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Article

Production of Synthetic Models for Neuro-Oncology Training by Additive Manufacturing

1
Department of Neurosurgery, Faculty of Medicine, Lucian Blaga University, 550024 Sibiu, Romania
2
Mechanical Engineering Department, Edificio de Ingenierías, Campus de Tafira Baja, Universidad de Las Palmas de Gran Canaria, 35017 Las Palmas, Spain
3
Department of Engineering, University of Rome “Niccolò Cusano”, INSTM RU, Via Don Carlo Gnocchi 3, 00166 Rome, Italy
*
Author to whom correspondence should be addressed.
Academic Editor: Manoj Gupta
Appl. Sci. 2021, 11(24), 11823; https://doi.org/10.3390/app112411823
Received: 16 November 2021 / Revised: 6 December 2021 / Accepted: 10 December 2021 / Published: 13 December 2021
Neurosurgery is one of the medical specialties in which the practical training of students is more limiting since it requires a high degree of preparation for the interventions to be satisfactory. That is why the manufacture of synthetic models through additive manufacturing (AM) arises to develop the skills that the neurosurgeon requires. The present work is aimed at validating the use of AM for the neurosurgery training. To this regard, a meningioma case study was considered, and suitable materials and more appropriate AM technology were identified for a low-cost production of synthetic models of both skulls and brains with tumors. The skull was manufactured by material extrusion AM with two materials, a commercial composite filament composed of polylactic acid (PLA) with calcium carbonate (used in the area to be treated during the cutting process, due to its mechanical properties more comparable to those of the native bone, with 30% infill density) and standard PLA without additives (used in the rest of the model, with 20% infill density). On the other hand, different casting silicones in different proportions were tested under compression molding to find the best combination to mimic the brain and tumor. Ten synthetic models of a real-case meningioma were manufactured and used as training material by students in the neurosurgery sector, who rated the proposed training approach very highly, considering the employment of printed models as a key resource for improving their surgical skills. View Full-Text
Keywords: additive manufacturing; synthetic models; skull; brains with tumors; neurosurgery; segmentation additive manufacturing; synthetic models; skull; brains with tumors; neurosurgery; segmentation
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MDPI and ACS Style

Saceleanu, V.; Paz, R.; García, J.; Rivero, Y.; Cîndea, C.-N.; Cacciotti, I.; Monzón, M. Production of Synthetic Models for Neuro-Oncology Training by Additive Manufacturing. Appl. Sci. 2021, 11, 11823. https://doi.org/10.3390/app112411823

AMA Style

Saceleanu V, Paz R, García J, Rivero Y, Cîndea C-N, Cacciotti I, Monzón M. Production of Synthetic Models for Neuro-Oncology Training by Additive Manufacturing. Applied Sciences. 2021; 11(24):11823. https://doi.org/10.3390/app112411823

Chicago/Turabian Style

Saceleanu, Vicentiu, Rubén Paz, Joshua García, Yamilet Rivero, Cosmin-Nicodim Cîndea, Ilaria Cacciotti, and Mario Monzón. 2021. "Production of Synthetic Models for Neuro-Oncology Training by Additive Manufacturing" Applied Sciences 11, no. 24: 11823. https://doi.org/10.3390/app112411823

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