Implications of bipolar voltage mapping and magnetic resonance imaging resolution in biventricular scar characterization after myocardial infarction.


Journal

Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology
ISSN: 1532-2092
Titre abrégé: Europace
Pays: England
ID NLM: 100883649

Informations de publication

Date de publication:
01 Jan 2019
Historique:
received: 10 05 2018
accepted: 06 08 2018
pubmed: 22 9 2018
medline: 1 9 2020
entrez: 22 9 2018
Statut: ppublish

Résumé

We aimed to study the differences in biventricular scar characterization using bipolar voltage mapping compared with state-of-the-art in vivo delayed gadolinium-enhanced cardiac magnetic resonance (LGE-CMR) imaging and ex vivo T1 mapping. Ten pigs with established myocardial infarction (MI) underwent in vivo scar characterization using LGE-CMR imaging and high-density voltage mapping of both ventricles using a 3.5-mm tip catheter. Ex vivo post-contrast T1 mapping provided a high-resolution reference. Voltage maps were registered onto the left and right ventricular (LV and RV) endocardium, and epicardium of CMR-based geometries to compare voltage-derived scars with surface-projected 3D scars. Voltage-derived scar tissue of the LV endocardium and the epicardium resembled surface projections of 3D in vivo and ex vivo CMR-derived scars using 1-mm of surface projection distance. The thinner wall of the RV was especially sensitive to lower resolution in vivo LGE-CMR images, in which differences between normalized low bipolar voltage areas and CMR-derived scar areas did not decrease below a median of 8.84% [interquartile range (IQR) (3.58, 12.70%)]. Overall, voltage-derived scars and surface scar projections from in vivo LGE-CMR sequences showed larger normalized scar areas than high-resolution ex vivo images [12.87% (4.59, 27.15%), 18.51% (11.25, 24.61%), and 9.30% (3.84, 19.59%), respectively], despite having used optimized surface projection distances. Importantly, 43.02% (36.54, 48.72%) of voltage-derived scar areas from the LV endocardium were classified as non-enhanced healthy myocardium using ex vivo CMR imaging. In vivo LGE-CMR sequences and high-density voltage mapping using a conventional linear catheter fail to provide accurate characterization of post-MI scar, limiting the specificity of voltage-based strategies and imaging-guided procedures.

Identifiants

pubmed: 30239689
pii: 5101393
doi: 10.1093/europace/euy192
pmc: PMC6321957
doi:

Substances chimiques

Contrast Media 0
Organometallic Compounds 0
Meglumine 6HG8UB2MUY
gadoterate meglumine L0ND3981AG

Types de publication

Comparative Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

163-174

Subventions

Organisme : NHLBI NIH HHS
ID : R01 HL122352
Pays : United States

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Auteurs

Mariña López-Yunta (M)

Department of Computer Applications in Science and Engineering, Barcelona Supercomputing Center (BSC), Jordi Girona, 29, Barcelona, Spain.

Daniel G León (DG)

Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Myocardial Pathophysiology Area, Melchor Fernández Almagro, 2, Madrid, Spain.

José Manuel Alfonso-Almazán (JM)

Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Myocardial Pathophysiology Area, Melchor Fernández Almagro, 2, Madrid, Spain.

Manuel Marina-Breysse (M)

Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Myocardial Pathophysiology Area, Melchor Fernández Almagro, 2, Madrid, Spain.
Agencia Española de Protección de la Salud en el Deporte (AEPSAD), Madrid, Spain.

Jorge G Quintanilla (JG)

Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Myocardial Pathophysiology Area, Melchor Fernández Almagro, 2, Madrid, Spain.
Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Cardiovascular Institute, Profesor Martín Lagos s/n, Madrid, Spain.
Centro de Investigación Biomédica en Red (CIBER) de Enfermedades Cardiovasculares, Monforte de Lemos 3-5, Madrid, Spain.

Javier Sánchez-González (J)

Philips Healthcare Iberia, Madrid, Spain.

Carlos Galán-Arriola (C)

Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Myocardial Pathophysiology Area, Melchor Fernández Almagro, 2, Madrid, Spain.
Centro de Investigación Biomédica en Red (CIBER) de Enfermedades Cardiovasculares, Monforte de Lemos 3-5, Madrid, Spain.

Victoria Cañadas-Godoy (V)

Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Cardiovascular Institute, Profesor Martín Lagos s/n, Madrid, Spain.
Centro de Investigación Biomédica en Red (CIBER) de Enfermedades Cardiovasculares, Monforte de Lemos 3-5, Madrid, Spain.

Daniel Enríquez-Vázquez (D)

Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Myocardial Pathophysiology Area, Melchor Fernández Almagro, 2, Madrid, Spain.
Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Cardiovascular Institute, Profesor Martín Lagos s/n, Madrid, Spain.

Carlos Torres (C)

Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Myocardial Pathophysiology Area, Melchor Fernández Almagro, 2, Madrid, Spain.
Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Cardiovascular Institute, Profesor Martín Lagos s/n, Madrid, Spain.

Borja Ibáñez (B)

Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Myocardial Pathophysiology Area, Melchor Fernández Almagro, 2, Madrid, Spain.
Centro de Investigación Biomédica en Red (CIBER) de Enfermedades Cardiovasculares, Monforte de Lemos 3-5, Madrid, Spain.
IIS-University Hospital Fundación Jiménez Díaz, Madrid, Spain.

Julián Pérez-Villacastín (J)

Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Cardiovascular Institute, Profesor Martín Lagos s/n, Madrid, Spain.
Centro de Investigación Biomédica en Red (CIBER) de Enfermedades Cardiovasculares, Monforte de Lemos 3-5, Madrid, Spain.
Fundación Interhospitalaria para la Investigación Cardiovascular (FIC), Madrid, Spain.

Nicasio Pérez-Castellano (N)

Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Cardiovascular Institute, Profesor Martín Lagos s/n, Madrid, Spain.
Centro de Investigación Biomédica en Red (CIBER) de Enfermedades Cardiovasculares, Monforte de Lemos 3-5, Madrid, Spain.

José Jalife (J)

Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Myocardial Pathophysiology Area, Melchor Fernández Almagro, 2, Madrid, Spain.
Centro de Investigación Biomédica en Red (CIBER) de Enfermedades Cardiovasculares, Monforte de Lemos 3-5, Madrid, Spain.
Department of Internal Medicine, Center for Arrhythmia Research, Cardiovascular Research Center, University of Michigan, Ann Arbor, MI, USA.

Mariano Vázquez (M)

Department of Computer Applications in Science and Engineering, Barcelona Supercomputing Center (BSC), Jordi Girona, 29, Barcelona, Spain.

Jazmín Aguado-Sierra (J)

Department of Computer Applications in Science and Engineering, Barcelona Supercomputing Center (BSC), Jordi Girona, 29, Barcelona, Spain.

David Filgueiras-Rama (D)

Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Myocardial Pathophysiology Area, Melchor Fernández Almagro, 2, Madrid, Spain.
Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Cardiovascular Institute, Profesor Martín Lagos s/n, Madrid, Spain.
Centro de Investigación Biomédica en Red (CIBER) de Enfermedades Cardiovasculares, Monforte de Lemos 3-5, Madrid, Spain.

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Classifications MeSH