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Quantitative Assessment of Point-of-Care 3D-Printed Patient-Specific Polyetheretherketone (PEEK) Cranial Implants

Recent advancements in medical imaging, virtual surgical planning (VSP), and three-dimensional (3D) printing have potentially changed how today’s craniomaxillofacial surgeons use patient information for customized treatments. Over the years, polyetheretherketone (PEEK) has emerged as the biomaterial...

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Autores principales: Sharma, Neha, Aghlmandi, Soheila, Dalcanale, Federico, Seiler, Daniel, Zeilhofer, Hans-Florian, Honigmann, Philipp, Thieringer, Florian M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8395180/
https://www.ncbi.nlm.nih.gov/pubmed/34445228
http://dx.doi.org/10.3390/ijms22168521
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author Sharma, Neha
Aghlmandi, Soheila
Dalcanale, Federico
Seiler, Daniel
Zeilhofer, Hans-Florian
Honigmann, Philipp
Thieringer, Florian M.
author_facet Sharma, Neha
Aghlmandi, Soheila
Dalcanale, Federico
Seiler, Daniel
Zeilhofer, Hans-Florian
Honigmann, Philipp
Thieringer, Florian M.
author_sort Sharma, Neha
collection PubMed
description Recent advancements in medical imaging, virtual surgical planning (VSP), and three-dimensional (3D) printing have potentially changed how today’s craniomaxillofacial surgeons use patient information for customized treatments. Over the years, polyetheretherketone (PEEK) has emerged as the biomaterial of choice to reconstruct craniofacial defects. With advancements in additive manufacturing (AM) systems, prospects for the point-of-care (POC) 3D printing of PEEK patient-specific implants (PSIs) have emerged. Consequently, investigating the clinical reliability of POC-manufactured PEEK implants has become a necessary endeavor. Therefore, this paper aims to provide a quantitative assessment of POC-manufactured, 3D-printed PEEK PSIs for cranial reconstruction through characterization of the geometrical, morphological, and biomechanical aspects of the in-hospital 3D-printed PEEK cranial implants. The study results revealed that the printed customized cranial implants had high dimensional accuracy and repeatability, displaying clinically acceptable morphologic similarity concerning fit and contours continuity. From a biomechanical standpoint, it was noticed that the tested implants had variable peak load values with discrete fracture patterns and failed at a mean (SD) peak load of 798.38 ± 211.45 N. In conclusion, the results of this preclinical study are in line with cranial implant expectations; however, specific attributes have scope for further improvements.
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spelling pubmed-83951802021-08-28 Quantitative Assessment of Point-of-Care 3D-Printed Patient-Specific Polyetheretherketone (PEEK) Cranial Implants Sharma, Neha Aghlmandi, Soheila Dalcanale, Federico Seiler, Daniel Zeilhofer, Hans-Florian Honigmann, Philipp Thieringer, Florian M. Int J Mol Sci Article Recent advancements in medical imaging, virtual surgical planning (VSP), and three-dimensional (3D) printing have potentially changed how today’s craniomaxillofacial surgeons use patient information for customized treatments. Over the years, polyetheretherketone (PEEK) has emerged as the biomaterial of choice to reconstruct craniofacial defects. With advancements in additive manufacturing (AM) systems, prospects for the point-of-care (POC) 3D printing of PEEK patient-specific implants (PSIs) have emerged. Consequently, investigating the clinical reliability of POC-manufactured PEEK implants has become a necessary endeavor. Therefore, this paper aims to provide a quantitative assessment of POC-manufactured, 3D-printed PEEK PSIs for cranial reconstruction through characterization of the geometrical, morphological, and biomechanical aspects of the in-hospital 3D-printed PEEK cranial implants. The study results revealed that the printed customized cranial implants had high dimensional accuracy and repeatability, displaying clinically acceptable morphologic similarity concerning fit and contours continuity. From a biomechanical standpoint, it was noticed that the tested implants had variable peak load values with discrete fracture patterns and failed at a mean (SD) peak load of 798.38 ± 211.45 N. In conclusion, the results of this preclinical study are in line with cranial implant expectations; however, specific attributes have scope for further improvements. MDPI 2021-08-07 /pmc/articles/PMC8395180/ /pubmed/34445228 http://dx.doi.org/10.3390/ijms22168521 Text en © 2021 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
Sharma, Neha
Aghlmandi, Soheila
Dalcanale, Federico
Seiler, Daniel
Zeilhofer, Hans-Florian
Honigmann, Philipp
Thieringer, Florian M.
Quantitative Assessment of Point-of-Care 3D-Printed Patient-Specific Polyetheretherketone (PEEK) Cranial Implants
title Quantitative Assessment of Point-of-Care 3D-Printed Patient-Specific Polyetheretherketone (PEEK) Cranial Implants
title_full Quantitative Assessment of Point-of-Care 3D-Printed Patient-Specific Polyetheretherketone (PEEK) Cranial Implants
title_fullStr Quantitative Assessment of Point-of-Care 3D-Printed Patient-Specific Polyetheretherketone (PEEK) Cranial Implants
title_full_unstemmed Quantitative Assessment of Point-of-Care 3D-Printed Patient-Specific Polyetheretherketone (PEEK) Cranial Implants
title_short Quantitative Assessment of Point-of-Care 3D-Printed Patient-Specific Polyetheretherketone (PEEK) Cranial Implants
title_sort quantitative assessment of point-of-care 3d-printed patient-specific polyetheretherketone (peek) cranial implants
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8395180/
https://www.ncbi.nlm.nih.gov/pubmed/34445228
http://dx.doi.org/10.3390/ijms22168521
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