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

  • Cardiac
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Abstract

Objectives

This 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.

Methods

Cardiac 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.

Results

The 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).

Conclusion

CS 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.

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Abbreviations

ARVC:

Arythmogenic right ventricular cardiomyopathy

CMR:

Cardiac magnetic resonance

CS:

Compressed sensing

ECG:

Electrocardiogram

EDV:

End-diastolic volume

EF:

Ejection fraction

GPU:

Graphic processing unit

LV/LVEF/LVEDV:

Left ventricle/left ventricular EF/left ventricular EDV

LVM:

Left ventricular mass

RV/RVEF/RVEDV:

Right ventricle/right ventricular EF/right ventricular EDV

SD:

Standard deviation

SSFP:

Balanced steady-state free precession

WMD:

Wall-motion disorders

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Funding

The authors state that this work has not received any funding.

Author information

Author notes

  1. Mathilde Vermersch and Benjamin Longère contributed equally to this work.

Authors and Affiliations

  1. Department of Cardiovascular Radiology, Institut Cœur-Poumon, CHU Lille, Boulevard du Pr Jules Leclercq, 59037, Lille Cedex, France

    Mathilde Vermersch, Benjamin Longère, Julien Pagniez, Valentina Silvestri, Arianna Simeone & François Pontana

  2. Department of Clinical Physiology and Echocardiography, CHU Lille, Lille, France

    Augustin Coisne & David Montaigne

  3. INSERM UMR 1011; Institut Pasteur de Lille; EGID (European Genomic Institute for Diabetes), FR3508; Univ Lille, 59000, Lille, France

    Augustin Coisne, David Montaigne & François Pontana

  4. Siemens Healthcare GmbH, Erlangen, Germany

    Michaela Schmidt, Christoph Forman & Aurélien Monnet

  5. Department of Cardiovascular Imaging, St Bartholomew’s Hospital, West Smithfield, London, UK

    Emma Cheasty

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  1. Mathilde Vermersch
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Corresponding author

Correspondence to François Pontana.

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Guarantor

The scientific guarantor of this publication is Francois Pontana.

Conflict of interest

The authors of this manuscript declare relationships with the following companies: Mathilde Vermersch, Benjamin Longère, Augustin Coisne, Julien Pagniez, Valentina Silvestri, Arianna Simeone, Emma Cheasty, David Montaigne, and François Pontana have no competing interest. They are employed by an institution engaged in contractual collaboration with Siemens Healthcare. Michaela Schmidt, Christoph Forman, and Aurelien Monnet are employees of Siemens Healthcare GmbH.

Statistics and biometry

One of the authors has significant statistical expertise.

Informed consent

Written informed consent was obtained from all patients in this study.

Ethical approval

Institutional Review Board approval was obtained.

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• prospective

• cross-sectional study

• performed at one institution

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Vermersch, M., Longère, B., Coisne, A. et al. Compressed sensing real-time cine imaging for assessment of ventricular function, volumes and mass in clinical practice. Eur Radiol 30, 609–619 (2020). https://doi.org/10.1007/s00330-019-06341-2

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  • DOI: https://doi.org/10.1007/s00330-019-06341-2

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