KMID : 1001920220650040489
|
|
Journal of Korean Neurosurgical Society 2022 Volume.65 No. 4 p.489 ~ p.498
|
|
3D-Printed Disease Models for Neurosurgical Planning, Simulation, and Training
|
|
Park Chul-Kee
|
|
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
|
|
FullTexts / Linksout information
|
|
|
|
Listed journal information
|
|
|
|