Evidence map›Paper›PMID 34649726›Full record

ArticleJournal of electrocardiology

Combining endocardial mapping and electrocardiographic imaging (ECGI) for improving PVC localization: A feasibility study.

Wilson W Good, Brian Zenger, Jake A Bergquist, Lindsay C Rupp, Karli Gillette, Nathan Angel, Derrick Chou, Gernot Plank, Rob S MacLeod

Open access · greenAbstract read
In one paragraph

Article in Journal of electrocardiology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 38% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Electrocardiographic imaging in the atria.Medical & biological engineering & computing · 2023
    Review
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 2 institutions in 2 countries.

Wilson W GoodScientific Computing and Imaging Institute, University of Utah, SLC, UT, USA; Department of Biomedical Engineering, University of Utah, SLC, UT, USA; Nora Eccles Cardiovascular Research and Training Institute, University of Utah, SLC, UT, USA; Acutus Medical, Carlsbad, CA, USA. Electronic address: wilsonwgood@gmail.com.
Brian ZengerScientific Computing and Imaging Institute, University of Utah, SLC, UT, USA; Department of Biomedical Engineering, University of Utah, SLC, UT, USA; Nora Eccles Cardiovascular Research and Training Institute, University of Utah, SLC, UT, USA.
Jake A BergquistScientific Computing and Imaging Institute, University of Utah, SLC, UT, USA; Department of Biomedical Engineering, University of Utah, SLC, UT, USA; Nora Eccles Cardiovascular Research and Training Institute, University of Utah, SLC, UT, USA.
Lindsay C RuppScientific Computing and Imaging Institute, University of Utah, SLC, UT, USA; Department of Biomedical Engineering, University of Utah, SLC, UT, USA; Nora Eccles Cardiovascular Research and Training Institute, University of Utah, SLC, UT, USA.
Karli GilletteInstitute of Biophysics, Medical University of Graz, Graz, Austria.
Nathan AngelAcutus Medical, Carlsbad, CA, USA.
Derrick ChouAcutus Medical, Carlsbad, CA, USA.
Gernot PlankInstitute of Biophysics, Medical University of Graz, Graz, Austria.
Rob S MacLeodScientific Computing and Imaging Institute, University of Utah, SLC, UT, USA; Department of Biomedical Engineering, University of Utah, SLC, UT, USA; Nora Eccles Cardiovascular Research and Training Institute, University of Utah, SLC, UT, USA.
University of Utah · USMedical University of Graz · AT

Funding

TRD - VisualizationP41GM103545 · NIGMS · UNIVERSITY OF UTAH · PI MACLEOD, ROB S. · 2012 to 2019
$9.7M
Center for Integrative Biomedical Computing Legacy TransitionR24GM136986 · NIGMS · UNIVERSITY OF UTAH · PI JOHNSON, CHRISTOPHER R., MACLEOD, ROB S. · 2020 to 2022
$1.6M
Novel Characterization and Detection Techniques for Acute Myocardial IschemiaF30HL149327 · NHLBI · UNIVERSITY OF UTAH · PI ZENGER, BRIAN · 2020 to 2022
$117k
NHLBI NIH HHS F30 HL149327NIGMS NIH HHS P41 GM103545NIGMS NIH HHS R24 GM136986
6 · The paper itself

Abstract

introductionAccurate reconstruction of cardiac activation wavefronts is crucial for clinical diagnosis, management, and treatment of cardiac arrhythmias. Furthermore, reconstruction of activation profiles within the intramural myocardium has long been impossible because electrical mapping was only performed on the endocardial surface. Recent advancements in electrocardiographic imaging (ECGI) have made endocardial and epicardial activation mapping possible. We propose a novel approach to use both endocardial and epicardial mapping in a combined approach to reconstruct intramural activation times.

objectiveTo implement and validate a combined epicardial/endocardial intramural activation time reconstruction technique.

methodsWe used 11 simulations of ventricular activation paced from sites throughout myocardial wall and extracted endocardial and epicardial activation maps at approximate clinical resolution. From these maps, we interpolated the activation times through the myocardium using thin-plate-spline radial basis functions. We evaluated activation time reconstruction accuracy using root-mean-squared error (RMSE) of activation times and the percent of nodes within 1 ms of the ground truth.

resultsReconstructed intramural activation times showed an RMSE and percentage of nodes within 1 ms of the ground truth simulations of 3 ms and 70%, respectively. In the worst case, the RMSE and percentage of nodes were 4 ms and 60%, respectively.

conclusionWe showed that a simple, yet effective combination of clinical endocardial and epicardial activation maps can accurately reconstruct intramural wavefronts. Furthermore, we showed that this approach provided robust reconstructions across multiple intramural stimulation sites.

Indexed as

ElectrocardiographyBody Surface Potential MappingCardiac Pacing, ArtificialFeasibility StudiesHumansCardiac simulationPVC localizationVolumetric activation timesWavefront reconstruction

Identifiers

PMID34649726
PMCPMC9014370
OpenAlexW3204487240

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.