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Current Practice in Preoperative Virtual and Physical Simulation in Neurosurgery

In brain tumor surgery, an appropriate and careful surgical planning process is crucial for surgeons and can determine the success or failure of the surgery. A deep comprehension of spatial relationships between tumor borders and surrounding healthy tissues enables accurate surgical planning that le...

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Autores principales: Mussi, Elisa, Mussa, Federico, Santarelli, Chiara, Scagnet, Mirko, Uccheddu, Francesca, Furferi, Rocco, Volpe, Yary, Genitori, Lorenzo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7175342/
https://www.ncbi.nlm.nih.gov/pubmed/31947718
http://dx.doi.org/10.3390/bioengineering7010007
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author Mussi, Elisa
Mussa, Federico
Santarelli, Chiara
Scagnet, Mirko
Uccheddu, Francesca
Furferi, Rocco
Volpe, Yary
Genitori, Lorenzo
author_facet Mussi, Elisa
Mussa, Federico
Santarelli, Chiara
Scagnet, Mirko
Uccheddu, Francesca
Furferi, Rocco
Volpe, Yary
Genitori, Lorenzo
author_sort Mussi, Elisa
collection PubMed
description In brain tumor surgery, an appropriate and careful surgical planning process is crucial for surgeons and can determine the success or failure of the surgery. A deep comprehension of spatial relationships between tumor borders and surrounding healthy tissues enables accurate surgical planning that leads to the identification of the optimal and patient-specific surgical strategy. A physical replica of the region of interest is a valuable aid for preoperative planning and simulation, allowing the physician to directly handle the patient’s anatomy and easily study the volumes involved in the surgery. In the literature, different anatomical models, produced with 3D technologies, are reported and several methodologies were proposed. Many of them share the idea that the employment of 3D printing technologies to produce anatomical models can be introduced into standard clinical practice since 3D printing is now considered to be a mature technology. Therefore, the main aim of the paper is to take into account the literature best practices and to describe the current workflow and methodology used to standardize the pre-operative virtual and physical simulation in neurosurgery. The main aim is also to introduce these practices and standards to neurosurgeons and clinical engineers interested in learning and implementing cost-effective in-house preoperative surgical planning processes. To assess the validity of the proposed scheme, four clinical cases of preoperative planning of brain cancer surgery are reported and discussed. Our preliminary results showed that the proposed methodology can be applied effectively in the neurosurgical clinical practice both in terms of affordability and in terms of simulation realism and efficacy.
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spelling pubmed-71753422020-04-28 Current Practice in Preoperative Virtual and Physical Simulation in Neurosurgery Mussi, Elisa Mussa, Federico Santarelli, Chiara Scagnet, Mirko Uccheddu, Francesca Furferi, Rocco Volpe, Yary Genitori, Lorenzo Bioengineering (Basel) Article In brain tumor surgery, an appropriate and careful surgical planning process is crucial for surgeons and can determine the success or failure of the surgery. A deep comprehension of spatial relationships between tumor borders and surrounding healthy tissues enables accurate surgical planning that leads to the identification of the optimal and patient-specific surgical strategy. A physical replica of the region of interest is a valuable aid for preoperative planning and simulation, allowing the physician to directly handle the patient’s anatomy and easily study the volumes involved in the surgery. In the literature, different anatomical models, produced with 3D technologies, are reported and several methodologies were proposed. Many of them share the idea that the employment of 3D printing technologies to produce anatomical models can be introduced into standard clinical practice since 3D printing is now considered to be a mature technology. Therefore, the main aim of the paper is to take into account the literature best practices and to describe the current workflow and methodology used to standardize the pre-operative virtual and physical simulation in neurosurgery. The main aim is also to introduce these practices and standards to neurosurgeons and clinical engineers interested in learning and implementing cost-effective in-house preoperative surgical planning processes. To assess the validity of the proposed scheme, four clinical cases of preoperative planning of brain cancer surgery are reported and discussed. Our preliminary results showed that the proposed methodology can be applied effectively in the neurosurgical clinical practice both in terms of affordability and in terms of simulation realism and efficacy. MDPI 2020-01-03 /pmc/articles/PMC7175342/ /pubmed/31947718 http://dx.doi.org/10.3390/bioengineering7010007 Text en © 2020 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Mussi, Elisa
Mussa, Federico
Santarelli, Chiara
Scagnet, Mirko
Uccheddu, Francesca
Furferi, Rocco
Volpe, Yary
Genitori, Lorenzo
Current Practice in Preoperative Virtual and Physical Simulation in Neurosurgery
title Current Practice in Preoperative Virtual and Physical Simulation in Neurosurgery
title_full Current Practice in Preoperative Virtual and Physical Simulation in Neurosurgery
title_fullStr Current Practice in Preoperative Virtual and Physical Simulation in Neurosurgery
title_full_unstemmed Current Practice in Preoperative Virtual and Physical Simulation in Neurosurgery
title_short Current Practice in Preoperative Virtual and Physical Simulation in Neurosurgery
title_sort current practice in preoperative virtual and physical simulation in neurosurgery
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7175342/
https://www.ncbi.nlm.nih.gov/pubmed/31947718
http://dx.doi.org/10.3390/bioengineering7010007
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