IDEAS home Printed from https://ideas.repec.org/a/taf/gcmbxx/v23y2020i4p155-167.html
   My bibliography  Save this article

Individualized prediction of pedicle screw fixation strength with a finite element model

Author

Listed:
  • Jonas Widmer
  • Marie-Rosa Fasser
  • Eleonora Croci
  • José Spirig
  • Jess G. Snedeker
  • Mazda Farshad

Abstract

Pedicle screws are used for the treatment of a wide variety of spinal pathologies. A good screw holding power in bone is required for treatment success, but has so far not been predictable computationally. The goal of this study was to develop an automated tool able to predict patient-specific screw fixation strength through finite element simulation. We compared the simulation results with results from biomechanical pull-out tests performed on animal lumbar specimens. Experimental and simulation pull-out strengths were highly correlated (ρSpearman=0.821, p

Suggested Citation

  • Jonas Widmer & Marie-Rosa Fasser & Eleonora Croci & José Spirig & Jess G. Snedeker & Mazda Farshad, 2020. "Individualized prediction of pedicle screw fixation strength with a finite element model," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 23(4), pages 155-167, March.
  • Handle: RePEc:taf:gcmbxx:v:23:y:2020:i:4:p:155-167
    DOI: 10.1080/10255842.2019.1709173
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/10255842.2019.1709173
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/10255842.2019.1709173?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:gcmbxx:v:23:y:2020:i:4:p:155-167. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/gcmb .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.