Evidence map›Paper›PMID 40737441›Full record

ReviewInterdisciplinary cardiovascular and thoracic surgery2025

Role of Computational Modelling in Enhancing Thermal Safety During Cardiac Ablation.

Leila Seidabadi, Indra Vandenbussche, Rowan Carter Fink, MacKenzie Moore, Bailey McCorkendale, Fateme Esmailie

Abstract readReview
In one paragraph

Review in Interdisciplinary cardiovascular and thoracic surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Leila SeidabadiDepartment of Biomedical Engineering, University of North Texas, Denton, TX 76207, United States.
Indra VandenbusscheDepartment of Biomedical Engineering, University of North Texas, Denton, TX 76207, United States.
Rowan Carter FinkDepartment of Biomedical Engineering, University of North Texas, Denton, TX 76207, United States.
MacKenzie MooreDepartment of Biomedical Engineering, University of North Texas, Denton, TX 76207, United States.
Bailey McCorkendaleDepartment of Biomedical Engineering, University of North Texas, Denton, TX 76207, United States.
Fateme EsmailieDepartment of Biomedical Engineering, University of North Texas, Denton, TX 76207, United States.ORCID 0000-0003-1759-0054

Funding

American Heart Association 25AIREA1378320Field Medical, Inc GFP00144University of North Texas for funding this research
6 · The paper itself

Abstract

objectivesIn this narrative review, we aim to provide an analysis of current cardiac ablation techniques, such as radiofrequency ablation, cryoablation, and pulsed-field ablation, with a focus on the role of computational modelling in enhancing the precision, safety, and effectiveness of these treatments. Particular attention is given to thermal management, exploring how computational approaches contribute to understanding and controlling energy delivery, heat distribution, and tissue response during ablation procedures.

methodsWe conducted this narrative review based on our expertise and a targeted search using over 50 keywords across major databases. We selected studies for their relevance, impact, and methodological rigor, and included additional references suggested during peer review. While we did not follow a systematic protocol, our approach ensured broad coverage of key developments and emerging trends in the field. We then presented the mechanisms, applications, and limitations of radiofrequency ablation, cryoablation, and pulsed-field ablation. Additionally, we discussed the use of computational approaches, including numerical methods and artificial intelligence based models, for evaluating energy distribution, lesion size, and tissue response during ablation procedures.

resultsComputational methods can be used to predict ablation treatment outcomes and help optimize lesion size, ablation parameters, and procedural safety. However, these models are only reliable when properly validated and verified.

conclusionsFurther research is essential to collect reliable in vivo data for validating computational models and integrating them into clinical practice to improve patient outcomes.

Indexed as

Ablation TechniquesCatheter AblationComputer SimulationCryosurgeryModels, CardiovascularHot TemperatureHumanscardiac ablationcomputational modellingenergy distributionlesion formationpatient-specific outcomes

Identifiers

PMID40737441
PMCPMC12360848

What OpenQuestion holds

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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.