IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v10y2022i18p3367-d916603.html
   My bibliography  Save this article

The Correlation between Bone Density and Mechanical Variables in Bone Remodelling Models: Insights from a Case Study Corresponding to the Femur of a Healthy Adult

Author

Listed:
  • José Luis Calvo-Gallego

    (Departmento de Ingeniería Mecánica y Fabricación, Universidad de Sevilla, 41092 Seville, Spain)

  • Fernando Gutiérrez-Millán

    (Departmento de Ingeniería Mecánica y Fabricación, Universidad de Sevilla, 41092 Seville, Spain)

  • Joaquín Ojeda

    (Departmento de Ingeniería Mecánica y Fabricación, Universidad de Sevilla, 41092 Seville, Spain)

  • María Ángeles Pérez

    (Multiscale in Mechanical and Biological Engineering, Instituto de Investigación en Ingeniería de Aragón (I3A), Instituto de Investigación Sanitaria Aragón (IIS Aragón), University of Zaragoza, 50018 Zaragoza, Spain)

  • Javier Martínez-Reina

    (Departmento de Ingeniería Mecánica y Fabricación, Universidad de Sevilla, 41092 Seville, Spain)

Abstract

Bone remodelling models (BRM) are often used to estimate the density distribution in bones from the loads they are subjected to. BRM define a relationship between a certain variable measuring the mechanical stimulus at each bone site and either the local density or the local variation of density. This agrees with the Mechanostat Theory, which establishes that overloaded bones increase their density, while disused bones tend to decrease their density. Many variables have been proposed as mechanical stimuli, with stress or strain energy density (SED) being some of the most common. Yet, no compelling reason has been given to justify the choice of any of these variables. This work proposes a set of variables derived from the local stress and strain tensors as candidates for mechanical stimuli; then, this work correlates them to the density in the femur of one individual. The stress and strain tensors were obtained from a FE model and the density was obtained from a CT-scan, both belonging to the same individual. The variables that best correlate with density are the stresses. Strains are quite uniform across the femur and very poorly correlated with density, as is the SED, which is, therefore, not a good variable to measure the mechanical stimulus.

Suggested Citation

  • José Luis Calvo-Gallego & Fernando Gutiérrez-Millán & Joaquín Ojeda & María Ángeles Pérez & Javier Martínez-Reina, 2022. "The Correlation between Bone Density and Mechanical Variables in Bone Remodelling Models: Insights from a Case Study Corresponding to the Femur of a Healthy Adult," Mathematics, MDPI, vol. 10(18), pages 1-29, September.
  • Handle: RePEc:gam:jmathe:v:10:y:2022:i:18:p:3367-:d:916603
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/10/18/3367/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/10/18/3367/
    Download Restriction: no
    ---><---

    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:gam:jmathe:v:10:y:2022:i:18:p:3367-:d:916603. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.