Trial reportGastroenterology2013
Real-time optical biopsy of colon polyps with narrow band imaging in community practice does not yet meet key thresholds for clinical decisions.
Trial report in Gastroenterology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 80 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.
Practice-Based Learning to Predict Polyp Histology at Colonoscopy: A Demonstration Project in Community Practice
Prospective Multi-Center Study Evaluating Real-Time Characterizations of Diminutive Colorectal Polyps Using Narrow Band Imaging: Implications for the Resect and Discard Strategy
A Randomised Controlled Trial of the Prediction of Diminutive/Small Polyp Histology: a Comparison Between Didactic Training Versus Self-directed Computer Based Training
Who cites it
80 citing papers in PubMed, 1 synthesis or guideline pooled it, 223 citations in OpenAlex.
- The absolute number of small and diminutive adenomas with high-grade dysplasia is substantially higher compared with large adenomas: a retrospective pooled study.Frontiers in oncology · 2024Pooled it
- Trial
- Comparison of Narrow Band Imaging and Fujinon Intelligent Color Enhancement in Predicting Small Colorectal Polyp Histology.Digestive diseases and sciences · 2015Trial
- Interobserver agreement among pathologists in the histopathological diagnosis and classification of colorectal polyps.Diagnostic pathology · 2026Article
- Structured Integration of an Artificial Intelligence-Based System for the Optical Diagnosis of Colorectal Polyps.Gut and liver · 2026Article
- Enhancing colorectal polyp classification using gaze-based attention networks.PeerJ. Computer science · 2025Article
- Hyperspectral imaging facilitating resect-and-discard strategy through artificial intelligence-assisted diagnosis of colorectal polyps: A pilot study.Cancer medicine · 2024Article
- Accuracy of polyp characterization by artificial intelligence and endoscopists: a prospective, non-randomized study in a tertiary endoscopy center.Endoscopy international open · 2023Article
- Accuracy of Narrow-Band Imaging International Colorectal Endoscopic Classification for Predicting the Histology of Colon Polyps by Experienced Endoscopists and Trainees.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2023Article
- Advances in artificial intelligence and computer science for computer-aided diagnosis of colorectal polyps: current status.Endoscopy international open · 2023Review
- Polyp characterization using deep learning and a publicly accessible polyp video database.Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society · 2023Article
- Research trends on artificial intelligence and endoscopy in digestive diseases: A bibliometric analysis from 1990 to 2022.World journal of gastroenterology · 2023Article
- Endoscopists performance in optical diagnosis of colorectal polyps in artificial intelligence studies.United European gastroenterology journal · 2022Review
- Image-enhanced endoscopy and endoscopic resection practices in the colon among endoscopists in India.Endoscopy international open · 2022Article
- Artificial Intelligence-Based Assessment of Colorectal Polyp Histology by Elastic-Scattering Spectroscopy.Digestive diseases and sciences · 2022Article
- Real-Time Artificial Intelligence-Based Histologic Classifications of Colorectal Polyps Using Narrow-Band Imaging.Frontiers in oncology · 2022Article
- The role of artificial intelligence based systems for cost optimization in colorectal cancer prevention programs.Frontiers in artificial intelligence · 2022Review
- Algorithm combining virtual chromoendoscopy features for colorectal polyp classification.Endoscopy international open · 2021Article
- Advances in optical gastrointestinal endoscopy: a technical review.Molecular oncology · 2021Review
- Optical diagnosis of colorectal polyps using convolutional neural networks.World journal of gastroenterology · 2021Review
20 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 4 institutions in 1 country.
Funding
Abstract
BACKGROUND &
aimsAccurate optical analysis of colorectal polyps (optical biopsy) could prevent unnecessary polypectomies or allow a "resect and discard" strategy with surveillance intervals determined based on the results of the optical biopsy; this could be less expensive than histopathologic analysis of polyps. We prospectively evaluated real-time optical biopsy analysis of polyps with narrow band imaging (NBI) by community-based gastroenterologists.
methodsWe first analyzed a computerized module to train gastroenterologists (N = 13) in optical biopsy skills using photographs of polyps. Then we evaluated a practice-based learning program for these gastroenterologists (n = 12) that included real-time optical analysis of polyps in vivo, comparison of optical biopsy predictions to histopathologic analysis, and ongoing feedback on performance.
resultsTwelve of 13 subjects identified adenomas with >90% accuracy at the end of the computer study, and 3 of 12 subjects did so with accuracy ≥90% in the in vivo study. Learning curves showed considerable variation among batches of polyps. For diminutive rectosigmoid polyps assessed with high confidence at the end of the study, adenomas were identified with mean (95% confidence interval [CI]) accuracy, sensitivity, specificity, and negative predictive values of 81% (73%-89%), 85% (74%-96%), 78% (66%-92%), and 91% (86%-97%), respectively. The adjusted odds ratio for high confidence as a predictor of accuracy was 1.8 (95% CI, 1.3-2.5). The agreement between surveillance recommendations informed by high-confidence NBI analysis of diminutive polyps and results from histopathologic analysis of all polyps was 80% (95% CI, 77%-82%).
conclusionsIn an evaluation of real-time optical biopsy analysis of polyps with NBI, only 25% of gastroenterologists assessed polyps with ≥90% accuracy. The negative predictive value for identification of adenomas, but not the surveillance interval agreement, met the American Society for Gastrointestinal Endoscopy-recommended thresholds for optical biopsy. Better results in community practice must be achieved before NBI-based optical biopsy methods can be used routinely to evaluate polyps; ClinicalTrials.gov number, NCT01638091.
Indexed as
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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.