Literature DB >> 28342035

Prediction of cortical bone porosityIn Vitro by microcomputed tomography.

N J Wachter1, P Augat2, G D Krischak1, M Mentzel1, L Kinzl1, L Claes2.   

Abstract

The high importance of intracortical porosity for mechanical strength of cortical bone has been established. The contribution of other parameters of microstructure such as osteon dimensions for strength is in discussion. The aim of this study was to evaluate the predictive value of microcomputed tomography (µCT) for porosity and other microstructural parameters of cortical bone in cortical bone biopsies. Femoral cortical bone specimens from the middiaphysis of 24 patients were harvested during the procedure of total hip replacement at the location where normally one hole (Ø 4.5 mm) for the relief of the intramedullary pressure is placed.In vitro intracortical porosity and bone mineral density (BMD) measurements by µCT were compared with structural parameters assessed in histological sections of the same specimens. A strong correlation was found between intracortical porosity measured by µCT and histological porosity (r=0.95,P<0.0001). Porosity measured by µCT was also a strong predictor for other parameters describing dimensions of porous structures. BMD-1 was associated with osteonal area (r=-0.76,P<0.0001). We consider the measurement of porosity by µCT as a very potent procedure for assessing intracortical porosity and parameters related to porous structures of cortical bone nondestructivelyin vitro.

Entities:  

Keywords:  Bone mineral density; Cortical bone; Microcomputed tomography; Microstructure; Porosity

Year:  2017        PMID: 28342035     DOI: 10.1007/BF02685001

Source DB:  PubMed          Journal:  Calcif Tissue Int        ISSN: 0171-967X            Impact factor:   4.333


  3 in total

1.  3D characterization of pores in the cortical bone of human femur in the elderly at different locations as determined by synchrotron micro-computed tomography images.

Authors:  C Chappard; S Bensalah; C Olivier; P J Gouttenoire; A Marchadier; C Benhamou; F Peyrin
Journal:  Osteoporos Int       Date:  2012-07-20       Impact factor: 4.507

2.  In vivo assessment of bone structure and estimated bone strength by first- and second-generation HR-pQCT.

Authors:  S Agarwal; F Rosete; C Zhang; D J McMahon; X E Guo; E Shane; K K Nishiyama
Journal:  Osteoporos Int       Date:  2016-05-07       Impact factor: 4.507

3.  Reliability of HR-pQCT Derived Cortical Bone Structural Parameters When Using Uncorrected Instead of Corrected Automatically Generated Endocortical Contours in a Cross-Sectional Study: The Maastricht Study.

Authors:  Ellis A C de Waard; Cindy Sarodnik; Alexander Pennings; Joost J A de Jong; Hans H C M Savelberg; Tineke A van Geel; Carla J van der Kallen; Coen D A Stehouwer; Miranda T Schram; Nicolaas Schaper; Pieter C Dagnelie; Piet P M M Geusens; Annemarie Koster; Bert van Rietbergen; Joop P W van den Bergh
Journal:  Calcif Tissue Int       Date:  2018-03-29       Impact factor: 4.333

  3 in total

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