Ejnisman Leandro, Antonioli Eliane, Cintra Luciana, de Oliveira Souza Pamela Gabriela, Costa Lauro Augusto Veloso, Lenza Mario
Hospital Israelita Albert Einstein (HIAE), Av. Albert Einstein 627, Morumbi, 05652-000 São Paulo, SP, Brazil.
Comput Struct Biotechnol J. 2024 Apr 12;24:343-349. doi: 10.1016/j.csbj.2024.04.013. eCollection 2024 Dec.
Robot-assisted total knee arthroplasty (rTKA) involves a learning curve for orthopedic surgeons. The aim of the present study was to assess the surgical times of rTKA procedures performed by initial stage and proficiency stage surgeons in comparison with times of conventional total knee arthroplasty (cTKA). The results reveal that the learning curve for rTKA varies considerable between surgeons, suggesting that the skill and aptitude of the individual to adapt to the robotic system play key roles in the learning process. Proficiency stage surgeons were able to reduce rTKA surgical times to levels comparable with those of conventional surgeries after performing approximately 30 to 40 robotic procedures. Ongoing research has shown promising outcomes in terms of improved clinical results and reduced complications following the application of advanced robotic technology to total knee arthroplasty.
机器人辅助全膝关节置换术(rTKA)对于骨科医生来说存在一个学习曲线。本研究的目的是评估处于初始阶段和熟练阶段的外科医生进行rTKA手术的时间,并与传统全膝关节置换术(cTKA)的时间进行比较。结果显示,rTKA的学习曲线在不同外科医生之间差异很大,这表明个体适应机器人系统的技能和能力在学习过程中起着关键作用。熟练阶段的外科医生在进行大约30至40例机器人手术之后,能够将rTKA手术时间缩短至与传统手术相当的水平。正在进行的研究表明,将先进的机器人技术应用于全膝关节置换术后,在改善临床效果和减少并发症方面取得了令人鼓舞的成果。