ArticleCancer research2021
Spectral Endoscopy Enhances Contrast for Neoplasia in Surveillance of Barrett's Esophagus.
Article in Cancer research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
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
19 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.
- Noninvasive hemoglobin sensing and imaging: optical tools for disease diagnosis.Journal of biomedical optics · 2022Pooled it
- Hyperspectral reconstruction of white light endoscopy images for enhanced segmentation of early esophageal lesions in patients.iScience · 2026Article
- Multi-contrast laser endoscopy for in vivo gastrointestinal imaging.Npj imaging · 2026Article
- Prospective Identification of Dysplasia in Barrett's Esophagus With Combined Optical Coherence Tomography and Light Scattering Measurements.Journal of biophotonics · 2026Article
- Optical Imaging Technologies and Clinical Applications in Gastrointestinal Endoscopy.Diagnostics (Basel, Switzerland) · 2025Review
- Article
- Multimodal esophageal cancer imaging: establishing data processing techniques and assessing diagnostic sensitivity.Biophotonics discovery · 2025Article
- Targeted multispectral filter array design for the optimization of endoscopic cancer detection in the gastrointestinal tract.Journal of biomedical optics · 2024Article
- Deep Learning in Barrett's Esophagus Diagnosis: Current Status and Future Directions.Bioengineering (Basel, Switzerland) · 2023Review
- Research trends on artificial intelligence and endoscopy in digestive diseases: A bibliometric analysis from 1990 to 2022.World journal of gastroenterology · 2023Article
- Role of artificial intelligence in diagnosing Barrett's esophagus-related neoplasia.Clinical endoscopy · 2023Review
- Where do we stand in AI for endoscopic image analysis? Deciphering gaps and future directions.NPJ digital medicine · 2022Review
- Assessment of angle-dependent spectral distortion to develop accurate hyperspectral endoscopy.Scientific reports · 2022Article
- Impact of the Tumor Microenvironment for Esophageal Tumor Development-An Opportunity for Prevention?Cancers · 2022Review
- Artificial Intelligence in the Management of Barrett's Esophagus and Early Esophageal Adenocarcinoma.Cancers · 2022Review
- Optimized spectral filter design enables more accurate estimation of oxygen saturation in spectral imaging.Biomedical optics express · 2022Article
- First-in-human pilot study of snapshot multispectral endoscopy for early detection of Barrett's-related neoplasia.Journal of biomedical optics · 2021Article
- Machine Learning for Future Subtyping of the Tumor Microenvironment of Gastro-Esophageal Adenocarcinomas.Cancers · 2021Review
- Artificial Intelligence in Surveillance of Barrett's Esophagus.Cancer research · 2021Article
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 2 countries.
Funding
Abstract
Early detection of esophageal neoplasia enables curative endoscopic therapy, but the current diagnostic standard of care has low sensitivity because early neoplasia is often inconspicuous with conventional white-light endoscopy. Here, we hypothesized that spectral endoscopy could enhance contrast for neoplasia in surveillance of patients with Barrett's esophagus. A custom spectral endoscope was deployed in a pilot clinical study of 20 patients to capture 715
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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.