Literature DB >> 27262181

Development of a protocol to quantify local bone adaptation over space and time: Quantification of reproducibility.

Yongtao Lu1, Maya Boudiffa2, Enrico Dall'Ara2, Ilaria Bellantuono2, Marco Viceconti3.   

Abstract

In vivo micro-computed tomography (µCT) scanning of small rodents is a powerful method for longitudinal monitoring of bone adaptation. However, the life-time bone growth in small rodents makes it a challenge to quantify local bone adaptation. Therefore, the aim of this study was to develop a protocol, which can take into account large bone growth, to quantify local bone adaptations over space and time. The entire right tibiae of eight 14-week-old C57BL/6J female mice were consecutively scanned four times in an in vivo µCT scanner using a nominal isotropic image voxel size of 10.4µm. The repeated scan image datasets were aligned to the corresponding baseline (first) scan image dataset using rigid registration. 80% of tibia length (starting from the endpoint of the proximal growth plate) was selected as the volume of interest and partitioned into 40 regions along the tibial long axis (10 divisions) and in the cross-section (4 sectors). The bone mineral content (BMC) was used to quantify bone adaptation and was calculated in each region. All local BMCs have precision errors (PE%CV) of less than 3.5% (24 out of 40 regions have PE%CV of less than 2%), least significant changes (LSCs) of less than 3.8%, and 38 out of 40 regions have intraclass correlation coefficients (ICCs) of over 0.8. The proposed protocol allows to quantify local bone adaptations over an entire tibia in longitudinal studies, with a high reproducibility, an essential requirement to reduce the number of animals to achieve the necessary statistical power.
Copyright © 2016 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  In vivo micro-CT; Local bone adaptation; Mouse tibia; Space and time

Mesh:

Year:  2016        PMID: 27262181     DOI: 10.1016/j.jbiomech.2016.05.022

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  11 in total

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Authors:  Patrik Christen; Ralph Müller
Journal:  Curr Osteoporos Rep       Date:  2017-08       Impact factor: 5.096

2.  Reproducibility and Radiation Effect of High-Resolution In Vivo Micro Computed Tomography Imaging of the Mouse Lumbar Vertebra and Long Bone.

Authors:  Hongbo Zhao; Chih-Chiang Chang; Yang Liu; Youwen Yang; Wei-Ju Tseng; Chantal M de Bakker; Rebecca Chung; Priyanka Ghosh; Linhong Deng; X Sherry Liu
Journal:  Ann Biomed Eng       Date:  2019-07-29       Impact factor: 3.934

3.  Impaired bone formation in ovariectomized mice reduces implant integration as indicated by longitudinal in vivo micro-computed tomography.

Authors:  Zihui Li; Gisela Kuhn; Michael Schirmer; Ralph Müller; Davide Ruffoni
Journal:  PLoS One       Date:  2017-09-14       Impact factor: 3.240

4.  PTH(1-34) treatment and/or mechanical loading have different osteogenic effects on the trabecular and cortical bone in the ovariectomized C57BL/6 mouse.

Authors:  Bryant C Roberts; Hector M Arredondo Carrera; Sahand Zanjani-Pour; Maya Boudiffa; Ning Wang; Alison Gartland; Enrico Dall'Ara
Journal:  Sci Rep       Date:  2020-06-01       Impact factor: 4.379

5.  A new method to monitor bone geometry changes at different spatial scales in the longitudinal in vivo μCT studies of mice bones.

Authors:  Yang Zhang; Enrico Dall'Ara; Marco Viceconti; Visakan Kadirkamanathan
Journal:  PLoS One       Date:  2019-07-22       Impact factor: 3.240

6.  Reproducibility of Densitometric and Biomechanical Assessment of the Mouse Tibia From In Vivo Micro-CT Images.

Authors:  Sara Oliviero; Vee San Cheong; Bryant C Roberts; Carlos Amnael Orozco Diaz; William Griffiths; Ilaria Bellantuono; Enrico Dall'Ara
Journal:  Front Endocrinol (Lausanne)       Date:  2022-06-30       Impact factor: 6.055

7.  Cortical Thickness Adaptive Response to Mechanical Loading Depends on Periosteal Position and Varies Linearly With Loading Magnitude.

Authors:  Corey J Miller; Silvia Trichilo; Edmund Pickering; Saulo Martelli; Peter Delisser; Lee B Meakin; Peter Pivonka
Journal:  Front Bioeng Biotechnol       Date:  2021-06-18

8.  The Role of the Loading Condition in Predictions of Bone Adaptation in a Mouse Tibial Loading Model.

Authors:  Vee San Cheong; Visakan Kadirkamanathan; Enrico Dall'Ara
Journal:  Front Bioeng Biotechnol       Date:  2021-06-11

9.  A novel algorithm to predict bone changes in the mouse tibia properties under physiological conditions.

Authors:  Vee San Cheong; Ana Campos Marin; Damien Lacroix; Enrico Dall'Ara
Journal:  Biomech Model Mechanobiol       Date:  2019-11-30

10.  Effect of repeated in vivo microCT imaging on the properties of the mouse tibia.

Authors:  Sara Oliviero; Mario Giorgi; Peter J Laud; Enrico Dall'Ara
Journal:  PLoS One       Date:  2019-11-21       Impact factor: 3.240

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