Literature DB >> 19027092

Non-invasive bone competence analysis by high-resolution pQCT: an in vitro reproducibility study on structural and mechanical properties at the human radius.

Thomas L Mueller1, Martin Stauber, Thomas Kohler, Felix Eckstein, Ralph Müller, G Harry van Lenthe.   

Abstract

Osteoporosis is defined as a skeletal disorder characterized by compromised bone strength. Bone strength depends, among others, on bone density, bone geometry and its internal architecture. With the recent introduction of a new generation high-resolution 3D peripheral quantitative computed tomography (HR-pQCT) system, direct quantification of structural bone parameters has become feasible. Furthermore, it has recently been demonstrated that bone mechanical competence can be derived from HR-pQCT based micro-finite element modeling (microFE). However, reproducibility data for HR-pQCT-derived mechanical indices is not well-known. Therefore, the aim of this study was to quantify reproducibility of HR-pQCT-derived indices. We measured 14 distal formalin-fixed cadaveric forearms three times and analyzed three different regions for each measurement. For each region cortical and trabecular parameters were determined. Reproducibility was assessed with respect to precision error (PE) and intraclass correlation coefficient (ICC). Reproducibility values were found to be best in all three regions for the full bone compartment with an average PE of 0.79%, followed by the cortical compartment (PE=1.19%) and the trabecular compartment with an average PE of 2.31%. The mechanical parameters showed similar reproducibility (PE=0.48%-2.93% for bone strength and stiffness, respectively). ICC showed a very high reproducibility of subject-specific measurements, ranging from 0.982 to 1.000, allowing secure identification of individual donors ranging from healthy to severely osteoporotic subjects. From these in vitro results we conclude that HR-pQCT derived morphometric and mechanical parameters are highly reproducible such that differences in bone structure and strength can be detected with a reproducibility error smaller than 3%; hence, the technique has a high potential to become a tool for detecting bone quality and bone competence of individual subjects.

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Year:  2008        PMID: 19027092     DOI: 10.1016/j.bone.2008.10.045

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


  32 in total

1.  Short-term in vivo precision of BMD and parameters of trabecular architecture at the distal forearm and tibia.

Authors:  K Engelke; B Stampa; W Timm; B Dardzinski; A E de Papp; H K Genant; T Fuerst
Journal:  Osteoporos Int       Date:  2011-12-06       Impact factor: 4.507

2.  Radiological diagnostic progress in skeletal diseases.

Authors:  Giuseppe Guglielmi; Michelangelo Nasuto; Michele La Porta
Journal:  Clin Cases Miner Bone Metab       Date:  2011-01

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.  Quantitative characterization of subject motion in HR-pQCT images of the distal radius and tibia.

Authors:  Miki Sode; Andrew J Burghardt; Jean-Baptiste Pialat; Thomas M Link; Sharmila Majumdar
Journal:  Bone       Date:  2011-03-21       Impact factor: 4.398

5.  Local bone enhancement fuzzy clustering for segmentation of MR trabecular bone images.

Authors:  Jenny Folkesson; Julio Carballido-Gamio; Felix Eckstein; Thomas M Link; Sharmila Majumdar
Journal:  Med Phys       Date:  2010-01       Impact factor: 4.071

6.  Structural parameters of normal and osteoporotic human trabecular bone are affected differently by microCT image resolution.

Authors:  H Isaksson; J Töyräs; M Hakulinen; A S Aula; I Tamminen; P Julkunen; H Kröger; J S Jurvelin
Journal:  Osteoporos Int       Date:  2010-03-27       Impact factor: 4.507

7.  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

8.  Multicenter precision of cortical and trabecular bone quality measures assessed by high-resolution peripheral quantitative computed tomography.

Authors:  Andrew J Burghardt; Jean-Baptiste Pialat; Galateia J Kazakia; Stephanie Boutroy; Klaus Engelke; Janina M Patsch; Alexander Valentinitsch; Danmei Liu; Eva Szabo; Cesar E Bogado; Maria Belen Zanchetta; Heather A McKay; Elizabeth Shane; Steven K Boyd; Mary L Bouxsein; Roland Chapurlat; Sundeep Khosla; Sharmila Majumdar
Journal:  J Bone Miner Res       Date:  2013-03       Impact factor: 6.741

9.  Patient-specific bone modelling and remodelling simulation of hypoparathyroidism based on human iliac crest biopsies.

Authors:  Patrik Christen; Keita Ito; Ralph Müller; Mishaela R Rubin; David W Dempster; John P Bilezikian; Bert van Rietbergen
Journal:  J Biomech       Date:  2012-08-09       Impact factor: 2.712

10.  Improved fracture risk assessment based on nonlinear micro-finite element simulations from HRpQCT images at the distal radius.

Authors:  David Christen; L Joseph Melton; Alexander Zwahlen; Shreyasee Amin; Sundeep Khosla; Ralph Müller
Journal:  J Bone Miner Res       Date:  2013-12       Impact factor: 6.741

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