A New Classification of Anterior Mandible Edentulous Ridge Based on Cone Beam Computed Tomography

2020 ◽  
Author(s):  
Yaser Safi ◽  
Reza Amid ◽  
Zahra Vasegh ◽  
Mitra Ghazizadeh Ahsaie
Keyword(s):  
Computed Tomography ◽  
Cone Beam Computed Tomography ◽  
Cone Beam ◽  
New Classification ◽  
Anterior Mandible

scholarly journals A new classification of cross-sectional root canal shape changes, a cone-beam computed tomography study

2020 ◽  
Author(s):  
Svetlana Razumova ◽  
Anzhela Brago ◽  
Haydar Barakat ◽  
Ammar Howijieh ◽  
Yuliya Kozlova ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Cone Beam Computed Tomography ◽  
Root Canal ◽  
Age Groups ◽  
Cone Beam ◽  
New Classification ◽  
Cross Sectional ◽  
The Cross ◽  
Shape Changes

Abstract Background: The root canal system is considering the most important factor in endodontic treatment, due to the complexity of its anatomy and morphology. The aim of this study was to present a new classification of root canal shape changes in three thirds (coronal, middle, apical) in different age groups using cone-beam computed tomography scanning.Materials and methods: 300 CBCT scans for patient aged 20-70 were evaluated to study the morphology of the cross-sectional root canal shape in coronal, middle and apical thirds among three age groups; young (20-44), middle (45-59) and elderly (60-70). The root canal shape was classified as follow: round, oval, ribbon. Results: The cross-sectional root canal shape was identified in two groups: canals with an unchanging (constant) shape and canals with changing shape. In turn, in canals with changing shape, the change could be identified in the region of the middle or apical thirds of the canal. The results showed that root canal shape changes in two cases: 1) the presence of one or more canals in the root (with or without isthmus between them), 2) with age, as it was observed that the cross-sectional shape of the root canal becomes round in the apical third with age.Conclusion: A new classification of the changes of root canal shape in three thirds (coronal, middle, apical) was presented in this study.

scholarly journals Classification of Sagittal Root Position and Angulation of Premolars for Immediate Implant Placement: A Cone Beam Computed Tomography Study

2020 ◽  
Author(s):  
Yalin Zhan ◽  
Miaozhen Wang ◽  
Xueyuan Cheng ◽  
Feng Liu
Keyword(s):  
Computed Tomography ◽  
Treatment Planning ◽  
Frequency Distribution ◽  
Cone Beam Computed Tomography ◽  
Cone Beam ◽  
Implant Placement ◽  
Root Position ◽  
Immediate Implant ◽  
Maxillary Premolars

Abstract Background: Sagittal root position (SRP) and thickness of buccal plate were of clinical guiding significance in implant treatment planning. The study was to classify the SRP and angulations of the maxillary and mandibular premolar to each osseous housing, and to measure the thickness of buccal plate by cone beam computed tomography (CBCT) in order to estimate the distributions and provide clinical decision support. Methods: CBCT images was reviewed on 150 patients who fulfilled the inclusion criteria. The sagittal root position and angulations of the maxillary and mandibular premolars to their respective osseous housing were evaluated and classified using CBCT images. The thickness of buccal plate at 1 mm, 3 mm, 5 mm apical to the alveolar crest was also measured. Results: The frequency distribution of SRP types indicated that, 41.67%, 51.83%, 3.67%, and 2.83% of maxillary premolars; 84.33%, 15%, 0%, and 0.67% of mandibular premolars were classified as type B, M, L, and N. The frequency distribution of angulation classifications indicated that, 20.83%, 46%, 32.17%, and 1% of maxillary premolars; 2%, 5.33%, 36.67%, and 56% of mandibular premolars were classified as class 1, 2, 3, and 4. The buccal bone thickness in most locations of premolar sites was less than 1 mm. Conclusions: The classification of clinical relevance of SRP and angulation of the premolar root to osseous housing would help for treatment planning and improving interdisciplinary communication of immediate implant placement (IIP) in the premolar region.

scholarly journals C-Shaped Canal System in Mandibular Second Molars Evaluated by Cone-Beam Computed Tomography in an Argentinean Subpopulation

2019 ◽  
pp. 17-23
Author(s):  
Chaintiou Piorno Romina ◽  
Consoli Lizzi Eugenia Pilar ◽  
Saiegh Jonathan ◽  
Vázquez Diego Jorge ◽  
Gualtieri Ariel Félix ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Cone Beam Computed Tomography ◽  
Cone Beam ◽  
Canal System ◽  
Chi Square ◽  
Significance Level ◽  
Chi Square Test ◽  
Score Method ◽  
Radiographic Classification

Introduction:To evaluate cone-beam computed tomography (CBCT) images in order to determine the presence of mandibular second molars with C-shaped canal system and classify them.Methods:3035 CBCT images fulfilling the selection criteria were observed. Once established the presence of C-shaped canal system, they were classified according to the anatomic and radiographic classification of Fan et al. Data description was made by frequencies and percentages rates, with a 95% confidence interval (IC95) according to score method. Comparisons were assessed by means of the Chi-square test with a significance level equal to 5%.Results:Of the 225 selected patients, 44 exhibited C-shaped canals (20%; IC95: 15% to 25%). 70% (IC95: 56% to 82%) of patients showed a bilateral C-shaped canal system pattern. Regarding to the axial plane -anatomic classification-, there was a significant association between the root third and the configuration (Chi-square=76.89; p<0.05): at the coronal third prevailed the C1 configuration (47%; IC95: 36% to 58%); at the middle third prevailed the C3d configuration (39%; IC95: 28% to 50%) and at the apical third, the C4 configuration (35%; IC95: 25% to 46%).

scholarly journals ASSESSMENT OF JAW BONE DENSITY IN TERMS OF HOUNSFIELD UNITS USING CONE BEAM COMPUTED TOMOGRAPHY FOR DENTAL IMPLANT TREATMENT PLANNING

2021 ◽  
Vol 71 (1) ◽  
pp. 221-27
Author(s):  
Myra Ahmad ◽  
Yasir Ikram Ahmed ◽  
Farheen Qureshi ◽  
Muhammad Sharjeel Ashraf ◽  
Zubair Ahmed Khan ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Bone Density ◽  
Treatment Planning ◽  
Cone Beam Computed Tomography ◽  
Cone Beam ◽  
Hounsfield Units ◽  
Implant Placement ◽  
The Mean ◽  
Anterior Mandible ◽  
Implant Treatment

Objective: To assess jawbone density in terms of Hounsfield units using cone beam computed tomography fordental implant treatment planning in patients reporting to a local tertiary care dental hospital Study Design: Cross sectional study. Place and Duration of Study: Department of Periodontology and Oral Implantology, Fatima Memorial Hospital, Lahore, from Mar to Sep 2018. Methodology: A total of 100 patients who fulfilled the inclusion criteria and underwent implant placement wereincluded in the study. After ethical approval, informed and written consent, brief history was taken and a singleradiographer exposed and took cone beam computed tomography scan of all the subjects using PLANMECAmachine. A single investigator using PLANMECA software recorded jawbone density in terms of Hounsfieldunits. All data were presented as mean, SD and one way ANOVA was used. Multiple comparisons of the fourregions in the maxilla and mandible were performed with a Tukey test. An independent t-test was also used tocompare gender with age groups and bone density. Results: Total of 100 patients who underwent implant placement were included, 48 (48%) were males & 52 (52%) were females with the mean age of 28.53 ± 5.33 years. The mean jawbone density in terms of Hounsfield units using cone beam computed tomography in anterior maxilla was 709.75 ± 122.63 Hounsfield units, posterior maxilla was 299.66 ± 73.09 Hounsfield units, anterior mandible was 1093.34 ± 109.42 Hounsfield units and posterior mandible was 599.45 ± 135.55 Hounsfield units (p<.001). Conclusion: The anterior mandible and anterior...........

scholarly journals Classification of bifid mandibular canals using cone beam computed tomography

2013 ◽  
Vol 27 (6) ◽  
pp. 510-516 ◽  
Author(s):  
Gisele Maria Correr ◽  
Daiana Iwanko ◽  
Denise Piotto Leonardi ◽  
Lucienne Miranda Ulbrich ◽  
Melissa Rodrigues de Araujo ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Cone Beam Computed Tomography ◽  
Cone Beam
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