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3D-Printed Disease Models for Neurosurgical Planning, Simulation, and Training
Spatial insight into intracranial pathology and structure is important for neurosurgeons to perform safe and successful surgeries. Three-dimensional (3D) printing technology in the medical field has made it possible to produce intuitive models that can help with spatial perception. Recent advances i...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Korean Neurosurgical Society
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9271812/ https://www.ncbi.nlm.nih.gov/pubmed/35762226 http://dx.doi.org/10.3340/jkns.2021.0235 |
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author | Park, Chul-Kee |
author_facet | Park, Chul-Kee |
author_sort | Park, Chul-Kee |
collection | PubMed |
description | Spatial insight into intracranial pathology and structure is important for neurosurgeons to perform safe and successful surgeries. Three-dimensional (3D) printing technology in the medical field has made it possible to produce intuitive models that can help with spatial perception. Recent advances in 3D-printed disease models have removed barriers to entering the clinical field and medical market, such as precision and texture reality, speed of production, and cost. The 3D-printed disease model is now ready to be actively applied to daily clinical practice in neurosurgical planning, simulation, and training. In this review, the development of 3D-printed neurosurgical disease models and their application are summarized and discussed. |
format | Online Article Text |
id | pubmed-9271812 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Korean Neurosurgical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-92718122022-07-19 3D-Printed Disease Models for Neurosurgical Planning, Simulation, and Training Park, Chul-Kee J Korean Neurosurg Soc Review Article Spatial insight into intracranial pathology and structure is important for neurosurgeons to perform safe and successful surgeries. Three-dimensional (3D) printing technology in the medical field has made it possible to produce intuitive models that can help with spatial perception. Recent advances in 3D-printed disease models have removed barriers to entering the clinical field and medical market, such as precision and texture reality, speed of production, and cost. The 3D-printed disease model is now ready to be actively applied to daily clinical practice in neurosurgical planning, simulation, and training. In this review, the development of 3D-printed neurosurgical disease models and their application are summarized and discussed. Korean Neurosurgical Society 2022-07 2022-06-28 /pmc/articles/PMC9271812/ /pubmed/35762226 http://dx.doi.org/10.3340/jkns.2021.0235 Text en Copyright © 2022 The Korean Neurosurgical Society https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0 (https://creativecommons.org/licenses/by-nc/4.0/) ) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Review Article Park, Chul-Kee 3D-Printed Disease Models for Neurosurgical Planning, Simulation, and Training |
title | 3D-Printed Disease Models for Neurosurgical Planning, Simulation, and Training |
title_full | 3D-Printed Disease Models for Neurosurgical Planning, Simulation, and Training |
title_fullStr | 3D-Printed Disease Models for Neurosurgical Planning, Simulation, and Training |
title_full_unstemmed | 3D-Printed Disease Models for Neurosurgical Planning, Simulation, and Training |
title_short | 3D-Printed Disease Models for Neurosurgical Planning, Simulation, and Training |
title_sort | 3d-printed disease models for neurosurgical planning, simulation, and training |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9271812/ https://www.ncbi.nlm.nih.gov/pubmed/35762226 http://dx.doi.org/10.3340/jkns.2021.0235 |
work_keys_str_mv | AT parkchulkee 3dprinteddiseasemodelsforneurosurgicalplanningsimulationandtraining |