Evidence map›Paper›PMID 36535100›Full record

ArticleJournal of biomechanics2023

Flow-based method demonstrates improved accuracy for calculating wall shear stress in arterial flows from 4D flow MRI data.

Elliott R Hurd, Elizabeth Iffrig, David Jiang, John N Oshinski, Lucas H Timmins

Open access · greenAbstract read
In one paragraph

Article in Journal of biomechanics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 32% of its field
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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Observational
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

5 authors at 3 institutions in 1 country.

Elliott R HurdDepartment of Biomedical Engineering, University of Utah, Salt Lake City, UT 84112, USA.
Elizabeth IffrigDivision of Allergy, Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Emory University School of Medicine, Atlanta, GA 30322, USA; Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA 30332, USA.
David JiangDepartment of Biomedical Engineering, University of Utah, Salt Lake City, UT 84112, USA.
John N OshinskiWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA 30332, USA; Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA 30322, USA.
Lucas H TimminsDepartment of Biomedical Engineering, University of Utah, Salt Lake City, UT 84112, USA; Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT 84112, USA. Electronic address: lucas.timmins@utah.edu.
University of Utah · USEmory University · USThe Wallace H. Coulter Department of Biomedical Engineering · US

Funding

Biomechanical Indices for Coronary Lesion Rupture Risk and Lesion PrognosticationR01HL150608 · NHLBI · UNIVERSITY OF UTAH · PI HSU, EDWARD W, TIMMINS, LUCAS H. · 2020 to 2024
$1.7M
Coronary Fractional Flow Reserve Determined Using MRI and CFDR01EB027774 · NIBIB · EMORY UNIVERSITY · PI OSHINSKI, JOHN N · 2020 to 2025
$1.7M
Emory R38 Research Training ProgramR38AI140299 · NIAID · EMORY UNIVERSITY · PI OFOTOKUN, IGHOVWERHA, ROUPHAEL, NADINE GEORGES · 2018 to 2021
$1.4M
Hemodynamics, thrombosis, and stroke risk in patients with carotid websR21NS114603 · NINDS · EMORY UNIVERSITY · PI ALLEN, JASON WILLIAM, OSHINSKI, JOHN N · 2020 to 2020
$429k
NHLBI NIH HHS R01 HL150608NIAID NIH HHS R38 AI140299NIBIB NIH HHS R01 EB027774NINDS NIH HHS R21 NS114603
6 · The paper itself

Abstract

Four-dimensional flow magnetic resonance imaging (i.e., 4D flow MRI) has become a valuable tool for the in vivo assessment of blood flow within large vessels and cardiac chambers. As wall shear stress (WSS) has been correlated with the development and progression of cardiovascular disease, focus has been directed at developing techniques to quantify WSS directly from 4D flow MRI data. The goal of this study was to compare the accuracy of two such techniques - termed the velocity and flow-based methods - in the setting of simplified and complex flow scenarios. Synthetic MR data were created from exact solutions to the Navier-Stokes equations for the steady and pulsatile flow of an incompressible, Newtonian fluid through a rigid cylinder. In addition, synthetic MR data were created from the predicted velocity fields derived from a fluid-structure interaction (FSI) model of pulsatile flow through a thick-walled, multi-layered model of the carotid bifurcation. Compared to the analytical solutions for steady and pulsatile flow, the flow-based method demonstrated greater accuracy than the velocity-based method in calculating WSS across all changes in fluid velocity/flow rate, tube radius, and image signal-to-noise (p < 0.001). Furthermore, the velocity-based method was more sensitive to boundary segmentation than the flow-based method. When compared to results from the FSI model, the flow-based method demonstrated greater accuracy than the velocity-based method with average differences in time-averaged WSS of 0.31 ± 1.03 Pa and 0.45 ± 1.03 Pa, respectively (p <0.005). These results have implications on the utility, accuracy, and clinical translational of methods to determine WSS from 4D flow MRI.

Indexed as

HemodynamicsMagnetic Resonance ImagingBlood Flow VelocityCarotid ArteriesModels, CardiovascularPulsatile FlowStress, MechanicalBiomechanicsCardiac MRIFluid–structure interactionHemodynamicsPhase-contrast magnetic resonance imaging

Identifiers

PMID36535100
PMCPMC9845191
OpenAlexW4312141127

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.