Evidence map›Paper›PMID 41767941›Full record

ArticleBiomedical optics express2025

Enhancing the pathological diagnosis of oral cancers using broadband ultraviolet photoacoustic microscopy.

Li Zhang, Fan Yang, Jianwei Shang, Yong Yang, Siwei Zhu, Xiaojing Wu, Zhengduo Yang, Yingbin Yan, Jun Shen, Xiaocong Yuan

Abstract read
In one paragraph

Article in Biomedical optics express, 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. Article
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

10 authors.

Li ZhangTianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, West Huan-Hu Road, Ti Yuan Bei, Hexi District, Tianjin 30060, China.
Fan YangResearch Center for Frontier Fundamental Studies, Zhejiang Laboratory, Hangzhou 311100, China.
Jianwei ShangTianjin Key Laboratory of Oral and Maxillofacial Function Reconstruction, 75 Dagu Road, Heping District, Tianjin 300041, China.
Yong YangResearch Center for Frontier Fundamental Studies, Zhejiang Laboratory, Hangzhou 311100, China.
Siwei ZhuThe Institute of Translational Medicine, Tianjin Union Medical Center of Nankai University, Tianjin 300121, China.
Xiaojing WuThe Institute of Translational Medicine, Tianjin Union Medical Center of Nankai University, Tianjin 300121, China.
Zhengduo YangDepartment of Pathology, Tianjin Union Medical Center, Tianjin 300121, China.
Yingbin YanTianjin Key Laboratory of Oral and Maxillofacial Function Reconstruction, 75 Dagu Road, Heping District, Tianjin 300041, China.
Jun ShenTianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, West Huan-Hu Road, Ti Yuan Bei, Hexi District, Tianjin 30060, China.
Xiaocong YuanResearch Center for Frontier Fundamental Studies, Zhejiang Laboratory, Hangzhou 311100, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Conventional histopathological diagnostic methods, such as hematoxylin-eosin (H&E) staining and immunohistochemistry (IHC), face significant challenges in intraoperatively diagnosing early-stage oral cancer and certain cancer types. To address this, we propose a novel pathological diagnostic method based on a broadband ultraviolet photoacoustic microscope (bUV-PAM). This method capitalizes on the unique optical absorption properties of nuclei and high-frequency photoacoustic spectral variations, enabling the simultaneous performance of photoacoustic morphological imaging (PAMI) and photoacoustic spectral analysis (PASA) within 20 minutes. As a result, photoacoustic images of normal and cancerous mouse tissues, including oral squamous cell carcinoma (OSCC) and adenoid cystic carcinoma (ACC), demonstrate strong consistency with their corresponding H&E images. Moreover, the photoacoustic spectral profiles of these tissues exhibit significant differences, validating the effectiveness of PASA in differentiating between normal and cancerous states. Furthermore, PASA rapidly identifies diseases that are challenging to diagnose with H&E staining, such as the transition from normal mouse mucosa tissue to OSCC and the differentiation between OSCC and ACC, as verified by the more time-consuming IHC method. Consequently, the photoacoustic pathological diagnosis method enhances current diagnostic practices, promising to offer crucial support for the rapid intraoperative identification of human early-stage oral cancers and various cancer types.

Identifiers

PMID41767941
PMCPMC12945499

What Socratic holds

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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.