Gaudiani Michael A, Nwachukwu Benedict U, Baviskar Jayesh V, Sharma Mrinal, Ranawat Anil S
Department of Orthopedic Surgery, Hospital for Special Surgery, New York, NY, USA.
Department of Orthopedic Surgery, Hospital for Special Surgery, New York, NY, USA.
Knee. 2017 Aug;24(4):837-843. doi: 10.1016/j.knee.2017.05.002. Epub 2017 Jun 1.
One of the anatomic goals of total knee arthroplasty (TKA) is optimizing in the coronal and sagittal plane. Accurate alignments of both planes have been correlated to functional outcome and range of motion. There is a paucity of evidence on the accuracy of unicompartmental knee arthroplasty (UKA) in balancing biplanar knee alignment - specifically sagittal plane alignment. Because robotic assisted UKA has an advantage of more accurately manipulating sagittal plane for optimal alignment and kinematics based on pre-operative and intraoperative CT planning we assessed the accuracy.
We reviewed the clinical and radiographic information of 94 robotic assisted UKA surgeries for balancing of sagittal and coronal knee anatomy using radiographic parameters, such as posterior condylar offset ratio (PCOR), posterior tibial slope (PTS), femoral-tibial angle, and joint line.
In the sagittal plane, we found no significant difference between pre and postoperative PCOR values. As planned, PTS was significantly lower after UKA compared to the native knee (4.91° vs 2.28°; p<0.0001). In the coronal plane, there was no significant difference in the joint line however pre and post-operative mechanical axis were significantly different (5.43°±2.58 of varus vs. 2.76°±2.14 of varus; p<0.0001).
This study attempts to quantify sagittal and coronal plane alignment after robotic assisted UKA. More attention should be paid to the role of sagittal plane alignment after UKA. We believe modifying posterior tibial slope, while maintaining PCOR is fundamental in achieving native kinematics and optimizing range of motion in the sagittal plane. This may be best-accomplished using robotic techniques for UKA.
全膝关节置换术(TKA)的解剖学目标之一是在冠状面和矢状面实现优化。这两个平面的精确对线与功能结果和活动范围相关。关于单髁膝关节置换术(UKA)在双平面膝关节对线平衡(特别是矢状面对线)方面的准确性,证据不足。由于机器人辅助UKA具有基于术前和术中CT规划更精确地操控矢状面以实现最佳对线和运动学的优势,我们对其准确性进行了评估。
我们回顾了94例机器人辅助UKA手术的临床和影像学信息,使用诸如后髁偏移率(PCOR)、胫骨后倾坡度(PTS)、股胫角和关节线等影像学参数来平衡膝关节的矢状面和冠状面解剖结构。
在矢状面,我们发现术前和术后PCOR值之间无显著差异。按计划,UKA术后的PTS明显低于患侧膝关节(4.91°对2.28°;p<0.0001)。在冠状面,关节线无显著差异,但术前和术后的机械轴有显著差异(内翻5.43°±2.58对内翻2.76°±2.14;p<0.0001)。
本研究试图量化机器人辅助UKA术后的矢状面和冠状面对线。UKA术后应更多关注矢状面对线的作用。我们认为,在保持PCOR的同时调整胫骨后倾坡度是实现自然运动学和优化矢状面活动范围的基础。这可能最好通过机器人技术用于UKA来实现。