| Title |
Prehospital stroke diagnostics based on neurological examination and transcranial ultrasound
|
|---|---|
| Published in |
The Ultrasound Journal, February 2014
|
| DOI | 10.1186/2036-7902-6-3 |
| Pubmed ID | |
| Authors |
Moriz Herzberg, Sandra Boy, Thilo Hölscher, Michael Ertl, Markus Zimmermann, Karl-Peter Ittner, Josef Pemmerl, Hendrik Pels, Ulrich Bogdahn, Felix Schlachetzki |
| Abstract |
Transcranial color-coded sonography (TCCS) has proved to be a fast and reliable tool for the detection of middle cerebral artery (MCA) occlusions in a hospital setting. In this feasibility study on prehospital sonography, our aim was to investigate the accuracy of TCCS for neurovascular emergency diagnostics when performed in a prehospital setting using mobile ultrasound equipment as part of a neurological examination. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 17% |
| Unknown | 5 | 83% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Scientists | 1 | 17% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| Switzerland | 1 | <1% |
| South Africa | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 119 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 19 | 15% |
| Researcher | 18 | 15% |
| Student > Master | 12 | 10% |
| Student > Ph. D. Student | 10 | 8% |
| Other | 9 | 7% |
| Other | 29 | 23% |
| Unknown | 27 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 52 | 42% |
| Nursing and Health Professions | 14 | 11% |
| Engineering | 4 | 3% |
| Arts and Humanities | 3 | 2% |
| Neuroscience | 3 | 2% |
| Other | 13 | 10% |
| Unknown | 35 | 28% |