Earticle

Purpose: Among the virtual teeth generated by Deep Convolutional Generative Adversarial Networks (DCGAN), the optimal data was analyzed for the number of learning. Methods: We extracted 50 mandibular first molar occlusal surfaces and trained 4,000 epoch with DCGAN. The learning screen was saved every 50 times and evaluated on a Likert 5-point scale according to five classification criteria. Results were analyzed by one-way ANOVA and tukey HSD post hoc analysis (α = 0.05). Results: It was the highest with 83.90±6.32 in the number of group3 (2,050-3,000) learning and statistically significant in the group1 (50-1,000) and the group2 (1,050-2,000). Conclusion: Since there is a difference in the optimal virtual tooth generation according to the number of learning, it is necessary to analyze the learning frequency section in various ways.

Purpose: The purpose of this study was to compare the marginal and internal fit of lithium disilicate ceramic inlay produced by heat pressing that inlay pattern made by subtractive manufacturing and additive manufacturing method. Methods: A mandibular lower first molar that mesial occlusal cavity (MO cavity) die was prepared. After fabricating an epoxy resin model using a silicone impression material, epoxy resin die was scanned with a dental model scanner to design an MO cavity inlay. The designed STL pile was used to fabricate wax patterns and resin patterns, and then lithium disilicate ceramic inlays were fabricated using hot-press method. For the measurement of the marginal and internal gap of the lithium disilicate, silicone replica method was applied, and gap was measured through an optical microscope (x 80). Data were tested for significant differences using the Mann-Whitney Utest. Results: The marginal fit was 103.56±9.92μm in the MIL-IN group and 81.57±9.33μm in the SLA-IN group, with a significant difference found between the two groups (p<0.05). The internal fit was 120.99±17.52μm in the MIL-IN group and 99.18±6.65μm in the SLA-IN group, with a significant difference found between the two groups (p<0.05). Conclusion: It is clinically more appropriate to apply the additive manufacturing than subtractive manufacturing method in producing lithium disilicate inlay using CAD/CAM system.

Purpose: The purpose of this study was to evaluate and compare the accuracy of definitive casts that are fabricated from digital intraoral impression and conventional impression technique. Methods: A master model(ANNA-4, Frasaco GmbH, Tettnang, Germany) with the prepared upper full arch tooth was used. Conventional impression and then stone model(n=10) were produced from this master model, and on the other hands, digital impressions were made with the CS-3600 intraoral scanner(n=10). Six linear measurements were recorded between landmarks, directly on each of the stone models on two occasions by a single examiner. Measurements were made with a digital caliper to the nearest 0.01mm from manual models and with the software(Delcam PowerSHAPE) from the virtual models. The t-student test for paired samples and intraclass correlation coefficient(ICC) were used for statistical analysis. Results: The measurement of two methods showed good reliability. The ICC of the two models were 0.88~0.91(stone model) and 0.94~0.99(digital model). The mean differences to master model for stone model and digital model were 0.10~0.14mm, and 0.14~0.20mm, respectively. Conclusion: The definitive casts obtained with digital intraoral technique model had significantly larger dimensions as compared to those of the stone model. However, the differences to the master model detected appear to provide enough accuracy and reliability for clinical application.

Purpose: This study is to compare and analyze the precision of glass fiber resin dentures. Methods: A lower edentulous model was prepared. Ten study models were produced using Type Ⅳ stone. Ten wax lower resin dentures containing artificial teeth were prepared. The lower wax denture was buried with plaster and deflasking was performed to remove the wax. Five conventional lower resin dentures and five glass fiber lower resin dentures were produced. The scanning spray was coated on the impression surface and then scanned. Independent sample t-test were performed using statistical software. Results: In the color different map, which is a qualitative evaluation, the green area of the precision of the conventional lower resin denture occupied the whole. The glass fiber conventional resin dentures had many negative and positive area. In quantitative evaluation, the RMS of conventional lower resin was 89.83 μm and that of fiberglass resin was 224.92 μm. The two groups showed statistically significant differences (p<0.05). Conclusion: Conventional lower resin dentures were superior in precision, and glass fiber resin dentures would have to improve the process.

Purpose: The purpose of this study was to evaluate the accuracy of the DLP 3D printer by conducting 3-dimensional assesment of resin provisional restorations. Methods: The first premolar of the maxillary was prepared for the abutment. The abutment was scanned by using a scanner. The provisional restoration was designed by using CAD software. A total of 16 resin provisional restorations were produced using ZD200 and Veltz DLP 3D printer. Scanning was done of resin provisional restorations and 3-dimensional measurement was conducted for accuracy. The mean (SD) of RMS was reported for each group. Independent t-test was used to assess the statistical significance of the results. All analyses were done using SPSS 22.0. Results: The mean ± SD of RMS value for the accuracy of the resin provisional restorations that was fabricated by using ZD200 and Veltz DLP 3D printer were 50.85.±4.64㎛ and 70.33±6.31㎛. Independent t-test showed significant differences between groups(p<0.001). Conclusion: The resin provisional restorations made with DLP 3D printers showed clinically acceptable accuracy.

Purpose: The purpose of this study was to investigate the current status and satisfaction of dental CAD/CAM system. Methods: A survey of dental technicians was conducted and a total of 353 responses were used for analysis. The satisfaction difference according to career was analyzed by ANOVA and tukey HSD (α = .05). Results: Satisfaction with the design program was 3.64 ± .86, the highest among all items. On the other hand, the satisfaction with price was 2.75 ± 1.02, which was the lowest. The difference according to career was statistically significant in the following items. Frequent breakdown, single crown margin, bridge crown margin, retentivity, price, A/S, equipment training (p<.05). Conclusion: As the materials applied to dental CAD/CAM are expanding and the types of prostheses are diversified, the use rate of CAD/CAM is continuously increasing. The dental CAD/CAM system will need to be improved in a way that will satisfy all patients, dentists and dental technicians.

Purpose: The purpose of this study was to investigate the relationship between systemic diseases and denture wear status in elderly. The subjects of this study were 4,340 seniors aged 65 or older who conducted screenings and health surveys using the National Health and Nutrition Survey data during the sixth period (2013, 2014 and 2015). Methods: For the general characteristics and denture wear status according to general systemic diseases, complex sample frequency analysis and cross-analysis were performed. After controlling the general characteristics, complex sample logistic regression analysis was performed to determine the relationship between systemic diseases and denture wear status. Statistical software was used for SPSS (SPSS 23.0 for Windows, SPSS Inc, USA). Significance level was considered as 0.05. Results: A multisample logistic regression analysis was performed to determine the relationship between systemic diseases and denture wear status. The results showed that the dentured state had a significant effect on dyslipidemia and diabetes. Conclusion: Dyslipidemia and diabetes, which are related to denture wearing condition, need to be prevented and treated with regular checkups. In addition, based on the results of the study, it is thought that the elderly need denture prosthetic treatment after tooth extraction. In addition, it can be used as basic data for oral health business plan that can maintain and manage oral health.