Capece Giacomo, Andriollo Luca, Sangaletti Rudy, Righini Roberta, Benazzo Francesco, Rossi Stefano Marco Paolo
Sezione di Chirurgia Protesica ad Indirizzo Robotico-Unità di Traumatologia dello Sport, Ortopedia e Traumatologia, Fondazione Poliambulanza, 25124 Brescia, Italy.
Ortopedia e Traumatologia, Università Cattolica del Sacro Cuore, 00168 Rome, Italy.
Life (Basel). 2024 Nov 21;14(12):1528. doi: 10.3390/life14121528.
Knee arthroplasty, commonly performed to treat osteoarthritis, necessitates precise surgical techniques for optimal outcomes. The introduction of systems such as the Persona Knee System (Zimmer Biomet, Warsaw, IN, USA) has revolutionized knee arthroplasty, promising enhanced precision and better patient outcomes. This study investigates the application of robotic planning specifically in knee prosthetic surgeries, with a focus on Persona Knee System prostheses. We conducted a retrospective analysis of 300 patients who underwent knee arthroplasty using the Persona Knee System between January 2020 and November 2023, including demographic data, surgical parameters, and preoperative imaging. Robotic planning was employed to simulate surgical procedures. The planning process integrated preoperative imaging data from a specific program adopted for conducting digital preoperative planning, and statistical analyses were conducted to assess correlations between patient characteristics and surgical outcomes. Out of 300 patients, 85% presented with minor deformities, validating the feasibility of robotic planning. Robotic planning demonstrated precise prediction of optimal arthroplasty sizes and alignment, closely aligning with preoperative imaging data. This study highlights the potential benefits of robotic planning in knee arthroplasty surgeries, particularly in cases with minor deformities. By leveraging preoperative imaging data and integrating advanced robotic technologies, surgeons can improve precision and efficacy in knee arthroplasty. Moreover, robotic technology allows for a reduced level of constraint in the intraoperative choice between Posterior-Stabilized and Constrained Posterior-Stabilized liners compared with an imageless navigated procedure.
膝关节置换术通常用于治疗骨关节炎,为获得最佳效果需要精确的手术技术。诸如Persona膝关节系统(美国印第安纳州华沙市的捷迈邦美公司)等系统的引入彻底改变了膝关节置换术,有望提高精确性并改善患者预后。本研究调查机器人规划在膝关节假体手术中的应用,尤其关注Persona膝关节系统假体。我们对2020年1月至2023年11月期间使用Persona膝关节系统接受膝关节置换术的300例患者进行了回顾性分析,包括人口统计学数据、手术参数和术前影像学检查。采用机器人规划来模拟手术过程。规划过程整合了用于进行数字化术前规划的特定程序的术前影像学数据,并进行了统计分析以评估患者特征与手术结果之间的相关性。在300例患者中,85%存在轻度畸形,验证了机器人规划的可行性。机器人规划显示出对最佳关节置换尺寸和对线的精确预测,与术前影像学数据密切相符。本研究强调了机器人规划在膝关节置换手术中的潜在益处,特别是在轻度畸形的病例中。通过利用术前影像学数据并整合先进的机器人技术,外科医生可以提高膝关节置换术的精确性和疗效。此外,与无图像导航手术相比,机器人技术在术中选择后稳定型和限制后稳定型衬垫之间时允许的限制程度更低。