Evidence map›Paper›PMID 31249352›Full record

ArticleScientific reports2019

Cardiovascular Magnetic Resonance-Based Three-Dimensional Structural Modeling and Heterogeneous Tissue Channel Detection in Ventricular Arrhythmia.

Jihye Jang, Hye-Jin Hwang, Cory M Tschabrunn, John Whitaker, Bjoern Menze, Elad Anter, Reza Nezafat

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 28% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

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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

7 authors at 3 institutions in 3 countries.

Jihye JangDepartment of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA.
Hye-Jin HwangDepartment of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA.
Cory M TschabrunnDepartment of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA.
John WhitakerDepartment of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA.
Bjoern MenzeDepartment of Computer Science, Technical University of Munich, Munich, Germany.
Elad AnterDepartment of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA.
Reza NezafatDepartment of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA. rnezafat@bidmc.harvard.edu.
Beth Israel Deaconess Medical Center · USHarvard University · USTechnical University of Munich · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Geometrical structure of the myocardium plays an important role in understanding the generation of arrhythmias. In particular, a heterogeneous tissue (HT) channel defined in cardiovascular magnetic resonance (CMR) has been suggested to correlate with conduction channels defined in electroanatomic mapping in ventricular tachycardia (VT). Despite the potential of CMR for characterization of the arrhythmogenic substrate, there is currently no standard approach to identify potential conduction channels. Therefore, we sought to develop a workflow to identify HT channel based on the structural 3D modeling of the viable myocardium within areas of dense scar. We focus on macro-level HT channel detection in this work. The proposed technique was tested in high-resolution ex-vivo CMR images in 20 post-infarct swine models who underwent an electrophysiology study for VT inducibility. HT channel was detected in 15 animals with inducible VT, whereas it was only detected in 1 out of 5 animal with non-inducible VT (P < 0.01, Fisher's exact test). The HT channel detected in the non-inducible animal was shorter than those detected in animals with inducible VTs (inducible-VT animals: 35 ± 14 mm vs. non-inducible VT animal: 9.94 mm). Electrophysiology study and histopathological analyses validated the detected HT channels. The proposed technique may provide new insights for understanding the macro-level VT mechanism.

Indexed as

Imaging, Three-DimensionalMagnetic Resonance ImagingModels, CardiovascularElectrophysiological PhenomenaHumansTachycardia, Ventricular

Identifiers

PMID31249352
PMCPMC6597699
OpenAlexW2955819679

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.