R2 prime (R2') magnetic resonance imaging for post-myocardial infarction intramyocardial haemorrhage quantification.

intramyocardial haemorrhage magnetic resonance imaging myocardial infarction myocardial inflammation myocardial oedema myocardial reperfusion injury

Journal

European heart journal. Cardiovascular Imaging
ISSN: 2047-2412
Titre abrégé: Eur Heart J Cardiovasc Imaging
Pays: England
ID NLM: 101573788

Informations de publication

Date de publication:
01 09 2020
Historique:
received: 25 04 2019
revised: 21 10 2019
accepted: 26 11 2019
pubmed: 19 12 2019
medline: 24 6 2021
entrez: 19 12 2019
Statut: ppublish

Résumé

To assess whether R2* is more accurate than T2* for the detection of intramyocardial haemorrhage (IMH) and to evaluate whether T2' (or R2') is less affected by oedema than T2* (R2*), and thus more suitable for the accurate identification of post-myocardial infarction (MI) IMH. Reperfused anterior MI was performed in 20 pigs, which were sacrificed at 120 min, 24 h, 4 days, and 7 days. At each time point, cardiac magnetic resonance (CMR) T2- and T2*-mapping scans were recorded, and myocardial tissue samples were collected to quantify IMH and myocardial water content. After normalization by the number of red blood cells in remote tissue, histological IMH increased 5.2-fold, 10.7-fold, and 4.1-fold at Days 1, 4, and 7, respectively. The presence of IMH was correlated more strongly with R2* (r = 0.69; P = 0.013) than with T2* (r = -0.50; P = 0.085). The correlation with IMH was even stronger for R2' (r = 0.72; P = 0.008). For myocardial oedema, the correlation was stronger for R2* (r = -0.63; P = 0.029) than for R2' (r = -0.50; P = 0.100). Multivariate linear regressions confirmed that R2* values were significantly explained by both IMH and oedema, whereas R2' values were mostly explained by histological IMH (P = 0.024) and were little influenced by myocardial oedema (P = 0.262). Using CMR mapping with histological validation in a pig model of reperfused MI, R2'more accurately detected IMH and was less influenced by oedema than R2* (and T2*). Further studies are needed to elucidate whether R2' is also better suited for the characterization of post-MI IMH in the clinical setting.

Identifiants

pubmed: 31848573
pii: 5680025
doi: 10.1093/ehjci/jez306
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1031-1038

Informations de copyright

Published on behalf of the European Society of Cardiology. All rights reserved. © The Author(s) 2019. For permissions, please email: journals.permissions@oup.com.

Auteurs

Xavier Rossello (X)

Translational Laboratory for Cardiovascular Imaging and Therapy, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain.
Centro de Investigación Biomédica en Red en Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain.

Pedro Lopez-Ayala (P)

Translational Laboratory for Cardiovascular Imaging and Therapy, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain.

Rodrigo Fernández-Jiménez (R)

Translational Laboratory for Cardiovascular Imaging and Therapy, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain.
Centro de Investigación Biomédica en Red en Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain.
Cardiology Department, The Zena and Michael A. Wiener Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Eduardo Oliver (E)

Translational Laboratory for Cardiovascular Imaging and Therapy, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain.
Centro de Investigación Biomédica en Red en Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain.

Carlos Galán-Arriola (C)

Translational Laboratory for Cardiovascular Imaging and Therapy, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain.
Centro de Investigación Biomédica en Red en Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain.

Antonio de Molina-Iracheta (A)

Translational Laboratory for Cardiovascular Imaging and Therapy, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain.

Jaume Agüero (J)

Translational Laboratory for Cardiovascular Imaging and Therapy, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain.
Centro de Investigación Biomédica en Red en Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain.
Department of Cardiology, Hospital Universtitari i Politecnic La Fe, Valencia, Spain.

Gonzalo J López (GJ)

Translational Laboratory for Cardiovascular Imaging and Therapy, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain.

Manuel Lobo-Gonzalez (M)

Translational Laboratory for Cardiovascular Imaging and Therapy, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain.

Jean Paul Vílchez-Tschischke (JP)

Translational Laboratory for Cardiovascular Imaging and Therapy, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain.
Department of Cardiology, Complejo Hospitalario Ruber Juan Bravo, Madrid, Spain.

Valentin Fuster (V)

Translational Laboratory for Cardiovascular Imaging and Therapy, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain.
Cardiology Department, The Zena and Michael A. Wiener Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Javier Sánchez-González (J)

Philips Healthcare, Madrid, Spain.

Borja Ibanez (B)

Translational Laboratory for Cardiovascular Imaging and Therapy, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain.
Centro de Investigación Biomédica en Red en Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain.
Department of Cardiology, IIS-Fundación Jiménez Díaz Hospital, Madrid, Spain.

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Classifications MeSH