Literature DB >> 14740151

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)?

M Hudelmaier1, V Kuhn, E M Lochmüller, H Well, M Priemel, T M Link, F Eckstein.   

Abstract

The diagnosis of osteoporosis is generally based on the assessment of bone mineral content with dual X-ray absorptiometry (DXA) but does not account for the spatial distribution and inherent material properties of the tissue. Peripheral quantitative computed tomography (pQCT) permits one to measure the compartment-specific density and geometry-based parameters of cortical bone. Quantitative ultrasound (QUS) parameters are associated with material properties of cortical bone. The purpose of this study was to test the hypothesis that pQCT and cortical QUS provide additional information to DXA in predicting structural strength of the distal radius. The intact right arm and the isolated left radius were harvested from 70 formalin-fixed cadavers (age 79+/-11 years). The bone mineral content (BMC) was assessed with DXA at the radial metaphysis and shaft. pQCT was also used at the metaphysis and the shaft, while QUS was employed only at the shaft. The failure loads of the radius were assessed by use of a 3-point bending test (isolated radius) and a complex fall simulation (intact arm). The BMC (DXA) displayed a correlation of r=0.96 with the failure moments in 3-point bending ( P<0.001). The correlation between failure load and geometry-based parameters (pQCT) ranged from r=0.85 to r=0.96 and was r=0.64 for the speed of sound (QUS) ( P <0.001). Cortical thickness (pQCT) improved the prediction marginally (r=0.964) in combination with DXA. For the fall simulation, the correlation coefficients were r=0.76 for BMC (DXA) of the shaft, r=0.83 for metaphyseal bone content (pQCT), r=0.55 for QUS, and ranged from r=0.59 to r=0.74 for geometry-based parameters at the shaft (pQCT). pQCT and QUS parameters provided no significant improvement versus DXA alone. Measurement of bone mass by DXA or pQCT thus appears to be sufficient as a surrogate of mechanical strength and fracture risk of the distal radius.

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Year:  2004        PMID: 14740151     DOI: 10.1007/s00198-003-1551-8

Source DB:  PubMed          Journal:  Osteoporos Int        ISSN: 0937-941X            Impact factor:   4.507


  20 in total

1.  Speed of sound reflects Young's modulus as assessed by microstructural finite element analysis.

Authors:  J P van den Bergh; G H van Lenthe; A R Hermus; F H Corstens; A G Smals; R Huiskes
Journal:  Bone       Date:  2000-05       Impact factor: 4.398

2.  Ultrasound velocity and cortical bone characteristics in vivo.

Authors:  H Sievänen; S Cheng; S Ollikainen; K Uusi-Rasi
Journal:  Osteoporos Int       Date:  2001       Impact factor: 4.507

Review 3.  If bone is the answer, then what is the question?

Authors:  R Huiskes
Journal:  J Anat       Date:  2000-08       Impact factor: 2.610

4.  Prediction of fracture risk in postmenopausal white women with peripheral bone densitometry: evidence from the National Osteoporosis Risk Assessment.

Authors:  Paul D Miller; Ethel S Siris; Elizabeth Barrett-Connor; Kenneth G Faulkner; Lois E Wehren; Thomas A Abbott; Ya-Ting Chen; Marc L Berger; Arthur C Santora; Louis M Sherwood
Journal:  J Bone Miner Res       Date:  2002-12       Impact factor: 6.741

5.  Quantitative ultrasound of the tibia depends on both cortical density and thickness.

Authors:  S Prevrhal; T Fuerst; B Fan; C Njeh; D Hans; M Uffmann; S Srivastav; H K Genant
Journal:  Osteoporos Int       Date:  2001       Impact factor: 4.507

6.  Determination of calcaneal ultrasound properties ex situ: reproducibility, effects of storage, formalin fixation, maceration, and changes in anatomic measurement site.

Authors:  G Pöpperl; E Lochmüller; H Becker; G Mall; M Steinlechner; F Eckstein
Journal:  Calcif Tissue Int       Date:  1999-09       Impact factor: 4.333

7.  Does combining the results from multiple bone sites measured by a new quantitative ultrasound device improve discrimination of hip fracture?

Authors:  D Hans; S K Srivastav; C Singal; R Barkmann; C F Njeh; E Kantorovich; C C Glüer; H K Genant
Journal:  J Bone Miner Res       Date:  1999-04       Impact factor: 6.741

8.  Quantitative ultrasound and bone densitometry to evaluate the risk of nonspine fractures: a prospective study.

Authors:  S Gnudi; C Ripamonti; N Malavolta
Journal:  Osteoporos Int       Date:  2000       Impact factor: 4.507

9.  Distal radius fractures: mechanisms of injury and strength prediction by bone mineral assessment.

Authors:  P Augat; H Iida; Y Jiang; E Diao; H K Genant
Journal:  J Orthop Res       Date:  1998-09       Impact factor: 3.494

10.  Formalin fixation effects on vertebral bone density and failure mechanics: an in-vitro study of human and sheep vertebrae.

Authors:  S J Edmondston; K P Singer; R E Day; P D Breidahl; R I Price
Journal:  Clin Biomech (Bristol, Avon)       Date:  1994-05       Impact factor: 2.063

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  14 in total

1.  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

Review 2.  Mineral changes in osteoporosis: a review.

Authors:  Dan Faibish; Susan M Ott; Adele L Boskey
Journal:  Clin Orthop Relat Res       Date:  2006-02       Impact factor: 4.176

3.  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

Review 4.  Obstacles in the optimization of bone health outcomes in the female athlete triad.

Authors:  Gaele Ducher; Anne I Turner; Sonja Kukuljan; Kathleen J Pantano; Jennifer L Carlson; Nancy I Williams; Mary Jane De Souza
Journal:  Sports Med       Date:  2011-07-01       Impact factor: 11.136

5.  Comparison between the Klemetti index and heel DXA BMD measurements in the diagnosis of reduced skeletal bone mineral density in the elderly.

Authors:  Anders Halling; G Rutger Persson; Johan Berglund; Owe Johansson; Stefan Renvert
Journal:  Osteoporos Int       Date:  2004-12-17       Impact factor: 4.507

6.  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

Review 7.  Choice of study phenotype in osteoporosis genetic research.

Authors:  Yuan Chen; Hui Shen; Fang Yang; Peng-Yuan Liu; Nelson Tang; Robert R Recker; Hong-Wen Deng
Journal:  J Bone Miner Metab       Date:  2009-02-03       Impact factor: 2.626

8.  Tibial geometry is associated with failure load ex vivo: a MRI, pQCT and DXA study.

Authors:  D Liu; S L Manske; S A Kontulainen; C Tang; P Guy; T R Oxland; H A McKay
Journal:  Osteoporos Int       Date:  2007-02-01       Impact factor: 5.071

Review 9.  New imaging technologies in the diagnosis of osteoporosis.

Authors:  Galateia J Kazakia; Sharmila Majumdar
Journal:  Rev Endocr Metab Disord       Date:  2006-06       Impact factor: 9.306

10.  WNT16 influences bone mineral density, cortical bone thickness, bone strength, and osteoporotic fracture risk.

Authors:  Hou-Feng Zheng; Jon H Tobias; Emma Duncan; David M Evans; Joel Eriksson; Lavinia Paternoster; Laura M Yerges-Armstrong; Terho Lehtimäki; Ulrica Bergström; Mika Kähönen; Paul J Leo; Olli Raitakari; Marika Laaksonen; Geoffrey C Nicholson; Jorma Viikari; Martin Ladouceur; Leo-Pekka Lyytikäinen; Carolina Medina-Gomez; Fernando Rivadeneira; Richard L Prince; Harri Sievanen; William D Leslie; Dan Mellström; John A Eisman; Sofia Movérare-Skrtic; David Goltzman; David A Hanley; Graeme Jones; Beate St Pourcain; Yongjun Xiao; Nicholas J Timpson; George Davey Smith; Ian R Reid; Susan M Ring; Philip N Sambrook; Magnus Karlsson; Elaine M Dennison; John P Kemp; Patrick Danoy; Adrian Sayers; Scott G Wilson; Maria Nethander; Eugene McCloskey; Liesbeth Vandenput; Richard Eastell; Jeff Liu; Tim Spector; Braxton D Mitchell; Elizabeth A Streeten; Robert Brommage; Ulrika Pettersson-Kymmer; Matthew A Brown; Claes Ohlsson; J Brent Richards; Mattias Lorentzon
Journal:  PLoS Genet       Date:  2012-07-05       Impact factor: 5.917

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