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Assessment of hip fracture risk by a two-level subject-specific biomechanical model

Sideways fall-induced hip fracture is a major worldwide health problem among the elderly population. Biomechanical modeling is a practical way to study hip fracture risk. However, all existing biomechanical models for assessing hip fracture risk mainly consider the femur-related parameters. Their accuracy is limited as hip fracture is significantly affected by loading conditions as well. The objective of this study is to introduce a two-level subject-specific model to improve the assessment of hip fracture risk.
The proposed biomechanical model consists of a whole-body dynamics model and a proximal femur finite element model, which are constructed from the subject’s whole-body and hip DXA (dual energy X-ray absorptiometry) scan. The whole-body dynamics model is used to determine the impact force onto the hip during a sideways fall. Obtained load/constraint conditions are applied to the finite element model in order to determine the stress/strain distribution in the proximal femur. Fracture risk index is then defined over the critical locations of the femur using the finite element solutions.
It is found that hip fracture risk is significantly affected by the subject’s body configuration during the fall, body anthropometric parameters, trochanteric soft tissue thickness, load/constraint conditions, and bone mineral density, which are not effectively taken into account by currently available hip fracture discriminatory tools. Predicted hip fracture risk of 130 clinical cases, including 80 females and 50 males, by the proposed model reveals that biomechanical determinants of hip fracture differ widely from individual to individual. This study presents the first in-depth subject-specific model that provides a comprehensive, fast, accurate, and non-expensive method for assessing the hip fracture risk. The proposed model can be easily adopted in clinical centers to identify patients at high risk of hip fracture who may benefit from the in-time treatment to reduce the fracture risk. / May 2016

  1. Masoud Nasiri Sarvi, Yunhua Luo, 2015, “A Two-Level Subject-Specific Biomechanical Model for Improving Prediction of Hip Fracture Risk”, Clinical Biomechanics, vol. 30, no. 8, pp. 881-887
  2. Masoud Nasiri Sarvi, Yunhua Luo, Peidong Sun, Jun Ouyang, 2014, “Experimental Validation of Subject-Specific Dynamics Model for Predicting Impact Force in Sideways Fall”, Journal of Biomedical Science and Engineering, vol. 7, no. 7, pp. 405-418
  3. Yunhua Luo, Masoud Nasiri Sarvi, 2015, “A Subject-Specific Inverse-Dynamics Ap-proach for Estimating Joint Stiffness in Sideways Fall”, International Journal of Experi-mental and Computational Biomechanics, vol. 3, no. 2, pp. 137-160
  4. Yunhua Luo, Masoud Nasiri Sarvi, Peidong Sun, William D. Leslie, Jun Ouyang, 2014, “Prediction of Impact Force in Sideways Fall by Image-Based Subject-Specific Dynamics Model”, International Biomechanics, DOI: 10.1080/23310472.2014.975745
  5. Yunhua Luo, Masoud Nasiri Sarvi, Peidong Sun, Jun Ouyang, 2013, “A Subject-Specific Dynamics Model for Predicting Impact Force in Elderly Lateral Fall”, Applied Mechanics and Materials, vol. 446-447, pp. 339-343
  6. Masoud Nasiri Sarvi, Yunhua Luo, “Development of an Image-Based Biomechanical Model for Assessment of Hip Fracture Risk”, ASME 2015 International Design Engi-neering Technical Conference & Computers and Information in Engineering Conference, IDETC/CIE 2015, August 2-5, 2015, Boston, Massachusetts, USA
  7. Masoud Nasiri Sarvi, Yunhua Luo, “A Compound Risk Indicator for Subject-Specific Prediction of Hip Fracture in Sideways Falls”, ASME 2015 International Design Engi-neering Technical Conference & Computers and Information in Engineering Conference, IDETC/CIE 2015, August 2-5, 2015, Boston, Massachusetts, USA
  8. http://hdl.handle.net/1993/31139
Identiferoai:union.ndltd.org:MANITOBA/oai:mspace.lib.umanitoba.ca:1993/31139
Date January 2015
CreatorsNasiri Sarvi, Masoud
ContributorsLuo, Yunhua (Mechanical Engineering), Peng, Qingjin (Mechanical Engineering) Filizadeh, Shaahin (Electrical & Computer Engineering) Robinovitch, Stephen (Simon Fraser University Biomedical Physiology and Kinesiology)
PublisherElsevier, Scientific Research, InderScience Publishers, Taylor & Francis, Trans Tech Publications, ASME, ASME
Source SetsUniversity of Manitoba Canada
Detected LanguageEnglish

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