Evidence map›Paper›PMID 31372784›Full record

ArticleEuropean radiology2020

Compressed sensing real-time cine imaging for assessment of ventricular function, volumes and mass in clinical practice.

Mathilde Vermersch, Benjamin Longère, Augustin Coisne, Michaela Schmidt, Christoph Forman, Aurélien Monnet, Julien Pagniez, Valentina Silvestri, Arianna Simeone, Emma Cheasty and 2 more

Abstract read
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Article in European radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing 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

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

  1. Pooled it
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  11. Full free-breathing cardiovascular magnetic resonance imaging: enhancing efficiency and image quality in clinical practice.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2025
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  15. Clinical utility of a rapid two-dimensional balanced steady-state free precession sequence with deep learning reconstruction.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2024
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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

12 authors.

Mathilde Vermersch *Department of Cardiovascular Radiology, Institut Cœur-Poumon, CHU Lille, Boulevard du Pr Jules Leclercq, 59037, Lille Cedex, France.
Benjamin Longère *Department of Cardiovascular Radiology, Institut Cœur-Poumon, CHU Lille, Boulevard du Pr Jules Leclercq, 59037, Lille Cedex, France.
Augustin CoisneDepartment of Clinical Physiology and Echocardiography, CHU Lille, Lille, France.
Michaela SchmidtSiemens Healthcare GmbH, Erlangen, Germany.
Christoph FormanSiemens Healthcare GmbH, Erlangen, Germany.
Aurélien MonnetSiemens Healthcare GmbH, Erlangen, Germany.
Julien PagniezDepartment of Cardiovascular Radiology, Institut Cœur-Poumon, CHU Lille, Boulevard du Pr Jules Leclercq, 59037, Lille Cedex, France.
Valentina SilvestriDepartment of Cardiovascular Radiology, Institut Cœur-Poumon, CHU Lille, Boulevard du Pr Jules Leclercq, 59037, Lille Cedex, France.
Arianna SimeoneDepartment of Cardiovascular Radiology, Institut Cœur-Poumon, CHU Lille, Boulevard du Pr Jules Leclercq, 59037, Lille Cedex, France.
Emma CheastyDepartment of Cardiovascular Imaging, St Bartholomew's Hospital, West Smithfield, London, UK.
David MontaigneDepartment of Clinical Physiology and Echocardiography, CHU Lille, Lille, France.
François PontanaDepartment of Cardiovascular Radiology, Institut Cœur-Poumon, CHU Lille, Boulevard du Pr Jules Leclercq, 59037, Lille Cedex, France. francois.pontana@chru-lille.fr.ORCID http://orcid.org/0000-0001-5316-7101

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study was conducted in order to evaluate the accuracy of a compressed sensing (CS) real-time single-breath-hold cine sequence for the assessment of left and right ventricular functional parameters in daily practice.

methodsCardiac magnetic resonance (CMR) cine images were acquired from 100 consecutive patients using both the reference segmented multi-breath-hold steady-state free precession (SSFP) acquisition and a prototype single-breath-hold real-time CS sequence, providing the same slice number, position, and thickness. For both sequences, the left (LV) and right ventricular (RV) ejection fractions (EF) and end-diastolic volumes (EDV) were assessed as well as LV mass (LVM). The visualization of wall-motion disorders (WMD) and signal void related to mitral or tricuspid regurgitation was also analyzed.

resultsThe CS sequence mean scan time was 23 ± 6 versus 510 ± 109 s for the multi-breath-hold SSFP sequence (p < 0.001). There was an excellent correlation between the two sequences regarding mean LVEF (r = 0.995), LVEDV (r = 0.997), LVM (r = 0.981), RVEF (r = 0.979), and RVEDV (r = 0.983). Moreover, inter- and intraobserver agreements were very strong with intraclass correlations of 0.96 and 0.99, respectively. On CS images, mitral or tricuspid regurgitation visualization was good (AUC = 0.85 and 0.81, respectively; ROC curve analysis) and wall-motion disorder visualization was excellent (AUC ≥ 0.97).

conclusionCS real-time single-breath-hold cine imaging reduces CMR scan duration by almost 20 times in daily practice while providing reliable measurements of both left and right ventricles. There was no clinically relevant information loss regarding valve regurgitation and wall-motion disorder depiction. KEY POINTS: • Compressed sensing single-breath-hold real-time cine imaging is a reliable sequence in daily practice. • Fast CS real-time imaging reduces CMR scan time and improves patient workflow. • There is no clinically relevant information loss with CS regarding heart valve regurgitation or wall-motion disorders.

Indexed as

AdolescentAdultAgedAged, 80 and overBreath HoldingFemaleHeart VentriclesHumansImage Interpretation, Computer-AssistedMagnetic Resonance Imaging, CineMaleMiddle AgedOrgan SizeProspective StudiesReproducibility of ResultsROC CurveBreath holdingHeart ventriclesMagnetic resonance imaging

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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.