ArticleNpj imaging2026
Optical coherence tomography enables optical biopsy of endometrial tissue for early cancer detection.
Article in Npj imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors.
Funding
Abstract
Endometrial cancer is the most common malignancy of the female reproductive tract, yet diagnosis relies on invasive tissue sampling with risk of false negatives. We report an initial investigation of catheter-based 3D optical coherence tomography (OCT) integrated with functional, structural, and radiomic feature analysis for noninvasive endometrial assessment in ex vivo specimens. A custom 3.1-mm OCT catheter acquired volumetric images from 57 intact uterine specimens spanning normal endometrium, benign conditions, high-risk endometrial intraepithelial neoplasia, and endometrial cancer. Functional, structural, and radiomic features were extracted from OCT intensity and scattering images. Statistically significant features were selected to construct a cosine similarity matrix and a cosine-similarity network graph. Cosine-similarity visualization demonstrated exploratory sensitivity and specificity of 94% and 87%, while a cross-validated Logistic Regression Classifier yielded sensitivity and specificity of 91% and 83%. These findings support catheter-based 3D OCT as a promising noninvasive optical biopsy approach to improve detection of endometrial cancer.
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.