CBCT quantitative evaluation of mandibular lingual concavities in dental implant patients

Purpose The purpose of this study was to evaluate the prevalence of mandibular lingual concavities and to measure them using CBCT (Cone-Beam Computerized Tomography). Methods In this study, CBCT scans of 200 patients requiring dental implants were assessed for lingual concavities. Reconstructed CBCT...

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Bibliographic Details
Published in:Surgical and radiologic anatomy (English ed.) 2015-12, Vol.37 (10), p.1209-1215
Main Authors: Kamburoğlu, Kıvanç, Acar, Buket, Yüksel, Selcen, Paksoy, Candan Semra
Format: Article
Language:English
Subjects:
Adolescent
Adult
Aged
Analysis
Anatomy
Cone-Beam Computed Tomography
Dental Implants
Dentistry
Female
Humans
Image Processing, Computer-Assisted
Imaging
Imaging, Three-Dimensional
Male
Mandible - diagnostic imaging
Medicine
Medicine & Public Health
Middle Aged
Original Article
Orthopedics
Radiology
Studies
Surgery
Tomography
Transplants & implants
Young Adult
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Summary:Purpose The purpose of this study was to evaluate the prevalence of mandibular lingual concavities and to measure them using CBCT (Cone-Beam Computerized Tomography). Methods In this study, CBCT scans of 200 patients requiring dental implants were assessed for lingual concavities. Reconstructed CBCT images were transferred as DICOM files to the 3D DOCTOR software program, and metric, volumetric, and surface area measurements were obtained. Two-way mixed ANOVA was used to model side (left/right, anterior), measurement type, and gender with side and type taken as within-subject variables, gender as between-subject variables, and age as a covariate. A comparison between the dentate and edentulous groups in the samples with lingual concavities was performed using an unpaired Student’s t test. Results Submandibular concavity mean depth and volume were found to be 2.4 mm and 130.7 mm 3 , whereas mean depth and volume of sublingual concavities were found to be 1.3 mm and 26.5 mm 3 . Significant inverse ratios were found between age and volume and between age and surface area ( p   0.05). Conclusion Mandibular lingual concavity dimensions were found to vary by age, location, and the presence/absence of teeth. Third party software can be used to generate 3-dimensional models that provide useful information about shape, size, and location of sublingual and submandibular concavities prior to implant placement.
ISSN:0930-1038
1279-8517
DOI:10.1007/s00276-015-1493-9