Evidence map›Paper›PMID 40307387›Full record

ArticleScientific reports2025

Histopathological characteristics of an oral epithelial dysplasia model in rats showing a negative reaction to fluorescence visualization.

Minori Fujikawa, Kei Nakajima, Yoshihiko Akashi, Katsutoshi Kokubun, Keisuke Ohno, Akira Katakura, Masayuki Takano, Kenichi Matsuzaka

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

8 authors.

Minori FujikawaDepartment of Oral Maxillofacial Surgery, Tokyo Dental College, Tokyo, Japan.
Kei NakajimaDepartment of Pathology, Tokyo Dental College, Tokyo, Japan. nakajimakei@tdc.ac.jp.
Yoshihiko AkashiDepartment of Pathology, Tokyo Dental College, Tokyo, Japan.
Katsutoshi KokubunDepartment of Pathology, Tokyo Dental College, Tokyo, Japan.
Keisuke OhnoDepartment of Oral Maxillofacial Surgery, Tokyo Dental College, Tokyo, Japan.
Akira KatakuraDepartment of Oral Pathobiological Science and Surgery, Tokyo Dental College, Tokyo, Japan.
Masayuki TakanoDepartment of Oral Maxillofacial Surgery, Tokyo Dental College, Tokyo, Japan.
Kenichi MatsuzakaDepartment of Pathology, Tokyo Dental College, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vital staining has long been used to delineate the horizontal margins for resection in oral squamous cell carcinoma and in oral epithelial dysplasia (OED). In recent years, fluorescence visualization (FV), a simple and non-invasive technique, has been used to identify resection margins. However, FV occasionally fails to detect OED. The purpose of this study is to investigate why lesions are not detected using FV and to evaluate their histopathology. The tongues of an OED rat model were examined using FV, and the obtained images were objectively evaluated by quantifying the fluorescence intensity (FI) through image analysis software. Hematoxylin-eosin and immunohistochemical staining were performed to characterize FV loss (FVL) and FV retention (FVR). Some OED lesions were recognized through FVR. In FVL, the CD31-positive rate was higher than in FVR, and the CD31-positive rate negatively correlated with FI. In contrast, a positive correlation was observed between FI and the thickness of the epithelial layer. Multiple regression analysis suggested that the CD31-positivity rate and epithelial thickness may be involved in FI. These findings suggest that the accuracy of FV detection is influenced by multiple factors, including angiogenesis and epithelial layer thickness. Therefore, a combination of various testing methods should be considered.

Indexed as

Mouth MucosaMouth NeoplasmsAnimalsDisease Models, AnimalFluorescenceImmunohistochemistryMaleRatsRats, Sprague-DawleyFluorescence visualizationImmunohistochemical stainingOral epithelial dysplasiaPathological approach

Identifiers

PMID40307387
PMCPMC12044064

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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.