Total knee arthroplasty component templating: a predictive model.
Publication/Presentation Date
10-1-2012
Abstract
Preoperative planning is essential to total knee arthroplasty (TKA); however, TKA templating is historically inaccurate. To improve on templating accuracy and streamline preoperative planning, we set out to predict component sizes based on patient characteristics without radiographs. A total of 123 consecutive patients undergoing unilateral TKA were identified and included in the model study. Input variables consisted of age, gender (as a binary number), height, weight, and body mass index. A linear regression model was created. The models predicted component size exactly in 74% of femurs and 85% of tibias. All model predictions were within a ±1 size of the actual components implanted. Our models were more accurate than any previous model for TKA reported.
Volume
27
Issue
9
First Page
1707
Last Page
1709
ISSN
1532-8406
Published In/Presented At
Miller, A. G., & Purtill, J. J. (2012). Total knee arthroplasty component templating: a predictive model. The Journal of arthroplasty, 27(9), 1707–1709. https://doi.org/10.1016/j.arth.2012.03.055
Disciplines
Business Administration, Management, and Operations | Health and Medical Administration | Management Sciences and Quantitative Methods
PubMedID
22633103
Department(s)
Administration and Leadership
Document Type
Article