Evidence map›Paper›PMID 25392819›Full record

ReviewQuantitative imaging in medicine and surgery2014

Real-time magnetic resonance imaging of cardiac function and flow-recent progress.

Shuo Zhang, Arun A Joseph, Dirk Voit, Sebastian Schaetz, Klaus-Dietmar Merboldt, Christina Unterberg-Buchwald, Anja Hennemuth, Joachim Lotz, Jens Frahm

Abstract readReview
In one paragraph

Review in Quantitative imaging in medicine and surgery, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 1 pooled it
–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

41 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Thermally Drawn Polymeric Catheters for MR-Guided Cardiovascular Intervention.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  9. Article
  10. Article
  11. The future of CMR: All-in-one vs. real-time CMR (Part 2).Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2024
    Review
  12. Article
  13. Review
  14. Article
  15. Golden-Angle Radial MRI: Basics, Advances, and Applications.Journal of magnetic resonance imaging : JMRI · 2022
    Review
  16. Article
  17. Review
  18. Article
  19. Review
  20. Magnetic resonance imaging for pathobiological assessment and interventional treatment of the coronary arteries.European heart journal supplements : journal of the European Society of Cardiology · 2020
    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.

Shuo Zhang1 Biomedizinische NMR Forschungs GmbH am Max-Planck-Institut für biophysikalische Chemie, Göttingen 37070, Germany ; 2 DZHK (German Cardiovascular Research Center), partner site Göttingen, Göttingen, Germany ; 3 Diagnostische und Interventionelle Radiologie, 4 Kardiologie und Pneumologie, Universitätsmedizin Göttingen, Göttingen 37075, Germany ; 5 Fraunhofer MEVIS Institute for Medical Image Computing, Bremen, Germany.
Arun A Joseph1 Biomedizinische NMR Forschungs GmbH am Max-Planck-Institut für biophysikalische Chemie, Göttingen 37070, Germany ; 2 DZHK (German Cardiovascular Research Center), partner site Göttingen, Göttingen, Germany ; 3 Diagnostische und Interventionelle Radiologie, 4 Kardiologie und Pneumologie, Universitätsmedizin Göttingen, Göttingen 37075, Germany ; 5 Fraunhofer MEVIS Institute for Medical Image Computing, Bremen, Germany.
Dirk Voit1 Biomedizinische NMR Forschungs GmbH am Max-Planck-Institut für biophysikalische Chemie, Göttingen 37070, Germany ; 2 DZHK (German Cardiovascular Research Center), partner site Göttingen, Göttingen, Germany ; 3 Diagnostische und Interventionelle Radiologie, 4 Kardiologie und Pneumologie, Universitätsmedizin Göttingen, Göttingen 37075, Germany ; 5 Fraunhofer MEVIS Institute for Medical Image Computing, Bremen, Germany.
Sebastian Schaetz1 Biomedizinische NMR Forschungs GmbH am Max-Planck-Institut für biophysikalische Chemie, Göttingen 37070, Germany ; 2 DZHK (German Cardiovascular Research Center), partner site Göttingen, Göttingen, Germany ; 3 Diagnostische und Interventionelle Radiologie, 4 Kardiologie und Pneumologie, Universitätsmedizin Göttingen, Göttingen 37075, Germany ; 5 Fraunhofer MEVIS Institute for Medical Image Computing, Bremen, Germany.
Klaus-Dietmar Merboldt1 Biomedizinische NMR Forschungs GmbH am Max-Planck-Institut für biophysikalische Chemie, Göttingen 37070, Germany ; 2 DZHK (German Cardiovascular Research Center), partner site Göttingen, Göttingen, Germany ; 3 Diagnostische und Interventionelle Radiologie, 4 Kardiologie und Pneumologie, Universitätsmedizin Göttingen, Göttingen 37075, Germany ; 5 Fraunhofer MEVIS Institute for Medical Image Computing, Bremen, Germany.
Christina Unterberg-Buchwald1 Biomedizinische NMR Forschungs GmbH am Max-Planck-Institut für biophysikalische Chemie, Göttingen 37070, Germany ; 2 DZHK (German Cardiovascular Research Center), partner site Göttingen, Göttingen, Germany ; 3 Diagnostische und Interventionelle Radiologie, 4 Kardiologie und Pneumologie, Universitätsmedizin Göttingen, Göttingen 37075, Germany ; 5 Fraunhofer MEVIS Institute for Medical Image Computing, Bremen, Germany.
Anja Hennemuth1 Biomedizinische NMR Forschungs GmbH am Max-Planck-Institut für biophysikalische Chemie, Göttingen 37070, Germany ; 2 DZHK (German Cardiovascular Research Center), partner site Göttingen, Göttingen, Germany ; 3 Diagnostische und Interventionelle Radiologie, 4 Kardiologie und Pneumologie, Universitätsmedizin Göttingen, Göttingen 37075, Germany ; 5 Fraunhofer MEVIS Institute for Medical Image Computing, Bremen, Germany.
Joachim Lotz1 Biomedizinische NMR Forschungs GmbH am Max-Planck-Institut für biophysikalische Chemie, Göttingen 37070, Germany ; 2 DZHK (German Cardiovascular Research Center), partner site Göttingen, Göttingen, Germany ; 3 Diagnostische und Interventionelle Radiologie, 4 Kardiologie und Pneumologie, Universitätsmedizin Göttingen, Göttingen 37075, Germany ; 5 Fraunhofer MEVIS Institute for Medical Image Computing, Bremen, Germany.
Jens Frahm1 Biomedizinische NMR Forschungs GmbH am Max-Planck-Institut für biophysikalische Chemie, Göttingen 37070, Germany ; 2 DZHK (German Cardiovascular Research Center), partner site Göttingen, Göttingen, Germany ; 3 Diagnostische und Interventionelle Radiologie, 4 Kardiologie und Pneumologie, Universitätsmedizin Göttingen, Göttingen 37075, Germany ; 5 Fraunhofer MEVIS Institute for Medical Image Computing, Bremen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiac structure, function and flow are most commonly studied by ultrasound, X-ray and magnetic resonance imaging (MRI) techniques. However, cardiovascular MRI is hitherto limited to electrocardiogram (ECG)-synchronized acquisitions and therefore often results in compromised quality for patients with arrhythmias or inabilities to comply with requested protocols-especially with breath-holding. Recent advances in the development of novel real-time MRI techniques now offer dynamic imaging of the heart and major vessels with high spatial and temporal resolution, so that examinations may be performed without the need for ECG synchronization and during free breathing. This article provides an overview of technical achievements, physiological validations, preliminary patient studies and translational aspects for a future clinical scenario of cardiovascular MRI in real time.

Indexed as

arrhythmiasblood flowcardiac functioncardiovascular imagingReal-time magnetic resonance imaging (MRI)

Identifiers

PMID25392819
PMCPMC4213425

What OpenQuestion holds

Textmetadata
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.