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Background The transformation of dental practice from conventional methods to digital technology has been widely discussed. This study aimed to examine the awareness, understanding, and attitudes towards the use of digital technology in dentistry, with a particular focus on computer-aided design/computer-aided manufacturing (CAD/CAM) technology. Methods A cross-sectional study was conducted, involving a questionnaire distributed to a diverse group of participants from the dental field. The questionnaire covered aspects of digital technology in dentistry, including awareness, perceived usefulness, understanding of CAD/CAM technology, perceived benefits and shortcomings, system awareness, and the impact on clinical decision-making. Results Almost all participants (99.3%) reported being aware of digital technology in dentistry. The perceived utility of digital technology varied widely, but it was considered particularly useful for specific dental procedures. Most of the respondents (948 out of 953) were aware of CAD/CAM technology, and many acknowledged its benefits, including fewer appointments, less chairside time, and greater precision. However, high cost, lack of knowledge, and preference for traditional methods were identified as barriers to adoption. Most participants believed that CAD/CAM would influence clinical decision-making and expressed interest in integrating it into their regular workflow. A majority had attended CAD/CAM training programs and believed there was a need to increase education on CAD/CAM during undergraduate and postgraduate courses. While a significant majority agreed that digital technology was the future of dentistry, a substantial number also expressed reservations. Conclusion The study concluded that there is a high level of awareness and readiness to adopt digital technology in dentistry. However, its perceived utility varied among participants, and several barriers to adoption were identified, indicating the need for expanded education and training. Despite some resistance, there is a growing recognition of the potential benefits of CAD/CAM technology and a trend towards integrating it into regular practice.
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CONTEXT: Welded diamond and vacuum diffusion technology (WDVDT) burs in comparison to electroplated burs claim to approach the solution of dental hard tissues by increased cutting efficiency, decreasing the overheating of oral tissues and thus reducing the microcracks on the prepared tooth surface. AIMS: This study aimed to evaluate the cutting efficiency of two different rotary diamond burs used for tooth preparation with their repeated usage on the surface changes of the prepared tooth. SETTINGS AND DESIGN: This in vitro comparative study evaluated the cutting efficiency and surface changes of the teeth prepared with conventional electroplated burs and WDVDT burs. SUBJECTS AND METHODS: Thirty freshly extracted, healthy, noncarious human premolars were divided into Group A and Group B with 15 each, and were further subdivided into three subgroups depending on the different usage intervals as first, fifth, and tenth (A1-A3 and B1-B3). The surface of each prepared specimen was evaluated quantitatively using a surface profilometer, and qualitative analysis was done using a scanning electron microscope. STATISTICAL ANALYSIS USED: Two-way ANOVA and Turkey's multiple post hoc tests were used. RESULTS: The mean surface roughness of Groups A1, A2, and A3 was 1.50 ± 0.40, 2.39 ± 0.39, and 2.65 ± 0.65 Ra, respectively. The mean surface roughness of Groups B1, B2, and B3 was 0.76 ± 0.23, 0.92 ± 0.10, and 1.24 ± 0.07 Ra, respectively. The mean surface roughness of the prepared tooth surface was significantly higher in Group A and its subgroups when compared to that of Group B and its subgroups. CONCLUSIONS: The study results showed that surface roughness was considerably lesser and also had less wear and increased cutting efficiency of tooth preparations using burs made with WDVDT compared to the preparations using conventional electroplated burs.
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Aim: To evaluate the efficacy of machine learning in identification of dental implant systems from panoramic radiographs based on the shape. Settings and Design: In vitro-Descriptive study. Materials and Methods: A Dataset of digital panoramic radiographs of three dental implant systems were obtained. The images were divided into two datasets: one for training and another for testing of the machine learning models. Machine learning algorithms namely, support vector machine, logistic regression, K Nearest neighbor and X boost classifiers were trained to classify implant systems from radiographs, based on the shape using Hu and Eigen values. Performance of algorithms was evaluated by its classification accuracy using the test dataset. Statistical Analysis Used: Accuracy and recover operating characteristic (ROC) curve were calculated to analyze the performance of the model. Results: The classifiers tested in the study were able to identify the implant systems with an average accuracy of 0.67. Of the classifiers trained, logistic regression showed best overall performance followed by SVM, KNN and X boost classifiers. Conclusions: Machine learning models tested in the study are proficient enough to identify dental implant systems; hence we are proposing machine learning as a method for implant identification and can be generalized with a larger dataset and more cross sectional studies.
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Implantes Dentários , Algoritmos , Estudos Transversais , Aprendizado de Máquina , Máquina de Vetores de SuporteRESUMO
The restoration of normal function and esthetic appearance with a dental prosthesis is a major challenge in the rehabilitation of patients who have lost their teeth and surrounding bone because of surgery for oral cyst or tumor. Rehabilitation with fixed or removable prosthesis is even more challenging when the edentulous span is long and the ridge is defective. Anatomic deformities and unfavorable biomechanics encountered in the region of resection add to the misery. In such situation, a fixed-removable prosthesis allows favorable biomechanical stress distribution along with restoration of esthetics, phonetics, comfort, hygiene, and better postoperative care and maintenance. This article describes rehabilitation of two cases with mandibular defects with an attachment-retained fixed-removable hybrid prosthesis.
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INTRODUCTION: An earlier epidemiological study by these authors revealed fluorosis at very low levels of fluoride concentrations in drinking water. AIM: The objective of present study was to investigate risk factors of dental fluorosis in permanent teeth in the villages of northern Karnataka, India. MATERIALS AND METHODS: The present survey was carried out in three villages of Hungund Taluk, Bagalkot District, Karnataka, India, with the fluoride concentration of 0.136, 0.381, and 1.36 ppm. Children aged between 9 and 15, with permanent teeth, were examined for dental fluorosis using Dean's index, as per WHO criteria. Required relevant information regarding risk factors was obtained through a questionnaire. STATISTICAL ANALYSIS: Data entry and analysis were performed using SPSS for Windows 16.0. Comparison of means of different indices by the three groups was performed using ANOVA and t-test (p < 0.05). Bivariate analysis was performed to identify significant risk factors that affected prevalence and severity of dental fluorosis. Those variables showing a statistically significant association (p < 0.05) on χ2 were entered into multiple logistic regressions to assess their independent effects. RESULTS: In this study, we analyzed risk factors for both prevalence and severity of fluorosis. From multiple logistic regression analysis, only fluoride concentration in drinking water was found significant with prevalence of fluorosis and only nutritional status showed significant association with severity of fluorosis. CONCLUSION: Presence or absence of dental fluorosis in permanent teeth was significantly associated with fluoride concentration in drinking water. Once present, its severity was determined by nutritional status of the children - malnourished children exhibiting severe form of fluorosis. HOW TO CITE THIS ARTICLE: Mahantesha T, Dixit UB, Nayakar RP, Ashwin D Ramagoni NK, Ellore VPK. Prevalence of Dental Fluorosis and associated Risk Factors in Bagalkot District, Karnataka, India. Int J Clin Pediatr Dent 2016;9(3):256-263.
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The coronal cast restoration continues to be used commonly to restore mutilated, endodontically treated teeth. The tensile bond strength of luting cements is of critical importance as many of failures are at the core and the crown interface. An invitro study with aim to evaluate and compare bond strengths of luting cements between different core materials and cast crowns. A total of 45 extracted identical mandibular second premolars were endodontically treated and divided into 3 groups of 15 each. Specimens in first group were restored with cast post and core (Group C), and specimens in second group were restored with stainless steel parapost and composite core material (Group B) and specimens in third group were restored with stainless steel parapost and glass ionomer core build (Group G). Standardized crown preparation was done for all the specimens to receive cast crowns. Each group was further divided into 3 subgroups and were cemented using 3 different luting cements namely, resin cement, polycarboxylate cement, glass ionomer cement (Type I). The samples of each subgroup (n = 5) were subjected to tensile testing using Universal Testing Machine at a crosshead speed of 2 mm/min till the dislodgement of crown from the core surface was observed. The bond strengths were significantly different according one way ANOVA (F-150.76 and p < 0.0000). The results of the study showed that the specimens cemented with resin cement in cast core, composite core and glass ionomer core exhibited significantly higher bond strengths as compared to specimens cemented with glass ionomer and polycarboxylate cement. Composite resin core and resin cement combinations were superior to all other cement and core combinations tested.