Evidence map›Paper›PMID 42769714›Full record

ArticleBiomedical optics express2026

Identification and quantification of oral lymphatic vessel networks using optical coherence tomography (OCT).

Jiacheng Gu, Yilong Zhang, Simon Shepherd, Michaelina Macluskey, Zhihong Huang, Chunhui Li

Abstract read
In one paragraph

Article in Biomedical optics express, 2026. 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

6 authors.

Jiacheng GuHealthcare Engineering, School of Physics and Engineering Technology, University of York, York YO10 5DD, UK.ORCID https://orcid.org/0009-0001-0568-4486
Yilong ZhangHealthcare Engineering, School of Physics and Engineering Technology, University of York, York YO10 5DD, UK.ORCID https://orcid.org/0000-0001-6750-7613
Simon ShepherdSchool of Dentistry, University of Dundee, Dundee DD1 4HN, UK.
Michaelina MacluskeySchool of Dentistry, University of Dundee, Dundee DD1 4HN, UK.
Zhihong HuangHealthcare Engineering, School of Physics and Engineering Technology, University of York, York YO10 5DD, UK.
Chunhui LiCentre for Medical Engineering and Technology (CMET), University of Dundee, Dundee DD1 4HN, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lymphatic vessels play essential roles in immune regulation and tissue homeostasis, yet their distribution within the oral mucosa is incompletely quantified due to the lack of noninvasive, depth-resolved imaging tools. In this study, optical coherence tomography (OCT) combined with an optimized optical attenuation coefficient estimation (OAC) was used to segment and quantify lymphatic vessel networks in healthy and ulcerated human oral mucosa. The results showed descriptive depth-related patterns across the three oral regions (lip, hard palate, and buccal mucosa). The lip showed an overall increase across the measured depth intervals; the hard palate remained consistently low in mean lymphatic density with little variation, whereas the buccal mucosa increased in superficial intervals and gradually decreased at greater depths. In ulcerative lesions, lymphatic density was lower within the ulcer region compared with the surrounding tissue in superficial and mid-depth layers, with this difference decreasing at greater depths. OCT angiography further demonstrated spatial parallelism between lymphatic vessel networks and blood vessels in both healthy and ulcerated tissues. These findings demonstrate that OAC-enhanced OCT enables non-invasive, depth-resolved visualization and quantification of oral lymphatic vessel networks, providing reference characteristics for normal oral mucosa and revealing region and pathology-associated lymphatic alterations relevant to inflammatory conditions and early pathological changes.

Identifiers

PMID42769714
PMCPMC13592268

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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.