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

2019 ◽  
Vol 130 (5) ◽  
pp. 1663-1671
Author(s):  
Ulas Cikla ◽  
Balkan Sahin ◽  
Sahin Hanalioglu ◽  
Azam S. Ahmed ◽  
David Niemann ◽  
...  

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.

2019 ◽  
Vol 47 (4) ◽  
pp. 290-295
Author(s):  
Ryo SUZUKI ◽  
Isao KITAHARA ◽  
Ataru FUKUDA ◽  
Hiroshi YONETANI ◽  
Tomoki YOKOCHI ◽  
...  

2018 ◽  
Vol 112 ◽  
pp. e113-e118
Author(s):  
Toshiyuki Okazaki ◽  
Shinsuke Irie ◽  
Toru Inagaki ◽  
Osamu Saito ◽  
Motoshige Yamashina ◽  
...  

2020 ◽  
Vol 48 (6) ◽  
pp. 434-438
Author(s):  
Masanao MOHRI ◽  
Naoyuki UCHIYAMA ◽  
Kouichi MISAKI ◽  
Yasuhiro AIDA ◽  
Yasuhiko HAYASHI ◽  
...  

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