Trial reportComputers in biology and medicine2015
Assessing the atrial electromechanical coupling during atrial focal tachycardia, flutter, and fibrillation using electromechanical wave imaging in humans.
Trial report in Computers in biology and medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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.
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.
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Who cites it
9 citing papers in PubMed, 24 citations in OpenAlex.
- High-Frame-Rate Echocardiography: A New Frontier in Noninvasive Functional Assessment.Journal of clinical medicine · 2026Review
- Long-term atrial arrhythmia characterization and treatment efficacy evaluation using non-invasive echocardiography-based electromechanical cycle length mapping: a case series.European heart journal. Case reports · 2024Article
- Electromechanical Cycle Length Mapping for atrial arrhythmia detection and cardioversion success assessment.Computers in biology and medicine · 2023Article
- Adenosine and Adenosine Receptors: Advances in Atrial Fibrillation.Biomedicines · 2022Review
- Noninvasive localization of cardiac arrhythmias using electromechanical wave imaging.Science translational medicine · 2020Article
- Non-invasive Characterization of Focal Arrhythmia with Electromechanical Wave Imaging in Vivo.Ultrasound in medicine & biology · 2018Article
- Technical Note: A 3-D rendering algorithm for electromechanical wave imaging of a beating heart.Medical physics · 2017Article
- Electromechanical wave imaging (EWI) validation in all four cardiac chambers with 3D electroanatomic mapping in canines in vivo.Physics in medicine and biology · 2016Article
- Validation of electromechanical wave imaging in a canine model during pacing and sinus rhythm.Heart rhythm · 2016Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
Minimally-invasive treatments of cardiac arrhythmias such as radio-frequency ablation are gradually gaining importance in clinical practice but still lack a noninvasive imaging modality which provides insight into the source or focus of an arrhythmia. Cardiac deformations imaged at high temporal and spatial resolution can be used to elucidate the electrical activation sequence in normal and paced human subjects non-invasively and could potentially aid to better plan and monitor ablation-based arrhythmia treatments. In this study, a novel ultrasound-based method is presented that can be used to quantitatively characterize focal and reentrant arrhythmias. Spatio-temporal maps of the full-view of the atrial and ventricular mechanics were obtained in a single heartbeat, revealing with otherwise unobtainable detail the electromechanical patterns of atrial flutter, fibrillation, and tachycardia in humans. During focal arrhythmias such as premature ventricular complex and focal atrial tachycardia, the previously developed electromechanical wave imaging methodology is hereby shown capable of identifying the location of the focal zone and the subsequent propagation of cardiac activation. During reentrant arrhythmias such as atrial flutter and fibrillation, Fourier analysis of the strains revealed highly correlated mechanical and electrical cycle lengths and propagation patterns. High frame rate ultrasound imaging of the heart can be used non-invasively and in real time, to characterize the lesser-known mechanical aspects of atrial and ventricular arrhythmias, also potentially assisting treatment planning for intraoperative and longitudinal monitoring of arrhythmias.
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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.