ArticleBioengineering (Basel, Switzerland)2020
Current Practice in Preoperative Virtual and Physical Simulation in Neurosurgery.
Article in Bioengineering (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Craniopharyngioma in children. An age-based analysis on our 11 year experience with the endoscopic endonasal approach.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2025Article
- Simulators with Haptic Feedback in Neurosurgery: Are We Reaching the "Aviator" Type of Training? Narrative Review and Future Perspectives.Life (Basel, Switzerland) · 2025Review
- Recent advances in 3D printing applications for CNS tumours.European journal of medical research · 2025Review
- Overcoming Barriers in Neurosurgical Education: Introducing a Simulator for Insular Glioma Resection with Fluorescence Imaging (SIGMA).Journal of clinical medicine · 2025Article
- Additive Manufacturing of 3D Anatomical Models-Review of Processes, Materials and Applications.Materials (Basel, Switzerland) · 2023Review
- Article
- CT-Derived 3D Printing for Coronary Artery Cannulation Simulator Design Manufacturing.Bioengineering (Basel, Switzerland) · 2022Article
- Advanced Manufacturing in the Fabrication of a Lifelike Brain Glioblastoma Simulator for the Training of Neurosurgeons.Polymers · 2022Article
- The "springform" technique in cranioplasty: custom made 3D-printed templates for intraoperative modelling of polymethylmethacrylate cranial implants.Acta neurochirurgica · 2022Article
- Traditional Artificial Neural Networks Versus Deep Learning in Optimization of Material Aspects of 3D Printing.Materials (Basel, Switzerland) · 2021Article
- 3D Printing of Physical Organ Models: Recent Developments and Challenges.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2021Review
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
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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