Literature DB >> 17442649

Load distribution and the predictive power of morphological indices in the distal radius and tibia by high resolution peripheral quantitative computed tomography.

Joshua A MacNeil1, Steven K Boyd.   

Abstract

A 3D high resolution peripheral quantitative computed tomography scanner (HR-pQCT) (XtremeCT, Scanco Medical, voxel size 82 microm) has been recently developed that can perform in vivo human measurements on peripheral sites, including the wrist and tibia. The goals of this study were to use HR-pQCT measurements to determine the ability of morphological and density measurements to predict bone apparent stiffness and apparent Young's modulus in the distal radius and tibia, to determine the relative importance of cortical and trabecular bone in carrying load in the human distal radius and tibia. Furthermore, the ability of a sub-volume of trabecular bone apparent Young's modulus to predict the Young's modulus of a whole radius and tibia section was determined. A total of 25 measurements of the radius and 12 measurements of the tibia were used for morphological and finite element analyses of sections, and sub-volume cubes of trabecular bone from the distal radius and tibia. The subjects were chosen to obtain a large variation in age ranges and bone architecture and density. By combining multiple measurements, a strong ability to predict bone apparent stiffness and apparent Young's modulus was found for morphological and density measurements in the radius and tibia (R(2)>0.80). The relative importance of the trabecular and cortical bone in carrying load was also found to vary consistently with location in the sample for both the radius and the tibia. This indicates that measurements of the cortical and trabecular bone are required for assessing fracture risk. A cubic section of trabecular bone was found to be insufficient to accurately represent the apparent bone Young's modulus of a radius or tibia section. Morphological and density measurements of the distal radius and tibia have been shown in this study to predict bone apparent Young's modulus and apparent stiffness, and may indicate when a more time consuming finite element analysis is warranted. It should be noted that these results may be an overestimation of the predictive ability of structural parameters, as the influence of bone density is removed from the finite element analyses, and the results were only influenced by bone structure. A measurement of bone apparent Young's modulus is independent of subject size (as opposed to reaction force), and may provide the ability to distinguish between two patients that have similar mean morphological and density measurements; but different overall structures, and therefore, different fracture risk.

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Year:  2007        PMID: 17442649     DOI: 10.1016/j.bone.2007.02.029

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


  43 in total

1.  Predicting trabecular bone elastic properties from measures of bone volume fraction and fabric on the basis of micromagnetic resonance images.

Authors:  Michael J Wald; Jeremy F Magland; Chamith S Rajapakse; Yusuf A Bhagat; Felix W Wehrli
Journal:  Magn Reson Med       Date:  2011-12-08       Impact factor: 4.668

2.  Structural and mechanical parameters of trabecular bone estimated from in vivo high-resolution magnetic resonance images at 3 tesla field strength.

Authors:  Michael Jeffrey Wald; Jeremy Franklin Magland; Chamith Sudesh Rajapakse; Felix Werner Wehrli
Journal:  J Magn Reson Imaging       Date:  2010-05       Impact factor: 4.813

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.  Role of endocortical contouring methods on precision of HR-pQCT-derived cortical micro-architecture in postmenopausal women and young adults.

Authors:  C E Kawalilak; J D Johnston; D M L Cooper; W P Olszynski; S A Kontulainen
Journal:  Osteoporos Int       Date:  2015-08-08       Impact factor: 4.507

5.  Resolution dependence of the non-metric trabecular structure indices.

Authors:  Miki Sode; Andrew J Burghardt; Robert A Nissenson; Sharmila Majumdar
Journal:  Bone       Date:  2007-12-23       Impact factor: 4.398

6.  Reproducibility and sources of variability in radiographic texture analysis of densitometric calcaneal images.

Authors:  Tamara J Vokes; Ann Pham; Joel Wilkie; Masha Kocherginsky; Siu-Ling Ma; Michael Chinander; Theodore Karrison; Octavia Bris; Maryellen L Giger
Journal:  J Clin Densitom       Date:  2007-12-26       Impact factor: 2.617

7.  Structural analysis of cortical porosity applied to HR-pQCT data.

Authors:  Willy Tjong; Jasmine Nirody; Andrew J Burghardt; Julio Carballido-Gamio; Galateia J Kazakia
Journal:  Med Phys       Date:  2014-01       Impact factor: 4.071

8.  Accuracy of trabecular structure by HR-pQCT compared to gold standard μCT in the radius and tibia of patients with osteoporosis and long-term bisphosphonate therapy.

Authors:  M Krause; O Museyko; S Breer; B Wulff; C Duckstein; E Vettorazzi; C Glueer; K Püschel; K Engelke; M Amling
Journal:  Osteoporos Int       Date:  2014-02-25       Impact factor: 4.507

Review 9.  Bone quality: the determinants of bone strength and fragility.

Authors:  Hélder Fonseca; Daniel Moreira-Gonçalves; Hans-Joachim Appell Coriolano; José Alberto Duarte
Journal:  Sports Med       Date:  2014-01       Impact factor: 11.136

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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