J Korean Neurosurg Soc.  2022 Jul;65(4):489-498. 10.3340/jkns.2021.0235.

3D-Printed Disease Models for Neurosurgical Planning, Simulation, and Training

• Park CK

• KMID: 2531617
• DOI: http://doi.org/10.3340/jkns.2021.0235

Abstract

Spatial insight into intracranial pathology and structure is important for neurosurgeons to perform safe and successful surgeries. Three-dimensional (3D) printing technology in the medical field has made it possible to produce intuitive models that can help with spatial perception. Recent advances in 3D-printed disease models have removed barriers to entering the clinical field and medical market, such as precision and texture reality, speed of production, and cost. The 3D-printed disease model is now ready to be actively applied to daily clinical practice in neurosurgical planning, simulation, and training. In this review, the development of 3D-printed neurosurgical disease models and their application are summarized and discussed.

Keyword

3-dimensional printing; Stereolithography; Surgical navigation; Simulation training

Figure

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  Fig. 1. Annual distribution of the number of papers on three-dimensional (3D)-printed disease models for surgical planning, simulation, and training in the neurosurgical field published in English literature. *From January to August.

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  Fig. 2. The representative patient-specific three-dimensional (3D)-printed disease models. A : Spinal disease model of lumbar stenosis. B : Cerebrovascular disease model of arteriovenous malformation. C : Brain tumor model of insular glioma.

Reference

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