Title |
Mapping iron in human heart tissue with synchrotron x-ray fluorescence microscopy and cardiovascular magnetic resonance
|
---|---|
Published in |
Critical Reviews in Diagnostic Imaging, September 2014
|
DOI | 10.1186/s12968-014-0080-2 |
Pubmed ID | |
Authors |
Michael J House, Adam J Fleming, Martin D de Jonge, David Paterson, Daryl L Howard, John-Paul Carpenter, Dudley J Pennell, Tim G St Pierre |
Abstract |
MRI assessment of cardiac iron is particularly important for assessing transfusion-dependent anaemia patients. However, comparing the iron distribution from histology or bulk samples to MRI is not ideal. Non-destructive, high-resolution imaging of post-mortem samples offers the ability to examine iron distributions across large samples at resolutions closer to those used in MRI. The aim of this ex vivo case study was to compare synchrotron X-ray fluorescence microscopy (XFM) elemental iron maps with magnetic resonance transverse relaxation rate maps of cardiac tissue samples from an iron-loaded patient. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 27% |
Thailand | 1 | 9% |
Brazil | 1 | 9% |
Australia | 1 | 9% |
Saudi Arabia | 1 | 9% |
United Kingdom | 1 | 9% |
Unknown | 3 | 27% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 7 | 64% |
Scientists | 3 | 27% |
Science communicators (journalists, bloggers, editors) | 1 | 9% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 22 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 8 | 36% |
Researcher | 3 | 14% |
Other | 2 | 9% |
Student > Master | 2 | 9% |
Student > Bachelor | 1 | 5% |
Other | 4 | 18% |
Unknown | 2 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 8 | 36% |
Engineering | 2 | 9% |
Physics and Astronomy | 2 | 9% |
Biochemistry, Genetics and Molecular Biology | 1 | 5% |
Nursing and Health Professions | 1 | 5% |
Other | 3 | 14% |
Unknown | 5 | 23% |