Weaver Douglas J, Deshmukh Shobit, Bashyal Ravi, Bagaria Vaibhav
Department of Orthopaedic Surgery and Rehabilitation Medicine, University of Chicago, Chicago, USA.
Department of Orthopaedic Surgery, Sir H.N. Reliance Foundation Hospital and Research Centre, Raja Rammohan Roy Road, Mumbai, 400004 India.
Indian J Orthop. 2024 Jun 11;58(8):1109-1117. doi: 10.1007/s43465-024-01200-9. eCollection 2024 Aug.
The use of robotic-assisted total knee arthroplasty (RA-TKA) is gaining traction. There is evidence to suggest that RA-TKA can help to optimize the precision and accuracy of implant positioning and that there may be protective effects on surrounding bony and soft tissues. Yet, there are important differences between the various RA-TKA systems currently on the market. One such newly introduced RA-TKA system uses imageless technology and performs bony cuts with the use of a burr-based device. The learning curve and complications unique to this system have yet to be assessed.
We evaluated 500 consecutive RA-TKA cases using a newly developed burr-based and imageless system which were done by a single surgeon between the months of October 2021 and February 2023. Operative times were recorded and compared to the previous 150 conventional TKA cases allowing for the learning curve to be calculated using the CUSUM method. Intraoperative and postoperative complications were categorically profiled.
The learning curve of this RA-TKA system was found to be 6 cases. Intraoperative complications included unintended bony over resection ( = 3), soft tissue injury ( = 2), and robotic system hardware ( = 2) or software ( = 2) malfunction. Postoperative complications consisted of superficial pin site infection ( = 1) and periprosthetic fracture near the pin sites ( = 1). There were no identified cases of prosthetic joint infection, instability events, or wound complications.
The learning curve and the complication profile of a newly introduced imageless and burr-based RA-TKA system were described. This information serves to guide surgeons in adopting this technology and can counsel them regarding the potential pitfalls and challenges associated with its integration into practice. The work sheds light on the complexity and learning curve of the recently released imageless burr-based RA-TKA system. This important information is intended to help surgeons accept this cutting-edge technology by providing advice on any errors and difficulties that can occur when integrating it into clinical practice. This information can help surgeons navigate the complexities of integrating this new burr-based robotic technology into knee replacement procedures, enabling them to make well-informed decisions and receive guidance.
机器人辅助全膝关节置换术(RA-TKA)的应用越来越广泛。有证据表明,RA-TKA有助于优化植入物定位的精度和准确性,并且可能对周围的骨骼和软组织有保护作用。然而,目前市场上的各种RA-TKA系统之间存在重要差异。一种新推出的RA-TKA系统采用无图像技术,并使用基于磨钻的设备进行骨切割。该系统独特的学习曲线和并发症尚未得到评估。
我们评估了连续500例使用新开发的基于磨钻的无图像系统进行的RA-TKA病例,这些病例由一位外科医生在2021年10月至2023年2月期间完成。记录手术时间,并与之前的150例传统TKA病例进行比较,以便使用累积和(CUSUM)方法计算学习曲线。对术中及术后并发症进行分类分析。
发现该RA-TKA系统的学习曲线为6例。术中并发症包括意外的骨过度切除(n = 3)、软组织损伤(n = 2)以及机器人系统硬件(n = 2)或软件(n = 2)故障。术后并发症包括浅表针道感染(n = 1)和针道附近的假体周围骨折(n = 1)。未发现假体关节感染、不稳定事件或伤口并发症的病例。
描述了一种新推出的基于磨钻的无图像RA-TKA系统的学习曲线和并发症情况。这些信息有助于指导外科医生采用这项技术,并就将其融入实践中可能存在的潜在陷阱和挑战为他们提供建议。这项工作揭示了最近推出的基于磨钻的无图像RA-TKA系统的复杂性和学习曲线。这些重要信息旨在通过提供将其融入临床实践时可能出现的任何错误和困难的建议,帮助外科医生接受这项前沿技术。这些信息可以帮助外科医生应对将这种新的基于磨钻的机器人技术融入膝关节置换手术的复杂性,使他们能够做出明智的决策并获得指导。