| Title |
Patient-specific simulations of transcatheter aortic valve stent implantation
|
|---|---|
| Published in |
Medical & Biological Engineering & Computing, January 2012
|
| DOI | 10.1007/s11517-012-0864-1 |
| Pubmed ID | |
| Authors |
C. Capelli, G. M. Bosi, E. Cerri, J. Nordmeyer, T. Odenwald, P. Bonhoeffer, F. Migliavacca, A. M. Taylor, S. Schievano |
| Abstract |
Transcatheter aortic valve implantation (TAVI) enables treatment of aortic stenosis with no need for open heart surgery. According to current guidelines, only patients considered at high surgical risk can be treated with TAVI. In this study, patient-specific analyses were performed to explore the feasibility of TAVI in morphologies, which are currently borderline cases for a percutaneous approach. Five patients were recruited: four patients with failed bioprosthetic aortic valves (stenosis) and one patient with an incompetent, native aortic valve. Three-dimensional models of the implantation sites were reconstructed from computed tomography images. Within these realistic geometries, TAVI with an Edwards Sapien stent was simulated using finite element (FE) modelling. Engineering and clinical outcomes were assessed. In all patients, FE analysis proved that TAVI was morphologically feasible. After the implantation, stress distribution showed no risks of immediate device failure and geometric orifice areas increased with low risk of obstruction of the coronary arteries. Maximum principal stresses in the arterial walls were higher in the model with native outflow tract. FE analyses can both refine patient selection and characterise device mechanical performance in TAVI, overall impacting on procedural safety in the early introduction of percutaneous heart valve devices in new patient populations. |
Mendeley readers
The data shown below were compiled from readership statistics for 133 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 2% |
| United Kingdom | 1 | <1% |
| Netherlands | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 127 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 24 | 18% |
| Student > Ph. D. Student | 23 | 17% |
| Student > Master | 22 | 17% |
| Student > Bachelor | 15 | 11% |
| Student > Doctoral Student | 11 | 8% |
| Other | 20 | 15% |
| Unknown | 18 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 57 | 43% |
| Medicine and Dentistry | 32 | 24% |
| Agricultural and Biological Sciences | 7 | 5% |
| Computer Science | 3 | 2% |
| Physics and Astronomy | 3 | 2% |
| Other | 5 | 4% |
| Unknown | 26 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 March 2024.
All research outputs
#3,798,066
of 25,371,288 outputs
Outputs from Medical & Biological Engineering & Computing
#57
of 2,053 outputs
Outputs of similar age
#29,722
of 253,083 outputs
Outputs of similar age from Medical & Biological Engineering & Computing
#2
of 13 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,053 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 93% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 253,083 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.