Comparison of methods for assigning the material properties of the distraction callus in computational models
| Autor: | María Esther Reina‐Romo, Jaime Domínguez, Melchor López, Juan Mora-Macías, M.A. Giráldez-Sánchez |
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| Přispěvatelé: | Ministerio de Economía y Competitividad (España), Ministerio de Ciencia, Innovación y Universidades (España), Agencia Estatal de Investigación (España) |
| Rok vydání: | 2019 |
| Předmět: |
Models
Anatomic Distraction osteogenesis medicine.medical_treatment Osteogenesis Distraction 02 engineering and technology 030204 cardiovascular system & hematology Bone tissue 0302 clinical medicine Bony Callus Fracture Healing Applied Mathematics Stiffness Callus stiffness musculoskeletal system Finite element method Biomechanical Phenomena medicine.anatomical_structure Computational Theory and Mathematics Modeling and Simulation Female medicine.symptom Material properties Porosity Materials science Finite Element Analysis 0206 medical engineering Biomedical Engineering Bone healing Models Biological 03 medical and health sciences Imaging Three-Dimensional Elastic Modulus In vivo medicine Animals Humans Computer Simulation Molecular Biology Elastic modulus Sheep Domestic Bone transport In silico Computerized tomography 020601 biomedical engineering Callus Stress Mechanical Tomography X-Ray Computed Software Biomedical engineering |
| Zdroj: | Digital.CSIC. Repositorio Institucional del CSIC instname |
| Popis: | In silico models of distraction osteogenesis and fracture healing usually assume constant mechanical properties for the new bone tissue generated. In addition, these models do not always account for the porosity of the woven bone and its evolution. In this study, finite element analyses based on computed tomography (CT) are used to predict the stiffness of the callus until 69 weeks after surgery using 15 CT images obtained at different stages of an experiment on bone transport, technique in which distraction osteogenesis is used to correct bone defects. Three different approaches were used to assign the mechanical properties to the new bone tissue. First, constant mechanical properties of the hard callus tissue and no porosity were assumed. Nevertheless, this approach did not show good correlations. Second, random variations in the elastic modulus and porosity of the woven bone were taken from previous experimental studies. Finally, the elastic properties of each element were assigned depending on gray scale in CT images. The numerically predicted callus stiffness was compared with previous in vivo measurements. It was concluded firstly that assignment depending on gray scale is the method that provides the best results and secondly that the method that considers a random distribution of porosity and elastic modulus of the callus is also suitable to predict the callus stiffness from 15 weeks after surgery. This finding provides a method for assigning the material properties of the distraction callus, which does not require CT images and may contribute to improve current in silico models. The authors gratefully acknowledge the Ministerio de Economía y Competitividad del Gobierno España (DPI2014‐58233‐P and DPI2017‐82501‐P) for research funding. |
| Databáze: | OpenAIRE |
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