Evidence map›Paper›PMID 35146822›Full record

ArticleJournal of magnetic resonance imaging : JMRI2022

Intracranial Blood Flow Quantification by Accelerated Dual-venc 4D Flow MRI: Comparison With Transcranial Doppler Ultrasound.

Simin Mahinrad, Can Ozan Tan, Yue Ma, Maria Aristova, Andrew L Milstead, Donald Lloyd-Jones, Susanne Schnell, Michael Markl, Farzaneh A Sorond

Abstract read
In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Simin MahinradDepartment of Neurology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.ORCID 0000-0002-5927-7130
Can Ozan TanDepartment of Physical Medicine and Rehabilitation, Harvard Medical School, Cerebrovascular Research Laboratory, Spaulding Rehabilitation Hospital, Boston, Massachusetts, USA.
Yue MaDepartment of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Maria AristovaDepartment of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.ORCID 0000-0002-9330-9415
Andrew L MilsteadDepartment of Neurology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Donald Lloyd-JonesDepartment of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Susanne SchnellDepartment of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.ORCID 0000-0001-6009-4756
Michael MarklDepartment of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Farzaneh A SorondDepartment of Neurology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.

Funding

Cerebral Small Vessels in Motor and Cognitive Decline: Neuroimaging Signatures of Vulnerability & ResilienceR01NS085002 · NINDS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI FARZANEH A SOROND · 2014 to 2026
$3.8M
Non-invasive Evaluation of Intracranial Atherosclerotic Disease Using Hemodynamic BiomarkersR01HL149787 · NHLBI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI ANSARI, SAMEER A, MARKL, MICHAEL · 2020 to 2023
$1.9M
Cerebral Small Vessels in Motor and Cognitive Decline: Neuroimaging Signatures of Vulnerability & ResilienceRF1NS085002 · NINDS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI SOROND, FARZANEH A · 2022 to 2022
$1.5M
4D Flow MRI for characterization of brain arteriovenous malformationsF30HL140910 · NHLBI · NORTHWESTERN UNIVERSITY · PI ARISTOVA, MARIA · 2018 to 2021
$181k
NHLBI NIH HHS F30 HL140910NHLBI NIH HHS HHSN268201800003INHLBI NIH HHS HHSN268201800004INHLBI NIH HHS HHSN268201800005INHLBI NIH HHS HHSN268201800006INHLBI NIH HHS HHSN268201800007INHLBI NIH HHS R01 HL149787NIH HHS F30 HL140910NIH HHS R01NS085002NIH HHS T32 GM815229NINDS NIH HHS R01 NS085002NINDS NIH HHS RF1 NS085002
6 · The paper itself

Abstract

backgroundDual-venc 4D flow MRI, recently introduced for the assessment of intracranial hemodynamics, may provide a promising complementary approach to well-established tools such as transcranial Doppler ultrasound (TCD) and overcome some of their disadvantages. However, data comparing intracranial flow measures from dual-venc 4D flow MRI and TCD are lacking. PURPOSE: To compare cerebral blood flow velocity measures derived from dual-venc 4D flow MRI and TCD. STUDY TYPE: Prospective cohort. SUBJECTS: A total of 25 healthy participants (56 ± 4 years old, 44% female). FIELD STRENGTH/SEQUENCE: A 3 T/dual-venc 4D flow MRI using a time-resolved three-dimensional phase-contrast sequence with three-dimensional velocity encoding. ASSESSMENT: Peak velocity measurements in bilateral middle cerebral arteries (MCA) were quantified from dual-venc 4D flow MRI and TCD. The MRI data were quantified by two independent observers (S.M and Y.M.) and TCD was performed by a trained technician (A.L.M.). We assessed the agreement between 4D flow MRI and TCD measures, and the interobserver agreement of 4D flow MRI measurements. STATISTICAL TESTS: Peak velocity from MRI and TCD was compared using Bland-Altman analysis and coefficient of variance. Intraclass correlation coefficient (ICC) was used to assess MRI interobserver agreement. A P value < 0.05 was considered statistically significant.

resultsThere was excellent interobserver agreement in dual-venc 4D flow MRI-based measurements of peak velocity in bilateral MCA (ICC = 0.97 and 0.96 for the left and right MCA, respectively). Dual-venc 4D flow MRI significantly underestimated peak velocity in the left and right MCA compared to TCD (bias = 0.13 [0.59, -0.33] m/sec and 0.15 [0.47, -0.17] m/sec, respectively). The coefficient of variance between dual-venc 4D flow MRI and TCD measurements was 26% for the left MCA and 22% for the right MCA. DATA

conclusionThere was excellent interobserver agreement for the assessment of MCA peak velocity using dual-venc 4D flow MRI, and ≤20% under-estimation compared with TCD. EVIDENCE LEVEL: 3 TECHNICAL EFFICACY: Stage 2.

Indexed as

Magnetic Resonance AngiographyUltrasonography, Doppler, TranscranialBlood Flow VelocityFemaleHemodynamicsHumansMagnetic Resonance ImagingMaleMiddle AgedProspective StudiesReproducibility of ResultsSensitivity and Specificity4D flow MRIcerebrovascular hemodynamicshealthy subjectstranscranial Doppler ultrasound

Identifiers

PMID35146822
PMCPMC9363520

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LicenceCC BY-NC-ND
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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.