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Size-Up, Size-Down: Accuracy of Component Sizing with Computerized Tomography and Robotic-Assisted Total Knee
James P Henry1, Brienne Paradis2, Aleksandra Qilleri3
1Department of Orthopaedic Surgery, Huntington Hospital, Northwell Health, Huntington, New York.
The Journal of Knee Surgery
|December 17, 2024
Summary
Preoperative templating for total knee arthroplasty (TKA) accurately predicts implant sizes. Combining surgeon and specialist input further enhances accuracy, improving efficiency and reducing waste in TKA procedures.
Area of Science:
- Orthopaedic Surgery
- Medical Imaging
- Biomedical Engineering
Background:
- Preoperative templating in total knee arthroplasty (TKA) aims to enhance surgical efficiency, alignment, and patient outcomes.
- Computed tomography (CT)-based templating is a key tool for planning implant selection.
Purpose of the Study:
- To evaluate the accuracy of CT-based preoperative templating in predicting final implant sizes for TKA.
- To compare the accuracy of templating performed by a company representative (MAKO Product Specialist, MPS) versus combined surgeon and MPS input.
Main Methods:
- Retrospective evaluation of 724 Stryker MAKO robotic-assisted TKA cases from a prospectively collected database (January 2020 - October 2023).
- Comparison of final tibial and femoral component sizes with preoperative templates.
- Analysis of templating performed solely by MPS versus combined surgeon and MPS input.
Main Results:
- MPS alone predicted final tibial and femoral implants within one size in 97.2% and 97.8% of cases, respectively.
- Combined surgeon and MPS templating improved accuracy to 98.9% for tibial and 99.5% for femoral components.
- Patient height and weight positively correlated with final implant size (p < 0.001).
Conclusions:
- Non-surgeons can reliably predict implant sizes using CT-based preoperative templating.
- Surgeon involvement further refines templating accuracy, optimizing TKA planning.
- Accurate templating can reduce trial implant usage, decrease costs, and improve operating room efficiency.

