Evidence map›Paper›PMID 29300738›Full record

ArticlePloS one2018

Hemodynamics in a giant intracranial aneurysm characterized by in vitro 4D flow MRI.

Omid Amili, Daniele Schiavazzi, Sean Moen, Bharathi Jagadeesan, Pierre-François Van de Moortele, Filippo Coletti

Abstract readValidation Study
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Hemodynamics in Cerebral Aneurysms and Parent Arteries With Incompletely Expanded Flow Diverter Stents.International journal for numerical methods in biomedical engineering · 2025
    Article
  5. Article
  6. Development of idealized human aortic models forFrontiers in cardiovascular medicine · 2024
    Article
  7. Imaging of Intracranial Saccular Aneurysms.Stroke (Hoboken, N.J.) · 2023
    Review
  8. Article
  9. Article
  10. On the numerical treatment of viscous and convective effects in relative pressure reconstruction methods.International journal for numerical methods in biomedical engineering · 2022
    Article
  11. Article
  12. SRflow: Deep learning based super-resolution of 4D-flow MRI data.Frontiers in artificial intelligence · 2022
    Article
  13. Role of patient-specific blood properties in computational fluid dynamics simulation of flow diverter deployed cerebral aneurysms.Technology and health care : official journal of the European Society for Engineering and Medicine · 2022
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. 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

6 authors.

Omid AmiliDepartment of Aerospace Engineering and Mechanics, University of Minnesota, Minneapolis, MN, United States of America.ORCID 0000-0003-2230-7831
Daniele SchiavazziDepartment of Applied and Computational Mathematics and Statistics, University of Notre Dame, Notre Dame, IN, United States of America.
Sean MoenDepartment of Neurosurgery, University of Minnesota, Minneapolis, MN, United States of America.
Bharathi JagadeesanDepartment of Radiology, University of Minnesota, Minneapolis, MN, United States of America.
Pierre-François Van de MoorteleDepartment of Radiology, University of Minnesota, Minneapolis, MN, United States of America.
Filippo ColettiDepartment of Aerospace Engineering and Mechanics, University of Minnesota, Minneapolis, MN, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Experimental and computational data suggest that hemodynamics play a critical role in the development, growth, and rupture of cerebral aneurysms. The flow structure, especially in aneurysms with a large sac, is highly complex and three-dimensional. Therefore, volumetric and time-resolved measurements of the flow properties are crucial to fully characterize the hemodynamics. In this study, phase-contrast Magnetic Resonance Imaging is used to assess the fluid dynamics inside a 3D-printed replica of a giant intracranial aneurysm, whose hemodynamics was previously simulated by multiple research groups. The physiological inflow waveform is imposed in a flow circuit with realistic cardiovascular impedance. Measurements are acquired with sub-millimeter spatial resolution for 16 time steps over a cardiac cycle, allowing for the detailed reconstruction of the flow evolution. Moreover, the three-dimensional and time-resolved pressure distribution is calculated from the velocity field by integrating the fluid dynamics equations, and is validated against differential pressure measurements using precision transducers. The flow structure is characterized by vortical motions that persist within the aneurysm sac for most of the cardiac cycle. All the main flow statistics including velocity, vorticity, pressure, and wall shear stress suggest that the flow pattern is dictated by the aneurysm morphology and is largely independent of the pulsatility of the inflow, at least for the flow regimes investigated here. Comparisons are carried out with previous computational simulations that used the same geometry and inflow conditions, both in terms of cycle-averaged and systolic quantities.

Indexed as

HemodynamicsHumansIntracranial AneurysmMagnetic Resonance ImagingModels, Biological

Identifiers

PMID29300738
PMCPMC5754057

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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.