Assessment of a training programme on detection of temporomandibular joint osseous changes applying pre-defined 2D multiplane cone beam computed tomography reconstructions

2018 ◽  
Vol 45 (4) ◽  
pp. 282-288 ◽  
Author(s):  
D. Iskanderani ◽  
P. Alstergren ◽  
K. Hellén-Halme
Keyword(s):  
Computed Tomography ◽  
Temporomandibular Joint ◽  
Cone Beam Computed Tomography ◽  
Training Programme ◽  
Cone Beam ◽  
Osseous Changes

Performance of cone-beam computed tomography filters for detection of temporomandibular joint osseous changes

2014 ◽  
Vol 31 (2) ◽  
pp. 90-96 ◽  
Author(s):  
Francielle Silvestre Verner ◽  
Maria Augusta Portella Guedes Visconti ◽  
Rafael Binato Junqueira ◽  
Isabela Maddalena Dias ◽  
Luciano Ambrósio Ferreira ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Temporomandibular Joint ◽  
Cone Beam Computed Tomography ◽  
Cone Beam ◽  
Osseous Changes

scholarly journals Evaluation of temporomandibular joint disorders using cone beam computed tomography

2017 ◽  
Vol 3 (4) ◽  
pp. 698
Author(s):  
Sonam Kohli ◽  
Rahul Krishan Sharma ◽  
Anchal Goel ◽  
M. K. Sunil
Keyword(s):  
Computed Tomography ◽  
Temporomandibular Joint ◽  
Cone Beam Computed Tomography ◽  
Joint Space ◽  
Temporomandibular Joint Disorders ◽  
Cone Beam ◽  
Glenoid Fossa ◽  
Significant Difference ◽  
Mandibular Fossa ◽  
Osseous Changes

<p class="abstract"><strong>Background:</strong> <span lang="EN-IN">The aim of this study was to evaluate efficacy of segmental cone beam computed tomography (CBCT) in detecting bony changes in condyle and thickness of roof of glenoid fossa in temporomandibular joint (TMJ) disorders.</span></p><p class="abstract"><strong>Methods:</strong> The study group comprised of 10 temporomandibular disorders (TMD) patients of either sex between the age group of 20-60 years diagnosed as TMDs by clinical evaluation using the research diagnostic criteria was considered. After the clinical examination, radiographic investigations were carried out which included digital OPG, transcranial radiograph and CBCT scan. TMJ Evaluation included: (a) bony changes of the condyle (flattening, erosion, sclerosis, osteophytes, resorption); (b) joint space (normal, increased, reduced, bony contact between the condyle and the mandibular fossa); and (c) bony changes of mandibular fossa (normal, sclerosis, erosion, resorption). The radiographic findings were statistically analysed.<strong></strong></p><p class="abstract"><strong>Results:</strong> <span lang="EN-IN">Significant difference between OPG, transcranial and CBCT were found for the presence of erosion (P =0.000), thickness of roof of glenoid fossa (P =0.000), deformed contour (P =0.001), joint space (P =0.011), subchondral sclerosis (P =0.011), irregularity of articular surface and eminence (P =0.000), flattening (P =0.050). </span></p><p class="abstract"><strong>Conclusions:</strong> Using CBCT as imaging technique in our study to detect osseous changes in the TMJ was proved to be effective as compared to the conventional radiographic techniques, the results achieved with CBCT was 100%.The results obtained in our study prove to be a full proof one and it seems to promise to go one step closer to detect progression and severity of the osseous changes in the condylar head and mandibular fossa in patients with TMDs<span lang="EN-IN">.</span></p>

scholarly journals Osseous changes in the temporomandibular joint in rheumatoid arthritis: A cone-beam computed tomography study

2018 ◽  
Vol 48 (1) ◽  
pp. 1 ◽  
Author(s):  
Ola Mohamed Rehan ◽  
Hoda Abdel Kader Saleh ◽  
Hala Ahmed Raffat ◽  
Noha Saleh Abu-Taleb
Keyword(s):  
Rheumatoid Arthritis ◽  
Computed Tomography ◽  
Temporomandibular Joint ◽  
Cone Beam Computed Tomography ◽  
Cone Beam ◽  
Osseous Changes

scholarly journals New Method for Analysis of the Temporomandibular Joint Using Cone Beam Computed Tomography

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 3070
Author(s):  
Sebastian Iwaszenko ◽  
Jakub Munk ◽  
Stefan Baron ◽  
Adam Smoliński
Keyword(s):  
Computed Tomography ◽  
Temporomandibular Joint ◽  
Cross Section ◽  
Cone Beam Computed Tomography ◽  
Cone Beam ◽  
Section Plane ◽  
New Approach ◽  
Volume Of Interest ◽  
Gap Width

Modern dentistry commonly uses a variety of imaging methods to support diagnosis and treatment. Among them, cone beam computed tomography (CBCT) is particularly useful in presenting head structures, such as the temporomandibular joint (TMJ). The determination of the morphology of the joint is an important part of the diagnosis as well as the monitoring of the treatment results. It can be accomplished by measurement of the TMJ gap width at three selected places, taken at a specific cross-section. This study presents a new approach to these measurements. First, the CBCT images are denoised using curvilinear methods, and the volume of interest is determined. Then, the orientation of the vertical cross-section plane is computed based on segmented axial sections of the TMJ head. Finally, the cross-section plane is used to determine the standardized locations, at which the width of the gap between condyle and fossa is measured. The elaborated method was tested on selected TMJ CBCT scans with satisfactory results. The proposed solution lays the basis for the development of an autonomous method of TMJ index identification.

scholarly journals Temporomandibular Joint Osseous Morphology of Class I and Class II Malocclusions in the Normal Skeletal Pattern: A Cone-Beam Computed Tomography Study

Diagnostics ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 541
Author(s):  
Xiao-Chuan Fan ◽  
Lin-Sha Ma ◽  
Li Chen ◽  
Diwakar Singh ◽  
Xiaohui Rausch-Fan ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Temporomandibular Joint ◽  
Cone Beam Computed Tomography ◽  
Class Ii ◽  
Class I ◽  
Cone Beam ◽  
Glenoid Fossa ◽  
Linear Measurements ◽  
Significant Difference ◽  
Skeletal Pattern

(1) Background—The aim of the present study was to evaluate the correlation between the temporomandibular joint (TMJ) osseous morphology of normal skeletal pattern individuals with different dental malocclusions by using cone-beam computed tomography (CBCT). (2) Methods—The CBCT images of bilateral TMJs in 67 subjects with skeletal class I and average mandibular angle (26 males and 41 females, age range 20–49 years) were evaluated in this study. The subjects were divided into class I, class II division 1, and class II division 2 according to the molar relationship and retroclination of the maxillary incisors. Angular and linear measurements of TMJ were evaluated and the differences between the groups were statistically analyzed. (3) Results—Intragroup comparisons showed statistical differences for articular eminence inclination, the width of the glenoid fossa, the ratio of the width of the glenoid fossa to the depth of the glenoid fossa, the condylar angle, and the intercondylar angle between the malocclusion groups. The measurements of the glenoid fossa shape showed no significant difference between the left and right sides. Females showed more differences in the morphological parameters of TMJ between the three malocclusion groups than the males. (4) Conclusion—The present study revealed differences in the TMJ osseous morphology between dental class I and class II malocclusions in the normal skeletal pattern.

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