ArticleScientific reports2020
Key factors behind autofluorescence changes caused by ablation of cardiac tissue.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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.
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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
7 citing papers in PubMed, 11 citations in OpenAlex.
- Panoramic hyperspectral optical mapping of cardiac membrane potential and tissue type.Journal of biomedical optics · 2026Article
- Image-Based Monitoring of Thermal Ablation.Bioengineering (Basel, Switzerland) · 2025Review
- A fur plucking model to study herpes simplex virus reactivation and recurrent disease.mSphere · 2024Article
- Robust, high-density lesion mapping in the left atrium with near-infrared spectroscopy.Journal of biomedical optics · 2024Article
- Monitoring of irrigated lesion formation with single fiber based multispectral system using machine learning.Journal of biophotonics · 2022Article
- Cardiac endocardial left atrial substrate and lesion depth mapping using near-infrared spectroscopy.Biomedical optics express · 2022Article
- Quantification of irrigated lesion morphology using near-infrared spectroscopy.Scientific reports · 2021Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Radiofrequency ablation is a commonly used clinical procedure that destroys arrhythmogenic sources in patients suffering from atrial fibrillation and other types of cardiac arrhythmias. To improve the success of this procedure, new approaches for real-time visualization of ablation sites are being developed. One of these promising methods is hyperspectral imaging, an approach that detects lesions based on changes in the endogenous tissue autofluorescence profile. To facilitate the clinical implementation of this approach, we examined the key variables that can influence ablation-induced spectral changes, including the drop in myocardial NADH levels, the release of lipofuscin-like pigments, and the increase in diffuse reflectance of the cardiac muscle beneath the endocardial layer. Insights from these experiments suggested simpler algorithms that can be used to acquire and post-process the spectral information required to reveal the lesion sites. Our study is relevant to a growing number of multilayered clinical targets to which spectral approaches are being applied.
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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.