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Published on: May 5, 2023
679
Accelerometer-based navigation vs. conventional techniques for total knee arthroplasty (TKA): a systematic review and
Juntan Li1, Yuqi Zhang2, Xiang Gao3
1Department of Orthopedics, The First Hospital of China Medical University, No.155 Nanjing North Street, Shenyang, Liaoning Province, 110001, People's Republic of China.
Arthroplasty (London, England)
|September 1, 2022
Summary
Accelerometer-based navigation (ABN) improves mechanical alignment and reduces complications in total knee arthroplasty (TKA) compared to conventional techniques. While blood loss is reduced, ABN does not significantly improve knee function or patient-reported outcomes.
Area of Science:
- Orthopedic Surgery
- Biomedical Engineering
- Medical Technology
Background:
- Total knee arthroplasty (TKA) outcomes can be influenced by surgical technique.
- Assessing the efficacy of novel navigation systems in TKA is crucial for improving patient results.
Purpose of the Study:
- To compare accelerometer-based navigation (ABN) with conventional techniques (CONV) for TKA.
- To evaluate the impact of ABN on radiological and functional outcomes in TKA.
Main Methods:
- A systematic literature search was conducted across major databases (PubMed, Embase, Web of Science, Cochrane Library, Clinical Trials).
- A meta-analysis was performed on 10 randomized controlled trials involving 1,125 knees (573 ABN, 552 CONV).
Main Results:
- ABN significantly improved mechanical alignment (MA) accuracy and reduced outliers (P < 0.00001).
- ABN was associated with reduced blood loss (P = 0.03) and lower overall complication rates (P = 0.02).
- No significant difference was found in surgery duration (P = 0.75) or knee function (P = 0.20) between groups.
Conclusions:
- ABN demonstrates superiority over CONV in achieving accurate lower limb mechanical alignment during TKA.
- ABN offers benefits by reducing blood loss and complications without prolonging surgery.
- ABN did not lead to improvements in patient-reported outcome measurements (PROMs).
