REVIEW
Manufatura aditiva (MA) ou impressão 3D consiste em uma tecnologia capaz de produzir objetos elaborados, sendo um método rápido de desenvolver protótipos ou produtos. Especificamente na Neurocirurgia Oncológica, a MA é útil no treinamento e aprimoramento de técnicas cirúrgicas e na compreensão do tumor e de suas relações com as estruturas adjacentes. Contudo, apesar dos recentes avanços, a aplicabilidade e a utilização da impressão 3D nessa especialidade ainda não são bem consolidadas. Assim, o objetivo deste estudo é revisar e analisar as principais aplicações dessa tecnologia na Neurocirurgia Oncológica. Para isso, foi realizada uma revisão sistemática utilizando os termos apropriados nas bases de dados PubMed e SciELO entre julho e dezembro de 2021. Os artigos foram classificados de acordo com sua aplicabilidade em Educação e Simulação e/ou Planejamento Cirúrgico. Foram constatados resultados positivos nos aspectos citados, com benefícios para os pacientes e equipe cirúrgica. Nesse sentido, a MA demostrou promover uma experiência prévia à cirurgia, auxiliando na predição do risco de ressecção, além de melhorar significativamente o entendimento da afecção e do procedimento. Conclui-se que mais estudos abordando o uso dessa tecnologia devem ser estimulados, especialmente em relação aos desfechos e benefícios ao longo prazo dentro da área.
Additive manufacturing (AM) or 3D printing consists of a technology capable of producing elaborate objects, being a quick method of developing prototypes or products. Specifically, in Oncologic Neurosurgery, AM is useful in training and improving surgical techniques, as in understanding the tumor and its relationships with adjacent structures. However, despite recent advances, the applicability and use of 3D printing in this specialty are still not well established. Thus, this study aims to review and analyze the main applications of this technology in Oncology Neurosurgery. For this, a systematic review was carried out using the appropriate terms in the PubMed and SciELO databases from July to December 2021. The articles were classified according to their applicability in Education and Simulation and/or Surgical Planning. Positive results were found in both aspects, with benefits for patients and the surgical team. In this sense, AM has been shown to promote an experience before surgery, helping to predict the risk of resection, in addition to significantly improving the understanding of the condition and the procedure. It is concluded that more studies addressing the use of this technology should be encouraged, especially concerning long-term outcomes and benefits within the subspecialty.
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1 Medical Student, Pontifical Catholic University of Parana, Curitiba (PR), Brazil.
2 Biomedical Sciences graduate, Neurological Institute of Curitiba, Curitiba (PR), Brazil.
3 MS, PhD, Neurosurgeon, Neurological Institute of Curitiba, Curitiba (PR), Brazil.
Received Feb 9, 2023
Corrected Mar 20, 2023
Accepted Mar 28, 2023
