|Abstract : Knee arthroplasty is a well-established procedure; however, although the success is well documented, around 12% of patient report bad short or long term results. Failure of the implant could be induced by several issues, as mechanical loosening, instability, fracture/wear of components and fracture of the bone.
Most of these problems are a direct consequence of a malposition of the prosthesis in the patient, that will cause prostheses deterioration (and failure) more often than expected. Hence, despite their good quality and standards, a knee arthroplasty, if implanted not in the right position, could exhibit frequent failure.
The main scientific goal of this research is the development and validation of a new numerical tool, based on the use of dynamic and static finite element analysis that will be used to optimize the position of a certain implant in a certain patient.
The use of patient specific advanced 3D computer modelling and simulations will enable to reproduce a high fidelity model of the joint during several daily activities trying to replicate the realistic behaviour of the patient. Patient bone and soft tissues anatomy and lifestyle will be used as parameters for developing such innovative tool.
The optimization will be based on the reduction of wear, bone/implant fracture, mechanical loosening and bone resorption. The numerical tool will be validated using previously developed numerical models, data from the literature and specific experimental test.|