Detection Accuracy of Bone Defects Depending on Exposure Settings of Cone Beam Computed Tomography

2020 ◽  
Vol 40 (2) ◽  
pp. e65-e72
Author(s):  
Spyridon Vassilopoulos ◽  
Yiorgos Bobetsis ◽  
Michalis Mastoris ◽  
Eudoxie Pepelassi ◽  
Keti Nikopoulou-Karagianni
Keyword(s):  
Computed Tomography ◽  
Cone Beam Computed Tomography ◽  
Bone Defects ◽  
Cone Beam ◽  
Detection Accuracy

scholarly journals Comparison of the different voxel sizes in the estimation of peri-implant fenestration defects using cone beam computed tomography: an ex vivo study

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Mehmet Hakan Kurt ◽  
Nilsun Bağış ◽  
Cengiz Evli ◽  
Cemal Atakan ◽  
Kaan Orhan
Keyword(s):  
Computed Tomography ◽  
Cone Beam Computed Tomography ◽  
Ex Vivo ◽  
Statistical Significance ◽  
Area Under The Curve ◽  
Titanium Implant ◽  
Bone Defects ◽  
Titanium Implants ◽  
Cone Beam ◽  
Voxel Size

Abstract Background To examine the influence of voxel sizes to detect of peri-implant fenestration defects on cone beam computed tomography (CBCT) images. Materials and methods This study performed with three sheep heads both maxilla and mandible and two types of dental implant type 1 zirconium implant (Zr40) (n = 6) and type 2 titanium implant (Ti22) (n = 10). A total of 14 peri-implant fenestrations (8 buccal surfaces, 6 palatal/lingual surface) were created while 18 surfaces (8 buccal, 10 palatal/lingual) were free of fenestrations. Three observers have evaluated the images of fenestration at each site. Images obtained with 0.75 mm3, 0.100 mm3, 0.150 mm3, 0.200 mm3, and 0.400 mm3 voxel sizes. For intra- and inter-observer agreements for each voxel size, Kappa coefficients were calculated. Results Intra- and inter-observer kappa values were the highest for 0.150 mm3, and the lowest in 0.75 mm3 and 0.400 mm3 voxel sizes for all types of implants. The highest area under the curve (AUC) values were found higher for the scan mode of 0.150 mm3, whereas lower AUC values were found for the voxel size for 0.400 mm3. Titanium implants had higher AUC values than zirconium with the statistical significance for all voxel sizes (p ≤ 0.05). Conclusion A voxel size of 0.150 mm3 can be used to detect peri-implant fenestration bone defects. CBCT is the most reliable diagnostic tool for peri-implant fenestration bone defects.

scholarly journals Detection of peri-implant bone defects using cone-beam computed tomography and digital periapical radiography with parallel and oblique projection

2019 ◽  
Vol 49 (4) ◽  
pp. 265 ◽  
Author(s):  
Bardia Vadiati Saberi ◽  
Negar Khosravifard ◽  
Farnaz Ghandari ◽  
Arash Hadinezhad
Keyword(s):  
Computed Tomography ◽  
Cone Beam Computed Tomography ◽  
Bone Defects ◽  
Cone Beam ◽  
Oblique Projection ◽  
Periapical Radiography

scholarly journals Tomografia computadorizada no planejamento cirúrgico em Periodontia: revisão de literatura

2016 ◽  
Vol 73 (4) ◽  
pp. 305
Author(s):  
Alessandra Areas e Souza ◽  
Ingrid De Assis Mota Costa ◽  
Paula Mozer Vidal
Keyword(s):  
Computed Tomography ◽  
Cone Beam Computed Tomography ◽  
Surgical Planning ◽  
Three Dimensional ◽  
Conventional Radiography ◽  
Bone Defects ◽  
Response To Treatment ◽  
Cone Beam ◽  
Pubmed Database ◽  
Periodontal Biotype

Objective: The aim of this study was to conduct a literature review on the use of cone-beam computed tomography in periodontics and determine the extent and severity of periodontal lesions so as to encourage the development of a new concept for diagnosis and surgical planning in periodontics. Material and methods: A literature search was conducted in PubMed database using the following keywords: computed tomography, diagnosis periodontics, bone defects, furcation lesions, and periodontal biotype. A total of 33 articles were found. Results: A review of the articles suggested benefits in using this technology in periodontal surgical planning, for treatment of furcation lesions, bone defects, and determination of periodontal biotype. Conclusion: Cone-beam computed tomography three-dimensional images is superior to conventional radiography. It also minimizes patient exposure to ionizing radiation, optimizes surgical planning, and decreases operative time, leading to a better response to treatment. This technology is very useful in clinical practice, but is not used widely in periodontics. We believe that the use of this technology should be promoted among professionals.

scholarly journals Fenestration and dehiscence frequency in maxillary teeth with apical periodontitis: a CBCT study

2021 ◽  
Vol 33 (1) ◽  
pp. 36-44
Author(s):  
Héctor Monardes ◽  
Karin Steinfort ◽  
Nuria Almonacid ◽  
Marcela Bustos ◽  
Jaime Abarca
Keyword(s):  
Computed Tomography ◽  
Cone Beam Computed Tomography ◽  
Root Canal ◽  
Bone Defects ◽  
Apical Periodontitis ◽  
Endodontic Treatment ◽  
Root Canal Treatment ◽  
Cone Beam ◽  
Treatment Methods ◽  
Dehiscence Defect

Introduction: to determine the frequency of fenestration and dehiscence bone defects present in maxillary teeth with apical periodontitis, mainly in teeth with endodontic treatment, as they are frequently cause of nonspecific symptoms after treatment. Methods: 1201 Maxillary Cone Beam Computed Tomography (CBCT) exams were analyzed and 803 teeth with apical periodontitis were selected. Results: of the teeth with apical periodontitis, 142 had a fenestration defect (18%) of which 105 teeth (74%) were endodontically treated. The highest frequency was observed in premolars, with no statistical differences between groups. Dehiscence defect was found in 139 teeth (17%) out of which 90 (65%) were endodontically treated. The highest frequency was observed in molars, with statistical differences in relation to other tooth types (p< 0.001). Conclusion: an important number of teeth with apical periodontitis present dehiscence or fenestration bone defects, especially in teeth with root canal treatment.

Detection of periapical bone defects in human jaws using cone beam computed tomography and intraoral radiography

2009 ◽  
Vol 42 (6) ◽  
pp. 507-515 ◽  
Author(s):  
S. Patel ◽  
A. Dawood ◽  
F. Mannocci ◽  
R. Wilson ◽  
T. Pitt Ford
Keyword(s):  
Computed Tomography ◽  
Cone Beam Computed Tomography ◽  
Bone Defects ◽  
Cone Beam ◽  
Intraoral Radiography

scholarly journals Comparison between different cone-beam computed tomography devices in the detection of mechanically simulated peri-implant bone defects

2020 ◽  
Vol 50 (2) ◽  
pp. 133
Author(s):  
Jun Ho Kim ◽  
Reinaldo Abdala-Júnior ◽  
Luciana Munhoz ◽  
Arthur Rodriguez Gonzalez Cortes ◽  
Plauto Christopher Aranha Watanabe ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Cone Beam Computed Tomography ◽  
Bone Defects ◽  
Cone Beam

ASSESSMENT OF STAFNE BONE DEFECTS PREVALENCE BY USING CONE BEAM COMPUTED TOMOGRAPHY: A RETROSPECTIVE STUDY

2018 ◽  
Vol 2017 (2017) ◽  
Author(s):  
Kemal Özgür DEMİRALP ◽  
Emine Şebnem KURŞUN ÇAKMAK ◽  
Seval BAYRAK
Keyword(s):  
Computed Tomography ◽  
Retrospective Study ◽  
Cone Beam Computed Tomography ◽  
Bone Defects ◽  
Cone Beam
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