Evidence map›Paper›PMID 34580343›Full record

ArticleScientific reports2021

Time-efficient three-dimensional transmural scar assessment provides relevant substrate characterization for ventricular tachycardia features and long-term recurrences in ischemic cardiomyopathy.

Susana Merino-Caviedes, Lilian K Gutierrez, José Manuel Alfonso-Almazán, Santiago Sanz-Estébanez, Lucilio Cordero-Grande, Jorge G Quintanilla, Javier Sánchez-González, Manuel Marina-Breysse, Carlos Galán-Arriola, Daniel Enríquez-Vázquez and 15 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Cardiac magnetic resonance parameters and ventricular tachycardia recurrence after catheter ablation: a systematic review and meta-analysis.Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing · 2026
    Review
  2. Article
  3. 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
  4. 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
  5. Review
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

25 authors at 11 institutions in 1 country.

Susana Merino-Caviedes *University of Valladolid, Laboratorio de Procesado de Imagen, Valladolid, Spain.
Lilian K Gutierrez *Centro Nacional de Investigaciones Cardiovasculares (CNIC), Myocardial Pathophysiology Area, Madrid, Spain.
José Manuel Alfonso-AlmazánCentro Nacional de Investigaciones Cardiovasculares (CNIC), Myocardial Pathophysiology Area, Madrid, Spain.
Santiago Sanz-EstébanezUniversity of Valladolid, Laboratorio de Procesado de Imagen, Valladolid, Spain.
Lucilio Cordero-GrandeUniversidad Politécnica de Madrid, Biomedical Image Technologies, ETSI Telecomunicación, Madrid, Spain.
Jorge G QuintanillaCentro Nacional de Investigaciones Cardiovasculares (CNIC), Myocardial Pathophysiology Area, Madrid, Spain.
Javier Sánchez-GonzálezPhilips Healthcare Iberia, Madrid, Spain.
Manuel Marina-BreysseCentro Nacional de Investigaciones Cardiovasculares (CNIC), Myocardial Pathophysiology Area, Madrid, Spain.
Carlos Galán-ArriolaCentro Nacional de Investigaciones Cardiovasculares (CNIC), Myocardial Pathophysiology Area, Madrid, Spain.
Daniel Enríquez-VázquezCentro Nacional de Investigaciones Cardiovasculares (CNIC), Myocardial Pathophysiology Area, Madrid, Spain.
Carlos TorresInstituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Cardiovascular Institute, Madrid, Spain.
Gonzalo PizarroCentro Nacional de Investigaciones Cardiovasculares (CNIC), Myocardial Pathophysiology Area, Madrid, Spain.
Borja IbáñezCentro Nacional de Investigaciones Cardiovasculares (CNIC), Myocardial Pathophysiology Area, Madrid, Spain.
Rafael PeinadoHospital Universitario La Paz, Cardiology Department, Madrid, Spain.
Jose Luis MerinoHospital Universitario La Paz, Cardiology Department, Madrid, Spain.
Julián Pérez-VillacastínInstituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Cardiovascular Institute, Madrid, Spain.
José JalifeCentro Nacional de Investigaciones Cardiovasculares (CNIC), Myocardial Pathophysiology Area, Madrid, Spain.
Mariña López-YuntaBarcelona Supercomputing Center (BSC), Barcelona, Spain.
Mariano VázquezBarcelona Supercomputing Center (BSC), Barcelona, Spain.
Jazmín Aguado-SierraBarcelona Supercomputing Center (BSC), Barcelona, Spain.
Juan José González-FerrerInstituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Cardiovascular Institute, Madrid, Spain.
Nicasio Pérez-CastellanoInstituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Cardiovascular Institute, Madrid, Spain.
Marcos Martín-FernándezUniversity of Valladolid, Laboratorio de Procesado de Imagen, Valladolid, Spain.
Carlos Alberola-LópezUniversity of Valladolid, Laboratorio de Procesado de Imagen, Valladolid, Spain. caralb@tel.uva.es.
David Filgueiras-RamaCentro Nacional de Investigaciones Cardiovasculares (CNIC), Myocardial Pathophysiology Area, Madrid, Spain. david.filgueiras@cnic.es.
Centro de Investigación en Red en Enfermedades Cardiovasculares · ESInstituto de Investigación Sanitaria del Hospital Clínico San Carlos · ESSpanish National Centre for Cardiovascular Research · ESUniversidad de Valladolid · ESHospital Universitario La Paz · ESUniversitat Politècnica de Catalunya · ESBarcelona Supercomputing Center · ESBiomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine · ESCentro de Investigación Biomédica en Red · ESHospital Universitario Fundación Jiménez Díaz · ESIberia (Spain) · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Delayed gadolinium-enhanced cardiac magnetic resonance (LGE-CMR) imaging requires novel and time-efficient approaches to characterize the myocardial substrate associated with ventricular arrhythmia in patients with ischemic cardiomyopathy. Using a translational approach in pigs and patients with established myocardial infarction, we tested and validated a novel 3D methodology to assess ventricular scar using custom transmural criteria and a semiautomatic approach to obtain transmural scar maps in ventricular models reconstructed from both 3D-acquired and 3D-upsampled-2D-acquired LGE-CMR images. The results showed that 3D-upsampled models from 2D LGE-CMR images provided a time-efficient alternative to 3D-acquired sequences to assess the myocardial substrate associated with ischemic cardiomyopathy. Scar assessment from 2D-LGE-CMR sequences using 3D-upsampled models was superior to conventional 2D assessment to identify scar sizes associated with the cycle length of spontaneous ventricular tachycardia episodes and long-term ventricular tachycardia recurrences after catheter ablation. This novel methodology may represent an efficient approach in clinical practice after manual or automatic segmentation of myocardial borders in a small number of conventional 2D LGE-CMR slices and automatic scar detection.

Indexed as

AgedAnimalsArrhythmias, CardiacCardiomyopathiesCicatrixComputational BiologyContrast MediaFemaleGadoliniumHeart VentriclesHumansImage Processing, Computer-AssistedImaging, Three-DimensionalMagnetic Resonance ImagingMaleMiddle AgedContrast MediaGadolinium

Identifiers

PMID34580343
PMCPMC8476552
OpenAlexW3201959776

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.