Evidence map›Paper›PMID 40360792›Full record

ReviewNature cardiovascular research2025

Cardiovascular imaging techniques for electrophysiologists.

Albert J Rogers, Olga Reynbakh, Adnan Ahmed, Mina K Chung, Rishi Charate, Hirad Yarmohammadi, Rakesh Gopinathannair, Hassan Khan, Dhanunjaya Lakkireddy, Miguel Leal and 3 more

Abstract readReview
In one paragraph

Review in Nature cardiovascular research, 2025. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

13 authors.

Albert J RogersDivision of Cardiovascular Medicine and Cardiovascular Institute, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0001-6585-534X
Olga ReynbakhDivision of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA.
Adnan AhmedKansas City Heart Rhythm Institute and Research Foundation, Overland Park, KS, USA.
Mina K ChungHeart, Vascular and Thoracic Institute and Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA.
Rishi CharateKansas City Heart Rhythm Institute and Research Foundation, Overland Park, KS, USA.
Hirad YarmohammadiDivision of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA.
Rakesh GopinathannairKansas City Heart Rhythm Institute and Research Foundation, Overland Park, KS, USA.
Hassan KhanNorton Heart Specialists, Norton Healthcare, Louisville, KY, USA.
Dhanunjaya LakkireddyKansas City Heart Rhythm Institute and Research Foundation, Overland Park, KS, USA.
Miguel LealDivision of Cardiology, Department of Medicine, Emory University, Atlanta, GA, USA.
Uma SrivatsaDivision of Cardiovascular Medicine, University of California Davis Medical Center, Davis, CA, USA.
Natalia TrayanovaDepartment of Biomedical Engineering and the Institute for Computational Medicine, Johns Hopkins University Baltimore, Baltimore, MD, USA.ORCID http://orcid.org/0000-0002-8661-063X
Elaine Y WanDivision of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA. eyw2003@cumc.columbia.edu.ORCID http://orcid.org/0000-0002-5328-7282

Funding

Artificial intelligence analysis of atrial remodeling evolution in patients with atrial fibrillation: Towards optimal ablation strategiesR01HL166759 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI Eugene Kholmovski, David Spragg · 2023 to 2026
$3.2M
Heart Digital Twin Analysis of Arrhythmias due to Infiltrating AdiposityR01HL174440 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI NATALIA A. TRAYANOVA · 2024 to 2026
$2.1M
Precision imaging of electromechanical coupling for non-invasive cardiac arrhythmia mappingR01HL170606 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Angelo Biviano, Elisa E. Konofagou · 2024 to 2026
$2.1M
Understanding the role of mitochondrial dysfunction in cardiac arrhythmias using a novel 3D panoramic optical mapping systemR01HL152236 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI WAN, ELAINE Y · 2020 to 2024
$2.0M
Electrical Mapping Signatures of Adverse Structural and Functional Remodeling in Ventricular ArrhythmiaK23HL166977 · NHLBI · STANFORD UNIVERSITY · PI Albert Joseph Rogers · 2023 to 2026
$680k
American Heart Association-American Stroke Association 23CDA933663NHLBI NIH HHS K23 HL166977NHLBI NIH HHS R01 HL152236NHLBI NIH HHS R01 HL166759NHLBI NIH HHS R01 HL170606NHLBI NIH HHS R01 HL174440
6 · The paper itself

Abstract

Rapid technological advancements in noninvasive and invasive imaging including echocardiography, computed tomography, magnetic resonance imaging and positron emission tomography have allowed for improved anatomical visualization and precise measurement of cardiac structure and function. These imaging modalities allow for evaluation of how cardiac substrate changes, such as myocardial wall thickness, fibrosis, scarring and chamber enlargement and/or dilation, have an important role in arrhythmia initiation and perpetuation. Here, we review the various imaging techniques and modalities used by clinical and basic electrophysiologists to study cardiac arrhythmia mechanisms, periprocedural planning, risk stratification and precise delivery of ablation therapy. We also review the use of artificial intelligence and machine learning to improve identification of areas for triggered activity and isthmuses in reentrant arrhythmias, which may be favorable ablation targets.

Indexed as

Arrhythmias, CardiacCardiac Imaging TechniquesElectrophysiologic Techniques, CardiacAction PotentialsAnimalsHeart RateHumansMachine LearningPredictive Value of TestsPrognosis

Identifiers

PMID40360792
PMCPMC13575915

What Socratic holds

Textmetadata
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 Socratic graph.