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Quality assurance in 3D-printing: A dimensional accuracy study of patient-specific 3D-printed vascular anatomical models

3D printing enables the rapid manufacture of patient-specific anatomical models that substantially improve patient consultation and offer unprecedented opportunities for surgical planning and training. However, the multistep preparation process may inadvertently lead to inaccurate anatomical represe...

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Autores principales: Nguyen, Philip, Stanislaus, Ivan, McGahon, Clover, Pattabathula, Krishna, Bryant, Samuel, Pinto, Nigel, Jenkins, Jason, Meinert, Christoph
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9941637/
https://www.ncbi.nlm.nih.gov/pubmed/36824261
http://dx.doi.org/10.3389/fmedt.2023.1097850
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author Nguyen, Philip
Stanislaus, Ivan
McGahon, Clover
Pattabathula, Krishna
Bryant, Samuel
Pinto, Nigel
Jenkins, Jason
Meinert, Christoph
author_facet Nguyen, Philip
Stanislaus, Ivan
McGahon, Clover
Pattabathula, Krishna
Bryant, Samuel
Pinto, Nigel
Jenkins, Jason
Meinert, Christoph
author_sort Nguyen, Philip
collection PubMed
description 3D printing enables the rapid manufacture of patient-specific anatomical models that substantially improve patient consultation and offer unprecedented opportunities for surgical planning and training. However, the multistep preparation process may inadvertently lead to inaccurate anatomical representations which may impact clinical decision making detrimentally. Here, we investigated the dimensional accuracy of patient-specific vascular anatomical models manufactured via digital anatomical segmentation and Fused-Deposition Modelling (FDM), Stereolithography (SLA), Selective Laser Sintering (SLS), and PolyJet 3D printing, respectively. All printing modalities reliably produced hand-held patient-specific models of high quality. Quantitative assessment revealed an overall dimensional error of 0.20 ± 3.23%, 0.53 ± 3.16%, −0.11 ± 2.81% and −0.72 ± 2.72% for FDM, SLA, PolyJet and SLS printed models, respectively, compared to unmodified Computed Tomography Angiograms (CTAs) data. Comparison of digital 3D models to CTA data revealed an average relative dimensional error of −0.83 ± 2.13% resulting from digital anatomical segmentation and processing. Therefore, dimensional error resulting from the print modality alone were 0.76 ± 2.88%, + 0.90 ± 2.26%, + 1.62 ± 2.20% and +0.88 ± 1.97%, for FDM, SLA, PolyJet and SLS printed models, respectively. Impact on absolute measurements of feature size were minimal and assessment of relative error showed a propensity for models to be marginally underestimated. This study revealed a high level of dimensional accuracy of 3D-printed patient-specific vascular anatomical models, suggesting they meet the requirements to be used as medical devices for clinical applications.
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spelling pubmed-99416372023-02-22 Quality assurance in 3D-printing: A dimensional accuracy study of patient-specific 3D-printed vascular anatomical models Nguyen, Philip Stanislaus, Ivan McGahon, Clover Pattabathula, Krishna Bryant, Samuel Pinto, Nigel Jenkins, Jason Meinert, Christoph Front Med Technol Medical Technology 3D printing enables the rapid manufacture of patient-specific anatomical models that substantially improve patient consultation and offer unprecedented opportunities for surgical planning and training. However, the multistep preparation process may inadvertently lead to inaccurate anatomical representations which may impact clinical decision making detrimentally. Here, we investigated the dimensional accuracy of patient-specific vascular anatomical models manufactured via digital anatomical segmentation and Fused-Deposition Modelling (FDM), Stereolithography (SLA), Selective Laser Sintering (SLS), and PolyJet 3D printing, respectively. All printing modalities reliably produced hand-held patient-specific models of high quality. Quantitative assessment revealed an overall dimensional error of 0.20 ± 3.23%, 0.53 ± 3.16%, −0.11 ± 2.81% and −0.72 ± 2.72% for FDM, SLA, PolyJet and SLS printed models, respectively, compared to unmodified Computed Tomography Angiograms (CTAs) data. Comparison of digital 3D models to CTA data revealed an average relative dimensional error of −0.83 ± 2.13% resulting from digital anatomical segmentation and processing. Therefore, dimensional error resulting from the print modality alone were 0.76 ± 2.88%, + 0.90 ± 2.26%, + 1.62 ± 2.20% and +0.88 ± 1.97%, for FDM, SLA, PolyJet and SLS printed models, respectively. Impact on absolute measurements of feature size were minimal and assessment of relative error showed a propensity for models to be marginally underestimated. This study revealed a high level of dimensional accuracy of 3D-printed patient-specific vascular anatomical models, suggesting they meet the requirements to be used as medical devices for clinical applications. Frontiers Media S.A. 2023-02-07 /pmc/articles/PMC9941637/ /pubmed/36824261 http://dx.doi.org/10.3389/fmedt.2023.1097850 Text en © 2023 Nguyen, Stanislaus, McGahon, Pattabathula, Bryant, Pinto, Jenkins and Meinert. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (https://creativecommons.org/licenses/by/4.0/) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Medical Technology
Nguyen, Philip
Stanislaus, Ivan
McGahon, Clover
Pattabathula, Krishna
Bryant, Samuel
Pinto, Nigel
Jenkins, Jason
Meinert, Christoph
Quality assurance in 3D-printing: A dimensional accuracy study of patient-specific 3D-printed vascular anatomical models
title Quality assurance in 3D-printing: A dimensional accuracy study of patient-specific 3D-printed vascular anatomical models
title_full Quality assurance in 3D-printing: A dimensional accuracy study of patient-specific 3D-printed vascular anatomical models
title_fullStr Quality assurance in 3D-printing: A dimensional accuracy study of patient-specific 3D-printed vascular anatomical models
title_full_unstemmed Quality assurance in 3D-printing: A dimensional accuracy study of patient-specific 3D-printed vascular anatomical models
title_short Quality assurance in 3D-printing: A dimensional accuracy study of patient-specific 3D-printed vascular anatomical models
title_sort quality assurance in 3d-printing: a dimensional accuracy study of patient-specific 3d-printed vascular anatomical models
topic Medical Technology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9941637/
https://www.ncbi.nlm.nih.gov/pubmed/36824261
http://dx.doi.org/10.3389/fmedt.2023.1097850
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