Evidence map›Paper›PMID 40067580›Full record

ArticleBiomechanics and modeling in mechanobiology2025

A combined 4D flow MR imaging and fluid-structure interaction analysis of ascending thoracic aortic aneurysms.

Yu Zhu, Chlöe Armour, Binghuan Li, Selene Pirola, Yousuf Salmasi, Thanos Athanasiou, Declan P O'Regan, Xiao Yun Xu

Abstract read
In one paragraph

Article in Biomechanics and modeling in mechanobiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Biomechanical stress profiling in coronary arteries via two-phase blood FSI.Biomechanics and modeling in mechanobiology · 2025
    Article
  5. 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

8 authors.

Yu ZhuDepartment of Chemical Engineering, Imperial College London, London, UK.
Chlöe ArmourDepartment of Chemical Engineering, Imperial College London, London, UK.
Binghuan LiDepartment of Chemical Engineering, Imperial College London, London, UK.
Selene PirolaDepartment of Chemical Engineering, Imperial College London, London, UK.
Yousuf SalmasiDepartment of Surgery and Cancer, Imperial College London, London, UK.
Thanos AthanasiouDepartment of Surgery and Cancer, Imperial College London, London, UK.
Declan P O'ReganMRC London Institute of Medical Sciences, Imperial College London, London, UK.
Xiao Yun XuDepartment of Chemical Engineering, Imperial College London, London, UK. yun.xu@imperial.ac.uk.

Funding

British Heart Foundation RE/18/4/34215Heart Research UK NET21-100038Medical Research Council MC_UP_1605/13
6 · The paper itself

Abstract

This study aimed to characterize the altered hemodynamics and wall mechanics in ascending thoracic aortic aneurysms (ATAA) by employing fully coupled two-way fluid-structure interaction (FSI) analyses. Our FSI models incorporated hyperelastic wall mechanical properties, prestress, and patient-specific inlet velocity profiles (IVP) extracted from 4D flow magnetic resonance imaging (MRI). By performing FSI analyses on 7 patient-specific ATAA models and 6 healthy aortas, the primary objective of the study was to compare hemodynamic and biomechanical features in ATAA versus healthy controls. A secondary objective was to examine the need for 4D flow MRI-derived IVP in FSI simulations by comparing results with those using two commonly adopted idealized IVPs: Flat-IVP and Para-IVP for selected cases. Our results show that, compared to the healthy aortas, the ATAA models exhibited highly disturbed blood flow in the ascending aorta. Consequently, maximum turbulent kinetic energy (TKE) at peak systole (155.0 ± 188.4 Pa) and maximum time-averaged wall shear stress (TAWSS) (8.6 ± 6.5 Pa) were significantly higher in the ATAA cohort, compared to 0.6 ± 0.5 Pa and 2.8 ± 0.7 Pa in the healthy aortas. Peak wall stress was also nearly doubled in the ATAA group (414 ± 108 kPa vs. 215 ± 31 kPa). Additionally, comparisons of simulation results across models with different IVPs underscore the importance of prescribing 3D-IVP at the inlet, especially for ATAA cases. Using idealized IVPs in two selected ATAA models (P1 and P7) substantially reduced the maximum TKE from 571 Pa to 0.01 Pa (Flat-IVP) and 0.02 Pa (Para-IVP) in P1 and from 73 Pa to 0.01 Pa (Flat-IVP) and 0.08 Pa (Para-IVP) in P7, while the maximum TAWSS in the ascending aorta decreased from 9.6 Pa to 0.7 Pa (Flat-IVP) and 0.9 Pa (Para-IVP) in P1, and from 3.6 Pa to 1.2 Pa and 0.9 Pa, respectively, in P7. Moreover, idealized IVPs also caused the peak wall stress to reduce by up to 11.5% in P1 with severe aortic valve stenosis, and by up to 2% in P7 with mild aortic regurgitation. These results highlight the importance of FSI simulations combined with 4D flow MRI in capturing realistic hemodynamic and biomechanical changes in aneurysmal aortas.

Indexed as

AortaAortic Aneurysm, ThoracicImaging, Three-DimensionalMagnetic Resonance ImagingAgedBiomechanical PhenomenaBlood Flow VelocityFemaleHemodynamicsHumansMaleMiddle AgedModels, CardiovascularStress, MechanicalAscending thoracic aortic aneurysmFluid–structure interactionFour-dimensional flow magnetic resonance imagingInlet velocity profiles

Identifiers

PMID40067580
PMCPMC12162810

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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.