Evidence map›Paper›PMID 33839985›Full record

ArticleMagma (New York, N.Y.)2021

Identification of intra-individual variation in intracranial arterial flow by MRI and the effect on computed hemodynamic descriptors.

Xinke Liu, Evan Kao, Henrik Haraldsson, Megan Ballweber, Alastair Martin, Youxiang Li, Yuting Wang, David Saloner

Abstract read
In one paragraph

Article in Magma (New York, N.Y.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
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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.

Xinke LiuDepartment of Interventional Neuroradiology, Beijing Neurosurgical Institute and Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Evan KaoDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, USA.
Henrik HaraldssonDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, USA.
Megan BallweberDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, USA.
Alastair MartinDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, USA.
Youxiang LiDepartment of Interventional Neuroradiology, Beijing Neurosurgical Institute and Beijing Tiantan Hospital, Capital Medical University, Beijing, China. liyouxiang@263.net.
Yuting WangDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, USA. wangyuting_330@163.com.ORCID http://orcid.org/0000-0002-1443-2643
David SalonerDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, USA.

Funding

Determinants of Intracranial Aneurysm GrowthR01NS059944 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SALONER, DAVID A · 2009 to 2013
$1.7M
NIH HHS NS059944 (DS)NINDS NIH HHS R01 NS059944
6 · The paper itself

Abstract

objectivesTo determine the intra-individual flow variation in serially acquired studies, and the influence of this variation on subsequent hemodynamic simulations using the inlet flow as a boundary condition. Author: Kindly check and confirm whether the corresponding authors are correctly identified.Confirmed. MATERIALS AND

methodsThis prospective study included 51 patients (37 females and 14 males) with unruptured intracranial aneurysms who have received more than three times follow-up of 2D phase-contrast MR. The flow and velocity parameters were extracted to calculate the reproducibility and variation. Patient-specific computational fluid dynamics simulations were performed using the measured flows.

resultsIntraclass correlation coefficients for mean and maximum velocity and flow parameters ranged from 0.77 to 0.90. A 10% CV of mean flow was identified. Variations of 10% in inlet flow resulted in hemodynamic changes including 41.41% of peak systolic wall shear stress; 39.13% of end-diastolic wall shear stress; 2.79% of low shear area at peak systole; 2.12% of low shear area at end diastole: 47.57% of time-averaged wall shear stress; and 0.17% of oscillatory shear index.

conclusionThis study identified 10% of intra-individual mean flow variation on phase-contrast MR. Intra-individual flow variation resulted in a non-negligible variation in wall shear stress, but relatively small variation in low shear area in hemodynamic calculations.

Indexed as

HemodynamicsIntracranial AneurysmFemaleHumansHydrodynamicsMagnetic Resonance ImagingMaleModels, CardiovascularProspective StudiesReproducibility of ResultsStress, MechanicalFlowHemodynamicsIntracranialMRReproducibility

Identifiers

PMID33839985
PMCPMC8429212

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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.