Abstract

Various parameters such as age, height, weight, and body mass index (BMI) influence the hip fracture risk in the elderly which is the most common injury during the sideways fall. This paper presents a parametric study of hip fracture risk based on the gender, age, height, weight, and BMI of subjects using the subject-specific QCT-based finite element modelling and simulation of single-leg stance and sideways fall loadings. Hip fracture risk is estimated using the strain energy failure criterion as a combination of bone stresses and strains leading to more accurate and reasonable results based on the bone failure mechanism. Understanding the effects of various parameters on hip fracture risk can help to prescribe more accurate preventive and treatment plans for a community based on the gender, age, height, weight, and BMI of the population. Results of this study show an increase in hip fracture risk with the increase of age, body height, weight, and BMI in both women and men under the single-leg stance and the sideways fall configurations.

Highlights

  • Hip fracture is one of the common injuries during the sideways fall especially for the elderlies where it may cause long-term disability and even death of individuals [1]

  • Developments and advances in imaging technologies, i.e., Dual-Energy X-ray Absorptiometry (DXA) and Quantitative Computed Tomography (QCT), and numerical methods such as the finite element (FE) method could create a reliable tool for accurate hip fracture risk assessment without the limitations of the statistical models depending on measuring bone mineral density (BMD)

  • The QCT images should be saved in the Digital Imaging and Communications in Medicine (DICOM) format and an appropriate segmentation should be applied to separate the femur from the soft tissue

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Summary

Introduction

Hip fracture is one of the common injuries during the sideways fall especially for the elderlies where it may cause long-term disability and even death of individuals [1]. CMC, 2022, vol., no.1 in many studies to predict hip fracture risk, high stress and strain regions, and failure loads of human femur. Kheirollahi et al [3,4,5,6] proposed studies estimating hip fracture risk index and determining high-risk regions of the human femur using the strain energy failure criterion via QCT-based FE modelling. A comparative study was presented by Bisheh et al [7] to assess hip fracture risk based on different failure criteria using QCT-based FE modelling. Dragomir-Daescu et al [8] presented a robust QCT-based FE model which can calculate proximal femur stiffness and hip fracture load during a sideways fall. In another study by Mirzaei et al [12], the strength and failure patterns of the human proximal femur were obtained using the QCT-based FE method

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