Personalized knee modeling for the prediction of biomedical impact of TKA on ligament loading - Archive ouverte HAL
Communication Dans Un Congrès Année : 2015

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.
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Dates et versions

hal-01406503 , version 1 (05-12-2016)

Identifiants

  • HAL Id : hal-01406503 , version 1

Citer

Boris Dousteyssier, Jérôme Molimard, Chafiaa Hamitouche-Djabou, W.S Han, Eric Stindel. Personalized knee modeling for the prediction of biomedical impact of TKA on ligament loading. CMBBE 2015 & Imaging and Visualization, Sep 2015, Montréal, Canada. ⟨hal-01406503⟩
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