Right Ventricular Volume and Function Assessment in Congenital Heart Disease Using CMR Compressed-Sensing Real-Time Cine Imaging.

CMR GUCH cardiac compressed sensing congenital heart disease heart magnetic resonance real-time imaging

Journal

Journal of clinical medicine
ISSN: 2077-0383
Titre abrégé: J Clin Med
Pays: Switzerland
ID NLM: 101606588

Informations de publication

Date de publication:
29 Apr 2021
Historique:
received: 16 03 2021
revised: 16 04 2021
accepted: 20 04 2021
entrez: 5 5 2021
pubmed: 6 5 2021
medline: 6 5 2021
Statut: epublish

Résumé

To evaluate the reliability of compressed-sensing (CS) real-time single-breath-hold cine imaging for quantification of right ventricular (RV) function and volumes in congenital heart disease (CHD) patients in comparison with the standard multi-breath-hold technique. Sixty-one consecutive CHD patients (mean age = 22.2 ± 9.0 (SD) years) were prospectively evaluated during either the initial work-up or after repair. For each patient, two series of cine images were acquired: first, the reference segmented multi-breath-hold steady-state free-precession sequence (SSFP The mean acquisition time for CS Compressed-sensing real-time cine imaging enables, in one breath hold, an accurate assessment of RV function and volumes in CHD patients in comparison with standard SSFP

Sections du résumé

BACKGROUND AND OBJECTIVE OBJECTIVE
To evaluate the reliability of compressed-sensing (CS) real-time single-breath-hold cine imaging for quantification of right ventricular (RV) function and volumes in congenital heart disease (CHD) patients in comparison with the standard multi-breath-hold technique.
METHODS METHODS
Sixty-one consecutive CHD patients (mean age = 22.2 ± 9.0 (SD) years) were prospectively evaluated during either the initial work-up or after repair. For each patient, two series of cine images were acquired: first, the reference segmented multi-breath-hold steady-state free-precession sequence (SSFP
RESULTS RESULTS
The mean acquisition time for CS
CONCLUSIONS CONCLUSIONS
Compressed-sensing real-time cine imaging enables, in one breath hold, an accurate assessment of RV function and volumes in CHD patients in comparison with standard SSFP

Identifiants

pubmed: 33947025
pii: jcm10091930
doi: 10.3390/jcm10091930
pmc: PMC8125206
pii:
doi:

Types de publication

Journal Article

Langues

eng

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Auteurs

Benjamin Longère (B)

University of Lille, Inserm, CHU Lille, Institut Pasteur Lille, U1011-European Genomic Institute for Diabetes (EGID), F-59000 Lille, France.

Julien Pagniez (J)

CHU Lille, Department of Cardiovascular Radiology, F-59000 Lille, France.

Augustin Coisne (A)

University of Lille, Inserm, CHU Lille, Institut Pasteur Lille, U1011-European Genomic Institute for Diabetes (EGID), F-59000 Lille, France.

Hedi Farah (H)

CHU Lille, Department of Cardiovascular Radiology, F-59000 Lille, France.

Michaela Schmidt (M)

MR Product Innovation and Definition, Magnetic Resonance, Siemens Healthcare GmbH, 91052 Erlangen, Germany.

Christoph Forman (C)

MR Product Innovation and Definition, Magnetic Resonance, Siemens Healthcare GmbH, 91052 Erlangen, Germany.

Valentina Silvestri (V)

CHU Lille, Department of Cardiovascular Radiology, F-59000 Lille, France.

Arianna Simeone (A)

CHU Lille, Department of Cardiovascular Radiology, F-59000 Lille, France.

Christos V Gkizas (CV)

CHU Lille, Department of Cardiovascular Radiology, F-59000 Lille, France.

Justin Hennicaux (J)

CHU Lille, Department of Cardiovascular Radiology, F-59000 Lille, France.

Emma Cheasty (E)

Department of Cardiovascular Imaging, St Bartholomew's Hospital, West Smithfield, London EC1A 7BE, UK.

Solenn Toupin (S)

Scientific partnerships, Siemens Healthcare France, 93200 Saint-Denis, France.

David Montaigne (D)

University of Lille, Inserm, CHU Lille, Institut Pasteur Lille, U1011-European Genomic Institute for Diabetes (EGID), F-59000 Lille, France.

François Pontana (F)

University of Lille, Inserm, CHU Lille, Institut Pasteur Lille, U1011-European Genomic Institute for Diabetes (EGID), F-59000 Lille, France.

Classifications MeSH