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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/17557

Title: Surgical training technology for cerebrovascular anastomosis
Authors: Higurashi, Masakazu
Qian, Yi
Zecca, Massimiliano
Park, Young-Kwang
Umezu, Mitsuo
Morgan, Michael K.
Keywords: Anastomosis
Cerebrovascular surgeon
Surgical training
Issue Date: 2014
Publisher: © Elsevier Ltd.
Citation: HIGURASHI, M. ... et al, 2014. Surgical training technology for cerebrovascular anastomosis. Journal of Clinical Neuroscience, 21 (4), pp. 554 - 558.
Abstract: Cerebrovascular anastomosis (for example in the management of Moyamoya disease or complex aneurysms) is a rarely performed but essential procedure in neurosurgery. Because of the complexity of this technique and the infrequent clinical opportunities to maintain skills relevant to this surgery, laboratory training is important to develop a consistent and competent performance of cerebrovascular anastomosis. We reviewed the literature pertaining to the training practices surrounding cerebrovascular anastomosis in order to understand the ways in which trainees should best develop these skills. A wide variety of training methods have been described. These may be classified into five general categories, according to training materials used, being synthetic material, living animal, animal carcass, human cadaver, and computer simulation. Ideally, a novice begins training with non-biological material. After gaining sufficient dexterity, the trainee will be able to practice using biological materials followed by high fidelity models prior to actual surgery. Unfortunately, the effectiveness of each model has generally, to our knowledge, only been judged subjectively. Objective quantification methods are necessary to accelerate the acquisition of competence.
Description: This article is closed access.
Version: Published
DOI: 10.1016/j.jocn.2013.07.029
URI: https://dspace.lboro.ac.uk/2134/17557
Publisher Link: http://dx.doi.org/10.1016/j.jocn.2013.07.029
ISSN: 0967-5868
Appears in Collections:Closed Access (Mechanical, Electrical and Manufacturing Engineering)

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