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A novel, low-cost, reusable, high-fidelity neurosurgical training simulator for cerebrovascular bypass surgery.

Abstract：

:OBJECTIVECerebrovascular bypass surgery is a challenging yet important neurosurgical procedure that is performed to restore circulation in the treatment of carotid occlusive diseases, giant/complex aneurysms, and skull base tumors. It requires advanced microsurgical skills and dedicated training in microsurgical techniques. Most available training tools, however, either lack the realism of the actual bypass surgery (e.g., artificial vessel, chicken wing models) or require special facilities and regulations (e.g., cadaver, live animal, placenta models). The aim of the present study was to design a readily accessible, realistic, easy-to-build, reusable, and high-fidelity simulator to train neurosurgeons or trainees on vascular anastomosis techniques even in the operating room.METHODSThe authors used an anatomical skull and brain model, artificial vessels, and a water pump to simulate both extracranial and intracranial circulations. They demonstrated the step-by-step preparation of the bypass simulator using readily available and affordable equipment and consumables.RESULTSAll necessary steps of a superficial temporal artery-middle cerebral artery bypass surgery (from skin opening to skin closure) were performed on the simulator under a surgical microscope. The simulator was used by both experienced neurosurgeons and trainees. Feedback survey results from the participants of the microsurgery course suggested that the model is superior to existing microanastomosis training kits in simulating real surgery conditions (e.g., depth, blood flow, anatomical constraints) and holds promise for widespread use in neurosurgical training.CONCLUSIONSWith no requirement for specialized laboratory facilities and regulations, this novel, low-cost, reusable, high-fidelity simulator can be readily constructed and used for neurosurgical training with various scenarios and modifications.

journal_name

J Neurosurg

journal_title

Journal of neurosurgery

authors

Cikla U,Sahin B,Hanalioglu S,Ahmed AS,Niemann D,Baskaya MK

doi

10.3171/2017.11.JNS17318

subject

Has Abstract

pub_date

2018-05-11 00:00:00

pages

1-9

eissn

0022-3085

issn

1933-0693

pii

2017.11.JNS17318

pub_type

杂志文章

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A novel, low-cost, reusable, high-fidelity neurosurgical training simulator for cerebrovascular bypass surgery.