Accuracy of the Imageless Mode of the ROSA Robotic System for Targeted Resection Thickness in Total Knee Arthroplasty: A Prospective, Single Surgeon Case-Series Study

IF 2.3 3区医学 Q2 SURGERY International Journal of Medical Robotics and Computer Assisted Surgery Pub Date : 2024-12-23 DOI:10.1002/rcs.70029

Zakareya Gamie, Eustathios Kenanidis, Georgios Douvlis, Nikolaos Milonakis, Alexander Maslaris, Eleftherios Tsiridis

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Abstract

Background

We investigated the accuracy of targeted resection thickness in patients undergoing primary Total Knee Arthroplasty (TKA) using the ROSA robotic system.

Methods

Calliper measurements of the distal femur (DF), proximal tibia (PT), and posterior condyles (PC) were taken in 44 patients from June 2023 to January 2024.

Results

Planned and actual resection depth difference was 0.67 mm ± 0.6 mm (mean ± SD) (p = 0.217) and 0.94 mm ± 1.15 mm (p = 0.4) for medial and lateral DF, 0.93 mm ± 0.81 mm (p = 0.001) and 0.89 mm ± 0.8 mm (p = 0.008) for medial and lateral PT, and 1.1 mm ± 0.97 mm (p = 0.001) and 1.04 mm ± 0.79 mm (p = 0.001) for medial and lateral PC, respectively.

Conclusion

The ROSA robotic system can achieve a high degree of accuracy for planned resection thickness. Results are valid only for the imageless ROSA TKA in patients with primary knee osteoarthritis.

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全膝关节置换术中ROSA机器人系统无图像模式对目标切除厚度的准确性：一项前瞻性、单个外科医生病例系列研究。

背景：我们研究了使用ROSA机器人系统进行原发性全膝关节置换术（TKA）患者靶向切除厚度的准确性。方法：2023年6月至2024年1月，对44例患者股骨远端（DF）、胫骨近端（PT）和后髁（PC）进行卡钳测量。结果：计划和实际切除深度差分别为内侧和外侧DF的0.67 mm±0.6 mm (mean±SD) （p = 0.217）和0.94 mm±1.15 mm (p = 0.4)，内侧和外侧PT的0.93 mm±0.81 mm （p = 0.001）和0.89 mm±0.8 mm (p = 0.008)，内侧和外侧PC的1.1 mm±0.97 mm （p = 0.001）和1.04 mm±0.79 mm （p = 0.001）。结论：ROSA机器人系统可以实现高精确度的计划切除厚度。结果仅对原发性膝骨关节炎患者的无图像ROSA TKA有效。

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来源期刊

International Journal of Medical Robotics and Computer Assisted Surgery 医学-外科

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.