Evidence map›Paper›PMID 30296279›Full record

ArticlePloS one2018

Differentiation and quantification of fibrosis, fat and fatty fibrosis in human left atrial myocardium using ex vivo MRI.

Khaoula Bouazizi, Amer Rahhal, Slawomir Kusmia, Morgane Evin, Carine Defrance, Philippe Cluzel, Myriam Berthet, Fabrice Atassi, Pascal Leprince, Guillaume Lebreton and 3 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

13 citing papers in PubMed, 19 citations in OpenAlex.

  1. Atorvastatin and left atrial function during anthracycline-based chemotherapy.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2025
    Trial
  2. Article
  3. Article
  4. Review
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  6. Left Atrial Cardiomyopathy - A Challenging Diagnosis.Frontiers in cardiovascular medicine · 2022
    Review
  7. Adipose tissue fibrosis assessed by high resolutionQuantitative imaging in medicine and surgery · 2021
    Article
  8. Article
  9. Article
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  12. 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

13 authors at 2 institutions in 1 country.

Khaoula BouaziziInstitute of Cardiometabolism And Nutrition, La Pitié-Salpêtrière Hospital, Paris, France.ORCID 0000-0001-9492-4703
Amer RahhalSorbonne University, Faculté de médecine, UMRS 1166, Research unit on cardiovascular, metabolic and nutrition diseases, Paris, France.
Slawomir KusmiaInstitute of Cardiometabolism And Nutrition, La Pitié-Salpêtrière Hospital, Paris, France.
Morgane EvinInstitute of Cardiometabolism And Nutrition, La Pitié-Salpêtrière Hospital, Paris, France.
Carine DefranceDepartment of cardiovascular and thoracic surgery, Cardiology Institute, La Pitié-Salpêtrière Hospital AP-HP, Paris, France.
Philippe CluzelInstitute of Cardiometabolism And Nutrition, La Pitié-Salpêtrière Hospital, Paris, France.
Myriam BerthetSorbonne University, Faculté de médecine, UMRS 1166, Research unit on cardiovascular, metabolic and nutrition diseases, Paris, France.
Fabrice AtassiSorbonne University, Faculté de médecine, UMRS 1166, Research unit on cardiovascular, metabolic and nutrition diseases, Paris, France.
Pascal LeprinceDepartment of cardiovascular and thoracic surgery, Cardiology Institute, La Pitié-Salpêtrière Hospital AP-HP, Paris, France.
Guillaume LebretonDepartment of cardiovascular and thoracic surgery, Cardiology Institute, La Pitié-Salpêtrière Hospital AP-HP, Paris, France.
Nadjia KachenouraSorbonne University, INSERM 1146, CNRS 7371, Laboratoire d'Imagerie Biomédicale, Paris, France.
Stéphane N HatemInstitute of Cardiometabolism And Nutrition, La Pitié-Salpêtrière Hospital, Paris, France.
Alban RedheuilInstitute of Cardiometabolism And Nutrition, La Pitié-Salpêtrière Hospital, Paris, France.
Sorbonne Université · FRCentre National de la Recherche Scientifique · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAtrial fibrillation is associated with an atrial cardiomyopathy composed mainly of fibrosis and adipose tissue accumulation. We hypothesized that MRI, when used in an optimal ex vivo setting allowing high spatial resolution without motion artifacts, can help characterizing the complex 3D left atrial (LA) wall composition in human myocardial samples, as compared to histology.

methodsThis prospective case-control study was approved by the institutional review board. 3D MRI acquisitions including saturation-recovery T1 mapping and DIXON imaging was performed at 4.0 T on 9 human LA samples collected from patients who underwent cardiac surgery. Histological quantification of fibrosis and fat was obtained. MRI T1 maps were clustered based on a Gaussian Mixture Model allowing quantification of total, interstitial and fatty fibrosis components. Fat maps were computed from DIXON images and fat fractions were calculated. MRI measurements were performed on the same location as the histological analysis (plane) and on the entire sample volume (3D).

resultsHigh correlations and levels of agreement were observed between MRI and histology for total (r = 0.93), interstitial (r = 0.93) and fatty fibrosis (r = 0.98) and fat (r = 0.96). Native T1 correlated with the amount of fibrosis from MRI and histology. The 3D MRI total, interstitial and fatty fibrosis ranges were between 6% and 23%, 4% and 17.3%; and 1.4% and 19.7% respectively.

conclusionHigh Field ex vivo MRI was able to quantify different LA myocardial components with high agreement in 2D with histology and moreover to provide 3D quantification of such components whereas in vivo application remains a challenge.

Indexed as

Magnetic Resonance ImagingAdipose TissueCase-Control StudiesDiagnosis, DifferentialFibrosisHeart AtriaHeart DiseasesHumansImage Interpretation, Computer-AssistedImaging, Three-DimensionalMyocardiumProspective Studies

Identifiers

PMID30296279
PMCPMC6175289
OpenAlexW2895489514

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.