机器人辅助全膝关节置换术系统能更精确地控制股骨旋转角度:一项回顾性研究。

Peng Yan, Xudong Duan, Yutian Lei, Fangze Xing, Ruomu Cao, Sen Luo, Yang Chen, Zeyu Liu, Kunzheng Wang, Pei Yang, Run Tian
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引用次数: 0

摘要

背景:全膝关节置换术(TKA)中的旋转对位是一个需要关注的关键技术点。我们进行了一项回顾性研究,探讨新型机器人辅助 TKA(RA-TKA)能否提高旋转对位的准确性,以及旋转对位是否会影响术后疼痛和膝关节功能评估:本研究共纳入了 136 名连续接受 TKA 的患者。一半患者接受了 RA-TKA,另一半患者接受了传统 TKA(CON-TKA),由同一组外科医生进行。收集相关参数:结果:机器人辅助组术后股骨旋转角度(FRA)为-0.72 ± 2.59°,传统组为1.13 ± 2.73°,两组差异有统计学意义(P 结论:该研究初步证明了RA-TKA术后股骨旋转角度(FRA)与传统TKA术后股骨旋转角度(FRA)之间的差异:本研究初步证明 RA-TKA 比 CON-TKA 能更精确地控制 FRA,并验证了胫骨旋转角度和联合旋转角度对术后膝关节疼痛和功能评估的影响。
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Robot-assisted total knee arthroplasty system provides more precise control of the femoral rotation angle: A retrospective study

Background

Rotational alignment in total knee arthroplasty (TKA) is a crucial technical point that needs attention. We conducted a retrospective study to investigate whether a new robot-assisted TKA (RA-TKA) could improve the accuracy of rotational alignment and whether rotational alignment affects postoperative pain and functional evaluation of the knee.

Methods

A total of 136 consecutive patients who underwent TKA were included in this study. Half of the patients underwent RA-TKA and the other half underwent conventional TKA (CON-TKA) by the same group of surgeons. Collect the relevant parameters.

Results

The postoperative femoral rotation angle (FRA) was −0.72 ± 2.59° in the robot-assisted group and 1.13 ± 2.73° in the conventional group, and were statistically significantly different (p < 0.001).

Conclusion

This study provides preliminary evidence that the RA-TKA provides more precise control of FRA than CON-TKA, and verifies that tibial rotation angle and combined rotation angle affect postoperative knee pain and functional evaluation.

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来源期刊
CiteScore
4.50
自引率
12.00%
发文量
131
审稿时长
6-12 weeks
期刊介绍: The International Journal of Medical Robotics and Computer Assisted Surgery provides a cross-disciplinary platform for presenting the latest developments in robotics and computer assisted technologies for medical applications. The journal publishes cutting-edge papers and expert reviews, complemented by commentaries, correspondence and conference highlights that stimulate discussion and exchange of ideas. Areas of interest include robotic surgery aids and systems, operative planning tools, medical imaging and visualisation, simulation and navigation, virtual reality, intuitive command and control systems, haptics and sensor technologies. In addition to research and surgical planning studies, the journal welcomes papers detailing clinical trials and applications of computer-assisted workflows and robotic systems in neurosurgery, urology, paediatric, orthopaedic, craniofacial, cardiovascular, thoraco-abdominal, musculoskeletal and visceral surgery. Articles providing critical analysis of clinical trials, assessment of the benefits and risks of the application of these technologies, commenting on ease of use, or addressing surgical education and training issues are also encouraged. The journal aims to foster a community that encompasses medical practitioners, researchers, and engineers and computer scientists developing robotic systems and computational tools in academic and commercial environments, with the intention of promoting and developing these exciting areas of medical technology.
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