Orthopaedic Clinic CTO, University of Florence, Florence, Italy.
Orthopaedics and Traumatology Division, University of Pisa, Pisa, Italy.
J Knee Surg. 2022 Dec;35(14):1549-1555. doi: 10.1055/s-0041-1727115. Epub 2021 Apr 14.
Robotic-assisted medial unicompartmental knee arthroplasty (mUKA) has been introduced to improve accuracy in implant positioning and limb alignment, overcoming the reported high failure rates of conventional UKA. Indeed, mUKA is a technically challenging procedure strongly related to surgeons' skills and expertise. The purpose of this study was to evaluate the likelihood of robotic-assisted surgery in reducing the variability of coronal and sagittal component positioning between high- and low-volume surgeons. We evaluated a prospective cohort of 161 robotic mUKA implanted between May 2018 and December 2019 at two high-volume robotic centers. Patients were divided into two groups: patients operated by "high-volume" (group A) or "low-volume" (group B) surgeons. We recorded intraoperative lower-limb alignment, component positioning, and surgical timing. Postoperatively, every patient underwent a radiographical protocol to assess coronal and sagittal femoral/tibial component alignment. Range of motion and other clinical outcomes were assessed pre- and 12 months postoperatively by using oxford knee score, forgotten joint score, and visual analog scale. Of 161 recruited knees, 149 (A: 101; B: 48) were available for radiographic analysis at 1 month, and clinical evaluation at 12 months. No clinical difference neither difference in mechanical alignment nor coronal/sagittal component positioning were found ( > 0.05). A significant difference was recorded in surgical timing (A: 57 minutes; B: 86 minutes; < 0.05). No superficial or deep infections or other major complications have been developed during the follow-up. Robotics surgery in mUKA confirmed its value in improving the reproducibility of such technical procedure, with satisfactory clinical outcomes. Moreover, it almost eliminates any possible differences in component positioning, and lower limb alignment among low-and high- volume knee surgeons.
机器人辅助内侧单间膝关节置换术(mUKA)已被引入,以提高植入物定位和肢体对线的准确性,克服了传统 UKA 报道的高失败率。事实上,mUKA 是一项具有挑战性的技术操作,与外科医生的技能和专业知识密切相关。本研究旨在评估机器人辅助手术是否能降低高、低手术量外科医生在冠状和矢状面假体定位方面的差异。我们评估了 2018 年 5 月至 2019 年 12 月在两个高容量机器人中心进行的 161 例机器人辅助 mUKA 前瞻性队列。患者分为两组:由“高容量”(A 组)或“低容量”(B 组)外科医生手术的患者。我们记录了术中下肢对线、假体定位和手术时间。术后,每位患者均接受放射学方案评估以评估冠状和矢状股骨/胫骨假体对线。使用牛津膝关节评分、遗忘关节评分和视觉模拟量表在术前和术后 12 个月评估膝关节活动度和其他临床结果。在招募的 161 个膝关节中,有 149 个(A 组:101 个;B 组:48 个)在术后 1 个月时可进行影像学分析,在术后 12 个月时可进行临床评估。在机械对线和冠状/矢状假体定位方面,未发现临床差异(>0.05)。手术时间记录有显著差异(A 组:57 分钟;B 组:86 分钟;<0.05)。在随访期间,未发生浅表或深部感染或其他重大并发症。在 mUKA 中,机器人手术证实了其在提高此类技术操作的可重复性方面的价值,具有令人满意的临床结果。此外,它几乎消除了低、高容量膝关节外科医生在假体定位和下肢对线方面的任何可能差异。