title: Micro-computed tomography assessment of fracture healing: relationships among callus structure, composition, and mechanical function.
abstract: Non-invasive characterization of fracture callus structure and composition may facilitate development of surrogate measures of the regain of mechanical function. As such, quantitative computed tomography- (CT-) based analyses of fracture calluses could enable more reliable clinical assessments of bone healing. Although previous studies have used CT to quantify and predict fracture healing, it is unclear which of the many CT-derived metrics of callus structure and composition are the most predictive of callus mechanical properties. The goal of this study was to identify the changes in fracture callus structure and composition that occur over time and that are most closely related to the regain of mechanical function. Micro-computed tomography (microCT) imaging and torsion testing were performed on murine fracture calluses (n=188) at multiple post-fracture timepoints and under different experimental conditions that alter fracture healing. Total callus volume (TV), mineralized callus volume (BV), callus mineralized volume fraction (BV/TV), bone mineral content (BMC), tissue mineral density (TMD), standard deviation of mineral density (sigma(TMD)), effective polar moment of inertia (J(eff)), torsional strength, and torsional rigidity were quantified. Multivariate statistical analyses, including multivariate analysis of variance, principal components analysis, and stepwise regression were used to identify differences in callus structure and composition among experimental groups and to determine which of the microCT outcome measures were the strongest predictors of mechanical properties. Although calluses varied greatly in the absolute and relative amounts of mineralized tissue (BV, BMC, and BV/TV), differences among timepoints were most strongly associated with changes in tissue mineral density. Torsional strength and rigidity were dependent on mineral density as well as the amount of mineralized tissue: TMD, BV, and sigma(TMD) explained 62% of the variation in torsional strength (p<0.001); and TMD, BMC, BV/TV, and sigma(TMD) explained 70% of the variation in torsional rigidity (p<0.001). These results indicate that fracture callus mechanical properties can be predicted by several microCT-derived measures of callus structure and composition. These findings form the basis for developing non-invasive assessments of fracture healing and for identifying biological and biomechanical mechanisms that lead to impaired or enhanced healing.
authors.affiliation: Orthopaedic and Developmental Biomechanics Laboratory, Department of Mechanical Engineering, Boston University, Boston, MA 02215, USA. efmorgan@bu.edu
authors.forename: Elise F
authors.initials: EF
authors.lastname: Morgan
authors.forename: Zachary D
authors.initials: ZD
authors.lastname: Mason
authors.forename: Karen B
authors.initials: KB
authors.lastname: Chien
authors.forename: Anthony J
authors.initials: AJ
authors.lastname: Pfeiffer
authors.forename: George L
authors.initials: GL
authors.lastname: Barnes
authors.forename: Thomas A
authors.initials: TA
authors.lastname: Einhorn
authors.forename: Louis C
authors.initials: LC
authors.lastname: Gerstenfeld
mesh_terms: D000818:Animals; D001696:Biomechanical Phenomena; D002146:Bony Callus / Q000502:physiology*; D017102:Fracture Healing; D021621:Imaging, Three-Dimensional; D008297:Male; D051379:Mice; D008810:Mice, Inbred C57BL; D025341:Principal Component Analysis; D012044:Regression Analysis; D019415:Torque; D055114:X-Ray Microtomography