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Development of a novel geometrically-parametric patient-specific finite element model for anterior cruciate ligament reconstruction.

Midiya KhademiMohammad HaghpanahiMohammad RaziAli SharifnezhadMohammad Nikkhoo
Published in: The Knee (2024)
The development of a personalized parametric model with adjustable geometric parameters in ACLR, such as the transplanted autograft diameter, as presented in this study, along with FE using the patient's kinetic data, allows for the examination and selection of an appropriate autograft diameter for Patella Tendon grafting. This can help reduce stress on the autograft and prevent damage to other knee joint tissues after ACLR.
Keyphrases
  • anterior cruciate ligament reconstruction
  • finite element
  • optic nerve
  • gene expression
  • oxidative stress
  • case report
  • machine learning
  • stress induced
  • heat stress