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机器人脊柱手术——提高安全性的手术技术与细微差别

Robotic spine surgery - Surgical technique and nuances for improving safety.

作者信息

Lai Mun Chun, Sundaram Pirateb Paramasivam Meenakshi, Kaliya-Perumal Arun-Kumar, Oh Jacob Yoong-Leong

机构信息

Division of Spine, Department of Orthopaedic Surgery, Tan Tock Seng Hospital, Singapore.

Rehabilitation Research Institute of Singapore, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore.

出版信息

Biomedicine (Taipei). 2025 Mar 1;15(1):1-5. doi: 10.37796/2211-8039.1644. eCollection 2025.

DOI:10.37796/2211-8039.1644
PMID:40176860
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11959973/
Abstract

The integration of robotic technology into spinal surgery has led to a remarkable transformation, offering improved precision and safety. The "CT-Fluoro merge" and "Scan-and-Plan" methods for pedicle screw application promise numerous advantages, minimizing risks associated with traditional approaches. Our early series of patients who underwent robot-assisted pedicle screw placements for various indications, predominantly lumbar spondylosis, revealed no complications related to screws, neurological deficits, or unplanned returns to the operating theatre, thus emphasizing the safety and effectiveness of the robot. Studies have consistently demonstrated the superiority of robot-assisted pedicle screw placement in terms of accuracy, with decreasing rates of technical issues indicating improvements in reliability and precision. Our experiences align with these findings, signalling the emergence of robotic spine surgery as the forthcoming standard of care in the field. This short communication explores the steps involved in robotic pedicle screw placement, discusses nuances for improving safety, and emphasizes its benefits and implications for the future of spinal care.

摘要

将机器人技术整合到脊柱手术中带来了显著变革,提高了手术的精准度和安全性。用于椎弓根螺钉植入的“CT-荧光融合”和“扫描与规划”方法具有诸多优势,将传统方法相关的风险降至最低。我们早期的一系列患者因各种适应症接受了机器人辅助椎弓根螺钉植入手术,主要是腰椎间盘突出症,结果显示未出现与螺钉相关的并发症、神经功能缺损或意外重返手术室的情况,从而强调了机器人的安全性和有效性。研究一直表明,机器人辅助椎弓根螺钉植入在准确性方面具有优越性,技术问题发生率的降低表明可靠性和精准度有所提高。我们的经验与这些发现一致,标志着机器人脊柱手术即将成为该领域的标准治疗方法。本简短通讯探讨了机器人椎弓根螺钉植入所涉及的步骤,讨论了提高安全性的细微差别,并强调了其对脊柱护理未来的益处和影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0380/11959973/412354a49c12/bmed-15-01-001f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0380/11959973/b131051aac40/bmed-15-01-001f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0380/11959973/b923aa621710/bmed-15-01-001f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0380/11959973/fe3024f6088d/bmed-15-01-001f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0380/11959973/412354a49c12/bmed-15-01-001f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0380/11959973/b131051aac40/bmed-15-01-001f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0380/11959973/b923aa621710/bmed-15-01-001f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0380/11959973/fe3024f6088d/bmed-15-01-001f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0380/11959973/412354a49c12/bmed-15-01-001f4.jpg

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Robotic-assisted spine surgery-a narrative review.机器人辅助脊柱手术——一篇叙述性综述。
J Spine Surg. 2024 Jun 21;10(2):305-312. doi: 10.21037/jss-23-40. Epub 2024 May 15.
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Navigation-Guided/Robot-Assisted Spinal Surgery: A Review Article.导航引导/机器人辅助脊柱手术:一篇综述文章。
Neurospine. 2024 Mar;21(1):8-17. doi: 10.14245/ns.2347184.592. Epub 2024 Mar 31.
3
Spine Surgical Robotics: Current Status and Recent Clinical Applications.脊柱外科机器人技术:现状与近期临床应用
Neurospine. 2023 Dec;20(4):1256-1271. doi: 10.14245/ns.2346610.305. Epub 2023 Dec 31.
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Pedicle Screw Placement Accuracy in Robot-Assisted Spinal Fusion in a Multicenter Study.机器人辅助脊柱融合术多中心研究中椎弓根螺钉置钉准确性。
Ann Biomed Eng. 2023 Nov;51(11):2518-2527. doi: 10.1007/s10439-023-03291-1. Epub 2023 Jul 17.
5
CT-to-fluoroscopy registration versus scan-and-plan registration for robot-assisted insertion of lumbar pedicle screws.CT 透视配准与扫描与计划配准在腰椎椎弓根螺钉机器人辅助植入中的比较。
Neurosurg Focus. 2022 Jan;52(1):E8. doi: 10.3171/2021.10.FOCUS21506.
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Learning curves in robot-assisted spine surgery: a systematic review and proposal of application to residency curricula.机器人辅助脊柱手术的学习曲线:系统评价及对住院医师培训课程应用的建议。
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Robot Surg. 2019 Nov 7;6:9-23. doi: 10.2147/RSRR.S190720. eCollection 2019.
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