DOI 10.1016/j.wneu.2021.10.069
Three-Dimensional Printing in Neurosurgery Residency Training: A Systematic Review of the Literature.
Аннотация
BACKGROUND
The use of three-dimensional (3D) printing in neurosurgery has become more prominent in recent years for surgical training, preoperative planning, and patient education. Several smaller studies are available using 3D printing; however, there is a lack of a concise review. This article provides a systematic review of 3D models in use by neurosurgical residents, with emphasis on training, learning, and simulation.
METHODS
A structured literature search of PubMed and Embase was conducted using PRISMA guidelines to identify publications specific to 3D models trialed on neurosurgical residents. Criteria for eligibility included articles discussing only neurosurgery, 3D models in neurosurgery, and models specifically tested or trialed on residents.
RESULTS
Overall, 40 articles were identified that met inclusion criteria. These studies encompassed different neurosurgical areas including aneurysm, spine, craniosynostosis, transsphenoidal, craniotomy, skull base, and tumor. Most articles were related to brain surgery. Of these studies, vascular surgery had the highest overall, with 13 of 40 articles, which include aneurysm clipping and other neurovascular surgeries. Twenty-two articles discussed cranial plus tumor surgeries, which included skull base, craniotomy, craniosynostosis, and transsphenoidal. Five studies were specific to spine surgery. Subjective outcome measures of neurosurgical residents were most commonly implemented, of which results were almost unanimously positive.
CONCLUSIONS
3D printing technology is rapidly expanding in health care and neurosurgery in particular. The technology is quickly improving, and several studies have shown the effectiveness of 3D printing for neurosurgical residency education and training.
Предметные рубрики MeSH
Подготовка и перевод публикации
Обработка статьи · этапы, ошибки и управление
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Тип публикации указан по данным источника. Уровень доказательности автоматически не присваивается.