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Can standard implants reproduce the native kinematics of a TKA patient?

4 pagesPublished: October 27, 2019

Abstract

Total knee arthroplasty (TKA) is a reliable surgical procedure, yet up to a fifth of primary implant patients remains unsatisfied. Musculoskeletal modeling (MSM) has the potential to explore the relationship between implant alignment and functional outcome [3]. Consequently, implant alignment can be quantitatively optimized to restore the pre- TKA joint behavior and, therefore, achieve the most favorable functional outcome for the specific patient. For this reason, we developed a method to optimize the implant alignment, with the aim of restoring the native kinematics and ligament elongations of the patient before undergoing TKA. Subject-specific optimization towards ligament elongations demonstrated to accurately emulate the pre-TKA ligament behavior, in contrast to the mechanically aligned approach. However, the values of the optimized implant positions resulting from the pre-TKA kinematic optimization were extreme in some cases. The presented modelling approach is a promising starting point for allowing surgeons to evaluate the patient-specific implant alignment and restore the patient- specific biomechanics.

Keyphrases: implant position optimization, kinematics, knee, ligament balancing, ligament elongations, Mechanical alignment, musculoskeletal modeling, planning, TKA

In: Patrick Meere and Ferdinando Rodriguez Y Baena (editors). CAOS 2019. The 19th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery, vol 3, pages 311--314

Links:
BibTeX entry
@inproceedings{CAOS2019:Can_standard_implants_reproduce,
  author    = {Maria Paz Quilez and Hendrik Pieter Delport and Roel Wirix-Speetjens and Mariska Wesseling and Maria Angeles Perez Anson and Ilse Jonkers and Jos Vander Sloten},
  title     = {Can standard implants reproduce the native kinematics of a TKA patient?},
  booktitle = {CAOS 2019. The 19th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery},
  editor    = {Patrick Meere and Ferdinando Rodriguez Y Baena},
  series    = {EPiC Series in Health Sciences},
  volume    = {3},
  pages     = {311--314},
  year      = {2019},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2398-5305},
  url       = {https://easychair.org/publications/paper/kLQw},
  doi       = {10.29007/7dsg}}
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