Evidence map›Paper›PMID 36178554›Full record

ArticleJournal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing2023

Automated conduction velocity estimation based on isochronal activation of heart chambers.

Michela Santurri, Jennifer Bonga, Maurizio Schmid, Filippo Maria Cauti, Francesco Solimene, Marco Polselli, Mauro Bura, Francesco Piccolo, Maurizio Malacrida, Gemma Pelargonio and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

3 citing papers in PubMed, 6 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

13 authors at 3 institutions in 1 country.

Michela SanturriBioLab3, Biomedical Engineering Laboratory, Roma Tre University, Rome, Italy.
Jennifer BongaBioLab3, Biomedical Engineering Laboratory, Roma Tre University, Rome, Italy.
Maurizio SchmidBioLab3, Biomedical Engineering Laboratory, Roma Tre University, Rome, Italy.
Filippo Maria CautiArrhythmology Unit, Hospital Fatebenefratelli Isola Tiberina-Gemelli Isola, Rome, Italy.
Francesco SolimeneElectrophysiology Unit, Clinica Montevergine, Mercogliano, Avellino, Italy.
Marco PolselliArrhythmology Unit, Hospital Fatebenefratelli Isola Tiberina-Gemelli Isola, Rome, Italy.
Mauro BuraBoston Scientific, Milan, Italy.
Francesco PiccoloBoston Scientific, Milan, Italy.
Maurizio MalacridaBoston Scientific, Milan, Italy.
Gemma PelargonioCardiovascular Sciences Department, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.
Francesco Raffaele SperaCardiovascular Sciences Department, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.
Stefano BianchiArrhythmology Unit, Hospital Fatebenefratelli Isola Tiberina-Gemelli Isola, Rome, Italy.
Pietro RossiArrhythmology Unit, Hospital Fatebenefratelli Isola Tiberina-Gemelli Isola, Rome, Italy. rossi.ptr@gmail.com.ORCID http://orcid.org/0000-0001-8930-5609
Fatebenefratelli Hospital · ITRoma Tre University · ITAgostino Gemelli University Polyclinic · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSpatial differences in conduction velocity (CV) are critical for cardiac arrhythmias induction. We propose a method for an automated CV calculation to identify areas of slower conduction during cardiac arrhythmias and sinus rhythm.

methodsColor-coded representations of the isochronal activation map using data coming from the RHYTHMIA™ Mapping System were reproduced by applying a temporal isochronal window at 20 ms. Geodesic distances of the 3D mesh were calculated using an algorithm selecting the minimum distance pathway (MDP). The CV estimation was performed considering points on the boundary of two spatially and temporally adjacent isochrones. For each of the boundary points of a given isochrone, the nearest boundary point of the consecutive isochrone was chosen, the MDP was evaluated, and a map of CV was created. The proposed method has been applied to a population of 29 patients.

resultsIn all cases of perimitral atrial flutter (16 pts out of 29 (55%)), areas with significantly low CV (< 30 cm/s) were found. Half of the cases present regions with low CV located in the anterior wall. No case with low CV at the so-called LA isthmus was observed. Right atrial maps during common atrial flutters showed low CV areas mainly located in the inferior inter-atrial septum. No areas of low CV were observed in subjects without a history of atrial arrhythmia while pts affected by paroxysmal AF showed areas with a limited extension of low CV.

conclusionsThe proposed software for automated CV estimation allows the identification of low CV areas, potentially helping electrophysiologists to plan the ablation strategy.

Indexed as

Atrial FibrillationAtrial FlutterCatheter AblationHeart AtriaHeart Conduction SystemHeart RateHumansArrhythmiasCardiac mappingConduction velocityGeodesic distanceIsochronal activation timeSlow conduction

Identifiers

PMID36178554
PMCPMC10066170
OpenAlexW4298087162

What OpenQuestion holds

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LicenceCC BY
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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.