Understanding Hip Fracture by QCT-Based Finite Element Modeling

Kheirollahi, Hossein; Luo, Yunhua

doi:10.1007/s40846-017-0266-9

Cited by 2 publications

(3 citation statements)

References 24 publications

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“…This correlation is strong (p < 0.05) at the three critical cross-sections of the femur for both females and males during the single-leg stance, the smallest femoral neck crosssection of females and males during the sideways fall, and the subtrochanteric cross-section of males during the sideways fall (Tabs. [3][4][5][6]. While there is a weak correlation (p > 0.05) between FRI and BMI at the intertrochanteric cross-section of both females and males during the sideways fall and the subtrochanteric cross-section of females during the sideways fall (Tabs.…”

Section: Parametric Study Of Hip Fracture Riskmentioning

confidence: 99%

“…A combination of QCT imaging and FE modelling has been employed in many studies to predict hip fracture risk, high stress and strain regions, and failure loads of human femur. For example, 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.…”

Section: Introductionmentioning

confidence: 99%

“…In this paper, the correlations between the hip fracture risk and different human body parameters such as age, body height, body weight, and BMI are investigated and attained for 30 females (totally 60 right and left femurs) and 30 males (totally 60 right and left femurs). To this purpose, we construct a subject-specific QCT-based FE model of the femur using Mimics and ANSYS software based on the QCT data of subjects and then hip fracture risk index is calculated based on the strain energy criterion using MATLAB codes at the critical regions of the femur, locations usually receiving higher stress and strain within sideways fall [5,6]. The hip fracture risk index variations with age, body height, body weight, and BMI (representative of body shape) at the three critical cross-sections of the femur during the single-leg stance and the sideways fall for 30 females and 30 males are shown in the scattered plots.…”

Section: Introductionmentioning

confidence: 99%

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Parametric Study of Hip Fracture Risk Using QCT-Based Finite Element Analysis

Zeidabadi¹,

Doumari²,

Dehghani³

et al. 2022

Computers, Materials &Amp; Continua

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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.

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Section: Parametric Study Of Hip Fracture Riskmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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