Evidence map›Paper›PMID 28425452›Full record

ArticleScientific reports2017

Estimating the irreversible pressure drop across a stenosis by quantifying turbulence production using 4D Flow MRI.

Hojin Ha, Jonas Lantz, Magnus Ziegler, Belen Casas, Matts Karlsson, Petter Dyverfeldt, Tino Ebbers

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Article
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  7. Aortic Stenosis: Haemodynamic Benchmark and Metric Reliability Study.Journal of cardiovascular translational research · 2023
    Article
  8. Article
  9. Non-invasive cardiovascular magnetic resonance assessment of pressure recovery distance after aortic valve stenosis.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2023
    Article
  10. Article
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  12. On the numerical treatment of viscous and convective effects in relative pressure reconstruction methods.International journal for numerical methods in biomedical engineering · 2022
    Article
  13. Article
  14. Article
  15. Article
  16. Characterization of anisotropic turbulence behavior in pulsatile blood flow.Biomechanics and modeling in mechanobiology · 2021
    Article
  17. Article
  18. Frontiers in bioengineering and biotechnology · 2021
    Article
  19. Article
  20. 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

7 authors.

Hojin HaDivision of Cardiovascular Medicine, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden.
Jonas LantzDivision of Cardiovascular Medicine, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden.
Magnus ZieglerDivision of Cardiovascular Medicine, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden.
Belen CasasDivision of Cardiovascular Medicine, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden.
Matts KarlssonCenter for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden.
Petter DyverfeldtDivision of Cardiovascular Medicine, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden.
Tino EbbersDivision of Cardiovascular Medicine, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden.

Funding

European Research Council 310612
6 · The paper itself

Abstract

The pressure drop across a stenotic vessel is an important parameter in medicine, providing a commonly used and intuitive metric for evaluating the severity of the stenosis. However, non-invasive estimation of the pressure drop under pathological conditions has remained difficult. This study demonstrates a novel method to quantify the irreversible pressure drop across a stenosis using 4D Flow MRI by calculating the total turbulence production of the flow. Simulation MRI acquisitions showed that the energy lost to turbulence production can be accurately quantified with 4D Flow MRI within a range of practical spatial resolutions (1-3 mm; regression slope = 0.91, R

Indexed as

AlgorithmsBlood Flow VelocityConstriction, PathologicHumansImaging, Three-DimensionalMagnetic Resonance AngiographyMagnetic Resonance ImagingModels, CardiovascularPressureReproducibility of Results

Identifiers

PMID28425452
PMCPMC5397859

What OpenQuestion holds

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Registered trials

None linked

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.