Evidence map›Paper›PMID 29971012›Full record

ArticleFrontiers in physiology2018

Validation of Patient-Specific Cerebral Blood Flow Simulation Using Transcranial Doppler Measurements.

Derek Groen, Robin A Richardson, Rachel Coy, Ulf D Schiller, Hoskote Chandrashekar, Fergus Robertson, Peter V Coveney

Abstract read
In one paragraph

Article in Frontiers in physiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
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  10. Uncertainty quantification in classical molecular dynamics.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2021
    Article
  11. Article
  12. Article
  13. Lattice-Boltzmann interactive blood flow simulation pipeline.International journal of computer assisted radiology and surgery · 2020
    Article
  14. 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.

Derek GroenDepartment of Computer Science, Brunel University London, London, United Kingdom.
Robin A RichardsonCentre for Computational Science, University College London, London, United Kingdom.
Rachel CoyCentre for Mathematics and Physics in the Life Sciences and Experimental Biology, University College London, London, United Kingdom.
Ulf D SchillerDepartment of Materials Science and Engineering, Clemson University, Clemson, SC, United States.
Hoskote ChandrashekarLysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, University College London, London, United Kingdom.
Fergus RobertsonLysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, University College London, London, United Kingdom.
Peter V CoveneyCentre for Computational Science, University College London, London, United Kingdom.

Funding

British Heart Foundation SP/08/004
6 · The paper itself

Abstract

We present a validation study comparing results from a patient-specific lattice-Boltzmann simulation to transcranial Doppler (TCD) velocity measurements in four different planes of the middle cerebral artery (MCA). As part of the study, we compared simulations using a Newtonian and a Carreau-Yasuda rheology model. We also investigated the viability of using downscaled velocities to reduce the required resolution. Simulations with unscaled velocities predict the maximum flow velocity with an error of less than 9%, independent of the rheology model chosen. The accuracy of the simulation predictions worsens considerably when simulations are run at reduced velocity, as is for example the case when inflow velocities from healthy individuals are used on a vascular model of a stroke patient. Our results demonstrate the importance of using directly measured and patient-specific inflow velocities when simulating blood flow in MCAs. We conclude that localized TCD measurements together with predictive simulations can be used to obtain flow estimates with high fidelity over a larger region, and reduce the need for more invasive flow measurement procedures.

Indexed as

blood flowcomputational fluid dynamicshigh performance computinglattice-Boltzmannmiddle cerebral arterytranscranial Dopplervalidation study

Identifiers

PMID29971012
PMCPMC6018476

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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.