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Related Experiment Videos

An Invertible Mathematical Model of Cortical Bone's Adaptation to Mechanical Loading.

Jitendra Prasad1, Ajay Goyal2

  • 1Department of Mechanical Engineering, Indian Institute of Technology Ropar, Nangal Road Rupnagar, Punjab, 140001, India. jprasad@iitrpr.ac.in.

Scientific Reports
|April 12, 2019
PubMed
Summary

This study introduces an invertible bone remodeling model to predict mechanical loading for desired new bone formation. This tool can help treat bone loss by prescribing specific exercise or loading regimens.

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Area of Science:

  • Biomechanics
  • Orthopaedics
  • Computational modeling

Background:

  • Bone loss due to disuse (e.g., space flight, bed rest) is a significant clinical challenge.
  • Current models for predicting bone formation under mechanical loading are often non-invertible, limiting their clinical application.
  • Site-specific bone formation requires precise control over loading parameters.

Purpose of the Study:

  • To develop an invertible mathematical model for bone remodeling.
  • To predict mechanical loading parameters (peak strain, force magnitude/direction) for a desired site-specific mineral apposition rate (MAR).
  • To enable the inverse prediction of MAR for a given loading regimen.

Main Methods:

  • Development of a fast, invertible mathematical model of bone remodeling.

Related Experiment Videos

  • Numerical and experimental validation of the model's predictive capabilities.
  • Focus on predicting site-specific mineral apposition rate (MAR).

    • Main Results:

    • The proposed model is invertible, allowing prediction of loading parameters for a target MAR.
    • The model can also predict MAR based on given loading parameters.
    • Demonstrated potential for site-specific bone formation control.

    Conclusions:

    • The developed invertible model offers a novel approach to understanding and controlling bone remodeling.
    • This mathematical tool has the potential to aid orthopaedic surgeons in prescribing treatments for disuse-induced bone loss.
    • Facilitates personalized therapeutic strategies for bone regeneration and treatment of conditions like osteopenia.