Vadalà Gianluca, Russo Fabrizio, Denaro Vincenzo
Operative Unit of Orthopaedic and Trauma Surgery, Campus Bio-Medico University Hospital Foundation, Rome, Italy; and.
Departmental Faculty of Medicine and Surgery, Campus Bio-Medico University of Rome, Italy.
Neurosurg Focus Video. 2025 Jul 1;13(1):V13. doi: 10.3171/2025.4.FOCVID2516. eCollection 2025 Jul.
This video demonstrates the robot-navigated minimally invasive transforaminal lumbar interbody fusion (MIS-TLIF) technique for spondylolisthesis. Navigation and robotics enhance accuracy in pedicle screw placement, reduce operative time and radiation exposure, and improve patient recovery. The case of a 70-year-old patient with L4-5 spondylolisthesis and spinal stenosis is presented. Key surgical steps include intraoperative imaging, preoperative planning, robot-guided screw placement, targeted decompression, and interbody cage implantation. The workflow optimizes safety and efficiency while minimizing tissue disruption. Postoperative imaging confirms precise implant positioning and spondylolisthesis correction, demonstrating how robotics and navigation contribute to superior surgical precision, reproducibility, and improved clinical outcomes. The video can be found here: https://stream.cadmore.media/r10.3171/2025.4.FOCVID2516.
本视频展示了机器人导航下微创经椎间孔腰椎椎间融合术(MIS-TLIF)治疗腰椎滑脱的技术。导航和机器人技术提高了椎弓根螺钉置入的准确性,减少了手术时间和辐射暴露,并改善了患者的恢复情况。本文介绍了一名70岁L4-5腰椎滑脱并伴有椎管狭窄患者的病例。关键手术步骤包括术中成像、术前规划、机器人引导下的螺钉置入、靶向减压和椎间融合器植入。该工作流程在优化安全性和效率的同时,将组织损伤降至最低。术后成像证实了植入物的精确放置和腰椎滑脱的矫正,展示了机器人技术和导航如何有助于实现卓越的手术精度、可重复性并改善临床结果。视频可在此处查看:https://stream.cadmore.media/r10.3171/2025.4.FOCVID2516 。