Title |
Ultrahigh field MRI in clinical neuroimmunology: a potential contribution to improved diagnostics and personalised disease management
|
---|---|
Published in |
EPMA Journal, August 2015
|
DOI | 10.1186/s13167-015-0038-y |
Pubmed ID | |
Authors |
Tim Sinnecker, Joseph Kuchling, Petr Dusek, Jan Dörr, Thoralf Niendorf, Friedemann Paul, Jens Wuerfel |
Abstract |
Conventional magnetic resonance imaging (MRI) at 1.5 Tesla (T) is limited by modest spatial resolution and signal-to-noise ratio (SNR), impeding the identification and classification of inflammatory central nervous system changes in current clinical practice. Gaining from enhanced susceptibility effects and improved SNR, ultrahigh field MRI at 7 T depicts inflammatory brain lesions in great detail. This review summarises recent reports on 7 T MRI in neuroinflammatory diseases and addresses the question as to whether ultrahigh field MRI may eventually improve clinical decision-making and personalised disease management. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 50% |
Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 2% |
Netherlands | 1 | 2% |
Unknown | 58 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 12 | 20% |
Student > Ph. D. Student | 9 | 15% |
Student > Master | 6 | 10% |
Student > Bachelor | 5 | 8% |
Professor > Associate Professor | 3 | 5% |
Other | 11 | 18% |
Unknown | 14 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 22 | 37% |
Neuroscience | 11 | 18% |
Psychology | 3 | 5% |
Business, Management and Accounting | 2 | 3% |
Immunology and Microbiology | 1 | 2% |
Other | 6 | 10% |
Unknown | 15 | 25% |