scholarly journals Dental malocclusion is not related to temporomandibular joint clicking: a logistic regression analysis in a patient population

2013 ◽  
Vol 84 (2) ◽  
pp. 310-315 ◽  
Author(s):  
Daniele Manfredini ◽  
Giuseppe Perinetti ◽  
Luca Guarda-Nardini
Keyword(s):  
Logistic Regression ◽  
Temporomandibular Joint ◽  
Temporomandibular Disorders ◽  
Temporomandibular Disorder ◽  
Open Bite ◽  
Final Model ◽  
Posterior Crossbite ◽  
The Difference ◽  
Contact Position ◽  
Dental Malocclusion

ABSTRACT Objectives: To assess the association of several dental malocclusion features with temporomandibular joint (TMJ) click sounds in a population of temporomandibular disorder (TMD) patients. Materials and Methods: Four hundred forty-two TMD patients (72% female; 32.2 ± 5.7 years, range 25–44 years) were divided into a TMJ clicking and a no-TMJ clicking group, based on the Research Diagnostic Criteria for Temporomandibular Disorders (RDC/TMD) assessment. Seven occlusal features were recorded for each patient: (1) posterior crossbite, (2) overbite, (3) open bite, (4) overjet, (5) mediotrusive and (6) laterotrusive interferences and (7) retruded contact position to maximum intercuspation (RCP-MI) slide length. A logistic regression model was created to estimate the association of occlusal features with TMJ clicking. Results: The difference between the groups as for the prevalence of the various occlusal features was generally not statistically significant, with minor exceptions. Mediotrusive interferences (P  =  .015) and RCP-MI slide ≥2 mm (P  =  .001) were the two occlusal features that were associated with the probability of having TMJ clicking, even if the adjusted odds ratios for TMJ clicking were low for both variables (1.63 and 1.89, respectively). Moreover, the amount of variance in the prevalence of TMJ clicking that was predicted by the final model was as low as 4.5% (R2  =  0.045). Conclusions: Findings from the present investigation suggested that in a population of TMD patients, the contribution of dental malocclusion features to predict TMJ click sounds is minimal with no clinical relevance.

scholarly journals Evaluation of occlusal factors in patients with temporomandibular joint disorder

2012 ◽  
Vol 17 (6) ◽  
pp. 61-68 ◽  
Author(s):  
Max Dória Costa ◽  
Gontran da Rocha Torres Froes Junior ◽  
Carlos Neanes Santos
Keyword(s):  
Temporomandibular Joint ◽  
Temporomandibular Disorder ◽  
Open Bite ◽  
Control Group ◽  
Temporomandibular Joint Disorder ◽  
Posterior Teeth ◽  
Posterior Crossbite ◽  
Asymptomatic Volunteers ◽  
Anterior Guidance ◽  
Joint Disorder

OBJECTIVE: The aim of this study was to determine the prevalence and the relation between the main occlusal factors and the temporomandibular disorder (TMD). METHODS: We analyzed 100 patients (50 diagnosed with TMD and 50 asymptomatic volunteers, control group) through a questionnaire that classified TMD as absent, mild, moderate and severe. Then, an evaluation was made of intraoral occlusal factors: Absence of posterior teeth, wear facets, overjet, overbite, open bite, posterior crossbite, sagittal relationship (Class I, II and III), centric relation discrepancy for maximum intercuspation, anterior guidance and balancing occlusal interference. The c² examined the association between TMD and considered occlusal variables. RESULTS: The prevalence of studied occlusal factors was higher in patients with moderate and severe TMD. Statistically significant results were found on: Absence of five or more posterior teeth, overbite and overjet greater than 5 mm, edge-to-edge bite, posterior crossbite, Class II and III, the absence of effective anterior guide and balancing side interferences. CONCLUSIONS: Indeed, it is concluded that there is a relationship between TMD and occlusal factors, however it can not be told to what extent these factors are predisposing, precipitating or perpetuating the disease. Therefore, despite its multifactorial etiology, one can not neglect the occlusal analysis of these patients.

Asociación entre hábitos parafuncionales de la cavidad bucal y los transtornos temporomandibulares en adolescentes

2018 ◽  
Vol 10 (2) ◽  
Author(s):  
Gabriel Muñoz Quintana
Keyword(s):  
Oral Cavity ◽  
Temporomandibular Joint ◽  
Temporomandibular Disorders ◽  
Temporomandibular Disorder ◽  
Neuromuscular System ◽  
Jaw Movements ◽  
Nail Biting ◽  
Palabras Clave ◽  
Masticatory System ◽  
Objective Being

La musculatura del sistema masticatorio y la articulación temporomandibular (ATM) están protegidos por reflejos nerviosos básicos y sistema neuromuscular a través de la coordinación de fuerzas musculares, todo lo que produce sobrecarga muscular repetitiva como los hábitos parafuncionales (HPF) pueden ocasionar trastornos temporomandibulares (TTM)1. Los HPF se caracterizan por movimientos anormales a la función mandibular normal sin objetivo funcional, al estar alterados constituyen una fuente productora de fuerzas traumáticas caracterizadas por dirección anormal, intensidad excesiva y repetición frecuente y duradera (Rolando Castillo Hernández, 2001)4. El objetivo del estudio fue identificar la asociación entre la presencia de hábitos parafuncionales de la cavidad bucal y los TTM en adolescentes de la ciudad de Puebla. Estudio observacional descriptivo. Se incluyeron 258 adolescentes, 132 (51.2%) mujeres y 126 (48.8%) hombres, con una edad promedio de 12.5±.73 y quienes fueron diagnosticados con los CDI/TTM y los HPF fueron auto-reportados por los pacientes. Se encontró una prevalencia de los TTM del 39.9% y una prevalencia de HPF del 86%. Los HPF más frecuentemente reportados fueron la succión labial y la onicofagia. Se encontró una asociación significativa (x2=7.31, p=0.007) entre los hábitos parafuncionales y los TTM en adolescentes. Palabras clave: Trastornos temporomandibulares, hábitos parafuncionales, adolescentes, articulación temporomandibular. Abstract The muscles of the masticatory system and temporomandibular joint (TMJ) are protected by basic nerve reflex and neuromuscular system through the coordination of muscle forces, all that repetitive muscle overload occurs as habit parafunctional (HPF) can cause temporomandibular disorder TMD)1. The characteristics of HPF are abnormal jaw movements without a functional objective. Being the jaw movements altered, they constitute a source of traumatic forces with an abnormal direction, excessive intensity and long-lasting and frequent duration. (Rolando Hernandez Castillo 2001)4. Objective: was to identify the association between the presences of parafunctional habits of the oral cavity and TMD in adolescents in the Puebla city in Mexico. Material and methods: Is a observational study, we included 258 adolescents 132 (51%) females and 126 (48.8%) were men, mean age 12.5±.73 and who were diagnosed with CDI/TTM and HPF were self- reported by patients. Results: The prevalence of TMD was 39.9% and a prevalence of 86% HPF. The most frequently reported HPF were lip sucking and nail biting. We found a significant association (x2= 7.31, p = 0,007) between HPF and TMD in adolescents. Key words: Parafunctional habits of oral cavity, temporomandibular disorders, temporomandibular joint. (Odontol Pediatr 2011;10(2): 90-94).

scholarly journals Temporomandibular Disorders and Bruxism Prevalence in a Portuguese Sample

2021 ◽  
Vol 5 (1) ◽  
pp. 37
Author(s):  
João Belo ◽  
André Almeida ◽  
Paula Moleirinho-Alves ◽  
Catarina Godinho
Keyword(s):  
Temporomandibular Joint ◽  
Temporomandibular Disorders ◽  
Temporomandibular Disorder ◽  
Masticatory Muscles ◽  
Diagnostic Aspects ◽  
Relevant Role

Temporomandibular disorder (TMD) encompasses a set of disorders involving the masticatory muscles, the temporomandibular joint and associated structures. It is a complex biopsychosocial disorder with several triggering, predisposing and perpetuating factors. In the etiology of TMD, oral parafunctions, namely bruxism, play a relevant role. The study of bruxism is complicated by some taxonomic and diagnostic aspects that have prevented achieving an acceptable standardization of diagnosis. The aim of this study was to analyze the prevalence of temporomandibular disorders and bruxism in a Portuguese sample.

scholarly journals The relationship of occlusal disharmonies and symptoms of temporomandibular disorders

2006 ◽  
Vol 134 (9-10) ◽  
pp. 380-385 ◽  
Author(s):  
Slobodan Dodic ◽  
Darinka Stanisic-Sinobad ◽  
Miroslav Vukadinovic
Keyword(s):  
Temporomandibular Disorders ◽  
Function Analysis ◽  
Temporomandibular Disorder ◽  
Control Group ◽  
Asymptomatic Group ◽  
Posterior Teeth ◽  
Average Value ◽  
Significant Difference ◽  
Relationship Of ◽  
Contact Position

Introduction: The influence of occlusal condition on the onset of temporomandibular disorder (TMD) has been strongly debated for many years and is still the source of controversy. Until 1980s, the occlusal factors such as the presence of uncured malocclusions, discrepancies between intercuspal position (ICP) and retruded contact position (RCP) greater than two millimeters, occlusal abnormality, particularly mediotrusion and retrusion, and loss of posterior teeth were considered the primary causes of TMD. Objective: The objective of our study was to find correlation of occlusion disharmonies (difference between ICP and RCP) and present sings and symptoms of TMD. Method: The study involved 60 subjects between 18 and 26 years of age who were divided in two groups. The study group consisted of 30 subjects between 18 and 26 years of age with sings and symptoms of temporomandibular disorders (TMD). TMD was confirmed according to Helkimo index. An average value of Helkimo index in this group was 1. The control group included 30 subjects between 20 and 25 years of age without TMD sings and symptoms. An average value of Helkimo index in this group was 0. The function analysis of cinematic centers position in RCP and ICP was performed in each subject using the computer pantograph Arcus-Digma (KaVo EWL GmbH, Leutkirch, Germany). Results: The results of our study showed that the translation tracing of cinematic points from RCP to ICP was significantly different in TMD subjects and asymptomatic group (p>0.16). In addition, the study revealed that 53.4 % of subjects with sings and symptoms of temporomandibular disorders had marked translation in the lower temporomandibular joint (0.61-1.2 mm) what directed to intracapsular disorders. Conclusion: The results of our study suggested significant difference of RCP and ICP between subjects with sings and symptoms of the temporomandibular disorders and subjects without sings and symptoms.

scholarly journals Automated segmentation of articular disc of the temporomandibular joint on magnetic resonance images using deep learning

2022 ◽  
Vol 12 (1) ◽  
Author(s):  
Shota Ito ◽  
Yuichi Mine ◽  
Yuki Yoshimi ◽  
Saori Takeda ◽  
Akari Tanaka ◽  
...  
Keyword(s):  
Neural Network ◽  
Deep Learning ◽  
Magnetic Resonance ◽  
Convolutional Neural Network ◽  
Temporomandibular Joint ◽  
Temporomandibular Disorders ◽  
Temporomandibular Disorder ◽  
Semantic Segmentation ◽  
Magnetic Resonance Images ◽  
Articular Disc

AbstractTemporomandibular disorders are typically accompanied by a number of clinical manifestations that involve pain and dysfunction of the masticatory muscles and temporomandibular joint. The most important subgroup of articular abnormalities in patients with temporomandibular disorders includes patients with different forms of articular disc displacement and deformation. Here, we propose a fully automated articular disc detection and segmentation system to support the diagnosis of temporomandibular disorder on magnetic resonance imaging. This system uses deep learning-based semantic segmentation approaches. The study included a total of 217 magnetic resonance images from 10 patients with anterior displacement of the articular disc and 10 healthy control subjects with normal articular discs. These images were used to evaluate three deep learning-based semantic segmentation approaches: our proposed convolutional neural network encoder-decoder named 3DiscNet (Detection for Displaced articular DISC using convolutional neural NETwork), U-Net, and SegNet-Basic. Of the three algorithms, 3DiscNet and SegNet-Basic showed comparably good metrics (Dice coefficient, sensitivity, and positive predictive value). This study provides a proof-of-concept for a fully automated deep learning-based segmentation methodology for articular discs on magnetic resonance images, and obtained promising initial results, indicating that the method could potentially be used in clinical practice for the assessment of temporomandibular disorders.

Prevalence of Sign and Symptoms of Temporomandibular Joint Disorders in Pakistani Population at Sheikhupura, Lahore: A Gender comparison

2021 ◽  
Vol 15 (8) ◽  
pp. 2166-2168
Author(s):  
Ashfaq-ur- Rahim ◽  
Muhammad Nauman ◽  
Sadiq Ali ◽  
Saima Ihsan ◽  
Tannaza Qayyum ◽  
...  
Keyword(s):  
Temporomandibular Joint ◽  
Temporomandibular Disorders ◽  
Orofacial Pain ◽  
Temporomandibular Disorder ◽  
Signs And Symptoms ◽  
Temporomandibular Joint Disorders ◽  
Female Ratio ◽  
Pakistani Population ◽  
Female Predominance ◽  
History Of

Background: Temporomandibular disorders have been considered as a common orofacial pain condition. The term temporomandibular pain dysfunction (TMPD) is used synonymously with myofacial pain dysfunction disorder/syndrome, temporomandibular disorder, craniomandibular disorder and many other terms. Objective: To evaluate the prevalence of signs and symptoms of temporo-mandibular joint disorder (TMD). Study Design: Descriptive cross-sectional study Place and Duration of Study: Department of Oral and Maxillofacial Surgery, Faryal Dental College, Sheikhupura , Lahore, Pakistan from 1st February 2019 to 31st May 2021. Methodology: One hundred adolescents aged 15 to 60 years were enrolled. A detailed history about the chief complaint was taken and clinical examination was done. Temporomandibular joint examination performed included Auscultation for temporomandibular joint sounds like clicking and crepitus and palpation of both TMJs and associated muscles for evaluation of pain. Results: The most common signs of temporomandibular joint disorders were temporomandibular joint pain 78%, temporomandibular joint clicking 53% and trismus 29%. The most prevalent predisposing factors of temporomandibular joint disorders were parafunctional habits 40%, unknown factors 23% and history of road traffic accident/history of difficult extractions 9%. Male to female ratio showed female predominance (P = 0.001). Conclusion: Signs and symptoms of temporomandibular joint disorders were prevalent in Pakistani population with a clear female predominance. Key words: Temporomandibular disorders, Temporomandibular joint, Orofacial pain, Bruxism, Headache, Pain

scholarly journals Correction of Condylar Displacement of the Mandible Using Early Screw Removal following Patient-Customized Orthognathic Surgery

2021 ◽  
Vol 10 (8) ◽  
pp. 1597
Author(s):  
Won-Seok Jang ◽  
Soo-Hwan Byun ◽  
Seoung-Won Cho ◽  
In-Young Park ◽  
Sang-Min Yi ◽  
...  
Keyword(s):  
Temporomandibular Joint ◽  
Local Anesthesia ◽  
Temporomandibular Disorders ◽  
Orthognathic Surgery ◽  
Surgical Simulation ◽  
Temporomandibular Disorder ◽  
Three Dimensional ◽  
Distal Segment ◽  
Joint Space ◽  
Dentofacial Deformities

Objective: Orthognathic surgery (OGS) is a surgical intervention that corrects dentofacial deformities through the movement of maxillary and mandibular segments to achieve adequate masticatory function, joint health, and facial harmony. However, some patients present with occlusal discrepancies, condylar sag, and/or temporomandibular disorders after OGS. Various methods have been employed to solve these problems after surgery. This study aimed to evaluate the effectiveness of early screw removal in patients with occlusal discrepancies after OGS using three-dimensional cone-beam computed tomography (CBCT). Methods: In 44 patients with dentofacial deformities, patient-customized OGSs with customized plates were performed to correct facial deformities using customized guides with computer-aided surgical simulation. Of the 44 patients, eight patients complained of occlusal discrepancies and temporomandibular disorders after OGS. These eight patients underwent screw removal under local anesthesia around four weeks. The temporomandibular joint spaces at three time points (pre-surgical, post-surgical, and after screw removal) in the sagittal and coronal planes were compared using CBCT. Results: Eight patients showed an increase in joint space on CBCT images immediately after surgery (T1), but after early screw removal (T2), these spaces almost returned to their pre-surgical state, and the temporomandibular joint problem disappeared. Conclusions: The removal of screws located in the distal segment under local anesthesia between three and four weeks post-surgically may be a treatment option for patients with post-OGS occlusal discrepancies, condylar sag, and/or temporomandibular disorder.

scholarly journals Prevalence of TMD and level of chronic pain in a group of Brazilian adolescents

2018 ◽  
Author(s):  
Paulo Correia Melo ◽  
João Marcílio Coelho Netto Lins Aroucha ◽  
Manuela Arnaud ◽  
Maria Goretti Souza Lima ◽  
Rosana Ximenes ◽  
...  
Keyword(s):  
Chronic Pain ◽  
Logistic Regression ◽  
Temporomandibular Disorder ◽  
Binary Logistic Regression ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Final Model ◽  
Economic Class ◽  
Adolescent Sample ◽  
And Gender

AbstractObjectivesTo determine the prevalence of temporomandibular disorder and associated factors in an adolescent sample from Recife, Brazil.Materials and MethodsA cross-sectional study was conducted with 1342 adolescents aged 10-17 years. The Research Diagnostic Criteria for Temporomandibular Disorder (RDC/TMD) was used by calibrated examiners to evaluate the presence and levels of chronic pain. To evaluate the socioeconomic conditions, the Brazilian Economic Classification Criteria (CCEB) questionnaire was answered by the subjects. Data were analyzed by means of binary logistic regression in SPSS.ResultsThe results showed that 33.2% of the subjects had TMD irrespective of age (p= 0.137) or economic class (p=0.507). Statistically significant associations were found between TMD and gender (p= 0.020), headache/migraine in the past six months (p=0,000) and the presence of chronic pain (p=0,000). In final model, logistic regression showed that chronic pain contributes to the presence of TMD.ConclusionsThe prevalence of TMD was considered high (33.2%) and adolescents with chronic pain were more likely to have TMD.Clinical RelevanceThe data contribute to the understanding of TMD among adolescents and to the development of preventive measures and polices to identify the dysfunction promptly.

scholarly journals Prevalence of temporomandibular joint disorder in people with Parkinson’s disease in a public university hospital

Revista CEFAC ◽  
2019 ◽  
Vol 21 (3) ◽  
Author(s):  
Renato Mariano da Silva ◽  
Vilma Lucia dos Santos ◽  
Taysa Vannoska de Almeida Silva ◽  
Carla Cabral dos Santos Accioly Lins
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Oral Health ◽  
Temporomandibular Joint ◽  
Temporomandibular Disorders ◽  
Temporomandibular Disorder ◽  
Public University ◽  
University Hospital ◽  
Temporomandibular Joint Disorder ◽  
Joint Disorder

ABSTRACT Objective: to evaluate the prevalence of temporomandibular joint disorder in people with Parkinson’s disease in a public university hospital, and relate it to sociodemographic factors, general health and oral health self-report, and phase and time of illness. Methods: the Research Diagnostic Criteria for Temporomandibular Disorders were used. The sample was classified according to the diagnosis of temporomandibular disorder and associated with the variables. The odds ratio of Chi-square was applied with a 95% confidence interval and a level of significance set at p<0.05. Results: 110 people presented with Parkinson's disease were assessed. The prevalence of temporomandibular disorder was 35%, being more frequent among males (58%), in elderly people (53%), in phase 2 of the disease (61%), click (37%) being the predominant clinical indication. Of the variables analyzed, only gender and self-perception of oral health showed to be associated with temporomandibular disorders. Conclusion: the presence of temporomandibular disorder has been observed in people with Parkinson's disease, and the fact of being male and reporting moderate oral health seen as associated factors.

scholarly journals Automated Segmentation of Articular Disc of the Temporomandibular Joint in Magnetic Resonance Images Using Deep Learning: A Proof-of-Concept Study

2021 ◽  
Author(s):  
Shota Ito ◽  
Yuichi Mine ◽  
Yuki Yoshimi ◽  
Saori Takeda ◽  
Akari Tanaka ◽  
...  
Keyword(s):  
Deep Learning ◽  
Magnetic Resonance ◽  
Temporomandibular Joint ◽  
Temporomandibular Disorders ◽  
Temporomandibular Disorder ◽  
Semantic Segmentation ◽  
Magnetic Resonance Images ◽  
Automated Segmentation ◽  
Proof Of Concept ◽  
Articular Disc

Abstract Temporomandibular disorders are typically accompanied by a number of clinical manifestations that involve pain and dysfunction of the masticatory muscles and temporomandibular joint. The most important subgroup of articular abnormalities in patients with temporomandibular disorders includes patients with different forms of articular disc displacement and deformation. Here, we propose a fully automated articular disc detection and segmentation system to support the diagnosis of temporomandibular disorder on magnetic resonance imaging. This system uses deep learning-based semantic segmentation approaches. Two hundred and seventeen magnetic resonance images obtained from patients with normal or displaced articular discs were used to evaluate three deep learning-based semantic segmentation approaches: our proposed encoder-decoder CNN named 3DiscNet (Detection for Displaced articular DISC using convolutional neural NETwork), U-Net, and SegNet-Basic. Of the three algorithms, 3DiscNet and SegNet-Basic showed comparably good metrics (Dice coefficient, sensitivity, and PPV). This study provides a proof-of-concept for a fully automated segmentation methodology of the articular disc on MR images with deep learning, and obtained promising initial results indicating that it could potentially be used in clinical practice for the assessment of temporomandibular disorders.

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