ArticleJournal of biophotonics2019
Characterization of the human myocardium by optical coherence tomography.
Article in Journal of biophotonics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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.
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.
Who cites it
10 citing papers in PubMed.
- Evaluation of radio frequency ablation in human left atrial tissues for atrial fibrillation using optical coherence tomography.Biomedical optics express · 2025Article
- Full-Field Assessment of Geometry and Collagenous Architecture of Porcine Valve Leaflets via Laser Micrometry and Quantitative Polarized Light Imaging.Journal of biophotonics · 2025Article
- Review
- Cardiac Adipose Tissue Segmentation via Image-Level Annotations.IEEE journal of biomedical and health informatics · 2023Article
- Automated analysis framework forBiomedical optics express · 2023Article
- Morpho-molecular signal correlation between optical coherence tomography and Raman spectroscopy for superior image interpretation and clinical diagnosis.Scientific reports · 2021Article
- 3-D compressed sensing optical coherence tomography using predictive coding.Biomedical optics express · 2021Article
- Diagnosing colorectal abnormalities using scattering coefficient maps acquired from optical coherence tomography.Journal of biophotonics · 2021Article
- Heterogeneity Measurement of Cardiac Tissues Leveraging Uncertainty Information from Image Segmentation.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2020Article
- Imaging of subendocardial adipose tissue and fiber orientation distributions in the human left atrium using optical coherence tomography.Journal of cardiovascular electrophysiology · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Imaging of cardiac tissue structure plays a critical role in the treatment and understanding of cardiovascular disease. Optical coherence tomography (OCT) offers the potential to provide valuable, high-resolution imaging of cardiac tissue. However, there is a lack of comprehensive OCT imaging data of the human heart, which could improve identification of structural substrates underlying cardiac abnormalities. The objective of this study was to provide qualitative and quantitative analysis of OCT image features throughout the human heart. Fifty human hearts were acquired, and tissues from all chambers were imaged with OCT. Histology was obtained to verify tissue composition. Statistical differences between OCT image features corresponding to different tissue types and chambers were estimated using analysis of variance. OCT imaging provided features that were able to distinguish structures such as thickened collagen, as well as adipose tissue and fibrotic myocardium. Statistically significant differences were found between atria and ventricles in attenuation coefficient, and between adipose and all other tissue types. This study provides an overview of OCT image features throughout the human heart, which can be used for guiding future applications such as OCT-integrated catheter-based treatments or ex vivo investigation of structural substrates.
Indexed as
Identifiers
What OpenQuestion holds
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.