Literature DB >> 11165955

Predictive value of bone mineral density and morphology determined by peripheral quantitative computed tomography for cancellous bone strength of the proximal femur.

N J Wachter1, P Augat, M Mentzel, M R Sarkar, G D Krischak, L Kinzl, L E Claes.   

Abstract

Peripheral quantitative computed tomography (pQCT) is an established diagnostic method for assessment of bone mineral density in the diagnosis of osteoporosis. However, the capacity of structural parameters of cancellous bone measured by high-resolution computed tomography remains to be explored. In 33 patients, bone mineral density (BMD) of the proximal femur was measured in vitro by pQCT using cylindrical biopsies from the intertrochanteric region harvested before the implantation of an artificial hip joint. By digital image analysis of CT scans, parameters derived from histomorphometry describing the microarchitecture of cancellous bone were measured. The biopsies were also loaded to failure by an uniaxial compression test to determine the biomechanical parameters, Young's modulus, strength, and maximum energy absorption (E(max)). Strong correlations were found for BMD vs. mechanical parameters (r = 0.73 for Young's modulus, r = 0.82 for strength, and r = 0.79 for E(max); p < 0.001, n = 29). The morphological parameters, bone volume per trabecular volume (BV/TV), apparent trabecular thickness (app.Tb.Th), apparent trabecular separation (app.Tb.Sp), and trabecular number (Tb.N), correlated significantly with all mechanical parameters. The combination of morphological parameters with BMD in a multivariate regression model led to an overall, but only moderate, increase in R(2) in all cases. Our data confirm the high predictive value of BMD for the mechanical competence of cancellous bone of the intertrochanteric region. However, quantification of cancellous bone structure by image analysis of CT scans may provide additional qualitative information for the analysis of bone strength.

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Year:  2001        PMID: 11165955     DOI: 10.1016/s8756-3282(00)00455-5

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


  10 in total

1.  Use of quantitative ultrasound of the hand phalanges in the diagnosis of two different osteoporotic syndromes: Cushing's syndrome and postmenopausal osteoporosis.

Authors:  V Camozzi; V Carraro; M Zangari; F Fallo; F Mantero; G Luisetto
Journal:  J Endocrinol Invest       Date:  2004-06       Impact factor: 4.256

2.  [Reimbursement. Case report: Medical implication as precondition for reimbursement by German health insurance on the example of HRpQCT diagnosis of osteoporosis].

Authors:  S Weber-Endress; R Nothaas
Journal:  Unfallchirurg       Date:  2011-10       Impact factor: 1.000

3.  Mechanical and microarchitectural analyses of cancellous bone through experiment and computer simulation.

Authors:  Ardiyansyah Syahrom; Mohammed Rafiq Abdul Kadir; Jaafar Abdullah; Andreas Öchsner
Journal:  Med Biol Eng Comput       Date:  2011-09-24       Impact factor: 2.602

4.  Basic fibroblast growth factor improves trabecular bone connectivity and bone strength in the lumbar vertebral body of osteopenic rats.

Authors:  Wei Yao; Tamer Hadi; Yebin Jiang; Jeff Lotz; Thomas J Wronski; Nancy E Lane
Journal:  Osteoporos Int       Date:  2005-08-05       Impact factor: 4.507

5.  Changes in vertebral strength-density and energy absorption-density relationships following bisphosphonate treatment in beagle dogs.

Authors:  M R Allen; D B Burr
Journal:  Osteoporos Int       Date:  2007-08-21       Impact factor: 4.507

6.  Automated 3D trabecular bone structure analysis of the proximal femur--prediction of biomechanical strength by CT and DXA.

Authors:  T Baum; J Carballido-Gamio; M B Huber; D Müller; R Monetti; C Räth; F Eckstein; E M Lochmüller; S Majumdar; E J Rummeny; T M Link; J S Bauer
Journal:  Osteoporos Int       Date:  2009-10-27       Impact factor: 4.507

7.  Transplantation of mesenchymal stem cells from young donors delays aging in mice.

Authors:  Jinhui Shen; Yi-Ting Tsai; Nancy M Dimarco; Michael A Long; Xiankai Sun; Liping Tang
Journal:  Sci Rep       Date:  2011-08-18       Impact factor: 4.379

8.  Standardizing compression testing for measuring the stiffness of human bone.

Authors:  S Zhao; M Arnold; S Ma; R L Abel; J P Cobb; U Hansen; O Boughton
Journal:  Bone Joint Res       Date:  2018-09-15       Impact factor: 5.853

9.  Influence of thermodisinfection on microstructure of human femoral heads: duration of heat exposition and compressive strength.

Authors:  Christian Fölsch; Julian Dharma; Carlos Alfonso Fonseca Ulloa; Katrin Susanne Lips; Markus Rickert; Axel Pruss; Alexander Jahnke
Journal:  Cell Tissue Bank       Date:  2020-04-20       Impact factor: 1.522

10.  Determinants of bone damage: An ex-vivo study on porcine vertebrae.

Authors:  Mohammad J Mirzaali; Flavia Libonati; Davide Ferrario; Luca Rinaudo; Carmelo Messina; Fabio M Ulivieri; Bruno M Cesana; Matteo Strano; Laura Vergani
Journal:  PLoS One       Date:  2018-08-16       Impact factor: 3.240

  10 in total

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