Evidence map›Paper›PMID 31977117›Full record

ArticleNMR in biomedicine2020

Highly accelerated, real-time phase-contrast MRI using radial k-space sampling and GROG-GRASP reconstruction: a feasibility study in pediatric patients with congenital heart disease.

Hassan Haji-Valizadeh, Li Feng, Liliana E Ma, Daming Shen, Kai Tobias Block, Joshua D Robinson, Michael Markl, Cynthia K Rigsby, Daniel Kim

Open access · greenAbstract read
In one paragraph

Article in NMR in biomedicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.3field-weighted citation impact, top 17% 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

10 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Golden-Angle Radial MRI: Basics, Advances, and Applications.Journal of magnetic resonance imaging : JMRI · 2022
    Review
  8. Cardiac MR: From Theory to Practice.Frontiers in cardiovascular medicine · 2022
    Review
  9. Article
  10. 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

9 authors at 3 institutions in 2 countries.

Hassan Haji-ValizadehDepartment of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
Li FengBiomedical Engineering and Imaging Institute, Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York.ORCID 0000-0002-8692-7645
Liliana E MaDepartment of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
Daming ShenDepartment of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
Kai Tobias BlockDepartment of Radiology, University Hospital Basel, Basel, Switzerland.
Joshua D RobinsonDepartment of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
Michael MarklDepartment of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
Cynthia K RigsbyDepartment of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
Daniel KimDepartment of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Illinois.ORCID 0000-0003-2660-8973
Northwestern University · USIcahn School of Medicine at Mount Sinai · USUniversity Hospital of Basel · CH

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
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
4D Flow MRI-based assessment of atrial fibrillationF30HL137279 · NHLBI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI MA, LILIANA · 2017 to 2020
$189k
NCATS NIH HHS UL1 TR001422NHLBI NIH HHS F30 HL137279NHLBI NIH HHS R01 HL116895NHLBI NIH HHS R01 HL138578NIA NIH HHS R21 AG055954NIBIB NIH HHS R21 EB024315
6 · The paper itself

Abstract

Retrospective electrocardiogram-gated, 2D phase-contrast (PC) flow MRI is routinely used in clinical evaluation of valvular/vascular disease in pediatric patients with congenital heart disease (CHD). In patients not requiring general anesthesia, clinical standard PC is conducted with free breathing for several minutes per slice with averaging. In younger patients under general anesthesia, clinical standard PC is conducted with breath-holding. One approach to overcome this limitation is using either navigator gating or self-navigation of respiratory motion, at the expense of lengthening scan times. An alternative approach is using highly accelerated, free-breathing, real-time PC (rt-PC) MRI, which to date has not been evaluated in CHD patients. The purpose of this study was to develop a 38.4-fold accelerated 2D rt-PC pulse sequence using radial k-space sampling and compressed sensing with 1.5 × 1.5 × 6.0 mm

Indexed as

AlgorithmsMagnetic Resonance ImagingChildElectrocardiographyFeasibility StudiesFemaleHeart Defects, CongenitalHumansLinear ModelsMalePhantoms, Imagingcompressed sensingcongenital heart diseasepediatricsphase contrastreal time

Identifiers

PMID31977117
PMCPMC7165070
OpenAlexW3001112550

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.