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Intraoperative patellar tracking assessment during image-based robotic-assisted total knee arthroplasty: technical
Cécile Batailler1, Salomé Greiner2, Hanna-Lisa Rekik2
1Orthopaedics Surgery and Sports Medicine Department, FIFA Medical Center of Excellence, Croix-Rousse Hospital, Lyon University Hospital, 69004 Lyon, France - Univ Lyon, Claude Bernard Lyon 1 University, IFSTTAR, LBMC UMR_T9406, 69622 Lyon, France.
This study introduces a reliable method for assessing patellar tracking during robotic-assisted total knee arthroplasty (TKA). The new technique accurately measures patellar positioning, improving surgical outcomes and patient recovery.
Area of Science:
- Orthopedic Surgery
- Biomechanical Engineering
- Medical Imaging
Background:
- Personalized surgery is advancing total knee arthroplasty (TKA).
- Objective evaluation of patellar tracking during TKA remains a challenge.
- Current methods rely on subjective surgeon assessment.
Purpose of the Study:
- To describe a novel assessment for patellar tracking in robotic-assisted TKA.
- To introduce a new measurement technique for evaluating patellar tracking evolution.
- To determine the reliability and repeatability of this new measurement technique.
Main Methods:
- A monocentric study involving 20 robotic-assisted TKA procedures.
- Patellar tracking assessed using a sharp probe across knee flexion arcs (0-90°).
- Measurements taken in coronal and sagittal planes using MAKO software before and after bone cuts.
Main Results:
- Radiographic measurements demonstrated very good to excellent intra-observer and inter-observer agreement (0.60-1.0).
- The technique reliably quantified changes in patellar tracking post-bone cuts.
- Patient demographics (age, BMI, HKA angle) were recorded.
Conclusions:
- A new measurement technique for assessing patellar tracking after TKA was developed.
- This technique demonstrated good inter-observer and intra-observer reliability.
- The method offers an objective tool for evaluating patellar tracking in TKA.
