Micro-computed tomography assessment of the progression of fracture healing in mice

Kevin R. O'Neill, Christopher M. Stutz, Nicholas A. Mignemi, Michael C. Burns, Matthew R. Murry, Jeffry S. Nyman, Jonathan G. Schoenecker

Research output: Contribution to journalArticle

47 Citations (Scopus)

Abstract

The mouse fracture model is ideal for research into the pathways of healing because of the availability of genetic and transgenic mice and the ability to create cell-specific genetic mutations. While biomechanical tests and histology are available to assess callus integrity and tissue differentiation, respectively, micro-computed tomography (μCT) analysis has increasingly been utilized in fracture studies because it is non-destructive and provides descriptions of the structural and compositional properties of the callus. However, the dynamic changes of μCT properties that occur during healing are not well defined. Thus, the purpose of this study was to determine which μCT properties change with the progression of fracture repair and converge to values similar to unfractured bone in the mouse femur fracture model. A unilateral femur fracture was performed in C57BL/6 mice and intramedullary fixation performed. Fractured and un-fractured contralateral specimens were harvested from groups of mice between 2 and 12. weeks post-fracture. Parameters describing callus based on μCT were obtained, including polar moment of inertia (J), bending moment of inertia (I), total volume (TV), tissue mineral density (TMD), total bone volume fraction (BV/TV), and volumetric bone mineral density (vBMD). For comparison, plain radiographs were used to measure the callus diameter (D) and area (A); and biomechanical properties were evaluated using either three-point bending or torsion. The μCT parameters J, I, TV, and TMD converged toward their respective values of the un-fractured femurs over time, although significant differences existed between the two sides at every time point evaluated (p < 0.05). Radiograph measurement D changed with repair progression in similar manner to TV. In contrast, BV/TV and BMD increased and decreased over time with statistical differences between callus and un-fractured bone occurring sporadically. Similarly, none of the biomechanical properties were found to distinguish consistently between the fractured and un-fractured femur. Micro-CT parameters assessing callus structure and size (J, I, and TV) were more sensitive to changes in callus over time post-fracture than those assessing callus substance (TMD, BV/TV, and BMD). Sample size estimates based on these results indicate that utilization of μCT requires fewer animals than biomechanics and thus is more practical for evaluating the healing femur in the mouse fracture model.

Original languageEnglish (US)
Pages (from-to)1357-1367
Number of pages11
JournalBone
Volume50
Issue number6
DOIs
StatePublished - Jun 1 2012

Fingerprint

Fracture Healing
Bony Callus
Tomography
Femur
Bone Density
Minerals
Bone and Bones
Inbred C57BL Mouse
Biomechanical Phenomena
Sample Size
Transgenic Mice
Histology
Mutation
Research

Keywords

  • Biomechanics
  • Bone healing
  • Computed tomography
  • Fracture
  • Mouse

ASJC Scopus subject areas

  • Endocrinology, Diabetes and Metabolism
  • Histology
  • Physiology

Cite this

O'Neill, K. R., Stutz, C. M., Mignemi, N. A., Burns, M. C., Murry, M. R., Nyman, J. S., & Schoenecker, J. G. (2012). Micro-computed tomography assessment of the progression of fracture healing in mice. Bone, 50(6), 1357-1367. https://doi.org/10.1016/j.bone.2012.03.008

Micro-computed tomography assessment of the progression of fracture healing in mice. / O'Neill, Kevin R.; Stutz, Christopher M.; Mignemi, Nicholas A.; Burns, Michael C.; Murry, Matthew R.; Nyman, Jeffry S.; Schoenecker, Jonathan G.

In: Bone, Vol. 50, No. 6, 01.06.2012, p. 1357-1367.

Research output: Contribution to journalArticle

O'Neill, KR, Stutz, CM, Mignemi, NA, Burns, MC, Murry, MR, Nyman, JS & Schoenecker, JG 2012, 'Micro-computed tomography assessment of the progression of fracture healing in mice', Bone, vol. 50, no. 6, pp. 1357-1367. https://doi.org/10.1016/j.bone.2012.03.008
O'Neill, Kevin R. ; Stutz, Christopher M. ; Mignemi, Nicholas A. ; Burns, Michael C. ; Murry, Matthew R. ; Nyman, Jeffry S. ; Schoenecker, Jonathan G. / Micro-computed tomography assessment of the progression of fracture healing in mice. In: Bone. 2012 ; Vol. 50, No. 6. pp. 1357-1367.
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