Evidence map›Paper›PMID 40937007›Full record

ArticleCase reports in radiology2025

Radiographic Identification of Foreign Bodies in the Maxillofacial Region: A Case Report and Review for Aesthetic Surgery Planning.

Sekina Alimova, Yehya Tlaiss, Suzanne Youness, Ahmad Tleis, Basin Evgeny, Victor Truten, Tatiana Guseva

Abstract readCase Reports
In one paragraph

Article in Case reports in radiology, 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

7 authors.

Sekina AlimovaDepartment of Radiology, Federal State Budgetary Educational Institution of Higher Education, Russian University of Medicine, Ministry of Health of the Russian Federation, Moscow, Russia.ORCID https://orcid.org/0000-0001-8602-7826
Yehya TlaissDepartment of Ophthalmology, University of Balamand, Beirut, Lebanon.ORCID https://orcid.org/0009-0003-5266-3690
Suzanne YounessDepartment of Plastic Surgery, University of Balamand, Beirut, Lebanon.
Ahmad TleisDepartment of Dental Surgery, Lebanese University, Beirut, Lebanon.
Basin EvgenyOncology and Plastic Surgery Department, Academy of Postgraduate Education Federal Medical-Biological Agency, Moscow, Russia.ORCID https://orcid.org/0000-0003-1931-8062
Victor TrutenDepartment of Radiology, Federal State Budgetary Educational Institution of Higher Education, Russian University of Medicine, Ministry of Health of the Russian Federation, Moscow, Russia.ORCID https://orcid.org/0000-0002-8941-4511
Tatiana GusevaDepartment of Sports Medicine and Medical Rehabilitation, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia.ORCID https://orcid.org/0000-0001-9844-9989

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aesthetic facial and neck procedures increasingly rely on radiographic imaging for surgical planning and complication management. Cone-beam computed tomography (CBCT) offers high-resolution, three-dimensional imaging, but foreign materials such as cosmetic fillers and metallic implants can mimic pathology, generate artifacts, and complicate surgery. This case report with an integrated literature review highlights the radiographic identification of such materials and their implications for aesthetic procedures, illustrated by a patient case where CBCT revealed high-density inclusions in the submental region, correlating with intraoperative fibrosis and extended surgical time. CBCT proved superior in visualizing foreign bodies with lower radiation exposure than conventional CT, emphasizing the need for standardized imaging protocols and AI-driven artifact reduction to enhance diagnostic accuracy and optimize surgical outcomes.

Indexed as

aesthetic surgerycone-beam computed tomographyforeign body detectionmaxillofacial imagingradiographic artifacts

Identifiers

PMID40937007
PMCPMC12422837

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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.