Evidence map›Paper›PMID 42040024›Full record

ArticleGalen medical journal2024

Comprehensive Assessment of Anterior and Posterior Lingual Mandibular Depressions Using Cone Beam Computed Tomography: Morphology, Prevalence and Clinical Implications.

Seyyed Sajjad Pishva, Negar Sarrafan, Aisan Ghaznavi, Paria Fathi

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Article in Galen medical journal, 2024. 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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5 · Who and what money

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4 authors.

Seyyed Sajjad PishvaDepartment of Oral and Maxillofacial Medicine, School of Denticity, Urmia University of Medical Science, Urmia, Iran.
Negar SarrafanDepartment of Oral and Maxillofacial Medicine, School of Denticity, Urmia University of Medical Science, Urmia, Iran.
Aisan GhaznaviDepartment of Oral and Maxillofacial Radiology, School of Denticity, Urmia University of Medical Science, Urmia, Iran.
Paria FathiDepartment of Oral and Maxillofacial Medicine, School of Denticity, Urmia University of Medical Science, Urmia, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAssessment of lingual mandibular depressions, both anterior and posterior, has significant clinical relevance in various dental and maxillofacial procedures. Cone Beam Computed Tomography (CBCT) has emerged as a valuable tool for the detailed evaluation of these anatomical features due to its high-resolution imaging capabilities and three-dimensional visualization. The aim of this study was to comprehensively assess both anterior and posterior lingual mandibular depressions utilizing CBCT imaging, offering insights into their morphology, prevalence, and potential clinical implications. MATERIALS AND

methodsIn this descriptive-cross-sectional study, 384 images from patients were examined. The images were reviewed using the Plunmeca Promax 3D device. In these images, the concavity depth, ridge thickness from the alveolar crest area, angle of concavity two millimeters above the inferior alveolar nerve, height of concavity from the start of the concavity to its end, and also the linear height along the occlusal plane with the opposing teeth in the lower jaw ridge were measured in the lingual area of the canine-premolar, first molar, and second molar. Based on the normal distribution of the data, parametric tests (Pearson correlation) were employed. According to the ICC, agreement between observers was estimated at 0.8.

resultsThe frequency of concavity was 2.9% in the canine-premolar region, in the first molar region 34.7%, and in the second molar region 98.2%. The concavity depth in the canine-premolar region was measured at 4.41 millimeters, in the first molar region at 3.80 millimeters, and the second molar region at 4.43 millimeters. The concavity height was reported as 13.26 millimeters in the canine-premolar region, 12.35 millimeters in the first molar region, and 13.51 millimeters in the second molar region. The angle of concavity was measured at 60.48 degrees in the canine-premolar region, 59.66 degrees in the first molar region, and 61.50 degrees in the second molar region. Ridge thickness in the canine-premolar region was 9.06 millimeters, in the first molar region 10.47 millimeters, and the second molar region 10.43 millimeters. No interference was found in the canine-premolar region, while interference was observed in 7.25% of cases in the first molar region and 23.6% in the second molar region. Additionally, a significant correlation was found between the concavity depth and interference with implants.

conclusionImaging with CBCT should be performed before implant placement also the concavity depth in the area should be considered to avoid potential interference during implant placement. This emphasizes the importance of thorough preoperative assessment for successful implant procedures.

Indexed as

Cone-Beam Computed TomographyDental ImplantsLingual SubfossaMandible

Identifiers

PMID42040024
PMCPMC12107327

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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.