Evidence map›Paper›PMID 23608593›Full record

ArticleHeart rhythm2013

Feasibility of image-based simulation to estimate ablation target in human ventricular arrhythmia.

Hiroshi Ashikaga, Hermenegild Arevalo, Fijoy Vadakkumpadan, Robert C Blake, Jason D Bayer, Saman Nazarian, M Muz Zviman, Harikrishna Tandri, Ronald D Berger, Hugh Calkins and 3 more

Open access · greenAbstract read
In one paragraph

Article in Heart rhythm, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 91 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
91citing papers in PubMed, 1 pooled it
12.1field-weighted citation impact, top 1% 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

91 citing papers in PubMed, 1 synthesis or guideline pooled it, 136 citations in OpenAlex.

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  13. Digital twins in medicine.Nature computational science · 2024
    Review
  14. Review
  15. Initial experience on cardiac magnetic resonance-aided VT ablation in South America.Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing · 2023
    Article
  16. 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
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31 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 2 institutions in 1 country.

Hiroshi AshikagaDivision of Cardiology, Johns Hopkins University School of Medicine, Baltimore, Maryland 21287, USA. hashika1@jhmi.edu
Hermenegild Arevalo
Fijoy Vadakkumpadan
Robert C Blake
Jason D Bayer
Saman Nazarian
M Muz Zviman
Harikrishna Tandri
Ronald D Berger
Hugh Calkins
Daniel A Herzka
Natalia A Trayanova
Henry R Halperin
Johns Hopkins Medicine · USJohns Hopkins University · US

Funding

Improved Targeting and Assessment of Electrophysiology InterventionR01HL094610 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI HALPERIN, HENRY R · 2009 to 2018
$15.5M
Defibrillation Mechanisms in Infarcted HeartsR01HL082729 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI TRAYANOVA, NATALIA A. · 2007 to 2010
$2.1M
NHLBI NIH HHS R01 HL082729NHLBI NIH HHS R01-HL082729NHLBI NIH HHS R01 HL094610NHLBI NIH HHS R01-HL094610
6 · The paper itself

Abstract

backgroundPrevious studies suggest that magnetic resonance imaging with late gadolinium enhancement (LGE) may identify slowly conducting tissues in scar-related ventricular tachycardia (VT).

objectiveTo test the feasibility of image-based simulation based on LGE to estimate ablation targets in VT.

methodsWe conducted a retrospective study in 13 patients who had preablation magnetic resonance imaging for scar-related VT ablation. We used image-based simulation to induce VT and estimate target regions according to the simulated VT circuit. The estimated target regions were coregistered with the LGE scar map and the ablation sites from the electroanatomical map in the standard ablation approach.

resultsIn image-based simulation, VT was inducible in 12 (92.3%) patients. All VTs showed macroreentrant propagation patterns, and the narrowest width of estimated target region that an ablation line should span to prevent VT recurrence was 5.0 ± 3.4 mm. Of 11 patients who underwent ablation, the results of image-based simulation and the standard approach were consistent in 9 (82%) patients, where ablation within the estimated target region was associated with acute success (n = 8) and ablation outside the estimated target region was associated with failure (n = 1). In 1 (9%) case, the results of image-based simulation and the standard approach were inconsistent, where ablation outside the estimated target region was associated with acute success.

conclusionsThe image-based simulation can be used to estimate potential ablation targets of scar-related VT. The image-based simulation may be a powerful noninvasive tool for preprocedural planning of ablation procedures to potentially reduce the procedure time and complication rates.

Indexed as

GadoliniumAgedCatheter AblationCicatrixComputer SimulationFeasibility StudiesFemaleHeart VentriclesHumansMagnetic Resonance ImagingMaleMiddle AgedRetrospective StudiesTachycardia, VentricularGadolinium3-D3-dimensionalCardiac MRICatheter ablationComputer simulationECGelectrocardiogram/electrocardiographicelectrophysiology studyEPSheterogeneous zoneHZICDImage-based simulationimplantable cardioverter-defibrillatorlate gadolinium enhancementleft ventricularLGELVmagnetic resonance imagingMIMRImyocardial infarctionSIsignal intensityVentricular arrhythmiaventricular tachycardiaVT

Identifiers

PMID23608593
PMCPMC3735782
OpenAlexW2116621000

What OpenQuestion holds

Textmetadata
LicenceTDM
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.