Evidence map›Paper›PMID 30298012›Full record

ArticleFrontiers in physiology2018

A Computational Framework to Benchmark Basket Catheter Guided Ablation in Atrial Fibrillation.

Martino Alessandrini, Maddalena Valinoti, Laura Unger, Tobias Oesterlein, Olaf Dössel, Cristiana Corsi, Axel Loewe, Stefano Severi

Open access · goldAbstract read
In one paragraph

Article in Frontiers in physiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

14 citing papers in PubMed, 20 citations in OpenAlex.

  1. Role of Computational Modelling in Enhancing Thermal Safety During Cardiac Ablation.Interdisciplinary cardiovascular and thoracic surgery · 2025
    Review
  2. Computational modelling of biological systems now and then: revisiting tools and visions from the beginning of the century.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2025
    Review
  3. Article
  4. Article
  5. Applications of multimodality imaging for left atrial catheter ablation.European heart journal. Cardiovascular Imaging · 2021
    Review
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  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
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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

8 authors at 2 institutions in 2 countries.

Martino AlessandriniDepartment of Electronic Engineering and Information Technology, University of Bologna, Cesena, Italy.
Maddalena ValinotiDepartment of Electronic Engineering and Information Technology, University of Bologna, Cesena, Italy.
Laura UngerInstitute of Biomedical Engineering, Karlsruhe Institute of Technology, Karlsruhe, Germany.
Tobias OesterleinInstitute of Biomedical Engineering, Karlsruhe Institute of Technology, Karlsruhe, Germany.
Olaf DösselInstitute of Biomedical Engineering, Karlsruhe Institute of Technology, Karlsruhe, Germany.
Cristiana CorsiDepartment of Electronic Engineering and Information Technology, University of Bologna, Cesena, Italy.
Axel LoeweInstitute of Biomedical Engineering, Karlsruhe Institute of Technology, Karlsruhe, Germany.
Stefano SeveriInstitute of Biomedical Engineering, Karlsruhe Institute of Technology, Karlsruhe, Germany.
Karlsruhe Institute of Technology · DEUniversity of Bologna · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Catheter ablation is a curative therapeutic approach for atrial fibrillation (AF). Ablation of rotational sources based on basket catheter measurements has been proposed as a promising approach in patients with persistent AF to complement pulmonary vein isolation. However, clinically reported success rates are equivocal calling for a mechanistic investigation under controlled conditions. We present a computational framework to benchmark ablation strategies considering the whole cycle from excitation propagation to electrogram acquisition and processing to virtual therapy. Fibrillation was induced in a patient-specific 3D volumetric model of the left atrium, which was homogeneously remodeled to sustain reentry. The resulting extracellular potential field was sampled using models of grid catheters as well as realistically deformed basket catheters considering the specific atrial anatomy. The virtual electrograms were processed to compute phase singularity density maps to target rotor tips with up to three circular ablations. Stable rotors were successfully induced in different regions of the homogeneously remodeled atrium showing that rotors are not constrained to unique anatomical structures or locations. Density maps of rotor tip trajectories correctly identified and located the rotors (deviation < 10 mm) based on catheter recordings only for sufficient resolution (inter-electrode distance ≤3 mm) and proximity to the wall (≤10 mm). Targeting rotor sites with ablation did not stop reentries in the homogeneously remodeled atria independent from lesion size (1-7 mm radius), from linearly connecting lesions with anatomical obstacles, and from the number of rotors targeted sequentially (≤3). Our results show that phase maps derived from intracardiac electrograms can be a powerful tool to map atrial activation patterns, yet they can also be misleading due to inaccurate localization of the rotor tip depending on electrode resolution and distance to the wall. This should be considered to avoid ablating regions that are in fact free of rotor sources of AF. In our experience, ablation of rotor sites was not successful to stop fibrillation. Our comprehensive simulation framework provides the means to holistically benchmark ablation strategies

Indexed as

ablationatrial fibrillationbasket cathetercomputational modelingrotor

Identifiers

PMID30298012
PMCPMC6161611
OpenAlexW2889514029

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.