Literature DB >> 22106931

A comparison between micro-CT and histology for the evaluation of cortical bone: effect of polymethylmethacrylate embedding on structural parameters.

F Particelli1, L Mecozzi, A Beraudi, M Montesi, F Baruffaldi, M Viceconti.   

Abstract

Cortical bone microstructure is an important parameter in the evaluation of bone strength. The aim of this study was to validate the characterization of human cortical bone microarchitecture using microcomputed tomography. In order to do this, microcomputed tomography structural measurements were compared with those obtained through histological examination (the gold standard). Moreover, to calculate structural parameters, microcomputed tomography images have to be binarized with the separation between bone and nonbone structures throughout a global thresholding. As the effect of the surrounding medium on the threshold value is not clear, an easy procedure to find the global uniform threshold for a given acquisition condition is applied. This work also compared the structural parameters of microcomputed tomography cortical sample scan in air or embedded in polymethylmethacrylate; histology was used as a reference. For each acquisition condition, a fixed threshold value was found and was applied on the corresponding microcomputed tomography image for the parameters assessment. Twenty cortical bone samples were collected from human femur and tibia diaphyses. All samples were microcomputed tomography scanned in air, embedded in polymethylmethacrylate, rescanned by microcomputed tomography, examined by histology and finally compared. A good correspondence between the microcomputed tomography images and the histological sections was found. Paired comparisons in cortical porosity, Haversian canal diameter and Haversian canal separation between histological sections and microcomputed tomography cross sections, first in air and then embedded in PolyMethylMethAcrylate, were made: no significant differences were found. None of the comparisons showed significant differences for cortical porosity, Haversian canal diameter and Haversian separation over a three-dimensional volume of interest, between microcomputed tomography scans in air and with samples embedded in PolyMethylMethAcrylate. The very good correlation between bone structural measures obtained from microcomputed tomography datasets and from two-dimensional histological sections confirms that microcomputed tomography may be an efficient tool for the characterization of cortical bone microstructure. Moreover, when the corresponding threshold value for each condition is used, structural parameters determined by microcomputed tomography are not affected by the surrounding medium (PolyMethylMethAcrylate).
© 2011 The Authors Journal of Microscopy © 2011 Royal Microscopical Society.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 22106931     DOI: 10.1111/j.1365-2818.2011.03573.x

Source DB:  PubMed          Journal:  J Microsc        ISSN: 0022-2720            Impact factor:   1.758


  13 in total

1.  The use of nano-computed tomography to enhance musculoskeletal research.

Authors:  Basma M Khoury; Erin M R Bigelow; Lauren M Smith; Stephen H Schlecht; Erica L Scheller; Nelly Andarawis-Puri; Karl J Jepsen
Journal:  Connect Tissue Res       Date:  2015-02-03       Impact factor: 3.417

2.  Haversian system of compact bone and comparison between endosteal and periosteal sides using three-dimensional reconstruction in rat.

Authors:  Jeong-Nam Kim; Jun-Young Lee; Kang-Jae Shin; Young-Chul Gil; Ki-Seok Koh; Wu-Chul Song
Journal:  Anat Cell Biol       Date:  2015-12-21

3.  Cone-beam computed tomography and microtomography for alveolar bone measurements.

Authors:  Nathália Ferrare; André Ferreira Leite; Hugo César Pinto Marques Caracas; Ricardo Bentes de Azevedo; Nilce Santos de Melo; Paulo Tadeu de Souza Figueiredo
Journal:  Surg Radiol Anat       Date:  2013-02-12       Impact factor: 1.246

4.  Identification of a vibration regime favorable for bone healing and muscle in estrogen-deficient rats.

Authors:  Marina Komrakova; Stephan Sehmisch; Mohammad Tezval; Jan Ammon; Peggy Lieberwirth; Cordula Sauerhoff; Lukas Trautmann; Michael Wicke; Christian Dullin; Klaus M Stuermer; Ewa K Stuermer
Journal:  Calcif Tissue Int       Date:  2013-02-17       Impact factor: 4.333

5.  Elevated Levels of Peripheral Kynurenine Decrease Bone Strength in Rats with Chronic Kidney Disease.

Authors:  Bartlomiej Kalaska; Krystyna Pawlak; Tomasz Domaniewski; Ewa Oksztulska-Kolanek; Beata Znorko; Alicja Roszczenko; Joanna Rogalska; Malgorzata M Brzoska; Pawel Lipowicz; Michal Doroszko; Anna Pryczynicz; Dariusz Pawlak
Journal:  Front Physiol       Date:  2017-10-31       Impact factor: 4.566

6.  Assessing agreement between preclinical magnetic resonance imaging and histology: An evaluation of their image qualities and quantitative results.

Authors:  Cindy Elschner; Paula Korn; Maria Hauptstock; Matthias C Schulz; Ursula Range; Diana Jünger; Ulrich Scheler
Journal:  PLoS One       Date:  2017-06-30       Impact factor: 3.240

7.  Accuracy and reproducibility of mouse cortical bone microporosity as quantified by desktop microcomputed tomography.

Authors:  Haniyeh Hemmatian; Michaël R Laurent; Samaneh Ghazanfari; Dirk Vanderschueren; Astrid D Bakker; Jenneke Klein-Nulend; G Harry van Lenthe
Journal:  PLoS One       Date:  2017-08-10       Impact factor: 3.240

8.  Bone biomechanical properties and tissue-scale bone quality in a genetic mouse model of familial dysautonomia.

Authors:  G Vahidi; H Flook; V Sherk; M Mergy; F Lefcort; C M Heveran
Journal:  Osteoporos Int       Date:  2021-05-25       Impact factor: 4.507

9.  Interpreting pathologies in extant and extinct archosaurs using micro-CT.

Authors:  Jennifer Anné; Russell J Garwood; Tristan Lowe; Philip J Withers; Phillip L Manning
Journal:  PeerJ       Date:  2015-07-28       Impact factor: 2.984

10.  Cortical Bone Morphological and Trabecular Bone Microarchitectural Changes in the Mandible and Femoral Neck of Ovariectomized Rats.

Authors:  Pei-Yu Hsu; Ming-Tzu Tsai; Shun-Ping Wang; Ying-Ju Chen; Jay Wu; Jui-Ting Hsu
Journal:  PLoS One       Date:  2016-04-29       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.