Evidence map›Paper›PMID 39642044›Full record

ArticleMagnetic resonance in medicine2025

Aortic velocity measurements derived from phase-contrast MRI are influenced by a cardiac implantable electronic device in both adult and pediatric human subjects.

Huili Yang, Oluyemi B Aboyewa, Gregory Webster, Dhaivat Shah, Laleh Golestanirad, Justin J Baraboo, Michael Markl, Jeremy D Collins, Bradley P Knight, KyungPyo Hong and 3 more

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2025. 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

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

13 authors.

Huili YangDepartment of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.ORCID 0000-0003-2982-6036
Oluyemi B AboyewaDepartment of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.ORCID 0000-0003-0537-7141
Gregory WebsterDivision of Cardiology, Department of Pediatrics, Ann & Robert H. Lurie Children's Hospital, Chicago, Illinois, USA.
Dhaivat ShahDivision of Cardiology, Department of Pediatrics, Ann & Robert H. Lurie Children's Hospital, Chicago, Illinois, USA.ORCID 0000-0003-1140-314X
Laleh GolestaniradDepartment of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.ORCID 0000-0003-3869-6114
Justin J BarabooDepartment of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.ORCID 0000-0001-7301-0005
Michael MarklDepartment of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Jeremy D CollinsDepartment of Radiology, Mayo Clinic, Rochester, 55905, Minnesota, USA.
Bradley P KnightDepartment of Medicine (Cardiology), Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
KyungPyo HongDepartment of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Amit R PatelDepartment of Medicine (Cardiovascular Division), University of Virginia School of Medicine, Charlottesville, Virginia, USA.
Daniel C LeeDepartment of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Daniel KimDepartment of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.ORCID 0000-0003-2660-8973

Funding

Precision MRI of Left Atrial Fibrosis for Patients with Atrial FibrillationR01HL116895 · NHLBI · UNIVERSITY OF UTAH · PI KIM, DANIEL · 2014 to 2025
$5.1M
Wideband 3D LGE and Coronary MRA for Planning Ventricular Tachycardia AblationR01HL151079 · NHLBI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Daniel Kim, Daniel Ching-Hao Lee · 2020 to 2026
$4.0M
Quantitative Detection of Coronary Microvascular Dysfunction in Long COVID Patients using a Comprehensive, Rapid, Free-Breathing Cardiovascular MRIR01HL167148 · NHLBI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Daniel Kim, Daniel Ching-Hao Lee · 2023 to 2026
$3.1M
Safe and Effective MRI for Pediatric Patients with a Cardiac Implantable Electronic DeviceR01HL168859 · NHLBI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Laleh Golestani Rad, Daniel Kim · 2024 to 2026
$2.0M
Arrhythmia-resolved 5D Flow MRI in Atrial Fibrillation and StrokeF31HL165915 · NHLBI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI BARABOO, JUSTIN J · 2022 to 2023
$86k
American Heart Association 23PRE1027440American Heart Association 949899American Heart Association-American Stroke Association 949899NHLBI NIH HHS F31 HL165915NHLBI NIH HHS R01 HL116895NHLBI NIH HHS R01 HL151079NHLBI NIH HHS R01 HL167148NHLBI NIH HHS R01 HL168859NIH HHS F31H165915NIH HHS R01HL116895NIH HHS R01HL151079NIH HHS R01HL167148NIH HHS R01HL168859Radiological Society of North America EILTC2302
6 · The paper itself

Abstract

purposeOverall there is a lack of evidence on the accuracy and precision of phase-contrast (PC) MRI in patients with cardiac implantable electronic devices (CIEDs). The purpose of this study is to determine whether aortic velocity measurements are influenced by a CIED.

methodsWe scanned 21 adult patients and 8 pediatric volunteers using clinical standard PC and real-time PC (rt-PC) sequences with and without a CIED generator taped on human subjects (below the left clavicle for adults and children; also on the abdomen for children) to mimic image artifacts. Peak and mean velocities above the aortic valve were calculated.

resultsThe Bland-Altman analyses on peak velocity measurements in pediatric subjects showed that both the accuracy and precision worsen as the distance between the CIED and aortic valve decreases (i.e., from abdomen to below the left clavicle). Specifically, both the bias and the coefficient of variation (CV) for both clinical PC and rt-PC increased from the abdominal position (clinical: bias = -1.1%, CV = 4.3%; rt-PC: bias = -0.3%, CV = 3.4%) to the clavicle position (clinical: bias = -4.0%, CV = 8.1%; rt-PC: bias = 8.2%, CV = 7.3%). A similar trend was observed for mean velocity. The mean difference in peak and mean velocity measurements between rt-PC with CIED (either position) and clinical standard PC with no CIED was within 7.5%. In adult patients, the mean difference between rt-PC with CIED and clinical standard PC with CIED in peak velocity was 6.9%, and the CV was 7.9%.

conclusionThis study demonstrates that aortic velocity measurements are influenced by CIED in both adult and pediatric subjects.

Indexed as

AortaArtifactsDefibrillators, ImplantableMagnetic Resonance ImagingPacemaker, ArtificialAdolescentAdultAgedBlood Flow VelocityChildChild, PreschoolFemaleHumansMaleMiddle AgedReproducibility of Resultsaortic flowCIEDphase‐contrast MRIreal‐time MRI

Identifiers

PMID39642044
PMCPMC11893034

What OpenQuestion holds

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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.