robotically-assisted total knee arthroplasty

机器人辅助全膝关节置换术
  • 文章类型: Journal Article
    目标:已经开发了机器人工具来改进计划,全膝关节置换术(TKA)的准确性和结局。这项研究的目的是描述和说明一种使用无图像机器人平台评估TKA中髌股(PFJ)的新技术。
    方法:由一名外科医生利用所述技术进行连续的30个R-TKA系列。一种术中动态评估PFJ的技术,植入前后发展。然后收集9例病例的全套数据并进行分析。介绍了植入前后在术中收集的一系列动态PFJ轨迹。此外,说明了通过90°弯曲弧对PFJ上方和下方填充的全面评估。最后,定义并测量了PFJ的前后旋转中心。
    结果:使用所描述的机器人平台在一系列R-TKA上定义所描述的技术。分析了9个案例,以确定可以使用机器人平台测量哪些数据。术中实时数据允许通过植入前后0°至90°屈曲的运动范围对PFJ跟踪进行视觉评估。术中还通过0°至90°屈曲的运动范围评估PFJ过度和填充不足。术后分析允许进行更详细的研究,包括限定髌骨的植入前后旋转中心(COR)。定义COR允许髌骨平面的定义。此外,髌骨完全伸展的正外侧移位,和末端弯曲可以测量。
    结论:TKA中PFJ的术中评估具有挑战性。已经开发了机器人工具来改善测量,TKA分娩的准确性和结果。这些工具可以以新颖的方式进行调整,以评估PFJ,这可能会导致TKA技术的进一步改进。
    OBJECTIVE: Robotic-tools have been developed to improve planning, accuracy and outcomes in total knee arthroplasty (TKA). The purpose of this study was to describe and illustrate a novel technique for assessing the patellofemoral (PFJ) in TKA using an imageless robotic platform.
    METHODS: A consecutive series of 30 R-TKA were undertaken by a single-surgeon utilising the described technique. A technique to dynamically assess the PFJ intra-operatively, pre and post implantation was developed. A full set of data from 9 cases was then collected and reviewed for analysis. A series of dynamic PFJ tracks collected intra-operatively pre and post implantation are presented. Furthermore, a full assessment of PFJ over and under-stuffing through a 90° arc of flexion is illustrated. Finally, a pre and post centre of rotation for the PFJ was defined and measured.
    RESULTS: The described technique was defined over a series of 30 R-TKA using the described robotic platform. Nine cases were analysed to determine what data could be measured using the robotic platform. Intra-operative real-time data allowed a visual assessment of PFJ tracking through a range of motion of 0° to 90° flexion pre and post-implantation. PFJ over and under-stuffing was also assessed intra-operatively through a range of motion of 0° to 90° flexion. Post operative analysis allowed a more detailed study to be performed, including defining a pre and post implantation centre of rotation (COR) for the patella. Defining the COR allowed the definition of a patella plane. Furthermore, patella mediolateral shift in full extension, and end flexion could be measured.
    CONCLUSIONS: Intra-operative assessment of the PFJ in TKA is challenging. Robotic tools have been developed to improve measurement, accuracy of delivery and outcomes in TKA. These tools can be adapted in novel ways to assess the PFJ, which may lead to further refinements in TKA techniques.
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  • 文章类型: Journal Article
    目的:本研究旨在比较使用间隙平衡技术的基于图像(MAKO)系统与使用股骨先测量切除技术的无图像(OMNIbot)机器人工具的效果。
    方法:对接受原发性TKA的患者进行了一项回顾性队列研究,由一名外科医生使用MAKO或OMNIbot机器人系统进行功能对准。在所有情况下,外科医生的目标是创造一个平衡的膝盖和正确的矢状畸形(消除任何固定的屈曲畸形)。比较了术中数据和患者报告的结果(PROMS)。
    结果:共分析了207个MAKOTKA和298个OMNIbotTKA。MAKOTKA患者比OMNIbot患者年轻(67vs69,p=0.002)。没有其他人口统计学或术前对齐差异。关于植入物的定位,在MAKOTKAs中,股骨组件相对于后髁轴的外部旋转更多(2.3°vs0.1°,p<0.001),股骨外翻切口较少(1.6°vs2.7°外翻,p<0.001)和更多的内翻胫骨切口(2.4°与1.9°内翻,p<0.001),与OMNIbotTKAs相比,切除的骨头更多。OMNIbot病例比MAKO更可能需要胫骨重新切割(15%对2%,p<0.001)。股骨重切率没有差异,软组织释放,或机器人系统之间实现目标冠状和矢状腿对齐的速率。对100个MAKO和100个OMNIbot倾向匹配的TKA进行12个月随访的亚组分析显示,OKS(42vs43,p=0.7)或OKSPASS评分(83%vs91%,p=0.1)。根据他们的KOOS症状评分,MAKOTKAs报告的症状明显优于OMNIbotTKAs患者(87vs82,p=0.02),KOOS通过率比例较高,在稍长的随访时间(20个月比14个月,p<0.001)。在PROMS中没有其他差异。
    结论:与基于图像的机器人系统(MAKO)的间隙平衡技术相比,使用无图像机器人系统(OMNIbot)的股骨先测量切除技术可导致不同的植入物定位和骨切除,并减少了胫骨再切。无论这些差异如何,两种系统在短期随访中均可实现相同的冠状和矢状畸形矫正以及良好的患者预后。
    This study aimed to compare the effect of an image-based (MAKO) system using a gap-balancing technique with an imageless (OMNIbot) robotic tool utilising a femur-first measured resection technique.
    A retrospective cohort study was performed on patients undergoing primary TKA with a functional alignment philosophy performed by a single surgeon using either the MAKO or OMNIbot robotic systems. In all cases, the surgeon\'s goal was to create a balanced knee and correct sagittal deformity (eliminate any fixed flexion deformity). Intra-operative data and patient-reported outcomes (PROMS) were compared.
    A total of 207 MAKO TKA and 298 OMNIbot TKAs were analysed. MAKO TKA patients were younger (67 vs 69, p=0.002) than OMNIbot patients. There were no other demographic or pre-operative alignment differences. Regarding implant positioning, in MAKO TKAs the femoral component was more externally rotated in relation to the posterior condylar axis (2.3° vs 0.1°, p<0.001), had less valgus femoral cuts (1.6° vs 2.7° valgus, p<0.001) and more varus tibial cuts (2.4° vs 1.9° varus, p<0.001), and had more bone resected compared to OMNIbot TKAs. OMNIbot cases were more likely to require tibial re-cuts than MAKO (15% vs 2%, p<0.001). There were no differences in femur recut rates, soft tissue releases, or rate of achieving target coronal and sagittal leg alignment between robotic systems. A subgroup analysis of 100 MAKO and 100 OMNIbot propensity-matched TKAs with 12-month follow-up showed no significant difference in OKS (42 vs 43, p=0.7) or OKS PASS scores (83% vs 91%, p=0.1). MAKO TKAs reported significantly better symptoms according to their KOOS symptoms score than patients that had OMNIbot TKAs (87 vs 82, p=0.02) with a higher proportion of KOOS PASS rates, at a slightly longer follow-up time (20 months vs 14 months, p<0.001). There were no other differences in PROMS.
    A gap-balanced technique with an image-based robotic system (MAKO) results in different implant positioning and bone resection and reduces tibial recuts compared to a femur-first measured resection technique with an imageless robotic system (OMNIbot). Both systems achieve equal coronal and sagittal deformity correction and good patient outcomes at short-term follow-ups irrespective of these differences.
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