Evidence map›Paper›PMID 31748945›Full record

ArticleThe international journal of cardiovascular imaging2020

Verification of threshold for image intensity ratio analyses of late gadolinium enhancement magnetic resonance imaging of left atrial fibrosis in 1.5T scans.

Litten Bertelsen, Francisco Alarcón, Laura Andreasen, Eva Benito, Morten Salling Olesen, Niels Vejlstrup, Lluis Mont, Jesper Hastrup Svendsen

Open access · hybridAbstract readComparative Study
In one paragraph

Article in The international journal of cardiovascular imaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

20 citing papers in PubMed, 31 citations in OpenAlex.

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  16. Applications of multimodality imaging for left atrial catheter ablation.European heart journal. Cardiovascular Imaging · 2021
    Review
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  19. Impaired left atrial reservoir and conduit strain in patients with atrial fibrillation and extensive left atrial fibrosis.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2021
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  20. 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

8 authors at 2 institutions in 2 countries.

Litten BertelsenDepartment of Cardiology, Centre for Cardiac-, Vascular-, Pulmonary and Infectious Diseases, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark. littenbertelsen@gmail.com.ORCID http://orcid.org/0000-0001-7852-6537
Francisco AlarcónDepartment of Cardiology, Unitat de Fibril.lació Auricular (UFA) Hospital Clinic, University of Barcelona, Barcelona, Spain.
Laura AndreasenDepartment of Cardiology, Centre for Cardiac-, Vascular-, Pulmonary and Infectious Diseases, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.
Eva BenitoDepartment of Cardiology, Unitat de Fibril.lació Auricular (UFA) Hospital Clinic, University of Barcelona, Barcelona, Spain.
Morten Salling OlesenDepartment of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark.
Niels VejlstrupDepartment of Cardiology, Centre for Cardiac-, Vascular-, Pulmonary and Infectious Diseases, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.
Lluis MontDepartment of Cardiology, Unitat de Fibril.lació Auricular (UFA) Hospital Clinic, University of Barcelona, Barcelona, Spain.
Jesper Hastrup SvendsenDepartment of Cardiology, Centre for Cardiac-, Vascular-, Pulmonary and Infectious Diseases, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.
University of Copenhagen · DKConsorci Institut D'Investigacions Biomediques August Pi I Sunyer · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of cardiovascular magnetic resonance imaging left atrial late gadolinium enhancement (LA LGE) is increasing for fibrosis evaluation though the use is still limited to specialized centres due to complex image acquisition and lack of consensus on image analyses. Analysis of LA LGE with image intensity ratio (IIR) (pixel intensity of atrial wall normalized by blood pool intensity) provides an objective method to obtain quantitative data on atrial fibrosis. A threshold between healthy myocardium and fibrosis of 1.2 has previously been established in 3T scans. The aim of the study was to reaffirm this threshold in 1.5T scans. LA LGE was performed using a 1.5T magnetic resonance scanner on: 11 lone-AF patients, 11 age-matched healthy volunteers (aged 27-44) and 11 elderly patients without known history of AF but varying degrees of comorbidities. Mean values of IIR for all healthy volunteers +2SD were set as upper limit of normality and was reproduced to 1.21 and the original IIR-threshold of 1.20 was maintained. The degree of fibrosis in lone-AF patients [median 9.0% (IQR 3.9-12.0)] was higher than in healthy volunteers [2.8% (1.3-8.3)] and even higher in elderly non-AF [20.1% (10.2-35.8), p = 0.001]. The previously established IIR-threshold of 1.2 was reaffirmed in 1.5T LA LGE scans. Patients with lone AF presented with increased degrees of atrial fibrosis compared to healthy volunteers in the same age-range. Elderly patients with no history of AF showed significantly higher degrees of fibrosis compared to both groups with younger individuals.

Indexed as

Atrial Function, LeftAtrial RemodelingMagnetic Resonance Imaging, CineAdultAgedAged, 80 and overAge FactorsAtrial FibrillationCase-Control StudiesContrast MediaFemaleFibrosisHeart AtriaHumansMaleOrganometallic CompoundsContrast MediagadobutrolOrganometallic CompoundsAtrial fibrillationAtrial fibrosesCardiac magnetic resonance imagingImage intensity ratioLeft atrial late gadolinium enhancement

Identifiers

PMID31748945
PMCPMC7080681
OpenAlexW2990627722

What OpenQuestion holds

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LicenceCC BY
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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.