| Autor: |
Dennis K. H. Yee, Jonathan T. C. Leung, Vikki Chu, Gene Man, Gloria Y. T. 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 |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
Arthroplasty, Vol 6, Iss 1, Pp 1-6 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2524-7948 |
| DOI: |
10.1186/s42836-024-00266-y |
| Popis: |
Abstract 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”. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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