Literature DB >> 12211433

Radius bone strength in bending, compression, and falling and its correlation with clinical densitometry at multiple sites.

Eva-Maria Lochmüller1, Christoph A Lill, Volker Kuhn, Erich Schneider, Felix Eckstein.   

Abstract

This study comprehensively analyzes the ability of site-specific and nonsite-specific clinical densitometric techniques for predicting mechanical strength of the distal radius in different loading configurations. DXA of the distal forearm, spine, femur, and total body and peripheral quantitative computed tomography (pQCT) measurements of the distal radius (4, 20, and 33%) were obtained in situ (with soft tissues) in 129 cadavers, aged 80.16 +/- 9.8 years. Spinal QCT and calcaneal quantitative ultrasound (QUS) were performed ex situ in degassed specimens. The left radius was tested in three-point bending and axial compression, and the right forearm was tested in a fall configuration, respectively. Correlation coefficients with radius DXA were r = 0.89, 0.84, and 0.70 for failure in three-point bending, axial compression, and the fall simulation, respectively. The correlation with pQCT (r = 0.75 for multiple regression models with the fall) was not significantly higher than for DXA. Nonsite-specific measurements and calcaneal QUS displayed significantly (p < 0.01) lower correlation coefficients, and QUS did only contribute to the prediction of axial failure stress but not of failure load. We conclude that a combination of pQCT parameters involves only marginal improvement in predicting mechanical strength of the distal radius, nonsite-specific measurements are less accurate for this purpose, and QUS adds only little independent information to site-specific bone mass. Therefore, the noninvasive diagnosis of loss of strength at the distal radius should rely on site-specific measurements with DXA or pQCT and may be the earliest chance to detect individuals at risk of osteoporotic fracture.

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Year:  2002        PMID: 12211433     DOI: 10.1359/jbmr.2002.17.9.1629

Source DB:  PubMed          Journal:  J Bone Miner Res        ISSN: 0884-0431            Impact factor:   6.741


  29 in total

1.  Can geometry-based parameters from pQCT and material parameters from quantitative ultrasound (QUS) improve the prediction of radial bone strength over that by bone mass (DXA)?

Authors:  M Hudelmaier; V Kuhn; E M Lochmüller; H Well; M Priemel; T M Link; F Eckstein
Journal:  Osteoporos Int       Date:  2004-01-22       Impact factor: 4.507

2.  Precompetitive and recreational gymnasts have greater bone density, mass, and estimated strength at the distal radius in young childhood.

Authors:  M C Erlandson; S A Kontulainen; A D G Baxter-Jones
Journal:  Osteoporos Int       Date:  2010-05-11       Impact factor: 4.507

Review 3.  Bone geometry and skeletal fragility.

Authors:  Mary L Bouxsein; David Karasik
Journal:  Curr Osteoporos Rep       Date:  2006-06       Impact factor: 5.096

4.  Accuracy of pQCT for evaluating the aged human radius: an ashing, histomorphometry and failure load investigation.

Authors:  M C Ashe; K M Khan; S A Kontulainen; P Guy; D Liu; T J Beck; H A McKay
Journal:  Osteoporos Int       Date:  2006-05-09       Impact factor: 4.507

5.  Cortical and trabecular bone structure analysis at the distal radius-prediction of biomechanical strength by DXA and MRI.

Authors:  Thomas Baum; Melanie Kutscher; Dirk Müller; Christoph Räth; Felix Eckstein; Eva-Maria Lochmüller; Ernst J Rummeny; Thomas M Link; Jan S Bauer
Journal:  J Bone Miner Metab       Date:  2012-11-22       Impact factor: 2.626

6.  Potential of in vivo MRI-based nonlinear finite-element analysis for the assessment of trabecular bone post-yield properties.

Authors:  Ning Zhang; Jeremy F Magland; Chamith S Rajapakse; Yusuf A Bhagat; Felix W Wehrli
Journal:  Med Phys       Date:  2013-05       Impact factor: 4.071

7.  Deleting Rac1 improves vertebral bone quality and resistance to fracture in a murine ovariectomy model.

Authors:  J K R S Magalhaes; M D Grynpas; T L Willett; M Glogauer
Journal:  Osteoporos Int       Date:  2010-08-04       Impact factor: 4.507

8.  Polarization in Raman spectroscopy helps explain bone brittleness in genetic mouse models.

Authors:  Alexander J Makowski; Isaac J Pence; Sasidhar Uppuganti; Ahbid Zein-Sabatto; Meredith C Huszagh; Anita Mahadevan-Jansen; Jeffry S Nyman
Journal:  J Biomed Opt       Date:  2014       Impact factor: 3.170

9.  Gender differences in trabecular bone architecture of the distal radius assessed with magnetic resonance imaging and implications for mechanical competence.

Authors:  Martin Hudelmaier; A Kollstedt; E M Lochmüller; V Kuhn; F Eckstein; T M Link
Journal:  Osteoporos Int       Date:  2005-03-03       Impact factor: 4.507

10.  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

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