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Updated: Feb 13, 2026

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Published on: July 5, 2011
The Radiographic Prepatellar Fat Thickness Ratio Correlates With Infection Risk After Total Knee Arthroplasty
Russell A Wagner1, Sean P Hogan2, John Ross Burge2
1Department of Orthopaedic Surgery, Texas College of Osteopathic Medicine, University of North Texas Health Science Center, Fort Worth, TX; Department of Orthopaedic Surgery, University of North Texas Health Science Center, Fort Worth, TX; Department of Orthopaedic Surgery, John Peter Smith Hospital, Fort Worth, TX.
The prepatellar fat thickness ratio (PFTR) better predicts surgical site infections (SSI) after total knee arthroplasty (TKA) than body mass index (BMI). This radiographic measurement may improve preoperative risk assessment for TKA patients.
Area of Science:
- Orthopedic Surgery
- Radiology
- Infectious Disease
Background:
- Obesity is linked to complications following total knee arthroplasty (TKA).
- Surgical site infection (SSI) is a significant complication of TKA, increasing revision rates and healthcare costs.
- Existing research on body mass index (BMI) and TKA infection risk is conflicting; site-specific fat distribution may be a more accurate predictor.
Purpose of the Study:
- To investigate the correlation between soft tissue distribution around the knee and SSI after TKA.
- To introduce and evaluate the prepatellar fat thickness ratio (PFTR) as a quantitative radiographic measure for assessing infection risk.
Main Methods:
- Retrospective review of 572 patients undergoing primary TKA between 2006 and 2010.
- Introduction of the prepatellar fat thickness ratio (PFTR) as a novel radiographic metric.
- Evaluation of PFTR's ability to predict SSI risk compared to BMI.
Main Results:
- The PFTR demonstrated a statistically significant association with SSI risk.
- PFTR was a superior predictor of SSI compared to BMI in both univariate (P = .05) and multivariate (P = .01) analyses.
Conclusions:
- The PFTR may offer a more accurate assessment of SSI risk after TKA than BMI by accounting for variations in adipose tissue distribution.
- This radiographic measurement could serve as a valuable tool for preoperative risk stratification in TKA candidates.
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