Evidence map›Paper›PMID 42380840›Full record

ArticleBMC oral health2026

Morphometric evaluation of the mandibular lingual foramen using cone-beam computed tomography: a retrospective study.

Ayse Tas, Tuhfe Celikkol, Yasemin Oztoprak, Nelli Agbulut, Kader Aydin

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Article in BMC oral health, 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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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Ayse TasFaculty of Dentistry, Department of Oral and Maxillofacial Radiology, Istanbul Medipol University, Cibali, Atatürk Blv. No:27, Unkapanı/Fatih, Istanbul, 34083, Turkey.ORCID 0000-0003-4492-4777
Tuhfe CelikkolInstitute of Health Science Department of Oral and Maxillofacial Radiology, Istanbul Medipol University, Istanbul, Turkey.ORCID 0009-0003-1077-1167
Yasemin OztoprakFaculty of Dentistry, Department of Oral and Maxillofacial Radiology, Istanbul Medipol University, Cibali, Atatürk Blv. No:27, Unkapanı/Fatih, Istanbul, 34083, Turkey. yasemin.oztoprak@medipol.edu.tr.ORCID 0009-0003-9138-0159
Nelli AgbulutPrivate Practice, Istanbul, Turkey.ORCID 0000-0001-9860-5494
Kader AydinFaculty of Dentistry, Department of Oral and Maxillofacial Radiology, Istanbul Medipol University, Cibali, Atatürk Blv. No:27, Unkapanı/Fatih, Istanbul, 34083, Turkey.ORCID 0000-0002-6429-4197

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe mandibular lingual foramen (MLF) is a clinically significant structure due to its proximity to neurovascular bundles. Variations in its morphology pose risks of hemorrhage and neurosensory injury during anterior mandibular surgery. The aim of this study was to evaluate the morphometric characteristics of the MLF using cone-beam computed tomography (CBCT) and analyze its relationship with age and gender to define safe surgical boundaries. MATERIALS AND

methodsA retrospective analysis was performed on 486 CBCT scans obtained from adult patients. Measurements included the number of lingual foramina, foramen diameter, canal length, distances from the alveolar crest and mandibular base, and total bone height. Gender-based comparisons were performed using Student's t-test, and correlations with age were assessed using Spearman's correlation analysis. Inter- and intra-observer reliability were evaluated using intraclass correlation coefficients (ICC).

resultsA single lingual foramen was observed in 62.8% of cases, while 31.9% presented with two foramina, 4.9% with three, and 0.4% with four foramina. Male patients exhibited significantly greater vertical and horizontal bone measurements, including distances from the alveolar crest and mandibular base, total bone height, and canal length (p < 0.05). No significant gender difference was observed in foramen diameter. Age showed no correlation with foramen diameter; however, a weak but significant negative correlation was detected between age and canal length (p = 0.045). Inter- and intra-observer reliability values were excellent (ICC > 0.98).

conclusionsThe mandibular lingual foramen exhibits considerable anatomical variability influenced by gender and age. Male patients present with larger bone dimensions, while age-related bone resorption leads to a reduction in canal length without affecting foramen diameter. These findings emphasize the importance of individualized CBCT-based evaluation prior to surgical procedures in the anterior mandible to minimize the risk of complications.

Indexed as

Cone-Beam Computed TomographyMandibleAdolescentAdultAgedAged, 80 and overAge FactorsAlveolar ProcessFemaleHumansMaleMiddle AgedRetrospective StudiesSex FactorsYoung AdultAnatomical variationAnterior mandibleCone-beam computed tomographyDental implant planningMandibular lingual foramenMorphometric analysis

Identifiers

PMID42380840
PMCPMC13560139

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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.