Improving the Hip Fracture Risk Prediction Through 2D Finite Element Models From DXA Images: Validation Against 3D Models
| Autor: | Alberto Audenino, Alessandra Aldieri, G. Osella, Mara Terzini, Cristina Bignardi, Luca Rinaudo |
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| Rok vydání: | 2019 |
| Předmět: |
0301 basic medicine
Fracture risk Histology fracture risk lcsh:Biotechnology Osteoporosis Population Biomedical Engineering Bioengineering 02 engineering and technology finite element analysis 03 medical and health sciences lcsh:TP248.13-248.65 medicine education Original Research Orthodontics Bone mineral DXA Hip fracture education.field_of_study business.industry Bioengineering and Biotechnology Gold standard (test) 021001 nanoscience & nanotechnology medicine.disease osteoporosis Finite element method 030104 developmental biology hip fracture Fracture (geology) 0210 nano-technology business CT Biotechnology |
| Zdroj: | Frontiers in Bioengineering and Biotechnology, Vol 7 (2019) Frontiers in Bioengineering and Biotechnology |
| Popis: | Osteoporotic fracture incidence represents a major social and economic concern in the modern society, where the progressive greying of the population involves an highly increased fracture occurrence. Although the gold standard to diagnose osteoporosis is represented by the T-score measurement, estimated from the Bone Mineral Density (BMD) using Dual-energy X-ray Absorptiometry (DXA), the identification of the subjects at high risk of fracture still remains an issue. From this perspective, the purpose of this work is to investigate the role that DXA-based two-dimensional patient-specific finite element (FE) models of the proximal femur, in combination with T-score, could play in enhancing the risk of fracture estimation. With this aim, 2D FE models were built from DXA images of the twenty-eight post-menopausal female subjects involved. A sideways fall condition was reproduced and a Risk of Fracture ((RF) ) was computed on the basis of principal strains criteria. The identified (RF) was then compared to that derived from the CT-based models developed in a previous study. The 2D and 3D (RF) turned out to be significantly correlated (Spearman’s ρ=0.66,p |
| Databáze: | OpenAIRE |
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