Byvaltsev Vadim A, Akshulakov Serik K, Polkin Roman A, Ochkal Sergey V, Stepanov Ivan A, Makhambetov Yerbol T, Kerimbayev Talgat T, Staren Michael, Belykh Evgenii, Preul Mark C
Irkutsk State Medical University, Krasnogo Vosstaniya St. 1, Irkutsk, Russia.
Irkutsk Scientific Center of Surgery and Traumatology, Bortsov Revolutsii St. 1, Irkutsk, Russia.
Minim Invasive Surg. 2018 Mar 28;2018:6130286. doi: 10.1155/2018/6130286. eCollection 2018.
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.
脑血管疾病是世界上最普遍的疾病之一,在很大程度上决定了发病率和死亡率的结构。微血管吻合技术对于头臂动脉和颈动脉的血管重建手术、复杂脑动脉瘤,甚至在切除阻塞大脑主要动脉的脑肿瘤时都很重要。随着病例接触减少和血管内技术使用的增加,微血管手术的培训变得更加困难。在本文中,我们将简要讨论微血管手术的历史,回顾当前关于模拟模型的文献,重点介绍其优缺点,并描述对神经外科微血管培训未来的观点和看法。在“干式”显微外科培训中,使用由模拟生物组织的人工材料制成的各种模型。培训更有经验的外科医生的下一阶段是使用非生物组织模型。由于存在血流,使用活体模型进行微血管培训被认为是最相关的。在实验动物上进行培训具有较高的表面效度和结构效度指标。显微外科技术发展的未来方向之一是使用机器人系统。机器人系统可能在培养下一代显微外科医生方面发挥作用。现代技术允许进入与真实环境极其相似的高精度学习环境。此外,显微外科技能评估应成为当前显微神经外科培训计划能力评估的基本组成部分。这样一种评估工具可用于确保在重新认证过程中保持一定水平的手术能力。重要的是,这种评估应基于经过验证的模型。