Evidence map›Paper›PMID 26944696›Full record

ReviewClinical radiology2016

Advanced flow MRI: emerging techniques and applications.

M Markl, S Schnell, C Wu, E Bollache, K Jarvis, A J Barker, J D Robinson, C K Rigsby

Abstract readReview
In one paragraph

Review in Clinical radiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing 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

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

  1. 4D flow MRI for non-invasive measurement of blood flow in the brain: A systematic review.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2021
    Pooled it
  2. Article
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  6. Review
  7. Review
  8. Review
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  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. 4D Flow cardiovascular magnetic resonance consensus statement: 2023 update.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2023
    Review
  16. Review
  17. Article
  18. Article
  19. Review
  20. 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.

M MarklDepartment of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA; Department Biomedical Engineering, McCormick School of Engineering, Northwestern University, Evanston, IL, USA. Electronic address: mmarkl@northwestern.edu.
S SchnellDepartment of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
C WuDepartment of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA; Department Biomedical Engineering, McCormick School of Engineering, Northwestern University, Evanston, IL, USA.
E BollacheDepartment of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
K JarvisDepartment of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA; Department Biomedical Engineering, McCormick School of Engineering, Northwestern University, Evanston, IL, USA.
A J BarkerDepartment of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
J D RobinsonDepartment of Pediatrics, Division of Pediatric Cardiology, Ann & Robert H Lurie Children's Hospital of Chicago, Chicago, IL, USA; Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
C K RigsbyDepartment of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA; Department of Medical Imaging, Ann & Robert H Lurie Children's Hospital of Chicago, Chicago, IL, USA.

Funding

Functional Cardiovascular 4D MRI in Congenital Heart DiseaseR01HL115828 · NHLBI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI MARKL, MICHAEL, RIGSBY, CYNTHIA K · 2012 to 2021
$5.2M
Hemodynamic Loading of the Left Ventricle and Aorta in Aortic Valve DiseaseK25HL119608 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI BARKER, ALEXANDER J. · 2014 to 2018
$819k
NHLBI NIH HHS K25 HL119608NHLBI NIH HHS R01 HL115828
6 · The paper itself

Abstract

Magnetic resonance imaging (MRI) techniques provide non-invasive and non-ionising methods for the highly accurate anatomical depiction of the heart and vessels throughout the cardiac cycle. In addition, the intrinsic sensitivity of MRI to motion offers the unique ability to acquire spatially registered blood flow simultaneously with the morphological data, within a single measurement. In clinical routine, flow MRI is typically accomplished using methods that resolve two spatial dimensions in individual planes and encode the time-resolved velocity in one principal direction, typically oriented perpendicular to the two-dimensional (2D) section. This review describes recently developed advanced MRI flow techniques, which allow for more comprehensive evaluation of blood flow characteristics, such as real-time flow imaging, 2D multiple-venc phase contrast MRI, four-dimensional (4D) flow MRI, quantification of complex haemodynamic properties, and highly accelerated flow imaging. Emerging techniques and novel applications are explored. In addition, applications of these new techniques for the improved evaluation of cardiovascular (aorta, pulmonary arteries, congenital heart disease, atrial fibrillation, coronary arteries) as well as cerebrovascular disease (intra-cranial arteries and veins) are presented.

Indexed as

Cardiovascular DiseasesCerebrovascular DisordersHumansImage EnhancementImage Interpretation, Computer-AssistedImaging, Three-DimensionalMagnetic Resonance AngiographyMagnetic Resonance Imaging, Cine

Identifiers

PMID26944696
PMCPMC4930408

What OpenQuestion holds

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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.