ArticleBiomedical engineering online2025
Classification of colon polyps with malignant potential using statistical analysis of features extracted from ex vivo optical coherence tomography images.
Article in Biomedical engineering online, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Spectroscopic correlation tomography (SpCT) for visualization of spatial correlations in volumetric OCT scans.Biomedical optics express · 2026Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
To reduce the burden of screening of colorectal polyps, *leave-in-situ* management of diminutive (≤ 5 mm) polyps is being considered. However, such an approach requires increased diagnostic efficacy (PIVI-1 criterion). The aim of this study was to use Optical Coherence Tomography (OCT) for the classification of pre-malignant polyps as benign (i.e., normal or hyperplastic) vs. those with a malignant potential (i.e., adenomas and sessile serrated adenomas) at an accuracy that would enable clinical screening of colorectal cancer. The OCT raw data, from volume imaging of resected polyps, were used to extract features that can serve as biomarkers of disease. In addition to intensity and textural measures, novel biomarkers, such as scatterer size, group velocity dispersion, and spectral information, were also estimated. Their statistical properties were combined to produce scores which, in turn, were used to classify the images or polyps. This approach yielded 79.6% accuracy (72.3% NPV) for the classification of individual images and 97.3% accuracy (95.5% NPV) when combining the feature values to classify whole polyp sections. The results of this study confirm the potential of OCT imaging of colorectal polyps as a viable adjunct to colonoscopy that could enable leave-in-situ management strategies.
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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 Socratic graph.