Evidence map›Paper›PMID 39948165›Full record

ArticleJournal of cancer research and clinical oncology2025

Clinical evaluation of breast cancer tissue with optical coherence tomography: key findings from a large-scale study.

Xiaojing Liu, Miao Cui, Cuixia Feng, Shujuan Jin, Xiaowei Han, Yongfang Wu, Di Meng, Si Zuo, Qing Xu, YanHong Tai and 1 more

Abstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

11 authors.

Xiaojing Liu *Senior Department of General Surgery, The First Medical Center of Chinese, PLA General Hospital, Fuxing Road, No. 28, Haidian District, Beijing, 100853, China.
Miao Cui *Department of Pathology, Fifth Medical Center of Chinese, PLA General Hospital, Beijing, China.
Cuixia Feng *BeiJing HealthOLight Technology Co., Ltd, Beijing, China.
Shujuan JinSenior Department of General Surgery, The First Medical Center of Chinese, PLA General Hospital, Fuxing Road, No. 28, Haidian District, Beijing, 100853, China.
Xiaowei HanSenior Department of General Surgery, The First Medical Center of Chinese, PLA General Hospital, Fuxing Road, No. 28, Haidian District, Beijing, 100853, China.
Yongfang WuDepartment of Pathology, Fifth Medical Center of Chinese, PLA General Hospital, Beijing, China.
Di MengSenior Department of General Surgery, The First Medical Center of Chinese, PLA General Hospital, Fuxing Road, No. 28, Haidian District, Beijing, 100853, China.
Si ZuoSenior Department of General Surgery, The First Medical Center of Chinese, PLA General Hospital, Fuxing Road, No. 28, Haidian District, Beijing, 100853, China.
Qing XuBeiJing HealthOLight Technology Co., Ltd, Beijing, China.
YanHong TaiDepartment of Pathology, Fifth Medical Center of Chinese, PLA General Hospital, Beijing, China. taiyanhong29@163.com.
Feng LiangSenior Department of General Surgery, The First Medical Center of Chinese, PLA General Hospital, Fuxing Road, No. 28, Haidian District, Beijing, 100853, China. lfpeakcool@126.com.

Funding

the National Natural Science Foundation of China 81972485
6 · The paper itself

Abstract

purposeBreast cancer patients undergoing breast-conserving surgery may require a second operation if positive margins persist but current intraoperative methodologies often lack real-time and comprehensive assessments of tissue margins. This study addresses this critical gap by introducing a novel approach to enhance margin assessment in breast surgery.

methodsA total of 252 fresh tissue blocks from 199 patients with different types of breast lesions were scanned with a customized swept-source optical coherence tomography (SS-OCT) system, and the OCT features of normal, benign, and malignant breast tissues, were systematically analyzed.

resultsThe qualitative analysis results revealed that adipose tissue has high penetration depth and a typical honeycomb pattern, whereas fibrous tissue has the brightest grayscale values and a bundle-like structure. The lobular area appears as a dark region, and dilated ducts present a distinct tubular structure on B-scan images. Adenosis results in bright areas, fibroadenoma results in typical contour structures, phyllodes tumors present lobular structures, invasive carcinomas present a stellate pattern and low penetration depth, and mucinous carcinoma cancer cells are clearly visible within the low-scattering mucin.

conclusionsImportantly, we provide comparative OCT and hematoxylin and eosin (H&E) histology images for less common conditions, such as phyllodes tumors, intraductal papillomas, and mucinous carcinoma. For the first time, we established an 3D OCT-histopathology library with a large field of view and systematically analyzed the multidimensional features. This work strongly supports the feasibility of using OCT technology intraoperatively in surgery. Additionally, the OCT-histopathology library can help pathologists better understand and identify tissue features, thereby enhancing diagnostic efficiency.

Indexed as

Breast NeoplasmsTomography, Optical CoherenceAdultAgedFemaleHumansMargins of ExcisionMiddle AgedBreast cancerOptical coherence tomographyOptical imagingSurgical oncology

Identifiers

PMID39948165
PMCPMC11825538

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Registered trials

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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.