Evidence map›Paper›PMID 26313531›Full record

ArticleComputers in biology and medicine2015

Quantitative assessment of myocardial fibrosis in an age-related rat model by ex vivo late gadolinium enhancement magnetic resonance imaging with histopathological correlation.

Pascale Beliveau, Farida Cheriet, Stasia A Anderson, Joni L Taylor, Andrew E Arai, Li-Yueh Hsu

Abstract read
In one paragraph

Article in Computers in biology and medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

12 citing papers in PubMed, 19 citations in OpenAlex.

  1. Review
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  4. Article
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  8. Machine learning in cardiovascular magnetic resonance: basic concepts and applications.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2019
    Review
  9. Article
  10. Observational
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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

6 authors at 2 institutions in 2 countries.

Pascale BeliveauNational Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA; Institute of Biomedical Engineering, Ecole Polytechnique of Montreal, Montreal, Canada.
Farida CherietInstitute of Biomedical Engineering, Ecole Polytechnique of Montreal, Montreal, Canada.
Stasia A AndersonNational Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA.
Joni L TaylorNational Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA.
Andrew E AraiNational Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA.
Li-Yueh HsuNational Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA. Electronic address: lyhsu@mail.nih.gov.
National Institutes of Health · USPolytechnique Montréal · CA

Funding

NHLBI Animal Program DivisionZIGHL006020 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI CLARK, TANNIA · 2009 to 2025
$47.3M
Technical Development of Diagnostic Cardiovascular MRIZIAHL004607 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI ARAI, ANDREW · 2009 to 2020
$25.3M
Area at Risk, Myocardial Infarction, and Myocardial SalvageZIAHL006136 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI ARAI, ANDREW · 2011 to 2020
$7.3M
Animal MRI/Imaging CoreZICHL005909 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI ANDERSON, STASIA · 2010 to 2019
$5.3M
Intramural NIH HHS Z99 HL999999
6 · The paper itself

Abstract

Late gadolinium enhanced (LGE) cardiac magnetic resonance (CMR) imaging can detect the presence of myocardial infarction from ischemic cardiomyopathies (ICM). However, it is more challenging to detect diffuse myocardial fibrosis from non-ischemic cardiomyopathy (NICM) with this technique due to more subtle and heterogeneous enhancement of the myocardium. This study investigates whether high-resolution LGE CMR can detect age-related myocardial fibrosis using quantitative texture analysis with histological validation. LGE CMR of twenty-four rat hearts (twelve 6-week-old and twelve 2-year-old) was performed using a 7T MRI scanner. Picrosirius red was used as the histopathology reference for collagen staining. Fibrosis in the myocardium was quantified with standard deviation (SD) threshold methods from the LGE CMR images and 3D contrast texture maps that were computed from gray level co-occurrence matrix of the CMR images. There was a significant increase of collagen fibers in the aged compared to the young rat histology slices (2.60±0.27 %LV vs. 1.24±0.29 %LV, p<0.01). Both LGE CMR and texture images showed a significant increase of myocardial fibrosis in the elderly compared to the young rats. Fibrosis in the LGE CMR images correlated strongly with histology with the 3 SD threshold (r=0.84, y=0.99x+0.00). Similarly, fibrosis in the contrast texture maps correlated with the histology using the 4 SD threshold (r=0.89, y=1.01x+0.00). High resolution ex-vivo LGE CMR can detect the presence of diffuse fibrosis that naturally developed in elderly rat hearts. Our results suggest that texture analysis may improve the assessment of myocardial fibrosis in LGE CMR images.

Indexed as

Magnetic Resonance ImagingAgingAnimalsContrast MediaFibrosisGadoliniumHumansImage Processing, Computer-AssistedMaleMyocardial InfarctionMyocardiumRadiographyRatsRats, Inbred F344Contrast MediaGadoliniumAgingComputer quantificationDiffuse myocardial fibrosisGadoliniumMagnetic resonance imagingTexture analysis

Identifiers

PMID26313531
PMCPMC4591214
OpenAlexW2099534711

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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.