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Imaging technologies for preclinical models of bone and joint disorders

Overview of attention for article published in EJNMMI Research, July 2011
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Title
Imaging technologies for preclinical models of bone and joint disorders
Published in
EJNMMI Research, July 2011
DOI 10.1186/2191-219x-1-11
Pubmed ID
Authors

Jordi L Tremoleda, Magdy Khalil, Luke L Gompels, Marzena Wylezinska-Arridge, Tonia Vincent, Willy Gsell

Abstract

Preclinical models for musculoskeletal disorders are critical for understanding the pathogenesis of bone and joint disorders in humans and the development of effective therapies. The assessment of these models primarily relies on morphological analysis which remains time consuming and costly, requiring large numbers of animals to be tested through different stages of the disease. The implementation of preclinical imaging represents a keystone in the refinement of animal models allowing longitudinal studies and enabling a powerful, non-invasive and clinically translatable way for monitoring disease progression in real time. Our aim is to highlight examples that demonstrate the advantages and limitations of different imaging modalities including magnetic resonance imaging (MRI), computed tomography (CT), positron emission tomography (PET), single-photon emission computed tomography (SPECT) and optical imaging. All of which are in current use in preclinical skeletal research. MRI can provide high resolution of soft tissue structures, but imaging requires comparatively long acquisition times; hence, animals require long-term anaesthesia. CT is extensively used in bone and joint disorders providing excellent spatial resolution and good contrast for bone imaging. Despite its excellent structural assessment of mineralized structures, CT does not provide in vivo functional information of ongoing biological processes. Nuclear medicine is a very promising tool for investigating functional and molecular processes in vivo with new tracers becoming available as biomarkers. The combined use of imaging modalities also holds significant potential for the assessment of disease pathogenesis in animal models of musculoskeletal disorders, minimising the use of conventional invasive methods and animal redundancy.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 109 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 <1%
Germany 1 <1%
Unknown 107 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 27%
Student > Master 16 15%
Researcher 15 14%
Student > Doctoral Student 12 11%
Student > Bachelor 7 6%
Other 14 13%
Unknown 16 15%
Readers by discipline Count As %
Medicine and Dentistry 20 18%
Agricultural and Biological Sciences 17 16%
Engineering 14 13%
Biochemistry, Genetics and Molecular Biology 11 10%
Physics and Astronomy 7 6%
Other 16 15%
Unknown 24 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 January 2012.
All research outputs
#22,759,452
of 25,374,647 outputs
Outputs from EJNMMI Research
#442
of 612 outputs
Outputs of similar age
#120,078
of 130,069 outputs
Outputs of similar age from EJNMMI Research
#3
of 5 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 612 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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