Evidence map›Paper›PMID 30924197›Full record

ArticleMagnetic resonance in medicine2019

Semi-automated analysis of 4D flow MRI to assess the hemodynamic impact of intracranial atherosclerotic disease.

Alireza Vali, Maria Aristova, Parmede Vakil, Ramez Abdalla, Shyam Prabhakaran, Michael Markl, Sameer A Ansari, Susanne Schnell

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
–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

30 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. 4D flow MRI for non-invasive measurement of blood flow in the brain: A systematic review.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2021
    Pooled it
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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.

Alireza ValiDepartment of Radiology, Northwestern University, Chicago, Illinois.
Maria AristovaDepartment of Radiology, Northwestern University, Chicago, Illinois.
Parmede VakilDepartment of Radiology, Northwestern University, Chicago, Illinois.
Ramez AbdallaDepartment of Radiology, Northwestern University, Chicago, Illinois.
Shyam PrabhakaranDepartment of Neurology, Northwestern University, Chicago, Illinois.
Michael MarklDepartment of Radiology, Northwestern University, Chicago, Illinois.
Sameer A AnsariDepartment of Radiology, Northwestern University, Chicago, Illinois.
Susanne SchnellDepartment of Radiology, Northwestern University, Chicago, Illinois.

Funding

Northwestern University Clinical and Translational Science Institute (NUCATS)UL1TR001422 · NCATS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI D'AQUILA, RICHARD · 2015 to 2023
$56.8M
Functional Cardiovascular 4D MRI in Congenital Heart DiseaseR01HL115828 · NHLBI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI MARKL, MICHAEL, RIGSBY, CYNTHIA K · 2012 to 2021
$5.2M
High Resolution and Functional MRI Assessment of Intracranial Atherosclerotic PlaqueR21HL130969 · NHLBI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI ANSARI, SAMEER A · 2016 to 2017
$425k
Multi-modality 4D Flow MRI data enhancement for quantification of cerebral aneurysms hemodynamicsR21NS106696 · NINDS · PURDUE UNIVERSITY · PI RAYZ, VITALIY L, SCHNELL, SUSANNE · 2018 to 2019
$419k
4D Flow MRI for characterization of brain arteriovenous malformationsF30HL140910 · NHLBI · NORTHWESTERN UNIVERSITY · PI ARISTOVA, MARIA · 2018 to 2021
$181k
American Heart Association-American Stroke Association 16SDG30420005American Heart Association-American Stroke Association 18POST33990451NCATS NIH HHS UL1 TR001422NHLBI NIH HHS F30 HL140910NHLBI NIH HHS R01 HL115828NHLBI NIH HHS R21 HL130969NINDS NIH HHS R21 NS106696
6 · The paper itself

Abstract

purposeThis study evaluated the feasibility of using 4D flow MRI and a semi-automated analysis tool to assess the hemodynamic impact of intracranial atherosclerotic disease (ICAD). The ICAD impact was investigated by evaluating pressure drop (PD) at the atherosclerotic stenosis and changes in cerebral blood flow distribution in patients compared to healthy controls.

methodsDual-venc 4D flow MRI was acquired in 25 healthy volunteers and 16 ICAD patients (ICA, N = 3; MCA, N = 13) with mild (<50%), moderate (50-69%), or severe (>70%) intracranial stenosis. A semi-automated analysis tool was developed to quantify velocity and flow from 4D flow MRI and to evaluate cerebral blood flow redistribution. PD at stenosis was estimated using the Bernoulli equation. The PD calculation was examined by an in vitro phantom study against flow simulations.

resultsFlow analysis in controls indicated symmetry in blood flow rate (FR) and peak velocity (PV) between the brain hemispheres. For patients, PV in the affected hemisphere was significantly (65%) higher than the normal side (P = 0.002). However, FR to both hemispheres of the brain was the same. The PD depicted significant correlation with PV asymmetry in patients (ρ = 0.67 and P = 0.02), and it was significantly higher for severe compared to moderate stenosis (3.73 vs. 2.30 mm Hg, P = 0.02).

conclusion4D flow MRI quantification enables assessment of the hemodynamic impact of ICAD. The significant difference of the PD between patients with severe and moderate stenosis and its correlation with PV asymmetry suggest that PD may be a pertinent hemodynamic biomarker to evaluate ICAD.

Indexed as

AdultBlood Flow VelocityBrainFemaleHumansImage Interpretation, Computer-AssistedImaging, Three-DimensionalIntracranial ArteriosclerosisMagnetic Resonance ImagingMaleMiddle AgedPhantoms, ImagingYoung Adult4D flow MRIautomated analysiscerebral hemodynamicsintracranial atherosclerotic disease

Identifiers

PMID30924197
PMCPMC6510639

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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.