A Dynamic Study of Mandibular Movement Trajectories in Patients With Disc Displacement Without Reduction.

Poster 249: Effect of NSAIDs on Pain in TMJ Internal Derangement

Background:Texture features were the intrinsic properties of the human tissues and could efficiently detect the subtle functional changes of involved tissue. The pathologic changes of the lateral pterygoid muscle (LPM) were significantly correlated with the temporomandibular disc displacement. However, the occult functional changes of LPM could not be detected by the naked eye on the medical images. The current study was aimed to evaluate the functional changes of the LPM in the patients with temporomandibular disorders (TMDs) using texture analysis.Methods:Twenty-nine patients with TMD were performed with magnetic resonance (MR) imaging on a 3.0T MR scanner, who were consecutively recruited from the TMD clinic of Hainan Hospital of Chinese People's Liberation Army General Hospital from February 2019 to September 2019. The patients were classified into three groups according to the disc displacement: disc without displacement (DWoD), disc displacement with reduction (DDWR) and disc displacement without reduction (DDWoR). The gray-level co-occurrence matrix method was applied with the texture analysis of LPM on the axial T2-weighted imaging. The texture features included angular second moment, contrast, correlation, inverse different moment, and entropy. One-way analysis of variance was used for grouped comparisons and receiver operating characteristics (ROC) curve analysis was applied to evaluate the diagnostic efficacy of the texture parameters.Results:Texture contrast of LPM presented significantly lower in DDWoR (46.30 [35.03, 94.48]) than that in DWoD (123.85 [105.06, 143.23]; test statistic = 23.05; P < 0.001). Texture entropy of LPM showed significant differences among DWoD (7.62 ± 0.33), DDWR (6.76 ± 0.35), and DDWoR (6.46 ± 0.39) (PDWoD-DDWR < 0.001, PDWoD-DDWoR < 0.001, and PDDWR-DDWoR = 0.014). Area under the ROC curve (AUC) demonstrated that texture entropy had an excellent diagnostic accuracy for DWoD-DDWR (AUC = 0.96) and DWoD-DDWoR (AUC = 0.98).Conclusion:The texture contrast and entropy could identify the altered functional status of LPM in patients with TMD and could be considered as the effective imaging biomarker to evaluate the functional changes of LPM in TMD.

Changes in condylar dimensions in temporomandibular joints with disk displacement

Primary screening model for temporomandibular joint disc displacement based on triple-view face images

To investigate the dental and skeletal aspects of malocclusion in the anteroposterior and vertical dimensions in a sample of temporomandibular disorders (TMD) patients and to correlate these aspects with the signs and symptoms of TMD. A total of 150 TMD patients were divided into five groups according to the Diagnostic Criteria for TMD: Group 1 = myalgia (M); Group 2 = disc displacement with reduction (DDWR); Group 3 = disc displacement without reduction (DDWOR); Group 4 = degenerative disorders (D); and Group 5 = subluxation (S). Molar and canine relations, overjet, overbite, occlusal guidance, occlusal interferences, and centric slides were recorded for each patient, and the skeletal craniofacial patterns were analyzed for each patient using cone beam computed tomography. One-way analysis of variance was used to compare the variable means of the different groups. Pearson correlation coefficient was used to assess the correlations of quantitative continuous variables. Significance level was considered at P < .05. No significant difference was found among the groups regarding any aspects of dental occlusion except for mediotrusive interferences, which were significantly higher in Group 3 (DDWOR) (P = .02). Regarding skeletal craniofacial pattern, Group 4 (D) had significantly smaller mean ± standard deviation sella-nasion-B (SNB) point angle (74.31 ± 3.04 degrees) than Group 3 (DDWOR) (78.04 ± 4.88 degrees), and Group 1 (M) showed the greatest SNB angle (79.87 ± 3.73 degrees) (P = .03). Group 3 (DDWOR) showed significantly greater mean mandibular plane/SN angle (39.56 ± 6.19 degrees) than Group 1 (M) (34.73 ± 5.65 degrees) (P = .04). Relations between occlusal variables and TMD parameters were nonsignificant. This study provides robust evidence to diminish the TMD-malocclusion association, especially in myogenic types of TMD.

Symptomatic disc displacement (DD) of the temporomandibular joint (TMJ) may cause pain and limited mouth opening. The aetiopathogenesis is obscure and probably complex, which makes the diagnostic classification crude and mainly based on clinical criteria rather than disease mechanisms, and tissue characteristics. The study aim was to characterise and quantify synovial tissue in DD, where specific cytokine patterns might serve as potential biomarkers. An observational cohort study was performed harvesting synovial tissue from 63 patients: 44 with DD without reduction (DDwoR) and 19 with DD with reduction (DDwR). DDwoR was subdivided depending on type of onset (sudden, n=17; delayed, n=27), and DDwR served as the control group. Proteins were extracted from tissue samples and investigated in a multi-analytic profiling system. DDwoR patients had significantly higher concentrations in 12 out of 28 analysed cytokines compared to DDwR. In the same statistical model, significantly lower concentrations of interferon gamma-induced protein (IP) 10, osteoprotegerin (OPG) and RANTES were detected in DDwoR patients. Women showed significantly higher concentrations of epidermal growth factor and interleukin (IL) 1ra compared to men. DDwoR with sudden onset had significant higher concentrations of bone morphogenetic protein 4, eotaxin and IL-8 compared to DDwoR with delayed onset. Characterising the biomarker panel for TMJ conditions may serve as suggestible targets for disease classification and novel treatment options. The significantly lower concentrations of IP-10, OPG and RANTES could be proposed as putative markers for the separation of the studied conditions to other TMJ diseases.

Objective: To evaluate the histological changes of the retrodiscal tissue in the patients with temporomandibular disorders (TMD). Methods: Thirty-three TMD patients were performed with temporomandibular joint (TMJ) MRI examinations from April 2018 to April 2020 in TMD clinic, Hainan Hospital of General Hospital of Chinese PLA. The patients groups were classified according to the disc position as follows: normal position (NP) (29 TMJ), disk displacement with reduction (DDwR) (14 TMJ) and disk displacement without reduction (DDwoR) (23 TMJ). The gray-level co-occurrence matrix (GLCM) analysis was applied with the retrodiscal tissue on the open oblique sagittal proton weighted images. The texture parameters included as follows: angular second moment (ASM), contrast, correlation, inverse difference moment (IDM) and entropy. The statistical methods mainly included Kruskal-Wallis H test, one-way analysis of variance and receiver operating characteristic curve (ROC), to analyze the texture characteristic parameters of the retrodiscal tissue are statistically significant. Results: There was no significant difference of the retrodiscal tissue's ASM, contrast, correlation and IDM among 3 groups (P>0.05). The entropy in NP group (3.98±0.44) and DDwR group (4.20±0.52) presented significant higher than that in DDwoR group (3.70±0.38) (P<0.05). ROC analysis for the entropy demonstrated that the area under the curve was 0.70 when differentiating NP and DDwR (cut-off value 0.38, sensitivity 82.61%, specificity 55.17%), and was 0.79 when differentiating DDwR and DDwoR (cut-off value 0.47, sensitivity 82.61%, specificity 64.29%). Conclusions: Texture entropy could be primarily used to evaluate the histological and pathological changes of the retrodiscal tissue in the TMD patients.

Whether pain, jaw function and quality of life are correlated with disc positions is controversial, and similar studies evaluating disc positions by magnetic resonance imaging (MRI) are very limited. This study evaluated the pain, mandibular function and quality of life of the temporomandibular disorders (TMDs) patients with different disc positions according to MRI, and the relationship among them. Three hundred and thirty-five participants were included. Patients completed questionnaires included the Numeric Rating Scale (NRS), Jaw Functional Limitation Scale 8-item (JFLS-8), the Generalised Anxiety Disorder 7-item (GAD-7), Patient Health Questionnaire 9-item (PHQ-9) and Oral Health Impact Profile for TMD (OHIP-TMD). MRI was conducted to evaluate these diagnoses, resulting in the identification of three distinct categories: normal positioning (NP), disc displacement with reduction (DDwR) and disc displacement without reduction (DDwoR). Participants had the mean age of 28.55 ± 11.10 years (80.90% women). DDwR and DDwoR had a higher percentage of females compared with NP. Significant differences existed among patients in all questionnaires. The DDwoR group had significantly the highest pain, functional limitation and the worst quality of life. Moreover, they experienced the most difficulties in chewing tough foods, yawning, experiencing pain and psychological discomfort. Moreover, the multivariate regression showed that age, female gender, diagnosis as DDwoR, GAD-7 and PHQ-9 were significantly linked to higher functional limitation. Worse quality of life was associated with age, diagnosis as DDwoR, GAD-7 and PHQ-9. Among patients with different disc positions, DDwoR showed the highest pain, functional limitation and the worst quality of life. Also, NP showed a proportion of chronic pain. Physical pain, psychological discomfort and chewing tough food were regarded as the most impaired. Women who experience anxiety and depression tended to have a higher propotion of dysfunction and a lower quality of life.

Magnetic resonance imaging (MRI) is the gold standard for diagnosing disc displacement in temporomandibular joint (TMJ) disorders, but its high cost and practical challenges limit its accessibility. This study aimed to develop a machine learning (ML) model that can predict TMJ disc displacement using only cone-beam computed tomography (CBCT)-based radiomics features without MRI. CBCT images of 247 mandibular condyles from 134 patients who also underwent MRI scans were analyzed. To conduct three experiments based on the classification of various patient groups, we trained two ML models, random forest (RF) and extreme gradient boosting (XGBoost). Experiment 1 classified the data into three groups: Normal, disc displacement with reduction (DDWR), and disc displacement without reduction (DDWOR). Experiment 2 classified Normal versus disc displacement group (DDWR and DDWOR), and Experiment 3 classified Normal and DDWR versus DDWOR group. The RF model showed higher performance than XGBoost across all three experiments, and in particular, Experiment 3, which differentiated DDWOR from other conditions, achieved the highest accuracy with an area under the receiver operating characteristic curve (AUC) values of 0.86 (RF) and 0.85 (XGBoost). Experiment 2 followed with AUC values of 0.76 (RF) and 0.75 (XGBoost), while Experiment 1, which classified all three groups, had the lowest accuracy of 0.63 (RF) and 0.59 (XGBoost). The RF model, utilizing radiomics features from CBCT images, demonstrated potential as an assistant tool for predicting DDWOR, which requires the most careful management.

The aim of this systematic review was to evaluate the prevalence of temporomandibular joint disorders (TMJD) among the general population. Five main electronic databases and three grey literature were searched to identify observational studies in which TMJD was diagnosed using the research diagnostic criteria (RDC/TMD) or diagnostic criteria (DC/TMD). The studies were blindly selected by two reviewers based on eligibility criteria. Risk of bias (RoB) was assessed using the Joanna Briggs Institute Critical Appraisal Checklist, and the "R" Statistics software was used to perform meta-analyses. From 2741 articles, 21 were included. Ten studies were judged at low RoB, seven at moderate, and four at high. The TMJD investigated were as follows: arthralgia, disk displacement (DDs) with reduction (DDwR), DDwR with intermittent locking, DDs without reduction (DDwoR) with limited opening, DDwoR without limited opening, degenerative joint disease (DJD), osteoarthritis, osteoarthrosis, and subluxation. The main results from prevalence overall meta-analyses for adults/elderly are as follows: TMJD (31.1%), DDs (19.1%), and DJD (9.8%). Furthermore, for children/adolescents are as follows: TMJD (11.3%), DDs (8.3%), and DJD (0.4%). Considering the individual diagnosis meta-analyses, the most prevalent TMJD is DDwR for adults/elderly (25.9%) and children/adolescents (7.4%). The overall prevalence of TMJD was approximately 31% for adults/elderly and 11% for children/adolescents, and the most prevalent TMJD was DDwR. Knowledge about the frequency of TMJD can encourage dentists to consider appropriate strategies for early and correct diagnosis and, if need be, correct management.

Aim The aim of this systematic review was to evaluate importance of TMJ and assessing the prevalence of temporomandibular joint disorders (TMJD) among the general population. Methodology Five main electronic databases and three grey literature were searched to identify observational studies in which TMJD was diagnosed using the research diagnostic criteria (RDC/TMD) or diagnostic criteria (DC/TMD). The studies were blindly selected by two reviewers based on eligibility criteria. Risk of bias (RoB) was assessed using the Joanna Briggs Institute Critical Appraisal Checklist, and the “R” Statistics software was used to perform meta-analyses. Results From 2741 articles, 21 were included. Ten studies were judged at low RoB, seven at moderate, and four at high. The TMJD investigated were as follows: arthralgia, disk displacement (DDs) with reduction (DDwR), DDwR with intermittent locking, DDs without reduction (DDwoR) with limited opening, DDwoR without limited opening, degenerative joint disease (DJD), osteoarthritis, osteoarthrosis, and subluxation. The main results from prevalence overall meta-analyses for adults/elderly are as follows: TMJD (31.1%), DDs (19.1%), and DJD (9.8%). Furthermore, for children/adolescents are as follows: TMJD (11.3%), DDs (8.3%), and DJD (0.4%). Considering the individual diagnosis meta-analyses, the most prevalent TMJD is DDwR for adults/elderly (25.9%) and children/adolescents (7.4%).

Retrospective evaluation of the duration of arthrocentesis in the treatment of temporomandibular joint diseases

Decision-making in the management of TMJ disc displacement without reduction: A qualitative study

BackgroundThe correlation between temporomandibular disorders (TMD) and imaging features remains unclear. This study compared the cone beam computed tomography (CBCT) and magnetic resonance imaging (MRI) features in the temporomandibular joints (TMJs) with and without TMD symptoms.MethodsThe participants were recruited from the TMJ Diagnosis and Treatment Center from March 2022 to September 2022. Condylar morphology and condylar position were evaluated by CBCT. Disc morphology, disc position, and joint effusion were evaluated by T2-weighted image of MRI. The Chi-Square test and binary logistic regression analysis were carried out.ResultsEighty-two patients with bilateral symptoms, 196 patients with unilateral symptoms, and 79 asymptomatic participants received MRI and CBCT examination. There were significant differences in the distribution of sex, age, condylar morphology, condylar position, disc morphology, disc position, and joint effusion in symptomatic and asymptomatic TMJs (P < 0.05), which showed a positive correlation with symptoms (P < 0.05). In multiple logistic regression, 19–30-year-age group, > 30-year-age group, abnormal condylar morphology, posterior condylar position, disc displacement with reduction (DDWR), and disc displacement without reduction (DDWoR) were found to be statistically significant (P < 0.05). The odds of having symptomatic TMJ were 1.952 higher in the 19–30-year-age group and 1.814 higher in the > 30-year-age group when compared to those aged ≤ 18-year-age group. The odds of having symptomatic TMJ were 2.360 higher in persons with abnormal condylar morphology when compared to those with normal condylar morphology. The odds of having symptomatic TMJ were 2.591 higher in persons with posterior condylar position when compared to those with the normal condylar position. The odds of having symptomatic TMJ were 2.764 higher in persons with DDWR and 4.189 higher in persons with DDWoR when compared to those with normal disc position. The area under the curve of the model was 0.736 ± 0.019 (95% CI 0.700–0.773, P = 0.000), which indicated that the model has a good fitting effect.ConclusionsThe imaging findings of TMJs were significantly different between symptomatic and asymptomatic TMJs. TMD is affected by multiple factors including > 19-year-age, abnormal condylar morphology, posterior condylar position, DDWR, and DDWoR, which could be risk factors for the development of TMD symptoms.Trial registration This study was retrospectively registered on 28/03/2022 and endorsed by the Ethics Committee of Affiliated Stomatology Hospital of Guangzhou Medical University (LCYJ2022014).

Objective: To evaluate the mandibular condylar location and morphology in the temporomandibular joint disorders. Methods: One hundred thirty-seven TMD patients (age 37.5±16.1 years, male/female=39/98) were performed with MRI scan for temporomandibular joint (TMJ) from November, 2011 to April, 2019 in Department of Radiology,Hainan Hospital of General Hospital of Chinese PLA and General Hospital of Chinese PLA. The patients were classified into 3 groups according the disc displacement: disc without displacement (DWoD) (185 TMJ), disc displacement with reduction (DDWR) (17 TMJ) and disc displacement without reduction (DDWoR) (72 TMJ). The location (anterior position, central position and posterior position) and morphology (oval shape, flat shape and beaklike shape) of the condylar head were observed on the sagittal PDWI, and the long and short axes were measured on the axial T2WI. Another groups were classified into 3 subgroups according to the disc displacement of bilateral TMJ: bilateral normal disc location (biND) (74 cases), unilateral disc displacement (uniDD) (40 cases) and bilateral disc displacement (23 cases). The inter-condyle angle was measured on the axial T2WI. Results: There was no significant difference for the location of condylar head among DWoD, DDWR and DDwoR groups (χ(2)=7.435, P=0.115). The rate for flat condylar shape was significantly higher in DWoD group [83.9%(115/137)] than that in DDWoR group [50.7%(34/67)], and the rate for beaklike condylar shape was significantly lower in DWoD group [16.1%(22/137)] than that in DDWoR group [49.3%(33/67)] (χ(2)=23.521, P<0.001). The length of long axis presented significantly longer in DWoD group [(17.2±2.4) mm] than that in DDWR group [(15.4±2.0) mm] and that in DDWoR group [(14.7±2.7) mm] (P<0.05). The length of short axis presented significantly longer in DWoD group [(7.3±1.2) mm] than that in DDWR group [(6.5±1.3) mm] and that in DDWoR group [(6.1±1.4) mm] (P<0.05). The inter-condyle angle presented significantly larger in biND group (136°±13°) and uniDD group (132°±14°) than that inbiDD group (124°±17°) (P<0.05). Conclusions: The mandibular condylar morphology changes significantly presented in the patients with temporomandibular disc displacement for the temporomandibular disorders.