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10.1155/2018/6130286

http://scihub22266oqcxt.onion/10.1155/2018/6130286
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C5896222!5896222!29796313
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suck abstract from ncbi


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pmid29796313      Minim+Invasive+Surg 2018 ; 2018 (ä): ä
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  • Microvascular Anastomosis Training in Neurosurgery: A Review #MMPMID29796313
  • Byvaltsev VA; Akshulakov SK; Polkin RA; Ochkal SV; Stepanov IA; Makhambetov YT; Kerimbayev TT; Staren M; Belykh E; Preul MC
  • Minim Invasive Surg 2018[]; 2018 (ä): ä PMID29796313show ga
  • Cerebrovascular diseases are among the most widespread diseases in the world, which largely determine the structure of morbidity and mortality rates. Microvascular anastomosis techniques are important for revascularization surgeries on brachiocephalic and carotid arteries and complex cerebral aneurysms and even during resection of brain tumors that obstruct major cerebral arteries. Training in microvascular surgery became even more difficult with less case exposure and growth of the use of endovascular techniques. In this text we will briefly discuss the history of microvascular surgery, review current literature on simulation models with the emphasis on their merits and shortcomings, and describe the views and opinions on the future of the microvascular training in neurosurgery. In ?dry? microsurgical training, various models created from artificial materials that simulate biological tissues are used. The next stage in training more experienced surgeons is to work with nonliving tissue models. Microvascular training using live models is considered to be the most relevant due to presence of the blood flow. Training on laboratory animals has high indicators of face and constructive validity. One of the future directions in the development of microsurgical techniques is the use of robotic systems. Robotic systems may play a role in teaching future generations of microsurgeons. Modern technologies allow access to highly accurate learning environments that are extremely similar to real environment. Additionally, assessment of microsurgical skills should become a fundamental part of the current evaluation of competence within a microneurosurgical training program. Such an assessment tool could be utilized to ensure a constant level of surgical competence within the recertification process. It is important that this evaluation be based on validated models.
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