scholarly journals Long‐term Schneiderian membrane thickness changes following zygomatic implant placement: A retrospective radiographic analysis using cone beam computed tomography

2018 ◽  
Vol 29 (7) ◽  
pp. 679-687 ◽  
Author(s):  
Kai Zhao ◽  
Meifei Lian ◽  
Shengchi Fan ◽  
Wei Huang ◽  
Feng Wang ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Cone Beam Computed Tomography ◽  
Cone Beam ◽  
Membrane Thickness ◽  
Radiographic Analysis ◽  
Schneiderian Membrane ◽  
Implant Placement ◽  
Zygomatic Implant

Accuracy of Schneiderian membrane thickness: a cone-beam computed tomography analysis with histological validation

2016 ◽  
Vol 28 (6) ◽  
pp. 654-661 ◽  
Author(s):  
Angel Insua ◽  
Alberto Monje ◽  
Hsun-Liang Chan ◽  
Nouf Zimmo ◽  
Lujain Shaikh ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Cone Beam Computed Tomography ◽  
Cone Beam ◽  
Membrane Thickness ◽  
Schneiderian Membrane ◽  
Tomography Analysis ◽  
Histological Validation

scholarly journals Schneiderian membrane thickness variation following endodontic procedures: a retrospective cone beam computed tomography study

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Thera Van Den Munckhof ◽  
Shanon Patel ◽  
Garrit Koller ◽  
Erwin Berkhout ◽  
Francesco Mannocci ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Cone Beam Computed Tomography ◽  
Cone Beam ◽  
Thickness Variation ◽  
Membrane Thickness ◽  
Schneiderian Membrane

scholarly journals Comparison between Micro-Computed Tomography and Cone-Beam Computed Tomography in the Assessment of Bone Quality and a Long-Term Volumetric Study of the Augmented Sinus Grafted with an Albumin Impregnated Allograft

2020 ◽  
Vol 9 (2) ◽  
pp. 303 ◽  
Author(s):  
Márton Kivovics ◽  
Bence Tamás Szabó ◽  
Orsolya Németh ◽  
Dóra Iványi ◽  
Bálint Trimmel ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Bone Quality ◽  
Cone Beam Computed Tomography ◽  
Volume Fraction ◽  
Cone Beam ◽  
Micro Ct ◽  
Trabecular Thickness ◽  
Implant Placement ◽  
Ct Data

The purpose of our study was to compare micromorphometric data obtained by cone-beam computed-tomography (CBCT) and microcomputed-tomography (micro-CT) of the augmented sinus and to evaluate the long-term stability of the bone gain achieved using BoneAlbumin. Sinus lifts, and after 6-months, healing bone-biopsy and implant placement were carried out. Specimens were analyzed by micro-CT. A total of 16 samples were collected from nine patients (mean age 54.7 ± 6.5 years). Pre-, postoperative, and 3-year control CBCT-data were registered to determine from where the biopsy samples were harvested. Micromorphometric variables were calculated from the micro-CT- and CBCT-data, and their correlation was determined by Spearman’s test. The volume of augmented bone was calculated at the time of implant placement and after 3 years. A positive correlation was found between bone-volume fraction, trabecular-separation, open-, and total-porosity, while a negative correlation was found between trabecular-thickness obtained from CBCT- and micro-CT-data (p < 0.05). Mean volumetric reduction of 39.28% (11.88–60.02%) was observed. Correlation of CBCT- and micro-CT-data suggested that micromorphometric analysis of CBCT reconstructions of the augmented sinuses provided reliable information on the microarchitecture of augmented bone. CBCT as a modality might be adequate in the analysis of bone quality in the augmented sinus. At the 3-year, control sinus grafts showed volumetric stability.

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.

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