Biomechanical duality of fracture healing captured using virtual mechanical testing and validated in ovine bones

Sci Rep. 2022 Feb 15;12(1):2492. doi: 10.1038/s41598-022-06267-8.

Abstract

Bone fractures commonly repair by forming a bridging structure called callus, which begins as soft tissue and gradually ossifies to restore rigidity to the bone. Virtual mechanical testing is a promising technique for image-based assessment of structural bone healing in both preclinical and clinical settings, but its accuracy depends on the validity of the material model used to assign tissue mechanical properties. The goal of this study was to develop a constitutive model for callus that captures the heterogeneity and biomechanical duality of the callus, which contains both soft tissue and woven bone. To achieve this, a large-scale optimization analysis was performed on 2363 variations of 3D finite element models derived from computed tomography (CT) scans of 33 osteotomized sheep under normal and delayed healing conditions. A piecewise material model was identified that produced high absolute agreement between virtual and physical tests by differentiating between soft and hard callus based on radiodensity. The results showed that the structural integrity of a healing long bone is conferred by an internal architecture of mineralized hard callus that is supported by interstitial soft tissue. These findings suggest that with appropriate material modeling, virtual mechanical testing is a reliable surrogate for physical biomechanical testing.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Animals
  • Biomechanical Phenomena
  • Bone and Bones / diagnostic imaging
  • Bone and Bones / physiology*
  • Connective Tissue / diagnostic imaging
  • Connective Tissue / physiology
  • Finite Element Analysis
  • Fracture Healing / physiology*
  • Fractures, Bone / physiopathology*
  • Mechanical Tests / methods*
  • Osteogenesis / physiology*
  • Sheep
  • Tomography, X-Ray Computed / methods