Londhe Sanjay B, Patel Kunal, Baranwal Govindkumar
Department of Orthopaedics, Criticare Asia Hospital, Mumbai, IND.
Cureus. 2025 Feb 11;17(2):e78880. doi: 10.7759/cureus.78880. eCollection 2025 Feb.
Background Robotic arm-assisted total knee arthroplasty (RATKA) offers several advantages, including precise restoration of mechanical or kinematic alignment, accurate bone resections, reliable implant size prediction, alignment optimization, and dynamic gap balancing. However, a key concern among arthroplasty surgeons is the perceived increase in operative time associated with adopting this technology. This study describes the step-by-step surgical workflow of imageless RATKA and evaluates the surgical times and learning curve associated with this technique. Methods This study is a retrospective analysis of the data of the first 60 cases of imageless RATKA done between February 2023 and November 2024 at a single surgical center by the same surgical team. Patients undergoing imageless RATKA for Kellgren and Lawrence grade 4 osteoarthritis were included, while those with prior knee surgery or high tibial osteotomy were excluded. All procedures utilized the DePuy Attune implant with a tibia-first surgical workflow, performed via a midline vertical incision and medial parapatellar arthrotomy. Surgical times were recorded and analyzed by an independent observer not involved in the surgeries. The 60 cases were divided into four groups of 15 cases (group 1 consisted of the first 15 cases, i.e., case number 1 to case number 15; group 2 consisted of the next consecutive 15 cases, i.e., case number 16 to case number 30; group 3 consisted of case number 31 to case number 45; and group 4 consisted of the last 15 cases, i.e., case number 46 to case number 60) each to evaluate the learning curve and calculate mean surgical times. Results The surgical times (in minutes) of the various groups were as follows: group 1 (0-15 cases) = 96.27 ± 4.46; group 2 (16-30 cases) = 91.07 ± 3.75; group 3 (31-45 cases) = 88.67 ± 3.58; group 4 (46-60 cases) = 86.13 ± 3.66. Comparison of means shows p values of 0.005, 0.03, and 0.09 between group 1 and 2, group 2 and 3, and group 3 and 4, respectively, indicating normalization of the operative time and a learning curve of 15 cases. Conclusion By following a standardized and reproducible tibia-first workflow, the operative time for imageless RATKA normalizes roughly after 15cases, i.e., group 2 onwards. This suggests that surgical time should not be a barrier for surgeons considering the adoption of this technology. The findings support the feasibility and efficiency of integrating robotic-assisted systems into routine arthroplasty practice.
背景 机器人手臂辅助全膝关节置换术(RATKA)具有诸多优势,包括精确恢复机械或运动学对线、准确的骨切除、可靠的植入物尺寸预测、对线优化以及动态间隙平衡。然而,关节置换外科医生的一个关键担忧是采用该技术后手术时间会增加。本研究描述了无图像RATKA的分步手术流程,并评估了与该技术相关的手术时间和学习曲线。方法 本研究是对同一手术团队于2023年2月至2024年11月在单一手术中心完成的前60例无图像RATKA病例的数据进行的回顾性分析。纳入因凯尔格伦和劳伦斯4级骨关节炎接受无图像RATKA的患者,排除既往有膝关节手术或高位胫骨截骨术的患者。所有手术均使用DePuy Attune植入物,采用胫骨优先的手术流程,通过中线垂直切口和内侧髌旁关节切开术进行。手术时间由未参与手术的独立观察者记录和分析。60例病例分为四组,每组15例(第1组由前15例组成,即病例编号1至病例编号15;第2组由接下来连续的15例组成,即病例编号16至病例编号30;第3组由病例编号31至病例编号45组成;第4组由最后15例组成,即病例编号46至病例编号60),以评估学习曲线并计算平均手术时间。结果 各组的手术时间(分钟)如下:第1组(0 - 15例)= 96.27 ± 4.46;第2组(16 - 30例)= 91.07 ± 3.75;第3组(31 - 45例)= 88.67 ± 3.58;第4组(46 - 60例)= 86.13 ± 3.66。均值比较显示,第1组与第2组、第2组与第3组、第3组与第4组之间的p值分别为0.005、0.03和0.09,表明手术时间趋于正常,学习曲线为15例。结论 通过遵循标准化且可重复的胫骨优先手术流程,无图像RATKA的手术时间在大约15例后(即从第2组开始)趋于正常。这表明手术时间不应成为考虑采用该技术的外科医生的障碍。这些发现支持了将机器人辅助系统整合到常规关节置换手术中的可行性和效率。