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A Streamlined Algorithmic Process for Creating Three-dimensional Printed Forearm Casts

Three-dimensional (3D) printing is a rapidly evolving field that has found its way into the medical field, providing unsurpassed contributions to the provision of patient-centered care. Its utilization lies in optimizing preoperative planning, the creation and customization of surgical guides and im...

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Autores principales: Alshawaf, Solaiman M., Burhamah, Waleed, Alwazzan, Sabika, AlYouha, Sarah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9984158/
https://www.ncbi.nlm.nih.gov/pubmed/36875921
http://dx.doi.org/10.1097/GOX.0000000000004824
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author Alshawaf, Solaiman M.
Burhamah, Waleed
Alwazzan, Sabika
AlYouha, Sarah
author_facet Alshawaf, Solaiman M.
Burhamah, Waleed
Alwazzan, Sabika
AlYouha, Sarah
author_sort Alshawaf, Solaiman M.
collection PubMed
description Three-dimensional (3D) printing is a rapidly evolving field that has found its way into the medical field, providing unsurpassed contributions to the provision of patient-centered care. Its utilization lies in optimizing preoperative planning, the creation and customization of surgical guides and implants, and the designing of models that can be used to augment patient counseling and education. We integrate a simple yet effective method of scanning the forearm using an iPad device with Xkelet software to obtain a 3D printable stereolithography file, which is then incorporated to our suggested algorithmic model for designing a 3D cast, utilizing Rhinocerus design software and Grasshopper plugin. The algorithm implements a stepwise process of retopologizing the mesh, division of the cast model, creating the base surface, applying proper clearance and thickness to the mold, and creating a lightweight structure through the addition of ventilation holes to the surface with a joint connector between the two plates. In our experience, scanning and design of the patient-specific forearm cast using Xkelet and Rhinocerus, alongside implementing an algorithmic model through Grasshopper plugin has dramatically reduced the designing process from 2 to 3 hours to 4–10 minutes, further increasing the number of patient scans that can be sequenced in a short duration. In this article, we introduce a streamlined algorithmic process for the use of 3D scanning and processing software to create forearm casts that are tailored to the patients’ dimensions. We emphasize the implementation of computer-aided design software for a quicker and more accurate design process.
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spelling pubmed-99841582023-03-04 A Streamlined Algorithmic Process for Creating Three-dimensional Printed Forearm Casts Alshawaf, Solaiman M. Burhamah, Waleed Alwazzan, Sabika AlYouha, Sarah Plast Reconstr Surg Glob Open Technology Three-dimensional (3D) printing is a rapidly evolving field that has found its way into the medical field, providing unsurpassed contributions to the provision of patient-centered care. Its utilization lies in optimizing preoperative planning, the creation and customization of surgical guides and implants, and the designing of models that can be used to augment patient counseling and education. We integrate a simple yet effective method of scanning the forearm using an iPad device with Xkelet software to obtain a 3D printable stereolithography file, which is then incorporated to our suggested algorithmic model for designing a 3D cast, utilizing Rhinocerus design software and Grasshopper plugin. The algorithm implements a stepwise process of retopologizing the mesh, division of the cast model, creating the base surface, applying proper clearance and thickness to the mold, and creating a lightweight structure through the addition of ventilation holes to the surface with a joint connector between the two plates. In our experience, scanning and design of the patient-specific forearm cast using Xkelet and Rhinocerus, alongside implementing an algorithmic model through Grasshopper plugin has dramatically reduced the designing process from 2 to 3 hours to 4–10 minutes, further increasing the number of patient scans that can be sequenced in a short duration. In this article, we introduce a streamlined algorithmic process for the use of 3D scanning and processing software to create forearm casts that are tailored to the patients’ dimensions. We emphasize the implementation of computer-aided design software for a quicker and more accurate design process. Lippincott Williams & Wilkins 2023-03-03 /pmc/articles/PMC9984158/ /pubmed/36875921 http://dx.doi.org/10.1097/GOX.0000000000004824 Text en Copyright © 2023 The Authors. Published by Wolters Kluwer Health, Inc. on behalf of The American Society of Plastic Surgeons. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.
spellingShingle Technology
Alshawaf, Solaiman M.
Burhamah, Waleed
Alwazzan, Sabika
AlYouha, Sarah
A Streamlined Algorithmic Process for Creating Three-dimensional Printed Forearm Casts
title A Streamlined Algorithmic Process for Creating Three-dimensional Printed Forearm Casts
title_full A Streamlined Algorithmic Process for Creating Three-dimensional Printed Forearm Casts
title_fullStr A Streamlined Algorithmic Process for Creating Three-dimensional Printed Forearm Casts
title_full_unstemmed A Streamlined Algorithmic Process for Creating Three-dimensional Printed Forearm Casts
title_short A Streamlined Algorithmic Process for Creating Three-dimensional Printed Forearm Casts
title_sort streamlined algorithmic process for creating three-dimensional printed forearm casts
topic Technology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9984158/
https://www.ncbi.nlm.nih.gov/pubmed/36875921
http://dx.doi.org/10.1097/GOX.0000000000004824
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