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Research

TRANSLATION OF MATERIAL MODELS FOR BONE FRACTURE CALLUS FROM PRECLINICAL TO CLINICAL APPLICATIONS

The International Combined Orthopaedic Research Societies (ICORS), World Congress of Orthopaedic Research, Edinburgh, Scotland, 7–9 September 2022. Part 3 of 3.



Abstract

Virtual mechanical testing is a method for measuring bone healing using finite element models built from computed tomography (CT) scans. Previously, we validated a dual-zone material model for ovine fracture callus that differentiates between mineralized woven bone and soft tissue based on radiodensity.1 The objective of this study was to translate the dual-zone material model from sheep to two important clinical scenarios: human tibial fractures in early-stage healing and late-stage nonunions.

CT scans for N = 19 tibial shaft fractures were obtained prospectively at 12 weeks post-op. A second group of N = 33 tibial nonunions with CT scans were retrospectively identified. The modeling techniques were based on our published method.2 The dual-zone material model was implemented for humans by performing a cutoff sweep for both the 12-week and nonunion groups. Virtual torsional rigidity (VTR) was calculated as VTR = ML/φ [N-m2/°], where M is the moment reaction, L is the diaphyseal segment length, and φ is the angle of twist.

As the soft tissue cutoff was increased, the rigidity of the clinical fractures decreased and soft tissue located within the fracture gaps produced higher strains that are not predicted without the dual zone approach. The structural integrity of the nonunions varied, ranging from very low rigidities in atrophic cases to very high rigidities in highly calcified hypertrophic cases, even with dual-zone material modeling.

Human fracture calluses are heterogeneous, comprising of woven bone and interstitial soft tissue. Use of a dual-zone callus material model may be instrumental in identifying delayed unions during early healing when callus formation is minimal and/or predominantly fibrous with little mineralization.

ACKNOWLEDGEMENTS:

This work was supported by the National Science Foundation (NSF) grant CMMI-1943287.


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