简介：骨肿瘤具有不同的位置和形状，通常需要手术切除，然后进行定制种植体植入，以促进有针对性的骨重建。利用增材制造，可以根据复杂的几何形状和所需的刚度精确定制患者专用植入物，从而增强其骨向内生长的适合性。方法：在这项工作中，采用有限元模型来评估股骨中患者特定的晶格植入物。我们的模型使用从动物研究（n = 9）中获得的实验数据进行了验证。结果：结果证明了所提出的有限元模型在预测植入物机械行为方面的准确性。该模型用于研究将固体 Ti6Al4V 种植体的弹性模量降低十倍的影响，结果表明这种降低对最大压缩和扭转载荷下的骨行为没有显着影响。这一发现提出了一种在不损害骨完整性的情况下降低内置假体模量的潜在途径。讨论：我们的研究表明，采用完全晶格种植体不仅有利于骨骼向内生长，而且还有可能降低整体种植体刚度。这种减少对于防止与应力屏蔽相关的显着骨重塑至关重要，这是一个通常与全实体植入物的高刚度相关的挑战。该研究强调了在种植体设计中利用晶格结构来提高患者治疗效果的机械效益。版权所有 © 2024 Namvar、Lozanovski、Downing、Williamson、Kastrati、Shidid、Hill、Buehner、Ryan、Choong、Sanaei、Leary 和 Brandt。

Introduction: Bone tumors, characterized by diverse locations and shapes, often necessitate surgical excision followed by custom implant placement to facilitate targeted bone reconstruction. Leveraging additive manufacturing, patient-specific implants can be precisely tailored with complex geometries and desired stiffness, enhancing their suitability for bone ingrowth. Methods: In this work, a finite element model is employed to assess patient-specific lattice implants in femur bones. Our model is validated using experimental data obtained from an animal study (n = 9). Results: The results demonstrate the accuracy of the proposed finite element model in predicting the implant mechanical behavior. The model was used to investigate the influence of reducing the elastic modulus of a solid Ti6Al4V implant by tenfold, revealing that such a reduction had no significant impact on bone behavior under maximum compression and torsion loading. This finding suggests a potential avenue for reducing the endoprosthesis modulus without compromising bone integrity. Discussion: Our research suggests that employing fully lattice implants not only facilitates bone ingrowth but also has the potential to reduce overall implant stiffness. This reduction is crucial in preventing significant bone remodeling associated with stress shielding, a challenge often associated with the high stiffness of fully solid implants. The study highlights the mechanical benefits of utilizing lattice structures in implant design for enhanced patient outcomes.Copyright © 2024 Namvar, Lozanovski, Downing, Williamson, Kastrati, Shidid, Hill, Buehner, Ryan, Choong, Sanaei, Leary and Brandt.