Personalized knee modeling for the prediction of biomedical impact of TKA on ligament loading
Résumé
The Total Knee Arthroplasty is a surgical act that became common against osteoarthritis developing in this joint. According to a survey lead in 18 countries, 175 persons out of 100 000 need that kind of procedure [Kurtz, 2011]. The problem is that with a bad position of the prosthesis, it will age faster and another expensive surgical act will be needed [Liau, 2002] with its consequences: loss of mobility and pain for the patient. Nowadays some tools exist to help the surgeon in this procedure, more and more Computer Assisted Surgery are performed [O’Malley 2012] in order to place the knee prosthesis correctly at the first intervention. But this guidance is only based on the geometry of the bones.
This study aims to build a Finite Element model of the knee specific-patient allowing us to predict the biomechanical effects of the surgery. This may allow us to propose an optimal position for the knee implant.
Domaines
Biomécanique [physics.med-ph]Origine | Fichiers produits par l'(les) auteur(s) |
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