ArticleJournal of biomedical optics2016
Automated classification of optical coherence tomography images of human atrial tissue.
Article in Journal of biomedical optics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled 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.
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
34 citing papers in PubMed, 1 synthesis or guideline pooled it, 60 citations in OpenAlex.
- Imaging technologies for cardiac fiber and heart failure: a review.Heart failure reviews · 2018Pooled it
- Robust, high-density lesion mapping in the left atrium with near-infrared spectroscopy.Journal of biomedical optics · 2024Article
- Depth-dependent attenuation and backscattering characterization of optical coherence tomography by stationary iterative method.Journal of biomedical optics · 2023Article
- Cardiac Adipose Tissue Segmentation via Image-Level Annotations.IEEE journal of biomedical and health informatics · 2023Article
- Multimodal Raman spectroscopy and optical coherence tomography for biomedical analysis.Journal of biophotonics · 2023Review
- Wide-field optical coherence tomography for microstructural analysis of key tissue types: a proof-of-concept evaluation.Pathology oncology research : POR · 2023Article
- Cardiac endocardial left atrial substrate and lesion depth mapping using near-infrared spectroscopy.Biomedical optics express · 2022Article
- Classification of oral salivary gland tumors based on texture features in optical coherence tomography images.Lasers in medical science · 2022Article
- Method for parametric imaging of attenuation by intravascular optical coherence tomography.Biomedical optics express · 2021Article
- 3-D compressed sensing optical coherence tomography using predictive coding.Biomedical optics express · 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
- Development of a polarized hyperspectral microscope for cardiac fiber orientation imaging.Proceedings of SPIE--the International Society for Optical Engineering · 2020Article
- Characterization of the human myocardium by optical coherence tomography.Journal of biophotonics · 2019Article
- Imaging of subendocardial adipose tissue and fiber orientation distributions in the human left atrium using optical coherence tomography.Journal of cardiovascular electrophysiology · 2019Article
- Histogram analysis of en face scattering coefficient map predicts malignancy in human ovarian tissue.Journal of biophotonics · 2019Article
- Towards real-time multispectral endoscopic imaging for cardiac lesion quality assessment.Biomedical optics express · 2019Article
- Optical coherence tomography imaging of cardiac substrates.Quantitative imaging in medicine and surgery · 2019Review
- Real-time optical spectroscopic monitoring of nonirrigated lesion progression within atrial and ventricular tissues.Journal of biophotonics · 2019Article
- Most Promising Therapies in Interventional Cardiology.Current cardiology reports · 2019Review
- Mapping the human pulmonary venoatrial junction with optical coherence tomography.Biomedical optics express · 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
5 authors at 3 institutions in 1 country.
Funding
Abstract
Tissue composition of the atria plays a critical role in the pathology of cardiovascular disease, tissue remodeling, and arrhythmogenic substrates. Optical coherence tomography (OCT) has the ability to capture the tissue composition information of the human atria. In this study, we developed a region-based automated method to classify tissue compositions within human atria samples within OCT images. We segmented regional information without prior information about the tissue architecture and subsequently extracted features within each segmented region. A relevance vector machine model was used to perform automated classification. Segmentation of human atrial ex vivo datasets was correlated with trichrome histology and our classification algorithm had an average accuracy of 80.41% for identifying adipose, myocardium, fibrotic myocardium, and collagen tissue compositions.
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.