Miao Haichuan, Zhu Zhiyong, Wang Huisheng, Bai Xizhuang, Li Xi
Dalian Medical University, Dalian, 116044, People's Republic of China.
Department of Sports Medicine and Joint Surgery, The People's Hospital of Liaoning Province, The People's Hospital of China Medical University, Shenyang, 110000, People's Republic of China.
Ther Clin Risk Manag. 2024 Aug 8;20:473-482. doi: 10.2147/TCRM.S468598. eCollection 2024.
Robotic-assisted total knee arthroplasty (RATKA) has been reported to enhance operative decision-making. The purpose of this study was intended to assess the predictive accuracy of bone cuts, lower limb alignment, and component size of a novel system for RATKA preoperatively and intraoperatively.
Preoperatively planned bone cuts, limb alignment, and component size were projected using a reconstructed 3D model. Intraoperative bone cuts and postoperative limb alignment were measured. Errors between planned and real bone cuts, limb alignment, and component size were compared.
The mean absolute errors for bone cuts and alignment were within 1.40mm/1.30° with a standard deviation (SD) of 0.96mm/1.12°. For all errors of bone cuts and alignment compared with the plan, there were no statistically significant differences except for the lateral distal of femoral cuts (=0.004). The accuracy for predicting the femoral, tibial, and polyethylene component sizes was 100% (48/48), 90% (43/48), and 88% (42/48), respectively. Regarding all mean absolute errors of bone cuts and alignments, no significant differences were observed among surgeons.
The novel robotically-assisted system for RATKA donated reliable operative decision-making based on the predictive accuracy regardless of the surgeon's level of experience.
据报道，机器人辅助全膝关节置换术（RATKA）可改善手术决策。本研究旨在评估一种新型RATKA系统术前和术中截骨、下肢力线及假体尺寸预测的准确性。
使用重建的三维模型预测术前计划的截骨、肢体力线和假体尺寸。测量术中截骨和术后肢体力线。比较计划与实际截骨、肢体力线和假体尺寸之间的误差。
截骨和力线的平均绝对误差在1.40mm/1.30°以内，标准差（SD）为0.96mm/1.12°。与计划相比，所有截骨和力线误差中，除股骨远端外侧截骨外（P = 0.004），均无统计学显著差异。股骨、胫骨和聚乙烯假体尺寸预测的准确率分别为100%（48/48）、90%（43/48）和88%（42/48）。关于截骨和力线的所有平均绝对误差，外科医生之间未观察到显著差异。
新型机器人辅助RATKA系统基于预测准确性提供了可靠的手术决策，而与外科医生的经验水平无关。
