Current Practice in Preoperative Virtual and Physical Simulation in Neurosurgery.

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ID: 81144
2020
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Abstract
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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mussi2020currentbioengineering Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Mussi, Elisa;Mussa, Federico;Santarelli, Chiara;Scagnet, Mirko;Uccheddu, Francesca;Furferi, Rocco;Volpe, Yary;Genitori, Lorenzo;
Journal Bioengineering (Basel, Switzerland)
Year 2020
DOI
E7
URL
Keywords
3d printing Cancer brain neurosurgery preoperative planning additive manufacturing physical simulation 3d casting computer aided design virtual planning

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