Literature DB >> 21376150

Computational finite element bone mechanics accurately predicts mechanical competence in the human radius of an elderly population.

Thomas L Mueller1, David Christen, Steve Sandercott, Steven K Boyd, Bert van Rietbergen, Felix Eckstein, Eva-Maria Lochmüller, Ralph Müller, G Harry van Lenthe.   

Abstract

High-resolution peripheral quantitative computed tomography (HR-pQCT) is clinically available today and provides a non-invasive measure of 3D bone geometry and micro-architecture with unprecedented detail. In combination with microarchitectural finite element (μFE) models it can be used to determine bone strength using a strain-based failure criterion. Yet, images from only a relatively small part of the radius are acquired and it is not known whether the region recommended for clinical measurements does predict forearm fracture load best. Furthermore, it is questionable whether the currently used failure criterion is optimal because of improvements in image resolution, changes in the clinically measured volume of interest, and because the failure criterion depends on the amount of bone present. Hence, we hypothesized that bone strength estimates would improve by measuring a region closer to the subchondral plate, and by defining a failure criterion that would be independent of the measured volume of interest. To answer our hypotheses, 20% of the distal forearm length from 100 cadaveric but intact human forearms was measured using HR-pQCT. μFE bone strength was analyzed for different subvolumes, as well as for the entire 20% of the distal radius length. Specifically, failure criteria were developed that provided accurate estimates of bone strength as assessed experimentally. It was shown that distal volumes were better in predicting bone strength than more proximal ones. Clinically speaking, this would argue to move the volume of interest for the HR-pQCT measurements even more distally than currently recommended by the manufacturer. Furthermore, new parameter settings using the strain-based failure criterion are presented providing better accuracy for bone strength estimates.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21376150     DOI: 10.1016/j.bone.2011.02.022

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


  51 in total

Review 1.  Advanced CT based in vivo methods for the assessment of bone density, structure, and strength.

Authors:  K Engelke; C Libanati; T Fuerst; P Zysset; H K Genant
Journal:  Curr Osteoporos Rep       Date:  2013-09       Impact factor: 5.096

2.  Predicting mouse vertebra strength with micro-computed tomography-derived finite element analysis.

Authors:  Jeffry S Nyman; Sasidhar Uppuganti; Alexander J Makowski; Barbara J Rowland; Alyssa R Merkel; Julie A Sterling; Todd L Bredbenner; Daniel S Perrien
Journal:  Bonekey Rep       Date:  2015-04-22

3.  Assessment of trabecular bone yield and post-yield behavior from high-resolution MRI-based nonlinear finite element analysis at the distal radius of premenopausal and postmenopausal women susceptible to osteoporosis.

Authors:  Ning Zhang; Jeremy F Magland; Chamith S Rajapakse; ShingChun Benny Lam; Felix W Wehrli
Journal:  Acad Radiol       Date:  2013-12       Impact factor: 3.173

4.  Volumetric Bone Mineral Density and Failure Load of Distal Limbs Predict Incident Clinical Fracture Independent HR-pQCT BMD and Failure Load Predicts Incident Clinical Fracture of FRAX and Clinical Risk Factors Among Older Men.

Authors:  Lisa Langsetmo; Katherine W Peters; Andrew J Burghardt; Kristine E Ensrud; Howard A Fink; Peggy M Cawthon; Jane A Cauley; John T Schousboe; Elizabeth Barrett-Connor; Eric S Orwoll
Journal:  J Bone Miner Res       Date:  2018-05-22       Impact factor: 6.741

5.  Red and White Blood Cell Counts Are Associated With Bone Marrow Adipose Tissue, Bone Mineral Density, and Bone Microarchitecture in Premenopausal Women.

Authors:  Sai Polineni; Megi Resulaj; Alexander T Faje; Erinne Meenaghan; Miriam A Bredella; Mary Bouxsein; Hang Lee; Ormond A MacDougald; Anne Klibanski; Pouneh K Fazeli
Journal:  J Bone Miner Res       Date:  2020-03-23       Impact factor: 6.741

6.  Micro-architecture study of the normal odontoid with micro-computed tomography.

Authors:  Wei Wang; Zhijun Li; Yingna Qi; Lianxiang Chen; Ping Yi; Feng Yang; Xiangsheng Tang; Mingsheng Tan
Journal:  J Spinal Cord Med       Date:  2018-10-02       Impact factor: 1.985

7.  Bone Strength Estimated by Micro-Finite Element Analysis (µFEA) Is Heritable and Shares Genetic Predisposition With Areal BMD: The Framingham Study.

Authors:  David Karasik; Serkalem Demissie; Darlene Lu; Kerry E Broe; Steven K Boyd; Ching-Ti Liu; Yi-Hsiang Hsu; Mary L Bouxsein; Douglas P Kiel
Journal:  J Bone Miner Res       Date:  2017-07-19       Impact factor: 6.741

8.  Association of High-resolution Peripheral Quantitative Computed Tomography (HR-pQCT) bone microarchitectural parameters with previous clinical fracture in older men: The Osteoporotic Fractures in Men (MrOS) study.

Authors:  Howard A Fink; Lisa Langsetmo; Tien N Vo; Eric S Orwoll; John T Schousboe; Kristine E Ensrud
Journal:  Bone       Date:  2018-05-08       Impact factor: 4.398

9.  Accelerated Bone Loss in Older Men: Effects on Bone Microarchitecture and Strength.

Authors:  Jane A Cauley; Andrew J Burghardt; Stephanie L Harrison; Peggy M Cawthon; Ann V Schwartz; Elizabeth Barrett Connor; Kristine E Ensrud; Lisa Langsetmo; Sharmila Majumdar; Eric Orwoll
Journal:  J Bone Miner Res       Date:  2018-06-12       Impact factor: 6.741

10.  Postmenopausal women treated with combination parathyroid hormone (1-84) and ibandronate demonstrate different microstructural changes at the radius vs. tibia: the PTH and Ibandronate Combination Study (PICS).

Authors:  A L Schafer; A J Burghardt; D E Sellmeyer; L Palermo; D M Shoback; S Majumdar; D M Black
Journal:  Osteoporos Int       Date:  2013-04-16       Impact factor: 4.507

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