Reliability of pre-resection ligament tension assessment in imageless robotic assisted total knee replacement
Dennis King Hang Yee, Jonathan T. C. Leung, Vikki Wing‐Shan Chu, Gene Chi Wai Man, Gloria Yan-Ting Lam, Jimmy K. Y. Lau, Tsz-Lung Choi, Wai‐Wang Chau, Jonathan Patrick Ng, Michael Tim‐Yun Ong, Kevin Ki‐Wai Ho, Patrick Shu‐Hang Yung
- 发表年份
- 2024
- 引用次数
- 7
- 访问权限
- 开放获取
摘要
BACKGROUND: Ligament tension balance is a major determinant for the success of total knee replacement (TKR). The present study aimed at determining the inter-rater and intra-rater reliability in performing ligament tension assessment using an imageless robotic-assisted TKR. METHODS: Twenty-four knees in 21 patients who received robotic-assisted TKR for end-stage varus osteoarthritis were examined. Three orthopedic specialists and six orthopedic trainees participated in the operations. Data from the ligament tension assessment were collected during the operations. RESULTS: For the inter-rater reliability, "extension medial" and "flexion medial" had excellent reliability whilst "extension lateral" and "flexion lateral" had good-to-excellent reliability. For the intra-rater reliability, "extension medial" showed excellent reliability, "extension lateral" and "flexion medial" showed good-to-excellent reliability, and "flexion lateral" showed moderate-to-excellent reliability. CONCLUSIONS: Robotic-assisted technology provides a reliable solution to improve ligament tension assessment. All ligament tension assessments with the use of the technology could demonstrate at least good-to-excellent reliability except for the intra-rater reliability of "flexion lateral".
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
Genetic Programming: On the Programming of Computers by Means of Natural Selection
John R. Koza
1992