Evidence map›Paper›PMID 40171523›Full record

ArticleEuropean heart journal. Imaging methods and practice2025

Identification of atrial myopathy and atrial fibrillation recurrence after ablation using 3D left atrial phasic strain from retrospective gated computed tomography.

Charles Sillett, Orod Razeghi, Tiffany M G Baptiste, Angela W C Lee, Jose Alonso Solis Lemus, Cristobal Rodero, Caroline H Roney, Ruibin Feng, Prasanth Ganesan, Hui Ju Chang and 6 more

Registry-linked trialAbstract read
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In one paragraph

Article in European heart journal. Imaging methods and practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02997254 (COMparison of Physiological Algorithms for Real-time Evaluation of Atrial Fibrillation), which is not on this 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.

NCT02997254 recruitingnot on this map

COMparison of Physiological Algorithms for Real-time Evaluation of Atrial Fibrillation

TypeobservationalSponsorStanford UniversityRan2016 to 2027Enrolled1,000ConditionsAtrial Fibrillation, Abnormal Heart Rhythms
3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  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

16 authors.

Charles SillettSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.ORCID https://orcid.org/0000-0003-2930-7818
Orod RazeghiSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Tiffany M G BaptisteSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Angela W C LeeSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Jose Alonso Solis LemusSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Cristobal RoderoCardiac Electro Mechanics Research Group, National Heart and Lung Institute, Imperial College London, London W12 0NN, UK.
Caroline H RoneySchool of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Ruibin FengCardiovascular Institute, Stanford University, Stanford, CA, USA.ORCID https://orcid.org/0000-0002-0777-8195
Prasanth GanesanCardiovascular Institute, Stanford University, Stanford, CA, USA.
Hui Ju ChangCardiovascular Institute, Stanford University, Stanford, CA, USA.
Paul CloptonCardiovascular Institute, Stanford University, Stanford, CA, USA.ORCID https://orcid.org/0000-0002-0642-0861
Nick LintonCardiac Electro Mechanics Research Group, National Heart and Lung Institute, Imperial College London, London W12 0NN, UK.
Ronak RajaniSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.ORCID https://orcid.org/0000-0002-8816-6296
A J RogersCardiovascular Institute, Stanford University, Stanford, CA, USA.
Sanjiv M NarayanCardiovascular Institute, Stanford University, Stanford, CA, USA.
Steven A NiedererSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.

Funding

The Dynamics of Human Atrial FibrillationR01HL083359 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Sanjiv M Narayan · 2008 to 2026
$7.9M
Machine Learning in Atrial FibrillationR01HL149134 · NHLBI · STANFORD UNIVERSITY · PI NARAYAN, SANJIV M · 2020 to 2024
$3.8M
Using Atrial Mechanics To Identify Fibrosis In Patients with Atrial FibrillationR01HL152256 · NHLBI · STANFORD UNIVERSITY · PI ENNIS, DANIEL B · 2020 to 2023
$2.8M
Machine Learning for Ventricular ArrhythmiasR01HL162260 · NHLBI · STANFORD UNIVERSITY · PI Sanjiv M Narayan · 2023 to 2026
$2.5M
NHLBI NIH HHS R01 HL083359NHLBI NIH HHS R01 HL149134NHLBI NIH HHS R01 HL152256NHLBI NIH HHS R01 HL162260
6 · The paper itself

Abstract

Aims: Reduced left atrial (LA) mechanical function associates with atrial myopathy and adverse clinical endpoints in atrial fibrillation (AF) patients; however, conventional 2D imaging modalities are limited by atrial foreshortening and sub-optimally capture 3D LA motion. Objectives: We set out to test the hypothesis that 3D LA motion features from 4D (3D + time) retrospective gated computed tomography (RGCT) associate with AF phenotypes and predict AF recurrence in patients undergoing catheter ablation. Methods and results: Sixty-nine AF patients (60.8 ± 12.2 years, 39% female, 30% non-paroxysmal AF) who were indicated for CT coronary angiography including a RGCT protocol in sinus rhythm prior to ablation were included. We measured 3D LA endocardial motion by optimized 3D feature tracking and calculated 3D global and regional phasic strain and peak strain rates (SRs). AF recurrence was observed in 18 patients (26%) at 1-year. Global reservoir strain ( Conclusion: Reduced passive and active 3D LA motion from 4D RGCT associates with more advanced AF and AF recurrence post-ablation, respectively. Future work should extend this approach to larger populations, with new low-radiation CT technologies to widen its applicability.

Indexed as

atrial fibrillationcatheter ablationmyocardial strainretrospective gated computed tomography

Identifiers

PMID40171523
PMCPMC11959267

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Registered trials

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.