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Optimization of Fixations for Additively Manufactured Cranial Implants: Insights from Finite Element Analysis
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, ongo...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10603949/ https://www.ncbi.nlm.nih.gov/pubmed/37887630 http://dx.doi.org/10.3390/biomimetics8060498 |
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author | Haque, Fariha Luscher, Anthony F. Mitchell, Kerry-Ann S. Sutradhar, Alok |
author_facet | Haque, Fariha Luscher, Anthony F. Mitchell, Kerry-Ann S. Sutradhar, Alok |
author_sort | Haque, Fariha |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10603949 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-106039492023-10-28 Optimization of Fixations for Additively Manufactured Cranial Implants: Insights from Finite Element Analysis Haque, Fariha Luscher, Anthony F. Mitchell, Kerry-Ann S. Sutradhar, Alok Biomimetics (Basel) Article 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. MDPI 2023-10-19 /pmc/articles/PMC10603949/ /pubmed/37887630 http://dx.doi.org/10.3390/biomimetics8060498 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Haque, Fariha Luscher, Anthony F. Mitchell, Kerry-Ann S. Sutradhar, Alok Optimization of Fixations for Additively Manufactured Cranial Implants: Insights from Finite Element Analysis |
title | Optimization of Fixations for Additively Manufactured Cranial Implants: Insights from Finite Element Analysis |
title_full | Optimization of Fixations for Additively Manufactured Cranial Implants: Insights from Finite Element Analysis |
title_fullStr | Optimization of Fixations for Additively Manufactured Cranial Implants: Insights from Finite Element Analysis |
title_full_unstemmed | Optimization of Fixations for Additively Manufactured Cranial Implants: Insights from Finite Element Analysis |
title_short | Optimization of Fixations for Additively Manufactured Cranial Implants: Insights from Finite Element Analysis |
title_sort | optimization of fixations for additively manufactured cranial implants: insights from finite element analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10603949/ https://www.ncbi.nlm.nih.gov/pubmed/37887630 http://dx.doi.org/10.3390/biomimetics8060498 |
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