Evidence map›Paper›PMID 38652317›Full record

ArticleClinical oral investigations2024

Oral mucosa - an examination map for confocal laser endomicroscopy within the oral cavity: an experimental clinical study.

Nicolai Oetter, Jonas Pröll, Matti Sievert, Miguel Goncalves, Maximilian Rohde, Christopher-Philipp Nobis, Christian Knipfer, Marc Aubreville, Zhaoya Pan, Katharina Breininger and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Clinical oral investigations, 2024. 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
1.1field-weighted citation impact, top 23% of its field
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, 2 citations in OpenAlex.

  1. Characterization of irradiated mucosa using confocal laser endomicroscopy in the upper aerodigestive tract.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2025
    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

13 authors at 5 institutions in 1 country.

Nicolai OetterDepartment of Oral and Maxillofacial Surgery, Friedrich‑Alexander University Erlangen‑Nürnberg (FAU), University Hospital Erlangen, Glückstraße 11, 91054, Erlangen, Germany. nicolai.oetter@uk-erlangen.de.
Jonas PröllDepartment of Oral and Maxillofacial Surgery, Friedrich‑Alexander University Erlangen‑Nürnberg (FAU), University Hospital Erlangen, Glückstraße 11, 91054, Erlangen, Germany.
Matti SievertDepartment of Otorhinolaryngology, Head and Neck Surgery, Friedrich‑Alexander University Erlangen‑Nürnberg (FAU), University Hospital Erlangen, Waldstraße 1, 91054, Erlangen, Germany.
Miguel GoncalvesDepartment of Otorhinolaryngology, Head and Neck Surgery, Julius-Maximilians University Würzburg, University Hospital Würzburg, Josef-Schneider-Straße 11, 97080, Würzburg, Germany.
Maximilian RohdeDepartment of Oral and Maxillofacial Surgery, Friedrich‑Alexander University Erlangen‑Nürnberg (FAU), University Hospital Erlangen, Glückstraße 11, 91054, Erlangen, Germany.
Christopher-Philipp NobisDepartment of Oral and Maxillofacial Surgery, Friedrich‑Alexander University Erlangen‑Nürnberg (FAU), University Hospital Erlangen, Glückstraße 11, 91054, Erlangen, Germany.
Christian KnipferDepartment of Oral and Maxillofacial Surgery, University Hamburg, University Medical Center Hamburg- Eppendorf, Martinistraße 52, 20246, Hamburg, Germany.
Marc AubrevilleTechnische Hochschule Ingolstadt, Esplanade 10, 85049, Ingolstadt, Germany.
Zhaoya PanPattern Recognition Lab, Department of Computer Science, Friedrich‑Alexander University Erlangen‑Nürnberg (FAU), Martensstraße 3, 91058, Erlangen, Germany.
Katharina BreiningerDepartment Artificial Intelligence in Biomedical Engineering, Friedrich‑Alexander University Erlangen‑Nürnberg (FAU), Henkestraße 91, 91052, Erlangen, Germany.
Andreas MaierPattern Recognition Lab, Department of Computer Science, Friedrich‑Alexander University Erlangen‑Nürnberg (FAU), Martensstraße 3, 91058, Erlangen, Germany.
Marco KestingDepartment of Oral and Maxillofacial Surgery, Friedrich‑Alexander University Erlangen‑Nürnberg (FAU), University Hospital Erlangen, Glückstraße 11, 91054, Erlangen, Germany.
Florian StelzleDepartment of Oral and Maxillofacial Surgery, Friedrich‑Alexander University Erlangen‑Nürnberg (FAU), University Hospital Erlangen, Glückstraße 11, 91054, Erlangen, Germany.
Friedrich-Alexander-Universität Erlangen-Nürnberg · DEUniversitätsklinikum Erlangen · DETechnische Hochschule Ingolstadt · DEUniversitätsklinikum Würzburg · DEUniversity Medical Center Hamburg-Eppendorf · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesConfocal laser endomicroscopy (CLE) is an optical method that enables microscopic visualization of oral mucosa. Previous studies have shown that it is possible to differentiate between physiological and malignant oral mucosa. However, differences in mucosal architecture were not taken into account. The objective was to map the different oral mucosal morphologies and to establish a "CLE map" of physiological mucosa as baseline for further application of this powerful technology. MATERIALS AND

methodsThe CLE database consisted of 27 patients. The following spots were examined: (1) upper lip (intraoral) (2) alveolar ridge (3) lateral tongue (4) floor of the mouth (5) hard palate (6) intercalary line. All sequences were examined by two CLE experts for morphological differences and video quality.

resultsAnalysis revealed clear differences in image quality and possibility of depicting tissue morphologies between the various localizations of oral mucosa: imaging of the alveolar ridge and hard palate showed visually most discriminative tissue morphology. Labial mucosa was also visualized well using CLE. Here, typical morphological features such as uniform cells with regular intercellular gaps and vessels could be clearly depicted. Image generation and evaluation was particularly difficult in the area of the buccal mucosa, the lateral tongue and the floor of the mouth.

conclusionA physiological "CLE map" for the entire oral cavity could be created for the first time. CLINICAL RELEVANCE: This will make it possible to take into account the existing physiological morphological features when differentiating between normal mucosa and oral squamous cell carcinoma in future work.

Indexed as

Microscopy, ConfocalMouth MucosaFemaleHumansMaleMiddle AgedMouth NeoplasmsConfocal laser endomicroscopyHead and neck cancerOptical methodsOral carcinomaOral cavityOral cavity squamous cell carcinoma

Identifiers

PMID38652317
PMCPMC11039507
OpenAlexW4395045521

What OpenQuestion holds

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LicenceCC BY
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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.