Literature DB >> 31926345

MRI-based assessment of proximal femur strength compared to mechanical testing.

Chamith S Rajapakse1, Alexander R Farid2, Daniel C Kargilis2, Brandon C Jones2, Jae S Lee2, Alyssa J Johncola2, Alexandra S Batzdorf2, Snehal S Shetye3, Michael W Hast3, Gregory Chang4.   

Abstract

Half of the women who sustain a hip fracture would not qualify for osteoporosis treatment based on current DXA-estimated bone mineral density criteria. Therefore, a better approach is needed to determine if an individual is at risk of hip fracture from a fall. The objective of this study was to determine the association between radiation-free MRI-derived bone strength and strain simulations compared to results from direct mechanical testing of cadaveric femora. Imaging was conducted on a 3-Tesla MRI scanner using two sequences: one balanced steady-state free precession sequence with 300 μm isotropic voxel size and one spoiled gradient echo with anisotropic voxel size of 234 × 234 × 1500 μm. Femora were dissected free of soft-tissue and 4350-ohm strain-gauges were securely applied to surfaces at the femoral shaft, inferior neck, greater trochanter, and superior neck. Cadavers were mechanically tested with a hydraulic universal test frame to simulate loading in a sideways fall orientation. Sideways fall forces were simulated on MRI-based finite element meshes and bone stiffness, failure force, and force for plastic deformation were computed. Simulated bone strength metrics from the 300 μm isotropic sequence showed strong agreement with experimentally obtained values of bone strength, with stiffness (r = 0.88, p = 0.0002), plastic deformation point (r = 0.89, p < 0.0001), and failure force (r = 0.92, p < 0.0001). The anisotropic sequence showed similar trends for stiffness, plastic deformation point, and failure force (r = 0.68, 0.70, 0.84; p = 0.02, 0.01, 0.0006, respectively). Surface strain-gauge measurements showed moderate to strong agreement with simulated magnitude strain values at the greater trochanter, superior neck, and inferior neck (r = -0.97, -0.86, 0.80; p ≤0.0001, 0.003, 0.03, respectively). The findings from this study support the use of MRI-based FE analysis of the hip to reliably predict the mechanical competence of the human femur in clinical settings.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Biomechanics; Cadaver; Femur; Finite element analysis; Hip Fracture; Imaging; MRI

Mesh:

Year:  2020        PMID: 31926345      PMCID: PMC7096175          DOI: 10.1016/j.bone.2020.115227

Source DB:  PubMed          Journal:  Bone        ISSN: 1873-2763            Impact factor:   4.398


  67 in total

1.  Accuracy of finite element predictions in sideways load configurations for the proximal human femur.

Authors:  L Grassi; E Schileo; F Taddei; L Zani; M Juszczyk; L Cristofolini; M Viceconti
Journal:  J Biomech       Date:  2011-11-12       Impact factor: 2.712

2.  Comparison of 3D finite element analysis derived stiffness and BMD to determine the failure load of the excised proximal femur.

Authors:  C M Langton; S Pisharody; J H Keyak
Journal:  Med Eng Phys       Date:  2009-02-20       Impact factor: 2.242

3.  Prediction of fracture location in the proximal femur using finite element models.

Authors:  J H Keyak; S A Rossi; K A Jones; C M Les; H B Skinner
Journal:  Med Eng Phys       Date:  2001-11       Impact factor: 2.242

4.  Variable flip angle three-dimensional fast spin-echo sequence combined with outer volume suppression for imaging trabecular bone structure of the proximal femur.

Authors:  Misung Han; Ko Chiba; Suchandrima Banerjee; Julio Carballido-Gamio; Roland Krug
Journal:  J Magn Reson Imaging       Date:  2014-06-23       Impact factor: 4.813

5.  The Effect of Material Heterogeneity, Element Type, and Down-Sampling on Trabecular Stiffness in Micro Finite Element Models.

Authors:  Nikolas K Knowles; Kenneth Ip; Louis M Ferreira
Journal:  Ann Biomed Eng       Date:  2018-10-25       Impact factor: 3.934

Review 6.  Bone composition: relationship to bone fragility and antiosteoporotic drug effects.

Authors:  Adele L Boskey
Journal:  Bonekey Rep       Date:  2013-12-04

7.  Accuracy of MRI-based finite element assessment of distal tibia compared to mechanical testing.

Authors:  Chamith S Rajapakse; Elizabeth A Kobe; Alexandra S Batzdorf; Michael W Hast; Felix W Wehrli
Journal:  Bone       Date:  2017-12-24       Impact factor: 4.398

8.  Incidence and economic burden of osteoporosis-related fractures in the United States, 2005-2025.

Authors:  Russel Burge; Bess Dawson-Hughes; Daniel H Solomon; John B Wong; Alison King; Anna Tosteson
Journal:  J Bone Miner Res       Date:  2007-03       Impact factor: 6.741

9.  Incidence and cost of serious fall-related injuries in nursing homes.

Authors:  Patricia A Quigley; Robert R Campbell; Tatjana Bulat; Ronald L Olney; Peter Buerhaus; Jack Needleman
Journal:  Clin Nurs Res       Date:  2011-07-25       Impact factor: 2.075

10.  Computationally-optimized bone mechanical modeling from high-resolution structural images.

Authors:  Jeremy F Magland; Ning Zhang; Chamith S Rajapakse; Felix W Wehrli
Journal:  PLoS One       Date:  2012-04-25       Impact factor: 3.240

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  2 in total

Review 1.  Finite Element Assessment of Bone Fragility from Clinical Images.

Authors:  Enrico Schileo; Fulvia Taddei
Journal:  Curr Osteoporos Rep       Date:  2021-12-21       Impact factor: 5.096

2.  Bone microarchitecture in patients undergoing parathyroidectomy for management of secondary hyperparathyroidism.

Authors:  Irene Ruderman; Chamith S Rajapakse; Angelica Opperman; Patricia L Robertson; Rosemary Masterson; Mark K Tiong; Nigel D Toussaint
Journal:  Bone Rep       Date:  2020-07-15
  2 in total

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