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Proven accuracy for a new dynamic gap measurement in navigated TKA
Volkmar Mehliß1, Marco Strauch Leira2, Agustín Serrano Olaizola2
1Department for Arthroplasty and General Orthopaedic Surgery, Orthopaedic Hospital Lindenlenlohe, Lindenlohe 18, 92421, Schwandorf, Germany.
A new dynamic navigation software accurately assesses gaps throughout knee range of motion during total knee arthroplasty (TKA). This computer-assisted surgery (CAS) technique improves surgical balancing and reproducible outcomes for surgeons.
Area of Science:
- Orthopedic Surgery
- Biomedical Engineering
- Surgical Navigation
Background:
- Total knee arthroplasty (TKA) clinical outcomes remain unsatisfactory in 20% of patients.
- Conventional gap balancing in TKA is static, assessing only extension and 90° flexion.
- Existing navigation systems improve alignment accuracy but show limited clinical outcome improvement.
Purpose of the Study:
- To evaluate the accuracy and reliability of a novel dynamic navigation software for intraoperative gap assessment.
- To determine the software's effectiveness in facilitating gap-balanced TKA throughout the entire range of motion (ROM).
Main Methods:
- Sixty-five TKA procedures were performed using a tibia-first, gap-balanced technique with new computer-assisted surgery (CAS) software.
- Inter-observer and intra-observer reliability were assessed through repeated gap measurements by different surgeons.
- Dynamic stress testing was employed to measure gaps throughout the entire ROM.
Main Results:
- The CAS system achieved correct coronal alignment in 96.4% of cases (within 3° of mechanical alignment).
- Both inter-observer and intra-observer reliability for gap values across the entire ROM were excellent.
- Specific bias and limits of agreement were reported for inter-observer (-2.1 to +2.21 mm) and intra-observer (-2.27 to +2.44 mm) measurements.
Conclusions:
- The new CAS software and dynamic gap measurement provide accurate and reproducible gap assessments.
- This technique facilitates effective knee balancing during TKA.
- The system demonstrates robustness and reproducibility across multiple surgeons and repeated measurements.
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