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Adaptive outflow boundary conditions improve post-operative predictions after repair of peripheral pulmonary artery stenosis

Overview of attention for article published in Biomechanics and Modeling in Mechanobiology, February 2016
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Title
Adaptive outflow boundary conditions improve post-operative predictions after repair of peripheral pulmonary artery stenosis
Published in
Biomechanics and Modeling in Mechanobiology, February 2016
DOI 10.1007/s10237-016-0766-5
Pubmed ID
Authors

Weiguang Yang, Jeffrey A. Feinstein, Irene E. Vignon-Clementel

Abstract

Peripheral pulmonary artery stenosis (PPS) is a congenital abnormality resulting in pulmonary blood flow disparity and right ventricular hypertension. Despite recent advance in catheter-based interventions, surgical reconstruction is still preferred to treat complex PPS. However optimal surgical strategies remain unclear. It would be of great benefit to be able to predict post-operative hemodynamics to assist with surgical planning toward optimizing outcomes. While image-based computational fluid dynamics has been used in cardiovascular surgical planning, most studies have focused on the impact of local geometric changes on hemodynamic performance. Previous experimental studies suggest morphological changes in the pulmonary arteries not only alter local hemodynamics but also lead to distal pulmonary adaptation. In this proof of concept study, a constant shear stress hypothesis and structured pulmonary trees are used to derive adaptive outflow boundary conditions for post-operative simulations. Patient-specific simulations showed the adaptive outflow boundary conditions by the constant shear stress model to provide better predictions of pulmonary flow distribution than the conventional strategy of maintaining outflow boundary conditions. On average, the relative difference, when compared to the gold standard clinical test, in blood flow distribution to the right lung is reduced from 20 to 4 %. This suggests adaptive outflow boundary conditions should be incorporated into post-operative modeling in patients with complex PPS.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
United States 1 3%
Unknown 28 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 27%
Student > Ph. D. Student 5 17%
Professor 3 10%
Student > Master 3 10%
Student > Bachelor 2 7%
Other 5 17%
Unknown 4 13%
Readers by discipline Count As %
Engineering 13 43%
Medicine and Dentistry 6 20%
Computer Science 1 3%
Materials Science 1 3%
Mathematics 1 3%
Other 0 0%
Unknown 8 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 19 December 2016.
All research outputs
#14,405,036
of 23,849,058 outputs
Outputs from Biomechanics and Modeling in Mechanobiology
#186
of 486 outputs
Outputs of similar age
#203,447
of 401,859 outputs
Outputs of similar age from Biomechanics and Modeling in Mechanobiology
#4
of 9 outputs
Altmetric has tracked 23,849,058 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 486 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 38th percentile – i.e., 38% of its peers scored the same or lower than it.
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 401,859 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.