Novel parameter optimization lattice design for improving osseointegration in hypo-loading regions – A case study of maxillary tumor reconstruction implant

Abstract

This study utilizes the Taguchi method and sub-model analysis technique to create a novel optimization lattice for the hypo-loading region. The lattice is designed to mimic the mechanical properties of bone and promote the growth of immature bone under appropriate loading to enhance the osseointegration capacity of implants. The Maxillary lattice implant (ML implant) was developed to address the case of Maxillary antral carcinoma. The implant's structural parameters, including Angle of rotation (A), Concave angle (B), Pillar diameter (C), and Fillet radius (D), were analyzed to design and optimize the Hypo-Loading lattice (HL lattice) with various structures. Through the analysis, the optimal structural parameters for the HL lattice were determined, resulting in the creation of the Optimal HL lattice with exceptional Elastic Admissible Strain (EAS), a comparable elastic modulus to bone, and outstanding mechanical robustness. This feature of the Optimal HL lattice improves the bionic performance.

Keywords

• Lattice
• Osseointegration
• Sub-model analysis
• Metal 3D printing