Evidence map›Paper›PMID 32888766›Full record

ArticleAcademic radiology2021

Highly Accelerated Real-Time Free-Breathing Cine CMR for Patients With a Cardiac Implantable Electronic Device.

Sungtak Hong, KyungPyo Hong, Austin E Culver, Ashitha Pathrose, Bradley D Allen, Jane E Wilcox, Daniel C Lee, Daniel Kim

Open access · greenAbstract read
In one paragraph

Article in Academic radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 36% of its field
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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Feasibility of cardiac-synchronized quantitative TPhysics and imaging in radiation oncology · 2022
    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

8 authors at 2 institutions in 1 country.

Sungtak HongDepartment of Radiology, Northwestern University Feinberg School of Medicine, 737 N. Michigan Avenue, Suite 1600, Chicago, IL 60611.
KyungPyo HongBioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY.
Austin E CulverDepartment of Radiology, Northwestern University Feinberg School of Medicine, 737 N. Michigan Avenue, Suite 1600, Chicago, IL 60611.
Ashitha PathroseDepartment of Radiology, Northwestern University Feinberg School of Medicine, 737 N. Michigan Avenue, Suite 1600, Chicago, IL 60611.
Bradley D AllenDepartment of Radiology, Northwestern University Feinberg School of Medicine, 737 N. Michigan Avenue, Suite 1600, Chicago, IL 60611.
Jane E WilcoxDivision of Cardiology, Internal Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL.
Daniel C LeeDivision of Cardiology, Internal Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL.
Daniel KimDepartment of Radiology, Northwestern University Feinberg School of Medicine, 737 N. Michigan Avenue, Suite 1600, Chicago, IL 60611. Electronic address: daniel.kim3@northwestern.edu.
Northwestern University · USIcahn School of Medicine at Mount Sinai · US

Funding

Northwestern University Clinical and Translational Science Institute (NUCATS)UL1TR001422 · NCATS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI D'AQUILA, RICHARD · 2015 to 2023
$56.8M
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
Rapid Real-Time Cardiovascular MRI for Detecting Coronary Artery DiseaseR01HL138578 · NHLBI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI KIM, DANIEL, LEE, DANIEL CHING-HAO · 2017 to 2019
$1.1M
Rapid Pediatric Cardiovascular MRI without Contrast Agent or AnesthesiaR21EB024315 · NIBIB · NORTHWESTERN UNIVERSITY AT CHICAGO · PI KIM, DANIEL · 2017 to 2018
$567k
MRI of Left Atrial Hemodynamic Disorders in Atrial FibrillationR21AG055954 · NIA · NORTHWESTERN UNIVERSITY AT CHICAGO · PI KIM, DANIEL, MARKL, MICHAEL · 2017 to 2018
$487k
Next-Generation Cardiovascular MRI powered by Artificial IntelligenceR21EB030806 · NIBIB · NORTHWESTERN UNIVERSITY AT CHICAGO · PI KATSAGGELOS, AGGELOS K, KIM, DANIEL · 2021 to 2022
$420k
NCATS NIH HHS UL1 TR001422NHLBI NIH HHS R01 HL116895NHLBI NIH HHS R01 HL138578NHLBI NIH HHS R01 HL151079NIA NIH HHS R21 AG055954NIBIB NIH HHS R21 EB024315NIBIB NIH HHS R21 EB030806
6 · The paper itself

Abstract

RATIONALE AND

objectivesTo develop a 16-fold accelerated real-time, free-breathing cine cardiovascular magnetic resonance (CMR) pulse sequence with compressed sensing reconstruction and test whether it is capable of producing clinically acceptable summed visual scores (SVS) and accurate left ventricular ejection fraction (LVEF) in patients with a cardiac implantable electronic device (CIED). MATERIALS AND

methodsA 16-fold accelerated real-time cine CMR pulse sequence was developed using gradient echo readout, Cartesian k-space sampling, and compressed sensing. We scanned 13 CIED patients (mean age = 59 years; 9/4 males/females) using clinical standard, breath-hold cine and real-time, free-breathing cine. Two clinical readers performed a visual assessment of image quality in four categories (conspicuity of endocardial wall at end diastole, temporal fidelity of wall motion, any artifact level on the heart, noise) using a five-point Likert scale (1: worst; 3: clinically acceptable; 5: best). SVS was calculated as the sum of 4 individual scores, where 12 was defined as clinical acceptable. The Wilcoxon signed-rank test was performed to compare SVS, and the Bland-Altman analysis was conducted to evaluate the agreement of LVEF.

resultsMedian scan time was 3.7 times shorter for real-time (3.5 heartbeats per slice) than clinical standard (13 heartbeats per slice, excluding nonscanning time between successive breath-hold acquisitions). Median SVS was not significantly different between clinical standard (15.0) and real-time (14.5). The mean difference in LVEF was -2% (4.7% of mean), and the limits of agreement was 5.8% (13.5% of mean).

conclusionThis study demonstrates that the proposed real-time cine method produces clinically acceptable SVS and relatively accurate LVEF in CIED patients.

Indexed as

Image Interpretation, Computer-AssistedMagnetic Resonance Imaging, CineElectronicsFemaleHumansMagnetic Resonance SpectroscopyMaleMiddle AgedReproducibility of ResultsStroke VolumeVentricular Function, LeftCartesian k-space samplingCine CMRCompressed sensingFree-breathingReal-time

Identifiers

PMID32888766
PMCPMC7917162
OpenAlexW3082026134

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.