Huang Yi, Wang Yan
Nankai University School of Medicine, Tianjin, 300071, P. R. China.
Senior Department of Orthopedics, General Hospital of Chinese PLA, Beijing, 100853, P. R. China.
Zhongguo Xiu Fu Chong Jian Wai Ke Za Zhi. 2024 Aug 15;38(8):904-910. doi: 10.7507/1002-1892.202404109.
Spanning two decades since the 1st generation spinal robotics inception, the robot-assisted spine surgery (RSS) technology has evolved through generations, culminating in the 4th generation characterized by real-time visual navigation and wire-free screw placement. The fundamental principles of RSS technology include surgical planning, tracking, image registration, and robotic arm control technologies. Currently, RSS technology is maturely employed in thoracolumbar procedures and is progressively being applied in cervical surgeries, spinal tumor resections, and percutaneous operations, offering advantages in reducing tissue trauma and exposure to radiation, thereby improving patient outcomes. Emerging research also focuses on the cost-effectiveness of clinical applications and robot-specific complications. With the integration of artificial intelligence into surgical planning, RSS technology is poised to further incorporate emerging technologies and expand its application across a broader clinical spectrum.
自第一代脊柱机器人诞生以来的二十年间,机器人辅助脊柱手术(RSS)技术历经了多代发展,最终形成了以实时视觉导航和无导线螺钉植入为特征的第四代技术。RSS技术的基本原理包括手术规划、跟踪、图像配准和机器人手臂控制技术。目前,RSS技术已在胸腰椎手术中成熟应用,并逐渐应用于颈椎手术、脊柱肿瘤切除和经皮手术,在减少组织创伤和辐射暴露方面具有优势,从而改善患者预后。新兴研究还聚焦于临床应用的成本效益和机器人特有的并发症。随着人工智能融入手术规划,RSS技术有望进一步整合新兴技术,并在更广泛的临床领域拓展应用。