Literature DB >> 12052451

Estimation of distal radius failure load with micro-finite element analysis models based on three-dimensional peripheral quantitative computed tomography images.

W Pistoia1, B van Rietbergen, E-M Lochmüller, C A Lill, F Eckstein, P Rüegsegger.   

Abstract

There is increasing evidence that, in addition to bone mass, bone microarchitecture and its mechanical load distribution are important factors for the determination of bone strength. Recently, it has been shown that new high-resolution imaging techniques in combination with new modeling algorithms based on the finite element (FE) method can account for these additional factors. Such models thus could provide more relevant information for the estimation of bone failure load. The purpose of the present study was to determine whether results of whole-bone micro-FE (microFE) analyses with models based on three-dimensional peripheral quantitative computer tomography (3D-pQCT) images (isotropic voxel resolution of 165 microm) could predict the failure load of the human radius more accurately than results with dual-energy X-ray absorptiometry (DXA) or bone morphology measurements. For this purpose, microFE models were created using 54 embalmed cadaver arms. It was assumed that bone failure would be initiated if a certain percentage of the bone tissue (varied from 1% to 7%) would be strained beyond the tissue yield strain. The external force that produced this tissue strain was calculated from the FE analyses. These predictions were correlated with results of real compression testing on the same cadaver arms. The results of these compression tests were also correlated with results of DXA and structural measurements of these arms. The compression tests produced Colles-type fractures in the distal 4 cm of the radius. The predicted failure loads calculated from the FE analysis agreed well with those measured in the experiments (R(2) = 0.75 p < 0.001). Lower correlations were found with bone mass (R(2) = 0.48, p < 0.001) and bone structural parameters (R(2) = 0.57 p < 0.001). We conclude that application of the techniques investigated here can lead to a better prediction of the bone failure load for bone in vivo than is possible from DXA measurements, structural parameters, or a combination thereof.

Entities:  

Mesh:

Year:  2002        PMID: 12052451     DOI: 10.1016/s8756-3282(02)00736-6

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


  149 in total

1.  Fractures in Relation to Menstrual Status and Bone Parameters in Young Athletes.

Authors:  Kathryn E Ackerman; Natalia Cano Sokoloff; Giovana DE Nardo Maffazioli; Hannah M Clarke; Hang Lee; Madhusmita Misra
Journal:  Med Sci Sports Exerc       Date:  2015-08       Impact factor: 5.411

Review 2.  Bone microarchitecture and strength.

Authors:  David W Dempster
Journal:  Osteoporos Int       Date:  2003-08-29       Impact factor: 4.507

3.  Variations in morphological and biomechanical indices at the distal radius in subjects with identical BMD.

Authors:  Galateia J Kazakia; Andrew J Burghardt; Thomas M Link; Sharmila Majumdar
Journal:  J Biomech       Date:  2010-11-10       Impact factor: 2.712

4.  Cortical and trabecular bone microarchitecture as an independent predictor of incident fracture risk in older women and men in the Bone Microarchitecture International Consortium (BoMIC): a prospective study.

Authors:  Elizabeth J Samelson; Kerry E Broe; Hanfei Xu; Laiji Yang; Steven Boyd; Emmanuel Biver; Pawel Szulc; Jonathan Adachi; Shreyasee Amin; Elizabeth Atkinson; Claudie Berger; Lauren Burt; Roland Chapurlat; Thierry Chevalley; Serge Ferrari; David Goltzman; David A Hanley; Marian T Hannan; Sundeep Khosla; Ching-Ti Liu; Mattias Lorentzon; Dan Mellstrom; Blandine Merle; Maria Nethander; René Rizzoli; Elisabeth Sornay-Rendu; Bert Van Rietbergen; Daniel Sundh; Andy Kin On Wong; Claes Ohlsson; Serkalem Demissie; Douglas P Kiel; Mary L Bouxsein
Journal:  Lancet Diabetes Endocrinol       Date:  2018-11-28       Impact factor: 32.069

5.  Does thoracic or lumbar spine bone architecture predict vertebral failure strength more accurately than density?

Authors:  E-M Lochmüller; K Pöschl; L Würstlin; M Matsuura; R Müller; T M Link; F Eckstein
Journal:  Osteoporos Int       Date:  2007-10-03       Impact factor: 4.507

6.  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

7.  Nocturnal oxytocin secretion is lower in amenorrheic athletes than nonathletes and associated with bone microarchitecture and finite element analysis parameters.

Authors:  Elizabeth A Lawson; Kathryn E Ackerman; Nara Mendes Estella; Gabriela Guereca; Lisa Pierce; Patrick M Sluss; Mary L Bouxsein; Anne Klibanski; Madhusmita Misra
Journal:  Eur J Endocrinol       Date:  2013-02-20       Impact factor: 6.664

8.  Primary hyperparathyroidism is associated with abnormal cortical and trabecular microstructure and reduced bone stiffness in postmenopausal women.

Authors:  Emily M Stein; Barbara C Silva; Stephanie Boutroy; Bin Zhou; Ji Wang; Julia Udesky; Chiyuan Zhang; Donald J McMahon; Megan Romano; Elzbieta Dworakowski; Aline G Costa; Natalie Cusano; Dinaz Irani; Serge Cremers; Elizabeth Shane; X Edward Guo; John P Bilezikian
Journal:  J Bone Miner Res       Date:  2013-05       Impact factor: 6.741

9.  A new fracture assessment approach coupling HR-pQCT imaging and fracture mechanics-based finite element modeling.

Authors:  Ani Ural; Peter Bruno; Bin Zhou; X Tony Shi; X Edward Guo
Journal:  J Biomech       Date:  2013-03-13       Impact factor: 2.712

10.  Accurate and Efficient Plate and Rod Micro Finite Element Whole Bone Models Based on High-Resolution Peripheral Computed Tomography.

Authors:  Ji Wang; Bin Zhou; Yizhong Hu; Zhendong Zhang; Y Eric Yu; Shashank Nawathe; Kyle K Nishiyama; Tony M Keaveny; Elizabeth Shane; X Edward Guo
Journal:  J Biomech Eng       Date:  2019-01-31       Impact factor: 2.097

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.