Evidence map›Paper›PMID 34362058›Full record

ArticleJournal of clinical medicine2021

Compressed Sensing Real-Time Cine Reduces CMR Arrhythmia-Related Artifacts.

Benjamin Longère, Paul-Edouard Allard, Christos V Gkizas, Augustin Coisne, Justin Hennicaux, Arianna Simeone, Michaela Schmidt, Christoph Forman, Solenn Toupin, David Montaigne and 1 more

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  10. Clinical feasibility of two cardiac deep learning cine magnetic resonance imaging sequences: Single-breath-hold and free-breathing motion-corrected approaches.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2025
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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

11 authors.

Benjamin LongèreUniversity of Lille, Inserm, CHU Lille, Institut Pasteur Lille, U1011-European Genomic Institute for Diabetes (EGID), F-59000 Lille, France.ORCID 0000-0002-0340-5404
Paul-Edouard AllardCHU Lille, Department of Cardiovascular Radiology, F-59000 Lille, France.
Christos V GkizasCHU Lille, Department of Cardiovascular Radiology, F-59000 Lille, France.
Augustin CoisneUniversity of Lille, Inserm, CHU Lille, Institut Pasteur Lille, U1011-European Genomic Institute for Diabetes (EGID), F-59000 Lille, France.ORCID 0000-0002-1662-7874
Justin HennicauxCHU Lille, Department of Cardiovascular Radiology, F-59000 Lille, France.
Arianna SimeoneCHU Lille, Department of Cardiovascular Radiology, F-59000 Lille, France.
Michaela SchmidtMR Product Innovation and Definition, Magnetic Resonance, Siemens Healthcare GmbH, 91052 Erlangen, Germany.
Christoph FormanMR Product Innovation and Definition, Magnetic Resonance, Siemens Healthcare GmbH, 91052 Erlangen, Germany.ORCID 0000-0002-8165-0640
Solenn ToupinScientific Partnerships, Siemens Healthcare France, 93200 Saint-Denis, France.
David MontaigneUniversity of Lille, Inserm, CHU Lille, Institut Pasteur Lille, U1011-European Genomic Institute for Diabetes (EGID), F-59000 Lille, France.ORCID 0000-0002-2346-863X
François PontanaUniversity of Lille, Inserm, CHU Lille, Institut Pasteur Lille, U1011-European Genomic Institute for Diabetes (EGID), F-59000 Lille, France.ORCID 0000-0001-5316-7101

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectiveCardiac magnetic resonance (CMR) is a key tool for cardiac work-up. However, arrhythmia can be responsible for arrhythmia-related artifacts (ARA) and increased scan time using segmented sequences. The aim of this study is to evaluate the effect of cardiac arrhythmia on image quality in a comparison of a compressed sensing real-time (CS

methodsA total of 71 consecutive adult patients (41 males; mean age = 59.5 ± 20.1 years (95% CI: 54.7-64.2 years)) referred for CMR examination with concomitant irregular heart rate (defined by an RR interval coefficient of variation >10%) during scanning were prospectively enrolled. For each patient, two cine sequences were systematically acquired: first, the reference prospectively triggered multi-breath-hold Cine

resultsThe mean heart rate was 71.8 ± 19.0 (SD) beat per minute (bpm) (95% CI: 67.4-76.3 bpm) and its coefficient of variation was 25.0 ± 9.4 (SD) % (95% CI: 22.8-27.2%). Acquisition was significantly faster with CS

conclusionCompressed sensing real-time cine drastically reduces arrhythmia-related artifacts and thus improves cine image quality in patients with arrhythmia.

Indexed as

arrhythmiaartifactcardiacCMRcompressed sensingfast imagingheartmagnetic resonancereal-time

Identifiers

PMID34362058
PMCPMC8348071

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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.