Evidence map›Paper›PMID 25429331›Full record

ReviewWorld journal of cardiology2014

Magnetic resonance imaging and multi-detector computed tomography assessment of extracellular compartment in ischemic and non-ischemic myocardial pathologies.

Maythem Saeed, Steven W Hetts, Robert Jablonowski, Mark W Wilson

Open access · hybridAbstract readReview
In one paragraph

Review in World journal of cardiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 3 pooled it
3.0field-weighted citation impact, top 10% 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

8 citing papers in PubMed, 3 syntheses or guidelines pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. The role of Cardiac Magnetic Resonance (CMR) in the diagnosis of cardiomyopathy: A systematic review.Malawi medical journal : the journal of Medical Association of Malawi · 2019
    Pooled it
  3. The role of cardiac magnetic resonance (CMR) in the diagnosis of cardiomyopathy: A systematic review.Malawi medical journal : the journal of Medical Association of Malawi · 2018
    Pooled it
  4. Article
  5. Review
  6. Article
  7. Review
  8. Magnetic resonance imaging for characterizing myocardial diseases.The international journal of cardiovascular imaging · 2017
    Review
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

4 authors at 1 institution in 1 country.

Maythem SaeedMaythem Saeed, Steven W Hetts, Robert Jablonowski, Mark W Wilson, Department of Radiology and Biomedical Imaging, School of Medicine, University of California San Francisco, San Francisco, CA 94107-5705, United States.
Steven W HettsMaythem Saeed, Steven W Hetts, Robert Jablonowski, Mark W Wilson, Department of Radiology and Biomedical Imaging, School of Medicine, University of California San Francisco, San Francisco, CA 94107-5705, United States.
Robert JablonowskiMaythem Saeed, Steven W Hetts, Robert Jablonowski, Mark W Wilson, Department of Radiology and Biomedical Imaging, School of Medicine, University of California San Francisco, San Francisco, CA 94107-5705, United States.
Mark W WilsonMaythem Saeed, Steven W Hetts, Robert Jablonowski, Mark W Wilson, Department of Radiology and Biomedical Imaging, School of Medicine, University of California San Francisco, San Francisco, CA 94107-5705, United States.
University of California, San Francisco · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Myocardial pathologies are major causes of morbidity and mortality worldwide. Early detection of loss of cellular integrity and expansion in extracellular volume (ECV) in myocardium is critical to initiate effective treatment. The three compartments in healthy myocardium are: intravascular (approximately 10% of tissue volume), interstitium (approximately 15%) and intracellular (approximately 75%). Myocardial cells, fibroblasts and vascular endothelial/smooth muscle cells represent intracellular compartment and the main proteins in the interstitium are types I/III collagens. Microscopic studies have shown that expansion of ECV is an important feature of diffuse physiologic fibrosis (e.g., aging and obesity) and pathologic fibrosis [heart failure, aortic valve disease, hypertrophic cardiomyopathy, myocarditis, dilated cardiomyopathy, amyloidosis, congenital heart disease, aortic stenosis, restrictive cardiomyopathy (hypereosinophilic and idiopathic types), arrythmogenic right ventricular dysplasia and hypertension]. This review addresses recent advances in measuring of ECV in ischemic and non-ischemic myocardial pathologies. Magnetic resonance imaging (MRI) has the ability to characterize tissue proton relaxation times (T1, T2, and T2*). Proton relaxation times reflect the physical and chemical environments of water protons in myocardium. Delayed contrast enhanced-MRI (DE-MRI) and multi-detector computed tomography (DE-MDCT) demonstrated hyper-enhanced infarct, hypo-enhanced microvascular obstruction zone and moderately enhanced peri-infarct zone, but are limited for visualizing diffuse fibrosis and patchy microinfarct despite the increase in ECV. ECV can be measured on equilibrium contrast enhanced MRI/MDCT and MRI longitudinal relaxation time mapping. Equilibrium contrast enhanced MRI/MDCT and MRI T1 mapping is currently used, but at a lower scale, as an alternative to invasive sub-endomyocardial biopsies to eliminate the need for anesthesia, coronary catheterization and possibility of tissue sampling error. Similar to delayed contrast enhancement, equilibrium contrast enhanced MRI/MDCT and T1 mapping is completely noninvasive and may play a specialized role in diagnosis of subclinical and other myocardial pathologies. DE-MRI and when T1-mapping demonstrated sub-epicardium, sub-endocardial and patchy mid-myocardial enhancement in myocarditis, Behcet's disease and sarcoidosis, respectively. Furthermore, recent studies showed that the combined technique of cine, T2-weighted and DE-MRI technique has high diagnostic accuracy for detecting myocarditis. When the tomographic techniques are coupled with myocardial perfusion and left ventricular function they can provide valuable information on the progression of myocardial pathologies and effectiveness of new therapies.

Indexed as

Cellular compartmentsContrast mediaIschemic/non-ischemic heart diseasesMagnetic resonance imagingMulti-detector computed tomographyMyocardial viability

Identifiers

PMID25429331
PMCPMC4244616
OpenAlexW1968706463

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.