Evidence map›Paper›PMID 35644355›Full record

ArticleHeart rhythm2022

Predicting arrhythmia recurrence following catheter ablation for ventricular tachycardia using late gadolinium enhancement magnetic resonance imaging: Implications of varying scar ranges.

Pranav Bhagirath, Fernando O Campos, Caroline M Costa, Arthur A M Wilde, Anton J Prassl, Aurel Neic, Gernot Plank, Christopher A Rinaldi, Marco J W Götte, Martin J Bishop

Open access · hybridAbstract read
In one paragraph

Article in Heart rhythm, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.6field-weighted citation impact, top 9% 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

10 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. 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
  3. Computer-aided characterization of the arrhythmogenic substrate after myocardial infarction.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 · 2026
    Review
  4. Review
  5. Review
  6. From bits to bedside: entering the age of digital twins in cardiac electrophysiology.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
    Review
  7. 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
  8. Article
  9. Article
  10. Arrhythmogenic vulnerability of re-entrant 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
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 3 countries.

Pranav BhagirathSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom; Department of Cardiology, St. Thomas' Hospital, London, United Kingdom. Electronic address: pranav.bhagirath@kcl.ac.uk.
Fernando O CamposSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
Caroline M CostaSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
Arthur A M WildeDepartment of Cardiology, Amsterdam University Medical Center, Amsterdam, the Netherlands.
Anton J PrasslGottfried Schatz Research Center, Division of Biophysics, Medical University of Graz, Graz, Austria.
Aurel NeicGottfried Schatz Research Center, Division of Biophysics, Medical University of Graz, Graz, Austria.
Gernot PlankGottfried Schatz Research Center, Division of Biophysics, Medical University of Graz, Graz, Austria.
Christopher A RinaldiDepartment of Cardiology, St. Thomas' Hospital, London, United Kingdom.
Marco J W GötteDepartment of Cardiology, Amsterdam University Medical Center, Amsterdam, the Netherlands.
Martin J BishopSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
King's College London · GBMedical University of Graz · ATAmsterdam University Medical Centers · NLSt Thomas' Hospital · GB

Funding

British Heart Foundation PG/18/74/34077British Heart Foundation PG/22/10871Wellcome Trust 203148Wellcome Trust 213342/Z/18/ZWellcome Trust WT203148/Z/16/Z
6 · The paper itself

Abstract

backgroundThresholding-based analysis of late gadolinium enhancement cardiac magnetic resonance (LGE-CMR) can create scar maps and identify corridors that might provide a reentrant substrate for ventricular tachycardia (VT). Current recommendations use a full-width-at-half-maximum approach, effectively classifying areas with a pixel signal intensity (PSI) >40% as border zone (BZ) and >60% as core.

objectiveThe purpose of this study was to investigate the impact of 4 different threshold settings on scar and corridor quantification and to correlate this with postablation VT recurrence.

methodsTwenty-seven patients with ischemic cardiomyopathy who had undergone catheter ablation for VT were included for retrospective analysis. LGE-CMR images were analyzed using ADAS3D LV. Scar maps were created for 4 PSI thresholds (40-60, 35-65, 30-70, and 45-55), and the extent of variation in BZ and core, as well as the number and weight of conduction corridors, were quantified. Three-dimensional representations were reconstructed from exported segmentations and used to quantify the surface area between healthy myocardium and scar (BZ + core), and between BZ and core.

resultsA wider PSI threshold was associated with an increase in BZ mass and decrease in scar (P <.001). No significant differences were observed for the total number of corridors and their mass with increasing PSI threshold. The best correlation in predicting arrhythmia recurrence was observed for PSI 45-55 (area under the curve 0.807; P = .001).

conclusionVarying PSI has a significant impact on quantification of LGE-CMR parameters and may have incremental clinical value in predicting arrhythmia recurrence. Further prospective investigation is warranted to clarify the functional implications of these findings for LGE-CMR-guided ventricular ablation.

Indexed as

Catheter AblationTachycardia, VentricularCicatrixContrast MediaGadoliniumHumansMagnetic Resonance ImagingMagnetic Resonance SpectroscopyRetrospective StudiesContrast MediaGadoliniumArrhythmia recurrenceCardiac magnetic resonance imagingCatheter ablationLate enhancement magnetic resonance imagingVentricular tachycardia

Identifiers

PMID35644355
PMCPMC7616170
OpenAlexW4281556346

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.