Evidence map›Paper›PMID 25081734›Full record

ArticleMagnetic resonance in medicine2015

Assessment of liver fibrosis using fast strain-encoded MRI driven by inherent cardiac motion.

Ahmed A Harouni, Ahmed M Gharib, Nael F Osman, Caryn Morse, Theo Heller, Khaled Z Abd-Elmoniem

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Liver Fibrosis Quantification by Magnetic Resonance Imaging.Topics in magnetic resonance imaging : TMRI · 2017
    Review
  6. 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

6 authors.

Ahmed A HarouniImaging Sciences Training Program, The National Institute of Biomedical Imaging and Bioengineering, The National Institutes of Health, Bethesda, Maryland, USA.
Ahmed M GharibBiomedical and Metabolic Imaging Branch, The National Institute of Diabetes and Digestive and Kidney Diseases, The National Institutes of Health, Bethesda, Maryland, USA.
Nael F OsmanRussell H. Morgan Department of Radiology and Radiological Sciences, Division of MR Research, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Caryn MorseCritical Care Medicine Department, Clinical Research Center, The National Institutes of Health, Bethesda, Maryland, USA.
Theo HellerLiver Diseases Branch, The National Institute of Diabetes and Digestive and Kidney Diseases, The National Institutes of Health, Bethesda, Maryland, USA.
Khaled Z Abd-ElmoniemBiomedical and Metabolic Imaging Branch, The National Institute of Diabetes and Digestive and Kidney Diseases, The National Institutes of Health, Bethesda, Maryland, USA.

Funding

Advanced Non Invasive Vascular Imaging MethodsZIADK075083 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI GHARIB, AHMED · 2013 to 2025
$34.7M
Investigation of management and disease manifestations of viral hepatitisZIADK054514 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI HELLER, THEO · 2009 to 2025
$12.9M
Intramural NIH HHS Z99 DK999999Intramural NIH HHS ZIA DK075083
6 · The paper itself

Abstract

purposeAn external driver-free MRI method for assessment of liver fibrosis offers a promising noninvasive tool for diagnosis and monitoring of liver disease. Lately, the heart's intrinsic motion and MR tagging have been utilized for the quantification of liver strain. However, MR tagging requires multiple breath-hold acquisitions and substantial postprocessing. In this study, we propose the use of a fast strain-encoded (FSENC) MRI method to measure the peak strain (S

methodsPhantom and in vivo experiments (11 healthy subjects and 11 patients with liver fibrosis) were conducted. Reproducibility experiments were performed in seven healthy subjects.

resultsPeak liver strain, S

conclusionAccelerated external driver-free noninvasive assessment of left liver lobe strain and SWV is feasible using strain-encoded MRI. The two measures significantly separate healthy subjects from patients with fibrotic liver. Magn Reson Med 74:106-114, 2015. © 2014 Wiley Periodicals, Inc.

Indexed as

fibrosisliver motionliver stiffnessSENCstrain-encoded MRI

Identifiers

PMID25081734
PMCPMC4312549

What OpenQuestion holds

Textmetadata
LicenceTDM
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.