| Title |
[18F]DPA-714: Direct Comparison with [11C]PK11195 in a Model of Cerebral Ischemia in Rats
|
|---|---|
| Published in |
PLOS ONE, February 2013
|
| DOI | 10.1371/journal.pone.0056441 |
| Pubmed ID | |
| Authors |
Hervé Boutin, Christian Prenant, Renaud Maroy, James Galea, Andrew D. Greenhalgh, Alison Smigova, Christopher Cawthorne, Peter Julyan, Shane M. Wilkinson, Samuel D. Banister, Gavin Brown, Karl Herholz, Michael Kassiou, Nancy J. Rothwell |
| Abstract |
Neuroinflammation is involved in several brain disorders and can be monitored through expression of the translocator protein 18 kDa (TSPO) on activated microglia. In recent years, several new PET radioligands for TSPO have been evaluated in disease models. [(18)F]DPA-714 is a TSPO radiotracer with great promise; however results vary between different experimental models of neuroinflammation. To further examine the potential of [(18)F]DPA-714, it was compared directly to [(11)C]PK11195 in experimental cerebral ischaemia in rats. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 3% |
| Japan | 1 | 1% |
| Netherlands | 1 | 1% |
| Brazil | 1 | 1% |
| Unknown | 67 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 29% |
| Researcher | 14 | 19% |
| Student > Master | 7 | 10% |
| Student > Doctoral Student | 4 | 6% |
| Professor | 4 | 6% |
| Other | 16 | 22% |
| Unknown | 6 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 25 | 35% |
| Neuroscience | 11 | 15% |
| Agricultural and Biological Sciences | 8 | 11% |
| Chemistry | 7 | 10% |
| Immunology and Microbiology | 2 | 3% |
| Other | 7 | 10% |
| Unknown | 12 | 17% |