Evidence map›Paper›PMID 41589179›Full record

ReviewCureus2025

Three-Dimensional Intraoral Scanners in Oral Soft Tissue Diagnosis: A Narrative Review and Conceptual Outlook.

Maria Myrto Solomou, Yiannis Pistolas, Alexandros Theodosiou, Andreas S Panayides, Smaragda Diamanti

Abstract readReview
In one paragraph

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

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

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

5 authors.

Maria Myrto SolomouOral Medicine, European University Cyprus, Nicosia, CYP.
Yiannis PistolasDentistry, European University Cyprus, Nicosia, CYP.
Alexandros TheodosiouComputer Science, University of Cyprus, Nicosia, CYP.
Andreas S PanayidesVideomics, CYENS Centre of Excellence, Nicosia, CYP.
Smaragda DiamantiDentistry, European University Cyprus, Nicosia, CYP.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oral soft tissue lesions encompass a wide spectrum of conditions, from benign alterations to potentially malignant disorders and malignancies. Accurate diagnosis and continuous monitoring are vital for timely intervention and improved prognosis. Current diagnostic techniques, visual and tactile examination, two-dimensional (2D) clinical photography, and histopathological analysis when required, remain indispensable but have notable limitations. Visual inspection is subjective, 2D photography cannot reliably capture volumetric or surface-texture changes, and biopsies are invasive and impractical for routine follow-up. This narrative review synthesizes existing evidence on intraoral scanning (IOS) technologies in dentistry and explores their potential application in the documentation and monitoring of oral soft tissue lesions. A narrative literature review was conducted across PubMed, Scopus, IEEE Xplore, and Embase databases up to September 20, 2025. Search terms included "intraoral scanner", "oral soft tissue", "oral lesions", "3D imaging", and "teledentistry". Studies describing IOS applications in general dentistry, specialty practice, or soft-tissue imaging were included. Relevant findings were thematically analyzed to assess the feasibility of IOS in oral medicine. IOS offers objective, reproducible, and non-invasive three-dimensional (3D) data acquisition, enabling volumetric lesion monitoring, digital record-keeping, telemedicine integration, and potential artificial intelligence (AI)-based analysis. However, technical limitations persist, including motion artifacts, saliva interference, restricted depth penetration, and difficulty capturing highly mobile mucosa. Importantly, no studies to date have directly evaluated IOS for diagnosing oral soft tissue lesions. Integrating high-resolution 3D IOS into oral medicine could enable accurate, repeatable, and non-invasive documentation of soft tissue lesions, supporting longitudinal assessment, diagnosis, patient education, and teleconsultation. Nonetheless, further research addressing training requirements, cost-effectiveness, soft-tissue imaging optimization, and scanner resolution is essential before clinical adoption.

Indexed as

artificial intelligencedigital diagnosticsintraoral scanneroral soft tissue lesionsteledentistrythree-dimensional imaging

Identifiers

PMID41589179
PMCPMC12832000

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.