Mukartihal Ravikumar, Bhat VikramG K, Das Rajdeep, Chandan S, Patil Sharan S, Rathnakar V, Gurava Reddy A V, Annapareddy Adarsh
SPARSH Group of Hospitals, Bangalore, India.
Department of Orthopaedics, Sunshine Hospitals, Hyderabad, India.
J Orthop. 2023 Oct 11;45:87-90. doi: 10.1016/j.jor.2023.10.010. eCollection 2023 Nov.
Osteoarthritis of the knee is a common problem in the elderly, leading to severe morbidity. Total Knee Arthroplasty (TKA) is a widely validated surgery to provide a remarkable extent of knee function and simultaneously alleviates pain for knee osteoarthritis (OA). It is clearly understood that precision of the rotational alignment and accuracy of the technique in the placement of the femoral component is a prerequisite for excellent and successful outcomes of TKA. Advanced technology has now allowed surgeons to understand patient-specific variabilities in anatomical reference landmarks and the relationship of component positioning in relation to the reference landmarks to achieve accurate gap balancing with minimal soft tissue release. Robotic Arm Assisted-Total Knee Arthroplasty (RAA-TKA) is a semi-automated system that enables us in replicating the same. Using this technology, the bony resections, component positions, probable component sizing and gap balancing can be tentatively planned preoperatively with CT Scan Analysis and executed intraoperatively. Hence this study was undertaken to estimate the relationship between femoral component placement to normal rotational landmarks such as the Posterior Condylar Axis (PCA) and to quantitatively evaluate coronal and sagittal plane correction obtained. Also, we aimed to use the data to detect any anatomical variations in the study population and evaluate the accuracy of predicted component sizing, including gender-based evaluation.
A Prospective Observational Study of 1073 knees of patients of either sex above 50 years of age with Kellgren Lawrence Grade 4 Osteoarthritis of the knee which were confirmed with X-Ray undergoing RAA-TKA using MAKO Robotic System using Stryker Triathlon (Cruciate Substituting) CS Knee was conducted during the period between 2022 and 2023 in two South Indian hospitals specializing in joint replacement surgeries.
We found a statistically significant difference between the native Posterior Condylar Axis (PCA) (4.82 ± 2.15°) and final femoral component external rotation (3.24 ± 1.29°) with a p-value of <0.001 at 95% confidence interval. The accuracy of component size prediction was 99.8%. Also, analysis in our study has shown the most common implant sizes to be 4 in males and 2 in females. We also found no statistically significant difference based on age, size, laterality, or primary varus deformity.
RAA-TKA provides patient-specific alignment/restricted kinematic alignment which might further enhance the outcome for the patient. Reliable deformity correction in coronal and sagittal planes can be achieved. Accurate flexion and extension gap balancing can be done through component placement and with minimal soft tissue dissection. Irrespective of all the advantages noted in RAA-TKA, further follow-up and long-term outcome studies are required to properly gauge and analyze this new technology.
膝关节骨关节炎是老年人常见的问题,会导致严重的发病率。全膝关节置换术(TKA)是一种经过广泛验证的手术,能显著改善膝关节功能,同时缓解膝关节骨关节炎(OA)的疼痛。显然,股骨部件放置的旋转对准精度和技术准确性是TKA取得优异和成功结果的先决条件。先进技术现已使外科医生能够了解解剖参考标志中患者特有的变异性以及部件定位与参考标志的关系,从而以最小的软组织松解实现精确的间隙平衡。机器人手臂辅助全膝关节置换术(RAA-TKA)是一种半自动系统,使我们能够复制这一过程。使用该技术,可以通过CT扫描分析在术前初步规划骨切除、部件位置、可能的部件尺寸和间隙平衡,并在术中执行。因此,本研究旨在评估股骨部件放置与正常旋转标志(如后髁轴(PCA))之间的关系,并定量评估获得的冠状面和矢状面矫正。此外,我们旨在利用这些数据检测研究人群中的任何解剖变异,并评估预测部件尺寸的准确性,包括基于性别的评估。
在2022年至2023年期间,对印度南部两家专门从事关节置换手术的医院中1073例年龄在50岁以上、经X线确诊为Kellgren Lawrence 4级膝关节骨关节炎的患者的膝关节进行了前瞻性观察研究,这些患者使用Stryker Triathlon(十字交叉替代)CS膝关节的MAKO机器人系统进行RAA-TKA。
我们发现,在95%置信区间内,原始后髁轴(PCA)(4.82±2.15°)与最终股骨部件的外旋(3.24±1.29°)之间存在统计学上的显著差异,p值<0.001。部件尺寸预测的准确率为99.8%。此外,我们的研究分析表明,男性最常见的植入尺寸为4号,女性为2号。我们还发现,基于年龄、尺寸、侧别或原发性内翻畸形没有统计学上的显著差异。
RAA-TKA提供了患者特异性对准/受限运动学对准,这可能会进一步改善患者的治疗效果。可以在冠状面和矢状面实现可靠的畸形矫正。通过部件放置并进行最小限度的软组织解剖,可以实现准确的屈伸间隙平衡。尽管RAA-TKA具有上述所有优点,但仍需要进一步的随访和长期结果研究,以正确评估和分析这项新技术。