Optimization of Fixations for Additively Manufactured Cranial Implants: Insights from Finite Element Analysis

Author:

Haque Fariha1,Luscher Anthony F.1,Mitchell Kerry-Ann S.2ORCID,Sutradhar Alok1

Affiliation:

1. Department of Mechanical and Aerospace Engineering, The Ohio State University, Columbus, OH 43210, USA

2. Department of Plastic Surgery, The Ohio State University Wexner Medical Center, Columbus, OH 43210, USA

Abstract

With the emergence of additive manufacturing technology, patient-specific cranial implants using 3D printing have massively influenced the field. These implants offer improved surgical outcomes and aesthetic preservation. However, as additive manufacturing in cranial implants is still emerging, ongoing research is investigating their reliability and sustainability. The long-term biomechanical performance of these implants is critically influenced by factors such as implant material, anticipated loads, implant-skull interface geometry, and structural constraints, among others. The efficacy of cranial implants involves an intricate interplay of these factors, with fixation playing a pivotal role. This study addresses two critical concerns: determining the ideal number of fixation points for cranial implants and the optimal curvilinear distance between those points, thereby establishing a minimum threshold. Employing finite element analysis, the research incorporates variables such as implant shapes, sizes, materials, the number of fixation points, and their relative positions. The study reveals that the optimal number of fixation points ranges from four to five, accounting for defect size and shape. Moreover, the optimal curvilinear distance between two screws is approximately 40 mm for smaller implants and 60 mm for larger implants. Optimal fixation placement away from the center mitigates higher deflection due to overhangs. Notably, a symmetric screw orientation reduces deflection, enhancing implant stability. The findings offer crucial insights into optimizing fixation strategies for cranial implants, thereby aiding surgical decision-making guidelines.

Funder

Department of Mechanical and Aerospace Engineering, the College of Engineering, and Discovery Theme of the Ohio State University

Ohio State University College of Medicine Research Innovation Career Development Award

Publisher

MDPI AG

Subject

Molecular Medicine,Biomedical Engineering,Biochemistry,Biomaterials,Bioengineering,Biotechnology

Reference40 articles.

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