| Title |
A Novel Plasma-Based Fluid for Particle Image Velocimetry (PIV): In-Vitro Feasibility Study of Flow Diverter Effects in Aneurysm Model
|
|---|---|
| Published in |
Annals of Biomedical Engineering, February 2018
|
| DOI | 10.1007/s10439-018-2002-1 |
| Pubmed ID | |
| Authors |
Johanna Clauser, Marius S. Knieps, Martin Büsen, Andreas Ding, Thomas Schmitz-Rode, Ulrich Steinseifer, Jutta Arens, Giorgio Cattaneo |
| Abstract |
Particle image velocimetry (PIV) is a commonly used method for in vitro investigation of fluid dynamics in biomedical devices, such as flow diverters for intracranial aneurysm treatment. Since it is limited to transparent blood substituting fluids like water-glycerol mixture, the influence of coagulation and platelet aggregation is neglected. We aimed at the development and the application of a modified platelet rich plasma as a new PIV fluid with blood-like rheological and coagulation properties. In standardized intracranial aneurysm silicone models, the effect of this new PIV plasma on the fluid dynamics before and after flow diverter implantation was evaluated and compared with water-glycerol measurements. The flow diverting effect was strongly dependent on the used fluid, with considerably lower velocities achieved using PIV plasma, despite the same starting viscosity of both fluids. Moreover, triggering coagulation of PIV plasma allowed for intra-aneurysmal clot formation. We presented the first in vitro PIV investigation using a non-Newtonian, clottable PIV plasma, demonstrating a mismatch to a standard PIV fluid and allowing for thrombus formation. |
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 38 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 26% |
| Professor > Associate Professor | 4 | 11% |
| Student > Doctoral Student | 3 | 8% |
| Student > Ph. D. Student | 3 | 8% |
| Student > Bachelor | 2 | 5% |
| Other | 3 | 8% |
| Unknown | 13 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 18 | 47% |
| Materials Science | 2 | 5% |
| Medicine and Dentistry | 1 | 3% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Neuroscience | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 15 | 39% |