SJOG Healthcare, Perth, WA, Australia.
Aneurin Bevan University Health Board, Caerleon, Wales.
J Robot Surg. 2023 Dec;17(6):2849-2854. doi: 10.1007/s11701-023-01705-9. Epub 2023 Sep 30.
Total knee arthroplasty (TKA) has traditionally relied on the surgeon's judgement and manual instruments to determine balance. The MAKO robotic system (Stryker Ltd, Kalamazoo, MI, USA) allows assessment of virtual compartmental gaps from CT-derived bone models intra-operatively as a predictor of soft tissue balance that will be achieved, prior to any bony resection. This study aims to assess the accuracy of this pre-resection balancing technique in determining the resultant final soft tissue balance of the TKA. A consecutive prospective cohort of 2027 Robotic-Assisted TKAs (RATKA) were performed between January'17 and March'22. Osteophytes were removed; initial virtual gaps on the virtual bone model were measured at 10° and 90° of flexion prior to bone resections. Optimization of the virtual component positions was then made and final pre-resection gaps were measured. The gaps were then re-assessed post-implantation and compared to the final pre-resection values. Virtual balancing in extension within 1 mm was achieved in 95% of cases. Of those, 98% maintained coronal balance within 1 mm after implantation, with 1.5% requiring a coronal plane soft tissue release. Inability to virtually balance a TKA within 2 mm prior to bone resection resulted in a soft tissue release in 44.4% of cases. The absolute values of the final gaps achieved were a mean of 1.3 mm greater than virtual gaps. The ability to balance a knee on the virtual bone model prior to bone resection, in conjunction with robotic-assisted execution of TKA, consistently achieves a balanced knee after component implantation.
全膝关节置换术(TKA)传统上依赖于外科医生的判断和手动器械来确定平衡。MAKO 机器人系统(Stryker Ltd,密歇根州卡拉马祖)允许在手术中从 CT 衍生的骨模型评估虚拟间隔间隙,作为预测将要实现的软组织平衡的指标,然后再进行任何骨切除。本研究旨在评估这种截骨前平衡技术在确定 TKA 最终软组织平衡中的准确性。17 年 1 月至 22 年 3 月期间,对 2027 例机器人辅助 TKA(RATKA)进行了连续前瞻性队列研究。切除骨赘;在进行骨切除之前,在 10°和 90°屈曲时,在虚拟骨模型上测量初始虚拟间隙。然后优化虚拟组件的位置并测量最终截骨前间隙。然后在植入后重新评估间隙,并与最终截骨前值进行比较。在 95%的情况下,在伸展状态下实现了虚拟平衡 1mm 以内。其中,98%在植入后保持 1mm 以内的冠状平衡,1.5%需要冠状面软组织松解。在骨切除前无法在虚拟范围内平衡 TKA 会导致 44.4%的病例需要软组织松解。最终实现的间隙的绝对值比虚拟间隙平均大 1.3mm。在骨切除前在虚拟骨模型上平衡膝关节的能力,结合机器人辅助 TKA 的执行,在组件植入后始终能实现平衡的膝关节。