Exploring Biokinetics of Metal-Ion Release in Total Knee Arthroplasty: A Modeling Approach
Tuesday, May 14, 2024
2:00 PM-4:00 PM
BIOMED Master's Thesis Defense
Title:
Exploring Biokinetics of Metal-Ion Release in Total Knee Arthroplasty: A Modeling Approach
Speaker:
Hope Seybold, Master's Candidate
School of Biomedical Engineering, Science and Health Systems
Drexel University
Advisor:
Steven Kurtz, PhD
Research Professor
School of Biomedical Engineering, Science and Health Systems
Drexel University
Details:
Total knee arthroplasty is a common treatment option for patients suffering from degenerative osteoarthritis. However, the patient satisfaction rate of this procedure remains a concern. The release of metal ions from the metallic implant materials can lead to adverse health effects in patients. Investigating this release of metal ions into the body may help assess health risks associated with these implants. The aim of this study is to further understand the kinetics of chromium ion release following total knee arthroplasty implantation through the development and validation of a biokinetic model. The biokinetic model developed in this study is a first-order compartmental model that outlines the transfer of chromium ions from the total knee arthroplasty implant into the body through transfer coefficients and derived equations. The transfer coefficients implemented in this model are based on existing literature and experimental data.
The model was calibrated by adjusting dosing parameters to optimize the model predictions in comparison to empirical measurements of chromium concentrations in the joint capsule tissues and the blood. Verification testing of this model was conducted to assess the model’s ability to predict chromium concentrations over a 15-year period following total knee arthroplasty surgery. The development of the biokinetic model provides insights into the kinetics of chromium ions in the body following total knee arthroplasty and can serve as a tool for assessing the health risks associated with orthopedic implants. Future research directions are identified to enhance the model’s predictive capabilities and clinical utility.
Contact Information
Natalia Broz
njb33@drexel.edu