Evidence map›Paper›PMID 30239689›Full record

ArticleEuropace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology2019

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

Mariña López-Yunta, Daniel G León, José Manuel Alfonso-Almazán, Manuel Marina-Breysse, Jorge G Quintanilla, Javier Sánchez-González, Carlos Galán-Arriola, Victoria Cañadas-Godoy, Daniel Enríquez-Vázquez, Carlos Torres and 7 more

Open access · greenAbstract readComparative Study
In one paragraph

Article in 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, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.9field-weighted citation impact, top 24% of its field
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

12 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
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  4. Novel systematic processing of cardiac magnetic resonance imaging identifies target regions associated with infarct-related ventricular tachycardia.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 · 2024
    Article
  5. Idiopathic Annular Ventricular Arrhythmias.Arrhythmia & electrophysiology review · 2024
    Review
  6. Arrhythmogenic vulnerability of reentrant pathways in post-infarct ventricular tachycardia assessed by advanced computational modelling.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 · 2023
    Article
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  11. Evaluation of a real-time magnetic resonance imaging-guided electrophysiology system for structural and electrophysiological ventricular tachycardia substrate assessment.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 · 2019
    Article
  12. Article
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

17 authors at 6 institutions in 2 countries.

Mariña López-YuntaDepartment of Computer Applications in Science and Engineering, Barcelona Supercomputing Center (BSC), Jordi Girona, 29, Barcelona, Spain.
Daniel G LeónCentro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Myocardial Pathophysiology Area, Melchor Fernández Almagro, 2, Madrid, Spain.
José Manuel Alfonso-AlmazánCentro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Myocardial Pathophysiology Area, Melchor Fernández Almagro, 2, Madrid, Spain.
Manuel Marina-BreysseCentro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Myocardial Pathophysiology Area, Melchor Fernández Almagro, 2, Madrid, Spain.
Jorge G QuintanillaCentro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Myocardial Pathophysiology Area, Melchor Fernández Almagro, 2, Madrid, Spain.
Javier Sánchez-GonzálezPhilips Healthcare Iberia, Madrid, Spain.
Carlos Galán-ArriolaCentro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Myocardial Pathophysiology Area, Melchor Fernández Almagro, 2, Madrid, Spain.
Victoria Cañadas-GodoyInstituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Cardiovascular Institute, Profesor Martín Lagos s/n, Madrid, Spain.
Daniel Enríquez-VázquezCentro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Myocardial Pathophysiology Area, Melchor Fernández Almagro, 2, Madrid, Spain.
Carlos TorresCentro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Myocardial Pathophysiology Area, Melchor Fernández Almagro, 2, Madrid, Spain.
Borja IbáñezCentro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Myocardial Pathophysiology Area, Melchor Fernández Almagro, 2, Madrid, Spain.
Julián Pérez-VillacastínInstituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Cardiovascular Institute, Profesor Martín Lagos s/n, Madrid, Spain.
Nicasio Pérez-CastellanoInstituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Cardiovascular Institute, Profesor Martín Lagos s/n, Madrid, Spain.
José JalifeCentro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Myocardial Pathophysiology Area, Melchor Fernández Almagro, 2, Madrid, Spain.
Mariano VázquezDepartment of Computer Applications in Science and Engineering, Barcelona Supercomputing Center (BSC), Jordi Girona, 29, Barcelona, Spain.
Jazmín Aguado-SierraDepartment of Computer Applications in Science and Engineering, Barcelona Supercomputing Center (BSC), Jordi Girona, 29, Barcelona, Spain.
David Filgueiras-RamaCentro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Myocardial Pathophysiology Area, Melchor Fernández Almagro, 2, Madrid, Spain.
Centro de Investigación Biomédica en Red · ESSpanish National Centre for Cardiovascular Research · ESBarcelona Supercomputing Center · ESHospital Universitario Fundación Jiménez Díaz · ESInstituto de Investigación Sanitaria del Hospital Clínico San Carlos · ESPhilips (Spain) · ES

Funding

Intermolecular Interactions of NaV1.5 and Kir2.1 In Ion Channel DiseasesR01HL122352 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BERENFELD, OMER · 2015 to 2018
$1.9M
NHLBI NIH HHS R01 HL122352
6 · The paper itself

Abstract

aimsWe 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. METHODS AND

resultsTen 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.

conclusionIn 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.

Indexed as

Action PotentialsElectrophysiologic Techniques, CardiacMagnetic Resonance ImagingAnimalsArrhythmias, CardiacCicatrixContrast MediaDisease Models, AnimalHeart Conduction SystemHeart RateMaleMeglumineMyocardial InfarctionMyocardiumOrganometallic CompoundsPredictive Value of TestsContrast Mediagadoterate meglumineMeglumineOrganometallic Compounds

Identifiers

PMID30239689
PMCPMC6321957
OpenAlexW2891276294

What OpenQuestion holds

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Registered trials

None linked

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.