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Title: Longitudinal imaging of the ageing mouse
Authors: Dall'Ara, Enrico 
Boudiffa, Maya 
Taylor, Caroline Rix 
Schug, David 
Fiegle, E. 
Kennerley, Aneurin James 
Damianou, Christakis A. 
Tozer, Gillian M. 
Kiessling, Fabian M. 
Müller, Ralph P. 
Keywords: Ageing;Imaging;In vivo;Longitudinal;Mouse
Category: Electrical Engineering - Electronic Engineering - Information Engineering
Field: Engineering and Technology
Issue Date: 1-Dec-2016
Publisher: Elsevier Ireland Ltd
Source: Mechanisms of Ageing and Development, 2016, vol. 160, pp. 93-116
Journal: Mechanisms of Ageing and Development 
Abstract: Several non-invasive imaging techniques are used to investigate the effect of pathologies and treatments over time in mouse models. Each preclinical in vivo technique provides longitudinal and quantitative measurements of changes in tissues and organs, which are fundamental for the evaluation of alterations in phenotype due to pathologies, interventions and treatments. However, it is still unclear how these imaging modalities can be used to study ageing with mice models. Almost all age related pathologies in mice such as osteoporosis, arthritis, diabetes, cancer, thrombi, dementia, to name a few, can be imaged in vivo by at least one longitudinal imaging modality. These measurements are the basis for quantification of treatment effects in the development phase of a novel treatment prior to its clinical testing. Furthermore, the non-invasive nature of such investigations allows the assessment of different tissue and organ phenotypes in the same animal and over time, providing the opportunity to study the dysfunction of multiple tissues associated with the ageing process. This review paper aims to provide an overview of the applications of the most commonly used in vivo imaging modalities used in mouse studies: micro-computed-tomography, preclinical magnetic-resonance-imaging, preclinical positron-emission-tomography, preclinical single photon emission computed tomography, ultrasound, intravital microscopy, and whole body optical imaging.
ISSN: 0047-6374
DOI: 10.1016/j.mad.2016.08.001
Rights: © 2016 The Authors
Type: Article
Appears in Collections:Άρθρα/Articles

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