Total knee arthroplasty component templating: a predictive model.
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.
Department of Orthopedics, Thomas Jefferson University Hospital, Curtis Bldg 801, 1015 Walnut St, Philadelphia, Pennsylvania, USA.
Adam G
AG
Miller
James J
JJ
Purtill
D000328:Adult; D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D019645:Arthroplasty, Replacement, Knee / Q000295:instrumentation / Q000379:methods*; D001827:Body Height; D015992:Body Mass Index; D001835:Body Weight; D003657:Decision Making; D005260:Female; D005269:Femur / Q000033:anatomy & histology / Q000601:surgery; D006801:Humans; D007720:Knee Prosthesis; D016014:Linear Models; D008297:Male; D008875:Middle Aged; D011237:Predictive Value of Tests; D011474:Prosthesis Design; D012189:Retrospective Studies; D025321:Surgery, Computer-Assisted / Q000379:methods*; D013977:Tibia / Q000033:anatomy & histology / Q000601:surgery