Evidence map›Paper›PMID 31693015›Full record

ArticleIEEE Life Sciences Conference. Life Sciences Conference2018

Development of a Rotor-Mapping Algorithm to Locate Ablation Targets During Atrial Fibrillation.

Prasanth Ganesan, Elizabeth M Cherry, Arkady M Pertsov, Behnaz Ghoraani

Abstract read
In one paragraph

Article in IEEE Life Sciences Conference. Life Sciences Conference, 2018. 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
–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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Prasanth GanesanDepartment of Electrical Engineering, Florida Atlantic University.
Elizabeth M CherrySchool of Mathematical Sciences, Rochester Institute of Technology.
Arkady M PertsovDepartment of Pharmocology, Upstate Medical University.
Behnaz GhoraaniDepartment of Electrical Engineering, Florida Atlantic University.

Funding

Catheter Guidance Algorithm for Identification of Atrial Fibrillation Ablation TargetsR15HL127663 · NHLBI · ROCHESTER INSTITUTE OF TECHNOLOGY · PI GHORAANI, BEHNAZ · 2015 to 2015
$456k
NHLBI NIH HHS R15 HL127663
6 · The paper itself

Abstract

Catheter ablation therapy involving isolation of pulmonary veins (PVs) remains the cornerstone procedure to treat AF. However, due to the sub-optimal success rates of PV isolation, there is a need for new ablation techniques to locate AF ablation targets known as rotors, outside of the PVs. In this paper, we developed a novel rotor-mapping algorithm that uses a conventional diagnostic catheter, Lasso, to locate a rotor source. The algorithm, called the Region of Rotor (ROR) Mapping, utilizes the characteristics of local bipolar electrograms to navigate the catheter's iterative placements while generating a map, overlaid on the atrial anatomy, that displays the potential rotor region. We evaluated the developed ROR mapping algorithm using a 2D simulation of AF on a tissue with heterogeneous conduction properties. The results demonstrated a significant success rate of 93% in accurately locating the region of the rotor with a mean distance of 1.4mm from the ground truth trajectory. The algorithm could play a critical role in mapping non-PV AF ablation targets and improving the outcome of AF ablation.

Indexed as

AF ablationatrial fibrillationintra-atrial electrogramsnon-PV ablation targetsrotor-mapping

Identifiers

PMID31693015
PMCPMC6830728

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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.