Evidence map›Paper›PMID 28122618›Full record

ArticleJournal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance2017

Submillimeter diffusion tensor imaging and late gadolinium enhancement cardiovascular magnetic resonance of chronic myocardial infarction.

Farhad Pashakhanloo, Daniel A Herzka, Susumu Mori, Muz Zviman, Henry Halperin, Neville Gai, David A Bluemke, Natalia A Trayanova, Elliot R McVeigh

Open access · goldAbstract read
In one paragraph

Article in Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
6.3field-weighted citation impact, top 3% 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

37 citing papers in PubMed, 56 citations in OpenAlex.

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  13. Myocardial mesostructure and mesofunction.American journal of physiology. Heart and circulatory physiology · 2022
    Review
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  15. Article
  16. Diffusion biomarkers in chronic myocardial infarction.Functional imaging and modeling of the heart : ... International Workshop, FIMH ..., proceedings. FIMH (Conference) · 2021
    Article
  17. Review
  18. Anisotropic Cardiac Conduction.Arrhythmia & electrophysiology review · 2020
    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

9 authors at 2 institutions in 1 country.

Farhad PashakhanlooDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
Daniel A HerzkaDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
Susumu MoriDepartment of Radiology, Johns Hopkins University, Baltimore, MD, USA.
Muz ZvimanDepartment of Medicine, Johns Hopkins University, Baltimore, MD, USA.
Henry HalperinDepartment of Medicine, Johns Hopkins University, Baltimore, MD, USA.
Neville GaiRadiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, MD, USA.
David A BluemkeRadiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, MD, USA.
Natalia A TrayanovaDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
Elliot R McVeighDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA. emcveigh@ucsd.edu.
Johns Hopkins University · USNational Institutes of Health Clinical Center · US

Funding

Improved Targeting and Assessment of Electrophysiology InterventionR01HL094610 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI HALPERIN, HENRY R · 2009 to 2018
$15.5M
Molecular Biomedical Imaging Laboratory (NIBIB)ZIAEB000072 · NIBIB · NATIONAL INSTITUTE OF BIOMEDICAL IMAGING AND BIOENGINEERING · PI BLUEMKE, DAVID · 2010 to 2017
$5.0M
Virtual Electrophysiology LaboratoryDP1HL123271 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI TRAYANOVA, NATALIA A. · 2013 to 2017
$4.0M
Exploration of Arrhythmogenic Triggers and Substrates in Heart FailureR01HL126802 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI EFIMOV, IGOR R, GORELIK, JULIA · 2016 to 2019
$2.8M
NHLBI NIH HHS DP1 HL123271NHLBI NIH HHS R01 HL094610NHLBI NIH HHS R01 HL126802
6 · The paper itself

Abstract

backgroundKnowledge of the three-dimensional (3D) infarct structure and fiber orientation remodeling is essential for complete understanding of infarct pathophysiology and post-infarction electromechanical functioning of the heart. Accurate imaging of infarct microstructure necessitates imaging techniques that produce high image spatial resolution and high signal-to-noise ratio (SNR). The aim of this study is to provide detailed reconstruction of 3D chronic infarcts in order to characterize the infarct microstructural remodeling in porcine and human hearts.

methodsWe employed a customized diffusion tensor imaging (DTI) technique in conjunction with late gadolinium enhancement (LGE) cardiovascular magnetic resonance (CMR) on a 3T clinical scanner to image, at submillimeter resolution, myofiber orientation and scar structure in eight chronically infarcted porcine hearts ex vivo. Systematic quantification of local microstructure was performed and the chronic infarct remodeling was characterized at different levels of wall thickness and scar transmurality. Further, a human heart with myocardial infarction was imaged using the same DTI sequence.

resultsThe SNR of non-diffusion-weighted images was >100 in the infarcted and control hearts. Mean diffusivity and fractional anisotropy (FA) demonstrated a 43% increase, and a 35% decrease respectively, inside the scar tissue. Despite this, the majority of the scar showed anisotropic structure with FA higher than an isotropic liquid. The analysis revealed that the primary eigenvector orientation at the infarcted wall on average followed the pattern of original fiber orientation (imbrication angle mean: 1.96 ± 11.03° vs. 0.84 ± 1.47°, p = 0.61, and inclination angle range: 111.0 ± 10.7° vs. 112.5 ± 6.8°, p = 0.61, infarcted/control wall), but at a higher transmural gradient of inclination angle that increased with scar transmurality (r = 0.36) and the inverse of wall thickness (r = 0.59). Further, the infarcted wall exhibited a significant increase in both the proportion of left-handed epicardial eigenvectors, and in the angle incoherency. The infarcted human heart demonstrated preservation of primary eigenvector orientation at the thinned region of infarct, consistent with the findings in the porcine hearts.

conclusionsThe application of high-resolution DTI and LGE-CMR revealed the detailed organization of anisotropic infarct structure at a chronic state. This information enhances our understanding of chronic post-infarction remodeling in large animal and human hearts.

Indexed as

Diffusion Tensor ImagingAged, 80 and overAnimalsAnisotropyChronic DiseaseContrast MediaDisease Models, AnimalFemaleFibrosisGadolinium DTPAHumansImage Interpretation, Computer-AssistedImaging, Three-DimensionalMagnetic Resonance ImagingMyocardial InfarctionMyocardiumContrast MediaGadolinium DTPADiffusion tensor imagingFiber structureLate gadolinium enhancementMicrostructural remodelingMyocardial infarction

Identifiers

PMID28122618
PMCPMC5264305
OpenAlexW2582713962

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.