Evidence map›Paper›PMID 32191131›Full record

Observational studyCirculation. Arrhythmia and electrophysiology2020

Accurate Conduction Velocity Maps and Their Association With Scar Distribution on Magnetic Resonance Imaging in Patients With Postinfarction Ventricular Tachycardias.

Konstantinos N Aronis, Rheeda L Ali, Adityo Prakosa, Hiroshi Ashikaga, Ronald D Berger, Joe B Hakim, Jialiu Liang, Harikrishna Tandri, Fei Teng, Jonathan Chrispin and 1 more

Open access · bronzeAbstract readObservational Study
In one paragraph

Observational study in Circulation. Arrhythmia and electrophysiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.0field-weighted citation impact, top 7% 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

24 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
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  11. Automated isochronal late activation mapping for substrate characterization in patients with repaired tetralogy of Fallot.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
  12. Review
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  14. Predicting lethal ventricular arrhythmias in hypertrophic cardiomyopathy using non-electrophysiologic methods: Invasive EGM vs. non-invasive ECG analysis of fragmentation.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
  15. Orientation of conduction velocity vectors on cardiac mapping surfaces.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
  16. Wavefront directionality and decremental stimuli synergistically improve identification of ventricular tachycardia substrate: insights from personalized computational heart models.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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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

11 authors at 2 institutions in 1 country.

Konstantinos N Aronis *Alliance for Cardiovascular Diagnostic and Treatment Innovation, Johns Hopkins University (K.N.A., R.L.A., A.P., J.B.H., J.L., F.T., N.A.T.).
Rheeda L Ali *Alliance for Cardiovascular Diagnostic and Treatment Innovation, Johns Hopkins University (K.N.A., R.L.A., A.P., J.B.H., J.L., F.T., N.A.T.).
Adityo PrakosaAlliance for Cardiovascular Diagnostic and Treatment Innovation, Johns Hopkins University (K.N.A., R.L.A., A.P., J.B.H., J.L., F.T., N.A.T.).
Hiroshi AshikagaSection of Electrophysiology, Division of Cardiology, Johns Hopkins Hospital, Baltimore, MD (K.N.A., H.A., R.D.B., H.T., J.C.).
Ronald D BergerSection of Electrophysiology, Division of Cardiology, Johns Hopkins Hospital, Baltimore, MD (K.N.A., H.A., R.D.B., H.T., J.C.).
Joe B HakimAlliance for Cardiovascular Diagnostic and Treatment Innovation, Johns Hopkins University (K.N.A., R.L.A., A.P., J.B.H., J.L., F.T., N.A.T.).
Jialiu LiangAlliance for Cardiovascular Diagnostic and Treatment Innovation, Johns Hopkins University (K.N.A., R.L.A., A.P., J.B.H., J.L., F.T., N.A.T.).
Harikrishna TandriSection of Electrophysiology, Division of Cardiology, Johns Hopkins Hospital, Baltimore, MD (K.N.A., H.A., R.D.B., H.T., J.C.).
Fei TengAlliance for Cardiovascular Diagnostic and Treatment Innovation, Johns Hopkins University (K.N.A., R.L.A., A.P., J.B.H., J.L., F.T., N.A.T.).
Jonathan Chrispin *Section of Electrophysiology, Division of Cardiology, Johns Hopkins Hospital, Baltimore, MD (K.N.A., H.A., R.D.B., H.T., J.C.).
Natalia A Trayanova *Alliance for Cardiovascular Diagnostic and Treatment Innovation, Johns Hopkins University (K.N.A., R.L.A., A.P., J.B.H., J.L., F.T., N.A.T.).
Johns Hopkins University · USJohns Hopkins Hospital · US

Funding

PATHOPHYSIOLOGY OF MYOCARDIAL DISEASEST32HL007227 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI Chulan Kwon, WENDY S POST · 1985 to 2026
$21.2M
Virtual Electrophysiology LaboratoryDP1HL123271 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI TRAYANOVA, NATALIA A. · 2013 to 2017
$4.0M
Simulation Guidance of Ablation Therapy for Persistent Atrial FibrillationU01HL141074 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI CALKINS, HUGH G, TRAYANOVA, NATALIA A. · 2018 to 2021
$3.1M
Infarct-related Ventricular Tachycardia Mechanisms: From Micro to ClinicalR01HL142496 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI TRAYANOVA, NATALIA A. · 2019 to 2022
$3.1M
Exploration of Arrhythmogenic Triggers and Substrates in Heart FailureR01HL126802 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI EFIMOV, IGOR R, GORELIK, JULIA · 2016 to 2019
$2.8M
Implications of Intra-Myocardial Fat Deposition upon Propensity for Malignant ArrhythmiaR01HL142893 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI NAZARIAN, SAMAN, TRAYANOVA, NATALIA A. · 2018 to 2021
$2.5M
NHLBI NIH HHS DP1 HL123271NHLBI NIH HHS R01 HL126802NHLBI NIH HHS R01 HL142496NHLBI NIH HHS R01 HL142893NHLBI NIH HHS T32 HL007227NHLBI NIH HHS U01 HL141074
6 · The paper itself

Abstract

backgroundCharacterizing myocardial conduction velocity (CV) in patients with ischemic cardiomyopathy (ICM) and ventricular tachycardia (VT) is important for understanding the patient-specific proarrhythmic substrate of VTs and therapeutic planning. The objective of this study is to accurately assess the relation between CV and myocardial fibrosis density on late gadolinium-enhanced cardiac magnetic resonance imaging (LGE-CMR) in patients with ICM.

methodsWe enrolled 6 patients with ICM undergoing VT ablation and 5 with structurally normal left ventricles (controls) undergoing premature ventricular contraction or VT ablation. All patients underwent LGE-CMR and electroanatomic mapping (EAM) in sinus rhythm (2960 electroanatomic mapping points analyzed). We estimated CV from electroanatomic mapping local activation time using the triangulation method that provides an accurate estimate of CV as it accounts for the direction of wavefront propagation. We evaluated the association between LGE-CMR intensity and CV with multilevel linear mixed models.

resultsMedian CV in patients with ICM and controls was 0.41 m/s and 0.65 m/s, respectively. In patients with ICM, CV in areas with no visible fibrosis was 0.81 m/s (95% CI, 0.59-1.12 m/s). For each 25% increase in normalized LGE intensity, CV decreased by 1.34-fold (95% CI, 1.25-1.43). Dense scar areas have, on average, 1.97- to 2.66-fold slower CV compared with areas without dense scar. Ablation lesions that terminated VTs were localized in areas of slow conduction on CV maps.

conclusionsCV is inversely associated with LGE-CMR fibrosis density in patients with ICM. Noninvasive derivation of CV maps from LGE-CMR is feasible. Integration of noninvasive CV maps with electroanatomic mapping during substrate mapping has the potential to improve procedural planning and outcomes. Visual Overview: A visual overview is available for this article.

Indexed as

Electrophysiologic Techniques, CardiacHeart RateMagnetic Resonance ImagingVentricular FunctionAction PotentialsAgedCatheter AblationClinical Decision-MakingFemaleFibrosisHumansMaleMiddle AgedMyocardial InfarctionMyocardiumPredictive Value of Testsfibrosisgadoliniuminfarctionmagnetic resonance imagingtachycardia

Identifiers

PMID32191131
PMCPMC7196439
OpenAlexW3011008575

What OpenQuestion holds

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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.