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Development of particle swarm and topology optimization-based modeling for mandibular distractor plates
Swarm and Evolutionary Computation ( IF 8.2 ) Pub Date : 2020-01-11 , DOI: 10.1016/j.swevo.2020.100645
Abdullah Tahir Şensoy , Irfan Kaymaz , Ümit Ertaş

Mandibular Distraction Osteogenesis (MDO) is a common clinical procedure to correct mandibular retrognathia. However, since there is not a gold standard for determining the screw positions for current MDO operations, deviation of distraction direction and malocclusion increases. This case results in need of additional operations that affect the callus stability. In these cases, relapse risk increases and remodelling period gets longer. On the other hand, large volume of the distractor plates results in more invasive treatment and negatively affects the patients’ comfort. To overcome these problems, this study offers a new method including; virtual surgery simulation, determining the optimum screw configuration using particle swarm optimization loop linked between MATLAB-PYTHON-ANSYS programs and the design of distractor plate geometry with topology optimization. In order to test the proposed method, two different Finite Element (FE) models, CM and OM, were established based on conventional and optimum method, respectively. FEA results of the current study reveals that OM has 33.56% less displacement compared to CM, and the most critical screw in terms of screw loosening for OM has 35.29% less strain value than CM. These outcomes show OM shows superior callus stability in comparison with CM. On the other hand, redesign of the distractor plates using topology optimization according to the best screw positions provides 43.32% reduction in the total implant volume which means reduced cost and a less invasive MDO operation. Therefore, the clinical use of this protocol is expected to increase the success of the operation by shortening the recovery period.



中文翻译:

基于粒子群和拓扑优化的下颌牵张板建模开发

下颌骨牵张成骨(MDO)是纠正下颌后突的常见临床方法。但是,由于没有用于确定当前MDO操作的螺钉位置的金标准,因此分心方向和咬合不正的偏差会增加。这种情况导致需要其他影响愈伤组织稳定性的操作。在这些情况下,复发风险增加,并且重塑期变长。另一方面,较大的撑开器板导致更具侵入性的治疗,并且不利地影响患者的舒适度。为了克服这些问题,本研究提供了一种新的方法,包括:虚拟手术模拟 使用链接在MATLAB-PYTHON-ANSYS程序和分散器板几何设计之间的粒子群优化回路,通过拓扑优化确定最佳螺杆配置。为了测试所提出的方法,分别基于常规方法和最佳方法建立了两种不同的有限元(FE)模型,即CM和OM。当前研究的有限元分析结果显示,与CM相比,OM的位移减少了33.56%,就OM的螺丝松动而言,最关键的螺丝的应变值比CM降低了35.29%。这些结果表明,与CM相比,OM具有更好的愈伤组织稳定性。另一方面,根据最佳螺钉位置,使用拓扑优化对牵引器板进行重新设计,可提供43个。植入物总体积减少了32%,这意味着降低了成本并降低了MDO手术的侵入性。因此,该方案的临床使用有望通过缩短恢复期来增加手术的成功率。

更新日期:2020-01-11
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