Literature DB >> 21063738

Reproducibility and agreement of micro-CT and histomorphometry in human trabecular bone with different metabolic status.

Inari S Tamminen1, Hanna Isaksson, Antti S Aula, Eero Honkanen, Jukka S Jurvelin, Heikki Kröger.   

Abstract

The use of micro-computed tomography (micro-CT) to study bone microstructure is continuously increasing. Thus, it is important to ensure that micro-CT can differentiate healthy and pathological bone. This study aimed to determine whether the reproducibility of bone histomorphometry and micro-CT, and agreement between the techniques, vary in bone samples with different metabolic status. Iliac crest biopsies (n = 36) were obtained from healthy subjects (n = 10) and from patients with osteoporosis (OP) (n = 15) or renal osteodystrophy (ROD) (n = 11). Micro-CT and histomorphometry analyses were repeated twice. Results were analyzed in separate groups and after pooling the data. Bone histomorphometry detected generally known differences between the diseases, whereas micro-CT did not detect differences between normal and ROD samples as effectively. Repeated measurements for BV/TV, Tb.Th, Tb.N, and Tb.Sp exhibited linear correlation coefficients (ρ) of 0.87-0.92 [coefficients of variations (CV), 8.3-27.2%] for histomorphometry and of 0.66-0.94 (CV, 4.4-23.4%) for micro-CT. There were no significant differences in reproducibility among samples from different study groups. Correlations between BV/TV (micro-CT) and mineralized bone volume (Md.V/TV, histomorphometry) were weaker than between BV/TV (micro-CT) and BV/TV (histomorphometry). When comparing the techniques, BV/TV, Tb.Th, and Tb.N displayed moderate correlations (ρ = 0.39-0.62, P < 0.05), and the agreement for BV/TV was highest in OP samples. The agreement between the techniques using clinical bone samples was moderate. Especially, micro-CT was less effective than bone histomorphometry in differentiating ROD from normal samples. The reproducibility was not affected by the health status of bone. Histomorphometry is still needed in clinical practice to study the remodeling balance in bone, and the methods are complementary.

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Year:  2010        PMID: 21063738     DOI: 10.1007/s00774-010-0236-6

Source DB:  PubMed          Journal:  J Bone Miner Metab        ISSN: 0914-8779            Impact factor:   2.626


  24 in total

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Authors:  Christine Chappard; Arnaud Marchadier; Laurent Benhamou
Journal:  J Bone Miner Metab       Date:  2008-08-30       Impact factor: 2.626

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Journal:  Bone Miner       Date:  1986-09

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Journal:  J Bone Miner Res       Date:  1987-12       Impact factor: 6.741

5.  Trabecular architecture in iliac crest bone biopsies: infra-individual variability in structural parameters and changes with age.

Authors:  M V Parisien; D McMahon; N Pushparaj; D W Dempster
Journal:  Bone       Date:  1988       Impact factor: 4.398

6.  Stereological measures of trabecular bone structure: comparison of 3D micro computed tomography with 2D histological sections in human proximal tibial bone biopsies.

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Authors:  D W Dempster; F Cosman; E S Kurland; H Zhou; J Nieves; L Woelfert; E Shane; K Plavetić; R Müller; J Bilezikian; R Lindsay
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Authors:  M Ito; T Nakamura; T Matsumoto; K Tsurusaki; K Hayashi
Journal:  Bone       Date:  1998-08       Impact factor: 4.398

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Journal:  Bone       Date:  2004-04       Impact factor: 4.398

10.  Bone histomorphometric reproducibility in normal patients.

Authors:  M C de Vernejoul; D Kuntz; L Miravet; D Goutallier; A Ryckewaert
Journal:  Calcif Tissue Int       Date:  1981       Impact factor: 4.333

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  12 in total

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Journal:  J Bone Miner Res       Date:  2015-12-24       Impact factor: 6.741

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Authors:  Amy C Beresheim; Susan Pfeiffer; Marc Grynpas
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9.  Complex Odontoma: A Case Report with Micro-Computed Tomography Findings.

Authors:  L A N Santos; L J Lopes; G D Roque-Torres; V F Oliveira; D Q Freitas
Journal:  Case Rep Dent       Date:  2016-05-17

10.  Section Plane Effects on Morphometric Values of Microcomputed Tomography.

Authors:  Young-Seok Park
Journal:  Biomed Res Int       Date:  2019-01-17       Impact factor: 3.411

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