Evidence map›Paper›PMID 36340481›Full record

ArticleHeart rhythm O22022

Integration of 3D nuclear imaging in 3D mapping system for ventricular tachycardia ablation in patients with implanted devices: Perfusion/voltage retrospective assessment of scar location.

Bernard Thibault, Louis-Philippe Richer, Luke C McSpadden, Kyungmoo Ryu, Martin Aguilar, Julia Cadrin-Tourigny, Rafik Tadros, Blandine Mondésert, Léna Rivard, Katia Dyrda and 8 more

Open access · goldAbstract read
In one paragraph

Article in Heart rhythm O2, 2022. 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
0.2field-weighted citation impact, top 50% 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, 2 citations in OpenAlex.

  1. 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

18 authors at 4 institutions in 2 countries.

Bernard ThibaultElectrophysiology Service, Montreal Heart Institute, Université de Montréal, Montreal, Canada.
Louis-Philippe RicherAbbott, Sylmar, California.
Luke C McSpaddenAbbott, Sylmar, California.
Kyungmoo RyuAbbott, Sylmar, California.
Martin AguilarElectrophysiology Service, Montreal Heart Institute, Université de Montréal, Montreal, Canada.
Julia Cadrin-TourignyElectrophysiology Service, Montreal Heart Institute, Université de Montréal, Montreal, Canada.
Rafik TadrosElectrophysiology Service, Montreal Heart Institute, Université de Montréal, Montreal, Canada.
Blandine MondésertElectrophysiology Service, Montreal Heart Institute, Université de Montréal, Montreal, Canada.
Léna RivardElectrophysiology Service, Montreal Heart Institute, Université de Montréal, Montreal, Canada.
Katia DyrdaElectrophysiology Service, Montreal Heart Institute, Université de Montréal, Montreal, Canada.
Marc DubucElectrophysiology Service, Montreal Heart Institute, Université de Montréal, Montreal, Canada.
Laurent MacleElectrophysiology Service, Montreal Heart Institute, Université de Montréal, Montreal, Canada.
Mario TalajicElectrophysiology Service, Montreal Heart Institute, Université de Montréal, Montreal, Canada.
Paul KhairyElectrophysiology Service, Montreal Heart Institute, Université de Montréal, Montreal, Canada.
Peter G GuerraElectrophysiology Service, Montreal Heart Institute, Université de Montréal, Montreal, Canada.
Denis RoyElectrophysiology Service, Montreal Heart Institute, Université de Montréal, Montreal, Canada.
Jean GrégoireNuclear Medicine Department, Montreal Heart Institute, Université de Montréal, Montreal, Canada.
François HarelNuclear Medicine Department, Montreal Heart Institute, Université de Montréal, Montreal, Canada.
Montreal Heart Institute · CAUniversité de Montréal · CADanaher (United States) · USAbbott (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The identification of low-voltage proarrhythmic areas for catheter ablation of scar-mediated ventricular tachycardia (VT) remains challenging. Integration of myocardial perfusion imaging (single-photon emission computed tomography/computed tomography; SPECT/CT) and electroanatomical mapping (EAM) may improve delineation of the arrhythmogenic substrate. Objective: To assess the feasibility of SPECT/CT image integration with voltage maps using the EnSite Precision system (Abbott) in patients undergoing scar-mediated VT ablation. Methods: Patients underwent SPECT/CT imaging prior to left ventricular (LV) EAM with the EnSite Precision mapping system. The SPECT/CT, EAM data, and ablation lesions were retrospectively co-registered in the EnSite Precision system and exported for analysis. Segmental tissue viability scores were calculated based on SPECT/CT perfusion and electrogram bipolar voltage amplitude. Concordance, specificity, and sensitivity between the 2 modalities as well as the impact of SPECT/CT spatial resolution were evaluated. Results: Twenty subjects (95% male, 67 ± 7 years old, left ventricular ejection fraction 36% ± 11%) underwent EAM and SPECT/CT integration. A concordance of 70% was found between EAM and SPECT/CT for identification of cardiac segments as scar vs viable, with EAM showing a 68.5% sensitivity and 76.4% specificity when using SPECT/CT as a gold standard. Projection on low-resolution 3D geometries led to an average decrease of 38% ± 22% of the voltage points used. Conclusion: The study demonstrated the feasibility of integrating SPECT/CT with EAM performed retrospectively for characterization of anatomical substrates during VT ablation procedures.

Indexed as

Implanted deviceIschemic scarPerfusion imagingSPECT/CTVentricular ischemiaVentricular tachycardiaVoltage mapping

Identifiers

PMID36340481
PMCPMC9626736
OpenAlexW4283581528

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.