• World Neurosurg · Sep 2024

    Advancing 3D Printed Burr Hole and Craniotomy Models for Neurosurgical Simulation through Multi-Material Methods.

    • Nalinda Dissanayaka, James I Novak, Hamish Alexander, Danilo Carluccio, and Luigi Jules-Vandi.
    • School of Chemical Engineering, Faculty of Engineering, Architecture and Information Technology, The University of Queensland, Brisbane, Australia; Herston Biofabrication Institute, Metro North Hospital and Health Service, Brisbane, Australia; Centre for Advanced Materials Processing and Manufacturing (AMPAM), The University of Queensland, Brisbane, Australia. Electronic address: diss.nalin@uq.edu.au.
    • World Neurosurg. 2024 Sep 17.

    Objective3D printing technology presents a promising avenue for the development of affordable neurosurgical simulation models, addressing many challenges related to the use of cadavers, animal models, and direct patient engagement. The aim of this study is to introduce and evaluate a new high-fidelity neurosurgical simulation model targeted for both burr hole and craniotomy procedures.MethodsTwelve different 3D printed skull models were manufactured using five different materials (PEEK, White Resin, Rigid10K, BoneSTN, SkullSTN) from three different 3D print processes (Fused Filament Fabrication, Stereolithography, Material Jetting). Six consultant neurosurgeons conducted burr holes and craniotomies on each sample while blinded to these manufacturing details. Participants completed a survey based on the qualities of the models, including; mechanical performance, visual appearance, interior feeling, exterior feeling, sound, overall quality, and recommendations for training purposes based on their prior experience completing these procedures on human skulls.ResultsThis study found that the multi-material stereolithography printed models consisting of White Resin for the outer table and Rigid 10K for the diploe and inner table were successful in replicating a human skull for burr hole and craniotomy simulation. This was followed by the porous General BoneSTN preset material on a Stratasys J750 Digital Anatomy Printer.ConclusionsThe findings indicate that widely accessible and economical desktop stereolithography 3D printers can provide an effective solution in neurosurgical training, thus promoting their integration in hospitals.Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved.

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