and Cadaver Bone

模拟骨和尸体骨中直径减小的植入物的设计优化

基本信息

批准号：
10609472
负责人：
JASON A GRIGGS
金额：
$ 36.25万
依托单位：
UNIVERSITY OF MISSISSIPPI MED CTR
依托单位国家：
美国
项目类别：
财政年份：
2019
资助国家：
美国
起止时间：
2019-04-01 至 2025-03-31
项目状态：
未结题

项目摘要

Project Summary Reduced-diameter dental implants have an outer diameter less than 3.75 mm. They are useful for replacing teeth that have small cervical diameters, especially in anterior locations. In the anterior, the width of the alveolar ridge is often insufficient to place a standard-diameter implant, so reduced-diameter implants avoid the need for bone augmentation surgery and thus avoid the additional cost and six-month wait prior to implant placement. However, reduced-diameter implants suffer from a much greater incidence of mechanical complications compared with standard-diameter implants. These complications include loosening and/or fracture of the implant-abutment connector screw. Fortunately, our preliminary data suggest that the design of the implant-abutment connection in reduced-diameter implants can be optimized to increase their lifetime. We previously conducted a five-year project on more efficient methods of evaluating the mechanical reliability of dental implants by (1) validating the accuracy of implant lifetime prediction performed using finite element stress analysis combined with fatigue post-processing software and (2) validating the accelerated lifetime testing of physical specimens performed using a combination of overstress acceleration and usage rate acceleration. We accomplished those aims, which provided us with a powerful set of tools for addressing the design optimization of reduced-diameter dental implants. In the currently proposed project, we will use finite element modeling to screen 25 implant design parameters to determine which parameters should be used as experimental factors in design optimization of reduced- diameter dental implants. The candidate parameters were identified by fatigue testing of four types of reduced- diameter dental implants and testing design parameters for significant association with fatigue lifetime. Second, we will identify the optimal combination of design parameters that corresponds to the maximum predicted fatigue lifetime for reduced-diameter dental implants. We will use Artificial Neural Networks that have been trained using the results of our finite element analyses to perform design optimization and will compare that method with Response Surface Methodology. Third, we will validate the virtual models by using accelerated lifetime testing (ALT) of physical specimens to compare the performance of our optimized implant with a commercially available benchmark in simulated bone. Fourth, we will also test our optimized prototype in cadaver bone to validate our novel simulated bone holder material for future implant fatigue studies.

项目摘要直径减少的牙齿植入物的外径小于3.75毫米。它们对于更换很有用牙齿直径很小的牙齿，尤其是在前部位置。在前，宽度牙槽脊通常不足以放置标准直径植入物，因此直径减少的植入物避免需要进行骨骼增强手术，从而避免植入前的额外成本和六个月的等待放置。但是，直径减少的植入物的机械发生率要大得多与标准直径植入物相比并发症。这些并发症包括松动和/或植入物污染连接器螺钉的断裂。幸运的是，我们的初步数据表明可以优化减少直径植入物中的植入物育种连接以增加其寿命。我们之前进行了一个为期五年的项目，以评估机械可靠性的更有效的方法通过（1）验证使用有限元进行的植入物寿命预测的准确性来验证牙齿植入物的精度压力分析与疲劳后处理软件结合，（2）验证加速的寿命使用过度加速和使用率组合进行的物理标本测试加速度。我们实现了这些目标，为我们提供了一套强大的工具来解决直径减少牙科植入物的设计优化。在当前建议的项目中，我们将使用有限元建模来屏幕25植入式设计参数确定哪些参数应用作设计优化的实验因素 - 直径牙齿植入物。通过疲劳测试对四种类型的降低 - 直径植入物和测试设计参数与疲劳寿命有显着关联。第二，我们将确定与最大预测相对应的设计参数的最佳组合直径减少牙齿植入物的疲劳寿命。我们将使用已有的人工神经网络使用有限元分析的结果培训以执行设计优化，并将比较响应表面方法论的方法。第三，我们将使用加速验证虚拟模型物理标本的终身测试（ALT），以比较我们优化植入物的性能与A 模拟骨骼中的市售基准。第四，我们还将在尸体骨骼以验证我们新颖的模拟骨架材料以进行未来的植入疲劳研究。