Evidence map›Paper›PMID 26484848›Full record

ReviewNMR in biomedicine2017

Diffusion MRI in the heart.

Choukri Mekkaoui, Timothy G Reese, Marcel P Jackowski, Himanshu Bhat, David E Sosnovik

Open access · bronzeAbstract readReview
In one paragraph

Review in NMR in biomedicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
6.0field-weighted citation impact, top 4% 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

49 citing papers in PubMed, 92 citations in OpenAlex.

  1. Diffusion MRI of the Body: Beyond PGSE-EPI.Journal of magnetic resonance imaging : JMRI · 2026
    Review
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  7. Accelerating cardiac diffusion tensor imaging with deep learning-based tensor de-noising and breath hold reduction. A step towards improved efficiency and clinical feasibility.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2025
    Article
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  17. Diffusion-weighted imaging and diffusion tensor imaging of the heartPostepy w kardiologii interwencyjnej = Advances in interventional cardiology · 2022
    Review
  18. Article
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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

5 authors at 4 institutions in 2 countries.

Choukri MekkaouiAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Timothy G ReeseAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Marcel P JackowskiDepartment of Computer Science, Institute of Mathematics and Statistics, University of São Paulo, São Paulo, Brazil.
Himanshu BhatSiemens Healthcare, Charlestown, MA, USA.
David E SosnovikAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Massachusetts General Hospital · USHarvard University · USSiemens Healthcare (United States) · USUniversidade de São Paulo · BR

Funding

ULTRAHIGH FIELD TECHNOLOGY FOR FUNCTIONAL IMAGINGP41RR014075 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI ROSEN, BRUCE R · 1999 to 2011
$16.4M
Cardiac MRI-Tractography In Vivo: Integrated Imaging of Structure and FunctionR01HL112831 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI SOSNOVIK, DAVID E · 2013 to 2016
$3.0M
Molecular and Microstructural Imaging of Cardiomyocyte Apoptosis and AutophagyR01HL093038 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI SOSNOVIK, DAVID E · 2008 to 2012
$2.2M
NCRR NIH HHS P41 RR014075NHLBI NIH HHS R01 HL093038NHLBI NIH HHS R01 HL112831
6 · The paper itself

Abstract

Diffusion MRI provides unique information on the structure, organization, and integrity of the myocardium without the need for exogenous contrast agents. Diffusion MRI in the heart, however, has proven technically challenging because of the intrinsic non-rigid deformation during the cardiac cycle, displacement of the myocardium due to respiratory motion, signal inhomogeneity within the thorax, and short transverse relaxation times. Recently developed accelerated diffusion-weighted MR acquisition sequences combined with advanced post-processing techniques have improved the accuracy and efficiency of diffusion MRI in the myocardium. In this review, we describe the solutions and approaches that have been developed to enable diffusion MRI of the heart in vivo, including a dual-gated stimulated echo approach, a velocity- (M

Indexed as

AnimalsCardiac Imaging TechniquesDiffusion Magnetic Resonance ImagingEvidence-Based MedicineHeartHumansImage EnhancementMyocardial IschemiaReproducibility of ResultsSensitivity and SpecificitydiffusionheartischemiaMRImyocardiummyofiber architecturetensortractography

Identifiers

PMID26484848
PMCPMC5333463
OpenAlexW2107342296

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.