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ORIGINAL RESEARCH article

Front. Bioeng. Biotechnol.
Sec. Biomechanics
Volume 12 - 2024 | doi: 10.3389/fbioe.2024.1420047
This article is part of the Research Topic Motion Tracking and Deformation Analysis in Biomechanics View all 4 articles

Finite element simulations of smart fracture plates capable of cyclic shortening and lengthening: Which stroke for which fracture?

Provisionally accepted
  • Saarland University, Saarbrücken, Saarland, Germany

The final, formatted version of the article will be published soon.

    Bone healing can be improved by axial micromovement, as has been shown in animals and human patients with external fixators. In the development of smart fracture plates, the ideal amount of stroke for different fracture types in the differentand healing stages is currently unknown. It was hypothesized that the resulting strain in the fracture gap of a simple tibial shaft fracture does not vary with the amount of axial stroke in the plate, the fracture gap size, and the fracture angle. With finite element simulations based on body donation CT data, the second invariant of the deviatoric strain tensor (J2), strain energy density, hydrostatic strain, octahedral shear strain, and percentage of the fracture gap in the 'perfect healing window' were computed for different gap sizes (1 to 3 mm), angles (5° to 60°), and plate stroke levels (0.05 to 0.60 mm) in three healing stages. Multiple linear regression analyses were performed. Results showed that an active fracture plate should deliver an axial stroke in the range of 0.10 to 0.45 mm. Different optimal stroke values were found for each healing phase, namely 0.10 to 0.25 mm for the first, 0.10 mm for the second, and 0.35 to 0.45 mm for the third healing phase, depending on the fracture gap size and less on the fracture angle. J2, hydrostatic strain, octahedral shear strain and the strain energy density correlated with the fracture gap size and angle (all P < 0.001). The influence of the fracture gap size and angle on the variability (adjusted R2) in several outcome measures in the fracture gap was shown to vary throughout healing. The contribution to the variability of the percentage of the fracture gap in the perfect healing window was greatest during the second healing phase. For J2, strain energy density, hydrostatic strain, and octahedral shear strain, the fracture gap size showed the greatest contribution in the third fracture healing phase, while the influence of fracture angle was independent of the healing phase. The present findings are relevant for implant development and to design clinical studies that aim to accelerate fracture healing using axial micromovement.

    Keywords: Fracture Healing, Bone Regeneration, Computer Simulation, Smart implant, Active implant, Biomechanics, Osteosynthesis, Digital Health

    Received: 19 Apr 2024; Accepted: 01 Jul 2024.

    Copyright: © 2024 Roland, Diebels, Wickert, Pohlemann and Ganse. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Bergita Ganse, Saarland University, Saarbrücken, 66123, Saarland, Germany

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.