Understanding the morphology of teeth is crucial in restorative dentistry in terms of restoring teeth’ anatomy, aesthetics, and function. Objectives: (1) this study describes an innovative method of teaching and learning tooth anatomy that applied shading techniques to 3D drawing the molar occlusal surfaces; (2) the study aims to survey learners’ opinions about the method’s effectiveness. Materials and methods: This study was conducted on 118 third-year dental students at the University of Medicine and Pharmacy, Hue University, from March to May 2022. The 3D occlusal surface drawing was developed and applied in teaching, and feedback was received from students. All statistical analysis was analyzed using SPSS version 26.0. Results: Instructions for 3D drawing were detailed and explained step-by-step, from forming to shading the occlusal surfaces. Subsequently, 57.3% - 90.9% of students self-assessed their proficiency in comprehending the characteristics of the occlusal anatomy. 73.3% - 95.8% of students agreed on the utility. 73.1% of students agreed to be willing to apply the 3D drawing method in learning other subjects. Conclusion: Instructions for 3D drawing were built step-by-step, from forming to shading the occlusal surfaces. After completing the course, a high percentage of students agreed on the advantages of this method. Further studies are needed to evaluate the effectiveness of the 3D drawing method in clinical practice

Objective: In Viet Nam, tuberculosis (TB) prevalence surveys revealed that approximately 98% of individuals with pulmonary TB have TB-presumptive abnormalities on chest radiographs, while 32% have no TB symptoms. This prompted the adoption of the “Double X” strategy, which combines chest radiographs and computer-aided detection with GeneXpert testing to screen for and diagnose TB among vulnerable populations. The aim of this study was to describe demographic, clinical and radiographic characteristics of symptomatic and asymptomatic Double X participants and to assess multilabel radiographic abnormalities on chest radiographs, interpreted by computer-aided detection software, as a possible tool for detecting TB-presumptive abnormalities, particularly for subclinical TB. Methods: Double X participants with TB-presumptive chest radiographs and/or TB symptoms and known risks were referred for confirmatory GeneXpert testing. The demographic and clinical characteristics of all Double X participants and the subset with confirmed TB were summarized. Univariate and multivariable logistic regression modelling was used to evaluate associations between participant characteristics and subclinical TB and between computer-aided detection multilabel radiographic abnormalities and TB. Results: From 2020 to 2022, 96 631 participants received chest radiographs, with 67 881 (70.2%) reporting no TB symptoms. Among 1144 individuals with Xpert-confirmed TB, 51.0% were subclinical. Subclinical TB prevalence was higher in older age groups, non-smokers, those previously treated for TB and the northern region. Among 11 computer-aided detection multilabel radiographic abnormalities, fibrosis was associated with higher odds of subclinical TB. Discussion: In Viet Nam, Double X community case finding detected pulmonary TB, including subclinical TB. Computer-aided detection software may have the potential to identify subclinical TB on chest radiographs by classifying multilabel radiographic abnormalities, but further research is needed.