Evidence map›Paper›PMID 42236613›Full record

ArticleNpj imaging2026

Optical coherence tomography enables optical biopsy of endometrial tissue for early cancer detection.

Sanskar Thakur, Yixiao Lin, Jinhua Xu, Haolin Nie, Sarah Badwan, Lukai Wang, Brooke E Sanders, Premal H Thaker, Andrea R Hagemann, Carolyn K McCourt and 6 more

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Sanskar Thakur *Imaging Science Program, Washington University in St. Louis, St. Louis, MO 63130, USA.
Yixiao Lin *Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO 63130, USA.
Jinhua XuImaging Science Program, Washington University in St. Louis, St. Louis, MO 63130, USA.
Haolin NieDepartment of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO 63130, USA.
Sarah BadwanDepartment of Obstetrics and Gynecology, -Division of Gynecologic Oncology, Washington University School of Medicine, St. Louis, MO 63110, USA.
Lukai WangImaging Science Program, Washington University in St. Louis, St. Louis, MO 63130, USA.
Brooke E SandersDepartment of Obstetrics and Gynecology, -Division of Gynecologic Oncology, Washington University School of Medicine, St. Louis, MO 63110, USA.
Premal H ThakerDepartment of Obstetrics and Gynecology, -Division of Gynecologic Oncology, Washington University School of Medicine, St. Louis, MO 63110, USA.
Andrea R HagemannDepartment of Obstetrics and Gynecology, -Division of Gynecologic Oncology, Washington University School of Medicine, St. Louis, MO 63110, USA.
Carolyn K McCourtDepartment of Obstetrics and Gynecology, -Division of Gynecologic Oncology, Washington University School of Medicine, St. Louis, MO 63110, USA.
Dineo M KhabeleDepartment of Obstetrics and Gynecology, -Division of Gynecologic Oncology, Washington University School of Medicine, St. Louis, MO 63110, USA.
Matthew A PowellDepartment of Obstetrics and Gynecology, -Division of Gynecologic Oncology, Washington University School of Medicine, St. Louis, MO 63110, USA.
David G MutchDepartment of Obstetrics and Gynecology, -Division of Gynecologic Oncology, Washington University School of Medicine, St. Louis, MO 63110, USA.
Lindsay M KurokiDepartment of Obstetrics and Gynecology, -Division of Gynecologic Oncology, Washington University School of Medicine, St. Louis, MO 63110, USA.
Ian S HagemannDepartment of Obstetrics and Gynecology, -Division of Gynecologic Oncology, Washington University School of Medicine, St. Louis, MO 63110, USA.
Quing ZhuImaging Science Program, Washington University in St. Louis, St. Louis, MO 63130, USA. zhu.q@wustl.edu.

Funding

Route 66 Endometrial Cancer SPOREP50CA265793 · NCI · WASHINGTON UNIVERSITY · PI Esther Jiaxin Lu · 2023 to 2026
$11.6M
Coregistered Photoacoustic and Ultrasound Imaging for Ovarian Cancer Diagnosis and Risk ManagementR01CA237664 · NCI · WASHINGTON UNIVERSITY · PI POWELL, MATTHEW A, SIEGEL, CARY L · 2020 to 2024
$2.6M
Predicting neoadjuvant treatment response of locally advanced rectal cancer using co-registered endo-rectal photoacoustic and ultrasound imagingR01EB034398 · NIBIB · WASHINGTON UNIVERSITY · PI William Chapman, Quing Zhu · 2023 to 2026
$1.7M
NCI NIH HHS P50 CA265793NCI NIH HHS R01 CA237664NCI NIH HHS R01CA237664NIBIB NIH HHS R01 EB034398
6 · The paper itself

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

PMID42236613
PMCPMC13233832

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.