Personalized treatment for optimized survival of revision total knee replacement
Many patients are successfully treated with a knee prosthesis, but sometimes complications arise. In a revision surgery bone loss occurs, making the placement of a new prosthesis more difficult. With this research, we are developing a tool to improve the planning and outcomes of revision surgery.
We do this with four studies:
- Developing an artificial intelligence (AI) model to predict bone loss and gain insight into the most common bone defects.
- Comparing the degree of loosening with different combinations of bone fillers and prostheses.
- Creating a large number of computer models to predict the results and risks of various surgical methods.
- The collected knowledge about optimal surgical methods for each type of bone loss is integrated into an application. This predicts the best method for each patient. With a clinical study we will investigate the short-term outcomes of the tool.
This study is a collaboration with Radboudumc and will run until December 2028.
