Evidence map›Paper›PMID 42010019›Full record

ArticleNature cardiovascular research2026

Three-dimensional visualization of arrhythmogenic substrate in mouse hearts using panoramic optical mapping and micro-computed tomography.

Lea Melki, Uma Mahesh R Avula, Pavithran Guttipatti, Ruiping Ji, Najla Saadallah, Muhammad Shaher Yar, Jonah A Majumder, Albert Fang, Amar Desai, Naoko Yamaguchi and 6 more

Abstract read
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In one paragraph

Article in Nature cardiovascular research, 2026. 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

16 authors.

Lea Melki *Division of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA.
Uma Mahesh R Avula *Division of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA.
Pavithran GuttipattiDivision of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA.
Ruiping JiDivision of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA.
Najla SaadallahDivision of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA.
Muhammad Shaher YarFaculty of Science and Engineering, Abo Akademi University, Turku, Finland.ORCID http://orcid.org/0009-0002-8266-3854
Jonah A MajumderDepartment of Biomedical Engineering, Columbia University, New York, NY, USA.
Albert FangDivision of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA.
Amar DesaiDivision of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA.
Naoko YamaguchiThe Leon H. Charney Division of Cardiology, New York University Grossman School of Medicine, New York, NY, USA.
David S ParkThe Leon H. Charney Division of Cardiology, New York University Grossman School of Medicine, New York, NY, USA.
Ashwin ViswanathanDepartment of Neurological Surgery, Columbia University Irving Medical Center, New York, NY, USA.
Karen ConboyDepartment of Neurological Surgery, Columbia University Irving Medical Center, New York, NY, USA.
Brian GillDepartment of Neurological Surgery, Columbia University Irving Medical Center, New York, NY, USA.
Christine P HendonDepartment of Biomedical Engineering, Columbia University, New York, NY, USA.
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

U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) HL152236
6 · The paper itself

Abstract

Electrical and structural remodeling of the heart can contribute to the development of cardiac arrhythmias. Ex vivo optical mapping has been used to visualize cardiac electrophysiological properties, activation and phase maps to further elucidate the mechanisms of atrial fibrillation and ventricular fibrillation initiation and persistence. Here we show an epicardial three-dimensional panoramic optical mapping tool integrated with micro-computed tomography automatically segmented with a deep learning model relying on a convolutional neural network to provide structural and electrical activation information in a single three-dimensional volume of a mouse heart. This technique allows for the acquisition and analysis of electrical activity of the entire epicardial surface with submillimeter spatial resolution and a temporal resolution of 1 ms. We establish the use of this method in transgenic mouse hearts with spontaneous atrial fibrillation and ventricular fibrillation, and mouse surgical models of myocardial infarction and left ventricular hypertrophy.

Indexed as

Heart RateImaging, Three-DimensionalVentricular FibrillationVoltage-Sensitive Dye ImagingX-Ray MicrotomographyAction PotentialsAnimalsArrhythmias, CardiacConvolutional Neural NetworksDisease Models, AnimalHypertrophy, Left VentricularMiceMice, Inbred C57BLMice, TransgenicMyocardial Infarction

Identifiers

PMID42010019

What OpenQuestion 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 OpenQuestion graph.