Properties and Implementation of 3-Dimensionally Printed Models in Spine Surgery: A Mixed-Methods Review With Meta-Analysis

Pearce, Patrick; Novak, James I.; Wijesekera, Akila; Loch-Wilkinson, Thorbjorn; Redmond, Michael; Winter, Craig; Maclachlan, Liam

doi:10.1016/j.wneu.2022.10.083

Cited by 6 publications

(5 citation statements)

References 63 publications

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“…It is, therefore, not an oil derivative but is produced by the bacterial fermentation of carbohydrates (corn, carp, cassava). The sterilization process is carried out with low-temperature sterilization, and 100% ethylene oxide is the standard protocol since it does not affect the physical or anatomical properties of the material [ 35 , 36 ]. At the same time, the use of PLA has its drawbacks since it has a low temperature of crystallization (55 °C) and melting (180 °C).…”

Section: Discussionmentioning

confidence: 99%

Low-Cost 3D Models for Cervical Spine Tumor Removal Training for Neurosurgery Residents

Sufianov,

Ovalle,

Cruz

et al. 2024

Brain Sciences

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Background and Objectives: Spinal surgery, particularly for cervical pathologies such as myelopathy and radiculopathy, requires a blend of theoretical knowledge and practical skill. The complexity of these conditions, often necessitating surgical intervention, underscores the need for intricate understanding and precision in execution. Advancements in neurosurgical training, especially with the use of low-cost 3D models for simulating cervical spine tumor removal, are revolutionizing this field. These models provide the realistic and hands-on experience crucial for mastering complex neurosurgical techniques, filling gaps left by traditional educational methods. Materials and Methods: This study aimed to assess the effectiveness of 3D-printed cervical vertebrae models in enhancing surgical skills, focusing on tumor removal, and involving 20 young neurosurgery residents. These models, featuring silicone materials to simulate the spinal cord and tumor tissues, provided a realistic training experience. The training protocol included a laminectomy, dural incision, and tumor resection, using a range of microsurgical tools, focusing on steps usually performed by senior surgeons. Results: The training program received high satisfaction rates, with 85% of participants extremely satisfied and 15% satisfied. The 3D models were deemed very realistic by 85% of participants, effectively replicating real-life scenarios. A total of 80% found that the simulated pathologies were varied and accurate, and 90% appreciated the models’ accurate tactile feedback. The training was extremely useful for 85% of the participants in developing surgical skills, with significant post-training confidence boosts and a strong willingness to recommend the program to peers. Conclusions: Continuing laboratory training for residents is crucial. Our model offers essential, accessible training for all hospitals, regardless of their resources, promising improved surgical quality and patient outcomes across various pathologies.

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Section: Discussionmentioning

confidence: 99%

Low-Cost 3D Models for Cervical Spine Tumor Removal Training for Neurosurgery Residents

Sufianov,

Ovalle,

Cruz

et al. 2024

Brain Sciences

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“…AM is a technology that has broad potential for the manufacture of customized orthopedic prostheses and implants for the patient, producing complex, functional and completely compatible components, including dental prostheses and implants, craniofacial or maxillofacial implants, medical and veterinary implants and medical devices from threedimensional models generated by the software and computed tomography data (Frank et al, 2013;Golubovi c et al, 2023;Pearce et al, 2023).…”

Section: Am Of Orthopedic Implantsmentioning

confidence: 99%

The “V” model for decision analysis of additive manufacturing implementation

Lima

Sátyro

Contador

et al. 2023

JMTM

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PurposeThis study aims to broaden the understanding of the additive manufacturing (AM) body of knowledge, presenting a model better suited to the current level of technological development that supports the decision to implement AM in industries, based on the experience of companies in the industry of orthopedic medical implants.Design/methodology/approachBased on the design-science research, the model for the decision to adopt the AM was designed and submitted to experts from the industry of orthopedic implants in Brazil for refinement. For the empirical test of the final model, interviews were used in a company that was considering implementing AM and in another that was not, to evaluate the model.FindingsThe model considers seven dimensions for decision analysis of AM implementation: legal constraints, financial, technological, operational, organizational, supply chain and external factors, being subdivided into 42 criteria that play a relevant role in the implementation decision. The analysis factor of each dimension and criteria are also presented.Originality/valueThe model seeks to be as complete as possible and can be used by various industrial productive sectors, incorporating the analysis of the requirements of health regulatory agencies, suitable for the analysis of the decision to implement AM for the manufacturing of medical implants, not found in other models.

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“…Neurosurgery is one of many disciplines increasingly looking to 3D printing to improve training (Maclachlan et al, 2021;Pearce et al, 2022). Also known as brain surgery, neurosurgery is regarded as one of the most difficult and intricate surgical disciplines, demanding significant training and proficiency from the medical practitioner undertaking the procedure (Mezger et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

“…Neurosurgery is one of many disciplines increasingly looking to 3D printing to improve training (Maclachlan et al. , 2021; Pearce et al. , 2022).…”

Section: Introductionmentioning

confidence: 99%

How safe are 3D-printed skull models for neurosurgical simulation? Measurement of airborne particles and VOCs while burr hole drilling

Dissanayaka,

Alexander,

Carluccio

et al. 2024

RPJ

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Purpose Three-dimensional (3D)printed skulls for neurosurgical training are increasingly being used due to the widespread access to 3D printing technology, their low cost and accuracy, as well as limitations and ethical concerns associated with using human cadavers. However, little is known about the risks of airborne particles or volatile organic compounds (VOCs) released while drilling into 3D-printed plastic models. The aim of this study is to assess the level of exposure to airborne contaminants while burr hole drilling. Design/methodology/approach 3D-printed skull samples were produced using three different materials (polyethylene terephthalate glycol [PETG], white resin and BoneSTN) across three different 3D print processes (fused filament fabrication, stereolithography [SLA] and material jetting). A neurosurgeon performed extended burr hole drilling for 10 min on each sample. Spot measurements of particulate matter (PM2.5 and PM10) were recorded, and air samples were analysed for approximately 90 VOCs. Findings The particulate matter for PETG was found to be below the threshold value for respirable particles. However, the particulate matter for white resin and BoneSTN was found to be above the threshold value at PM10, which could be harmful for long periods of exposure without personal protective equipment (PPE). The VOC measurements for all materials were found to be below safety thresholds, and therefore not harmful. Originality/value To the best of the authors’ knowledge, this is the first study to evaluate the safety of 3D-printed materials for burr hole surgical drilling. It recommends PETG as a safe material requiring minimal respiratory control measures, whereas resin-based materials will require safety controls to deal with airborne particles.

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Properties and Implementation of 3-Dimensionally Printed Models in Spine Surgery: A Mixed-Methods Review With Meta-Analysis

Cited by 6 publications

References 63 publications

Low-Cost 3D Models for Cervical Spine Tumor Removal Training for Neurosurgery Residents

Low-Cost 3D Models for Cervical Spine Tumor Removal Training for Neurosurgery Residents

The “V” model for decision analysis of additive manufacturing implementation

How safe are 3D-printed skull models for neurosurgical simulation? Measurement of airborne particles and VOCs while burr hole drilling

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