Total and local experimental validation of a lumbar spine numerical model to enhance the orthopaedic management of spinal metastases


Published: 29 September 2021
Abstract views:
260


PDF:
194
Publisher's note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

Authors

  • Simone Borrelli PolitoBIOMed Lab, Department of Mechanical and Aerospace Engineering, Politecnico di Torino, Turin, Italy.
  • Giovanni Putame PolitoBIOMed Lab, Department of Mechanical and Aerospace Engineering, Politecnico di Torino, Turin, Italy.
  • Mara Terzini PolitoBIOMed Lab, Department of Mechanical and Aerospace Engineering, Politecnico di Torino, Turin, Italy.
  • Andrea Ferro Oncologic Orthopaedic Surgery Division, CTO Hospital - Città della Salute e della Scienza di Torino, Turin, Italy.
  • Stefano Marone Oncologic Orthopaedic Surgery Division, CTO Hospital - Città della Salute e della Scienza di Torino, Turin, Italy.
  • Cristina Bignardi PolitoBIOMed Lab, Department of Mechanical and Aerospace Engineering, Politecnico di Torino, Turin, Italy.
  • Alberto L. Audenino PolitoBIOMed Lab, Department of Mechanical and Aerospace Engineering, Politecnico di Torino, Turin, Italy.

This work shows a full biomechanical validation of a multibody lumbar model with respect to an experimental phantom, fruitful for giving major insights on different surgical vertebral metastasis treatments.


Borrelli, S., Putame, G., Terzini, M., Ferro, A., Marone, S., Bignardi, C., & Audenino, A. L. (2021). Total and local experimental validation of a lumbar spine numerical model to enhance the orthopaedic management of spinal metastases. Biomedical Science and Engineering, 2(1). https://doi.org/10.4081/bse.155

Downloads

Download data is not yet available.

Citations

Most read articles by the same author(s)