Sydney Orthopaedic Research Institute, Level 2, 500 Pacific Highway, St Leonards, St. Leonards, Sydney, 2065, Australia.
University of New South Wales, Sydney, Australia.
Int Orthop. 2023 May;47(5):1221-1232. doi: 10.1007/s00264-022-05681-x. Epub 2023 Feb 6.
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.
本研究旨在比较基于图像(MAKO)系统采用间隙平衡技术与无图像(OMNIbot)机器人工具采用股骨先测量切除技术的效果。
对一名外科医生使用 MAKO 或 OMNIbot 机器人系统进行功能对线理念的初次全膝关节置换(TKA)的患者进行回顾性队列研究。在所有情况下,外科医生的目标是创建平衡的膝关节并纠正矢状面畸形(消除任何固定屈曲畸形)。比较术中数据和患者报告的结果(PROMS)。
共分析了 207 例 MAKO TKA 和 298 例 OMNIbot TKA。MAKO TKA 患者比 OMNIbot TKA 患者更年轻(67 岁 vs 69 岁,p=0.002)。没有其他人口统计学或术前对线差异。关于植入物定位,在 MAKO TKA 中,股骨组件相对于后髁轴更向外旋转(2.3° vs 0.1°,p<0.001),股骨截骨更少(1.6° vs 2.7°外翻,p<0.001),胫骨截骨更多(2.4° vs 1.9°内翻,p<0.001),与 OMNIbot TKA 相比,切除更多的骨。OMNIbot 病例比 MAKO 更有可能需要胫骨再切(15% vs 2%,p<0.001)。在股骨再切率、软组织松解率或实现目标冠状面和矢状面下肢对线方面,两种机器人系统之间没有差异。100 例 MAKO 和 100 例 OMNIbot 倾向匹配 TKA 的亚组分析,随访 12 个月,OKS(42 分 vs 43 分,p=0.7)或 OKS PASS 评分(83% vs 91%,p=0.1)无显著差异。根据 KOOS 症状评分,MAKO TKA 患者的症状明显好于 OMNIbot TKA 患者(87 分 vs 82 分,p=0.02),KOOS PASS 率更高,随访时间稍长(20 个月 vs 14 个月,p<0.001)。PROMS 无其他差异。
与无图像机器人系统(OMNIbot)采用股骨先测量切除技术相比,基于图像的机器人系统(MAKO)采用间隙平衡技术可导致不同的植入物定位和骨切除,并减少胫骨再切。两种系统在短期随访时均能达到同等的冠状面和矢状面畸形矫正和良好的患者结局,无论存在这些差异。