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显微吻合手术中主要机器人系统的比较评估:当前能力与未来潜力的系统评价

Comparative Evaluation of Major Robotic Systems in Microanastomosis Procedures: A Systematic Review of Current Capabilities and Future Potential.

作者信息

Cannizzaro Delia, Scalise Matteo, Zancanella Chiara, Paulli Stefano, Peron Stefano, Stefini Roberto

机构信息

Department of Neurosurgery, ASST Ovest Milano Legnano Hospital, 20025 Legnano, Italy.

Vita-Salute San Raffaele University, School of Medicine, Via Olgettina 58, 20132 Milan, Italy.

出版信息

Brain Sci. 2024 Dec 9;14(12):1235. doi: 10.3390/brainsci14121235.

Abstract

Robotic-assisted surgery has revolutionised modern medicine, enabling greater precision and control, particularly in microsurgical procedures. This systematic review evaluates the current state of robotic-assisted surgery across various specialties, focusing on four major robotic systems: Symani, Da Vinci, ZEUS, and MUSA. The review systematically analyses the effectiveness of these systems in performing vascular, lymphatic, and nervous anastomoses, comparing key metrics such as procedure time, success rates, and learning curves against manual techniques. It includes 48 studies, highlighting the technological capabilities and limitations of these systems in direct comparisons. Results indicate that while robotic procedures often take longer than manual methods, significant improvements in efficiency are observed as surgeons gain experience. Overall, this study provides insights into the future potential of robotic-assisted surgery and highlights areas that require further research. It ultimately aims to promote the application of robotic systems in cranial neurosurgery, with a particular focus on advancing neurovascular techniques, such as microsuturing for bypass procedures.

摘要

机器人辅助手术彻底改变了现代医学,能够实现更高的精准度和控制能力,尤其是在显微外科手术中。本系统评价评估了机器人辅助手术在各个专科的现状,重点关注四种主要的机器人系统:Symani、达芬奇、宙斯和MUSA。该评价系统地分析了这些系统在进行血管、淋巴管和神经吻合方面的有效性,将手术时间、成功率和学习曲线等关键指标与手工技术进行了比较。它纳入了48项研究,突出了这些系统在直接比较中的技术能力和局限性。结果表明,虽然机器人手术通常比手工方法耗时更长,但随着外科医生经验的积累,效率有显著提高。总体而言,本研究深入探讨了机器人辅助手术的未来潜力,并突出了需要进一步研究的领域。其最终目的是促进机器人系统在颅脑神经外科的应用,特别关注推进神经血管技术,如用于搭桥手术的显微缝合。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a61/11727038/63d1486be803/brainsci-14-01235-g001.jpg

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