Department of Mechanics, Mathematics and Management, Politecnico di Bari, Bari 70126, Italy.
Department of Base Medical Sciences, Neurosciences and Sense Organs, University of Bari "Aldo Moro", Bari, Italy.
Int J Med Sci. 2018 Jan 1;15(1):16-22. doi: 10.7150/ijms.20522. eCollection 2018.
Thanks to the recent advances of three-dimensional printing technologies the design and the fabrication of a large variety of scaffold geometries was made possible. The surgeon has the availability of a wide number of scaffold micro-architectures thus needing adequate guidelines for the choice of the best one to be implanted in a patient-specific anatomic region. We propose a mechanobiology-based optimization algorithm capable of determining, for bone tissue scaffolds with an assigned geometry, the optimal value of the compression load to which they should be subjected, i.e. the load value for which the formation of the largest amounts of bone is favoured and hence the successful outcome of the scaffold implantation procedure is guaranteed. Scaffolds based on hexahedron unit cells were investigated including pores differently dimensioned and with different shapes such as elliptic or rectangular. The algorithm predicted decreasing values of the optimal load for scaffolds with pores with increasing dimensions. The optimal values predicted for the scaffolds with elliptic pores were found higher than those with rectangular ones. The proposed algorithm can be utilized to properly guide the surgeon in the choice of the best scaffold type/geometry that better satisfies the specific patient requirements.
由于三维打印技术的最新进展,使得各种支架几何形状的设计和制造成为可能。外科医生可以获得大量的支架微观结构,因此需要有足够的指导方针来选择要植入特定解剖区域患者的最佳支架。我们提出了一种基于生物力学的优化算法,能够确定给定几何形状的骨组织支架的最佳压缩载荷值,即有利于形成最大量骨的载荷值,从而保证支架植入过程的成功。研究了基于六面体单元的支架,包括不同尺寸和形状的孔,如椭圆形或矩形。算法预测了具有增大尺寸的孔的支架的最佳载荷值逐渐减小。对于具有椭圆形孔的支架,预测的最佳值高于具有矩形孔的支架。该算法可用于指导外科医生正确选择最能满足特定患者需求的最佳支架类型/几何形状。