Evidence map›Paper›PMID 30134000›Full record

ReviewJournal of magnetic resonance imaging : JMRI2018

Advanced cardiac MRI techniques for evaluation of left-sided valvular heart disease.

Carmen P S Blanken, Emile S Farag, S Matthijs Boekholdt, Tim Leiner, Jolanda Kluin, Aart J Nederveen, Pim van Ooij, R Nils Planken

Registry-linked trialOpen access · hybridAbstract readReview
In one paragraph

Review in Journal of magnetic resonance imaging : JMRI, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05808465 (Comparative Study Between Phase Contrast,Modified Simpson Rule and Myocardial Strain Analysis Methods of Cardiac MRI in Assessment of Estimated Corrected Ejection Fraction in Valvular Heart Disease.), which is not on this map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 6% 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.

NCT05808465 unknown statusnot on this mapstarted 2023, after this paper: background citation

Comparative Study Between Phase Contrast,Modified Simpson Rule and Myocardial Strain Analysis Methods of Cardiac MRI in Assessment of Estimated Corrected Ejection Fraction in Valvular Heart Disease.

TypeobservationalSponsorAssiut UniversityRan2023 to 2026Enrolled50ConditionsValvular Heart Disease Stenosis and Regurgitation
3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.

  1. Evaluation of aortic stenosis using cardiovascular magnetic resonance: a systematic review & meta-analysis.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2020
    Pooled it
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Rationale and clinical applications of 4D flow cardiovascular magnetic resonance in assessment of valvular heart disease: a comprehensive review.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2022
    Review
  10. Article
  11. Review
  12. Article
  13. Recent technologies in cardiac imaging.Frontiers in medical technology · 2022
    Review
  14. Review
  15. Review
  16. Article
  17. Article
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  19. Review
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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 at 2 institutions in 2 countries.

Carmen P S BlankenDepartment of Radiology and Nuclear Medicine, Academic Medical Center, Amsterdam, the Netherlands.
Emile S FaragDepartment of Cardiothoracic Surgery, Academic Medical Center, Amsterdam, the Netherlands.
S Matthijs BoekholdtDepartment of Cardiology, Academic Medical Center, Amsterdam, the Netherlands.
Tim LeinerDepartment of Radiology, University Medical Center, Utrecht, the Netherlands.
Jolanda KluinDepartment of Cardiothoracic Surgery, Academic Medical Center, Amsterdam, the Netherlands.
Aart J NederveenDepartment of Radiology and Nuclear Medicine, Academic Medical Center, Amsterdam, the Netherlands.
Pim van OoijDepartment of Radiology and Nuclear Medicine, Academic Medical Center, Amsterdam, the Netherlands.
R Nils PlankenDepartment of Radiology and Nuclear Medicine, Academic Medical Center, Amsterdam, the Netherlands.
Amsterdam UMC Location University of Amsterdam · NLUniversity Medical Center Utrecht · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The most common types of left-sided valvular heart disease (VHD) in the Western world are aortic valve stenosis, aortic valve regurgitation, and mitral valve regurgitation. Comprehensive clinical evaluation entails both hemodynamic analysis and structural as well as functional characterization of the left ventricle. Cardiac magnetic resonance imaging (MRI) is an established diagnostic modality for assessment of left-sided VHD and is progressively gaining ground in modern-day clinical practice. Detailed flow visualization and quantification of flow-related biomarkers in VHD can be obtained using 4D flow MRI, an imaging technique capable of measuring blood flow in three orthogonal directions over time. In addition, recent MRI sequences enable myocardial tissue characterization and strain analysis. In this review we discuss the emerging potential of state-of-the-art MRI including 4D flow MRI, tissue mapping, and strain quantification for the diagnosis and prognosis of left-sided VHD. LEVEL OF EVIDENCE: 1 Technical Efficacy Stage: 1 J. Magn. Reson. Imaging 2018. J. MAGN. RESON. IMAGING 2018;48:318-329.

Indexed as

Aortic Valve InsufficiencyAortic Valve StenosisBiomarkersEchocardiographyHeartHeart Valve DiseasesHeart ValvesHeart VentriclesHemodynamicsHumansImaging, Three-DimensionalKineticsMagnetic Resonance ImagingMitral Valve InsufficiencyPrognosisShear StrengthBiomarkers4D flow MRIhemodynamic imagingphase-contrast MRIstrain analysistissue mappingvalvular heart disease

Identifiers

PMID30134000
PMCPMC6667896
OpenAlexW2886154523

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

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.