Evidence map›Paper›PMID 38559058›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Understanding the Utility of Endocardial Electrocardiographic Imaging in Epi-Endocardial Mapping of 3D Reentrant Circuits.

Maryam Toloubidokhti, Omar A Gharbia, Adityo Parkosa, Natalia Trayanova, Alexios Hadjis, Roderick Tung, Saman Nazarian, John L Sapp, Linwei Wang

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

9 authors at 7 institutions in 2 countries.

Maryam ToloubidokhtiCollege of Computing and Information Sciences, Rochester Institute of Technology, Rochester, NY, USA.ORCID 0000-0003-2923-441X
Omar A GharbiaDepartment of Otolaryngology, School of Medicine, University of Utah, Salt Lake City, UT, USA.ORCID 0000-0003-2783-6767
Adityo ParkosaDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.ORCID 0000-0002-1590-0322
Natalia TrayanovaDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.ORCID 0000-0002-8661-063X
Alexios HadjisHôpital du Sacré-Cœur de Montréal, Montreal, Quebec, Canada.ORCID 0000-0003-3094-1648
Roderick TungCollege of Medicine, University of Arizona, AZ, USA.ORCID 0000-0002-8513-1303
Saman NazarianSchool of Medicine, University of Pennsylvania, Philadelphia, USA.ORCID 0000-0002-8369-0259
John L SappDepartment of Medicine, QEII Health Sciences Centre, Halifax, NS, Canada.ORCID 0000-0002-9602-2751
Linwei WangCollege of Computing and Information Sciences, Rochester Institute of Technology, Rochester, NY, USA.ORCID 0000-0002-5678-2369
Johns Hopkins University · USRochester Institute of Technology · USCalifornia University of Pennsylvania · USHealth Sciences Centre · CAHôpital du Sacré-Cœur de Montréal · CAUniversity of Arizona · USUniversity of Utah · US

Funding

Automating Real-Time Localization of Target Sites in Catheter Ablation of Ventricular TachycardiaR15HL140500 · NHLBI · ROCHESTER INSTITUTE OF TECHNOLOGY · PI WANG, LINWEI · 2018 to 2018
$420k
NHLBI NIH HHS R15 HL140500
6 · The paper itself

Abstract

Background: Studies of VT mechanisms are largely based on a 2D portrait of reentrant circuits on one surface of the heart. This oversimplifies the 3D circuit that involves the depth of the myocardium. Simultaneous epicardial and endocardial (epi-endo) mapping was shown to facilitate a 3D delineation of VT circuits, which is however difficult via invasive mapping. Objective: This study investigates the capability of noninvasive epicardial-endocardial electrocardiographic imaging (ECGI) to elucidate the 3D construct of VT circuits, emphasizing the differentiation of epicardial, endocardial, and intramural circuits and to determine the proximity of mid-wall exits to the epicardial or endocardial surfaces. Methods: 120-lead ECGs of VT in combination with subject-specific heart-torso geometry are used to compute unipolar electrograms (CEGM) on ventricular epicardium and endocardia. Activation isochrones are constructed, and the percentage of activation within VT cycle length is calculated on each surface. This classifies VT circuits into 2D (surface only), uniform transmural, nonuniform transmural, and mid-myocardial (focal on surfaces). Furthermore, the endocardial breakthrough time was accurately measured using Laplacian eigenmaps, and by correlating the delay time of the epi-endo breakthroughs, the relative distance of a mid-wall exit to the epicardium or the endocardium surfaces was identified. Results: We analyzed 23 simulated and in-vivo VT circuits on post-infarction porcine hearts. In simulated circuits, ECGI classified 21% as 2D and 78% as 3D: 82.6% of these were correctly classified. The relative timing between epicardial and endocardial breakthroughs was correctly captured across all cases. In in-vivo circuits, ECGI classified 25% as 2D and 75% as 3D: in all cases, circuit exits and entrances were consistent with potential critical isthmus delineated from combined LGE-MRI and catheter mapping data. Conclusions: ECGI epi-endo mapping has the potential for fast delineation of 3D VT circuits, which may augment detailed catheter mapping for VT ablation.

Indexed as

3D Ventricular tachycardiaElectrocardiographic imagingEndocardial Breakthrough

Identifiers

PMID38559058
PMCPMC10980114
OpenAlexW4392894632

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.