Background Temporomandibular disorders (TMD) are a broad category of conditions arising from the various components of the temporomandibular joint complex. Bio-psychosocial model is the most accepted theory describing the etiopathogenesis of TMD. Dental students are vulnerable to psychological disorders, including anxiety, depression, and stress. Hence, the aim of the current study was to evaluate the prevalence and possible risk factors of TMD among dental students of various academic levels and explore the association of TMDs with demographic, academic, and psychosocial parameters. Methods A total of 246 students of a Saudi Arabia dental school were chosen for the study. After getting consent, all students were examined according to the Diagnostic Criteria for Temporomandibular Disorders, including Axis I and II components. Results The overall cross-sectional prevalence of TMD was found to be 36.99%. Pain arising from the jaw, temple, and the peri-auricular area were the most commonly reported symptoms and elicited signs during examination. Among the pain-related TMD, myalgia was the commonest diagnosed condition, whereas disc displacement with reduction was found prevalent in the intra-articular disorder category. Female (OR = 1.94; P = 0.004), married (OR = 1.74; P = 0.04), and students in clinical academic levels (OR = 1.65; P = 0.03) were found to have significantly increased risk of TMD. Among the psychosocial parameters, anxiety (OR = 1.55; P = 0.04) and parafunctional behaviours (OR = 2.10; P < 0.001) were shown to increase the risk of developing TMD. Students with any TMD reported to have significantly higher pain intensity levels (OR = 1.68; P = 0.01) and jaw functional limitations (OR = 1.45; P = 0.008). Conclusion Dental students, especially in clinical levels were shown to pose a higher risk of developing TMD, hence strategies such as academic counselling and objective evaluation via rubrics should be planned to modify the administration of the curriculum, training methods and evaluation process.

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In Malaysia, oral cancer is very common and the reported 5-year survival of such patients is nearly 50% after treatment with surgery and radiotherapy, much lower than most of the developed countries. This study aimed to investigate the socio-demographic and clinicopathological parameters that influence the mortality rate of the patients suffering from oral squamous cell carcinoma (OSCC) in the Kelantanse population. In this retrospective study, data regarding socio-demographic, clinicopathological factors, and treatment outcome associated with OSCC were gathered from the archives of the medical records office of Hospital Universiti Sains Malaysia. For statistical analysis, simple and multiple logistic regression were performed. The significance level was set to P < .25. A total of 211 OSCC cases were registered in Hospital Universiti Sains Malaysia from January 1, 2000 to December 31, 2018. Majority of them were male (57.82%), non-smoker (54.97%), non-alcohol consumer (91.94%), and non-betel quid chewer (93.83%) Malay (60.66%) patients. The tongue was the most commonly involved part of the oral cavity (41.52%). Histologically, the majority of the cases had moderately-differentiated OSCC (52.82%). Most of the patients were diagnosed at stage IV at the time of diagnosis (61.61%). When this study was performed, the survival status of the majority of the patients was alive (68.24%). Within the analyzed socio-demographic and clinicopathological parameters, gender, alcohol consumption, T-classification, histological grading, and treatment status have been demonstrated as an independent risk factors for mortality rate in multivariate analysis. Hence, these parameters need to be taken into account for the individualized therapy management of OSCC patients.

Cone-beam computed tomography (CBCT) has been accepted as a useful tool for diagnosis and treatment planning in dentistry. Despite a growing trend of CBCT in dentistry, it has some disadvantages like artifacts. Artifacts are discrepancies between the reconstructed visual image and the actual content of the subject which degrade the quality of CBCT images, making them diagnostically unusable. Additionally, structures that do not exist in the subject may appear within images. Such structures can occur because of patient motion, the image capture and reconstruction process. To optimize image quality, it is necessary to understand the types of artifacts. This article aims to throw light on the various types of artifacts associated with CBCT images.

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