What qualities are important for 3D printed neurosurgical training models? A survey of clinicians and other health professionals following an interactive exhibition

Novak, James I.; Maclachlan, Liam; Desselle, Mathilde R.; Haskell, Natalie; Fitzgerald, Kaecee; Redmond, Michael

doi:10.1016/j.stlm.2022.100060

Cited by 7 publications

(2 citation statements)

References 22 publications

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“…skull or spine), soft tissue (e.g. brain), vasculature and nerves, neurosurgical anatomy can be difficult to replicate, with literature suggesting haptics, accuracy and visual realism are the top three qualities required in 3D-printed models (Novak et al, 2022). Surgeons must commit to consistent practice to refine their skills and acquire a heightened sense of tactile feedback (Alaraj et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Introductionmentioning

confidence: 99%

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

Self Cite

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Preliminary colour characterisation of a Stratasys J750 digital anatomy printer with different fillings and face orientations

Badar,

Vandi,

Carluccio

et al. 2023

Prog Addit Manuf

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Multicolour capability in additive manufacturing could play a key role in certain applications such as surgical training and consumer products. However, the ability to accurately 3D print colours is not well documented and could affect the realism of models produced through these technologies. As a recent system, the Stratasys J750 Digital Anatomy Printer has yet to be analyzed for its colour perception and accuracy, which is quantified through this study. This will allow users of this and similar material jetting systems with an improved understanding of the relationship between digitally applied colours and their result when 3D printed, as well as the influence of certain settings. Thirty-three rectangular prism models with different CMYK and RGB colours, as well as infill materials, were printed on a Stratasys J750 DAP printer. These were scanned on five faces using a Nix Mini 2 handheld colour sensor, documenting readings in CIELAB format. The data were analyzed using the CIEDE2000 colour difference formula, and its recent modifications for 3D printed objects. Results found statistically significant and perceptive differences in colour accuracy among different colours, core materials, and face orientations. It was also observed that the addition of VeroPureWhite as filler material instead of the default SUP706 support improved colour accuracy. The study recommends the following steps to improve colour accuracy: (i) avoid the addition of black (K) manually in CMYK colour space, (ii) use pure white as the base infill material instead of support material, (iii) add a little white (~ 10%–30%) to make samples opaque instead of translucent.

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Advanced imaging and modeling in neonatal simulation

Arnold,

Vijayakumar,

Levy

2023

Seminars in Perinatology

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What qualities are important for 3D printed neurosurgical training models? A survey of clinicians and other health professionals following an interactive exhibition

Cited by 7 publications

References 22 publications

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

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

Preliminary colour characterisation of a Stratasys J750 digital anatomy printer with different fillings and face orientations

Advanced imaging and modeling in neonatal simulation

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