Evidence map›Paper›PMID 32257331›Full record

ArticleRoyal Society open science2020

Fluid-structure interaction simulations outperform computational fluid dynamics in the description of thoracic aorta haemodynamics and in the differentiation of progressive dilation in Marfan syndrome patients.

R Pons, A Guala, J F Rodríguez-Palomares, J C Cajas, L Dux-Santoy, G Teixidó-Tura, J J Molins, M Vázquez, A Evangelista, J Martorell

Abstract read
In one paragraph

Article in Royal Society open science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

  1. Article
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  8. Article
  9. Fast Approximate Quantification of Endovascular Stent Graft Displacement Forces in the Bovine Aortic Arch Variant.Journal of endovascular therapy : an official journal of the International Society of Endovascular Specialists · 2023
    Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. On the Role and Effects of Uncertainties in CardiovascularFrontiers in medical technology · 2021
    Article
  15. Article
  16. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

R PonsDepartment of Chemical Engineering and Material Sciences, IQS School of Engineering, Universitat Ramon Llull, Via Augusta 390, 08017 Barcelona, Spain.ORCID 0000-0003-0040-928X
A GualaHospital Universitari Vall d'Hebron, Department of Cardiology, CIBER-CV, Vall d'Hebron Institut de recerca (VHIR), Universitat Autonoma de Barcelona, Barcelona, Spain.
J F Rodríguez-PalomaresHospital Universitari Vall d'Hebron, Department of Cardiology, CIBER-CV, Vall d'Hebron Institut de recerca (VHIR), Universitat Autonoma de Barcelona, Barcelona, Spain.
J C CajasBarcelona Supercomputing Center (BSC-CNS), Department of Computer Applications in Science and Engineering, C/Jordi Girona 29, 08034 Barcelona, Spain.
L Dux-SantoyHospital Universitari Vall d'Hebron, Department of Cardiology, CIBER-CV, Vall d'Hebron Institut de recerca (VHIR), Universitat Autonoma de Barcelona, Barcelona, Spain.ORCID 0000-0001-8736-2095
G Teixidó-TuraHospital Universitari Vall d'Hebron, Department of Cardiology, CIBER-CV, Vall d'Hebron Institut de recerca (VHIR), Universitat Autonoma de Barcelona, Barcelona, Spain.
J J MolinsDepartment of Chemical Engineering and Material Sciences, IQS School of Engineering, Universitat Ramon Llull, Via Augusta 390, 08017 Barcelona, Spain.
M VázquezBarcelona Supercomputing Center (BSC-CNS), Department of Computer Applications in Science and Engineering, C/Jordi Girona 29, 08034 Barcelona, Spain.ORCID 0000-0002-2526-6708
A EvangelistaHospital Universitari Vall d'Hebron, Department of Cardiology, CIBER-CV, Vall d'Hebron Institut de recerca (VHIR), Universitat Autonoma de Barcelona, Barcelona, Spain.
J MartorellDepartment of Chemical Engineering and Material Sciences, IQS School of Engineering, Universitat Ramon Llull, Via Augusta 390, 08017 Barcelona, Spain.ORCID 0000-0002-2043-2762

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Abnormal fluid dynamics at the ascending aorta may be at the origin of aortic aneurysms. This study was aimed at comparing the performance of computational fluid dynamics (CFD) and fluid-structure interaction (FSI) simulations against four-dimensional (4D) flow magnetic resonance imaging (MRI) data; and to assess the capacity of advanced fluid dynamics markers to stratify aneurysm progression risk. Eight Marfan syndrome (MFS) patients, four with stable and four with dilating aneurysms of the proximal aorta, and four healthy controls were studied. FSI and CFD simulations were performed with MRI-derived geometry, inlet velocity field and Young's modulus. Flow displacement, jet angle and maximum velocity evaluated from FSI and CFD simulations were compared to 4D flow MRI data. A dimensionless parameter, the shear stress ratio (SSR), was evaluated from FSI and CFD simulations and assessed as potential correlate of aneurysm progression. FSI simulations successfully matched MRI data regarding descending to ascending aorta flow rates (

Indexed as

ascending aorta aneurysmcomputational fluid dynamicfluid–structure interactionMarfan syndromeshear stress ratio

Identifiers

PMID32257331
PMCPMC7062053

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.