OBJECTIVES: In prosthodontic procedures, traditional computer-aided design (CAD) is often time-consuming and lacks accuracy in shape restoration. In this study, we combined implicit template and deep learning (DL) to construct a precise neural network for personalized tooth defect restoration. METHODS: Ninety models of right maxillary central incisor (80 for training, 10 for validation) were collected. A DL model named ToothDIT was trained to establish an implicit template and a neural network capable of predicting unique identifications. In the validation stage, teeth in validation set were processed into corner, incisive, and medium defects. The defective teeth were inputted into ToothDIT to predict the unique identification, which actuated the deformation of the implicit template to generate the highly customized template (DIT) for the target tooth. Morphological restorations were executed with templates from template shape library (TSL), average tooth template (ATT), and DIT in Exocad (GmbH, Germany). RMSestimate, width, length, aspect ratio, incisal edge curvature, incisive end retraction, and guiding inclination were introduced to assess the restorative accuracy. Statistical analysis was conducted using two-way ANOVA and paired t-test for overall and detailed differences. RESULTS: DIT displayed significantly smaller RMSestimate than TSL and ATT. In 2D detailed analysis, DIT exhibited significantly less deviations from the natural teeth compared to TSL and ATT. CONCLUSION: The proposed DL model successfully reconstructed the morphology of anterior teeth with various degrees of defects and achieved satisfactory accuracy. This approach provides a more reliable reference for prostheses design, resulting in enhanced accuracy in morphological restoration. CLINICAL SIGNIFICANCE: This DL model holds promise in assisting dentists and technicians in obtaining morphology templates that closely resemble the original shape of the defective teeth. These customized templates serve as a foundation for enhancing the efficiency and precision of digital restorative design for defective teeth.
Computer-Aided Design , Deep Learning , Dental Prosthesis Design , Incisor , Neural Networks, Computer , Humans , Incisor/anatomy & histology , Dental Prosthesis Design/methods , Models, Dental , Maxilla/anatomy & histology
<p><b>OBJECTIVE</b>To study the therapeutic efficacy of total nutrition admixture (TNA) containing 30.6% BCAA, MCT/LCT, glucose, vitamin, electrolytes in rat with acute hepatic failure (AHF).</p><p><b>METHOD</b>30 Wistar rats were randomly divided into 4 groups: Normal control, AHF control, Fat-free nutrient admixture group, TNA group. AHF model was induced by D-galactosamine Liver and renal function, nitrogen balance, plasma total protein, albumin, prealbumin, fibronectin, hemoglobin, aminogram, tumor necrosis factor, lymphocyte transformation rate, glucose, blood fat tests etc were determined.</p><p><b>RESULTS</b>The improvement of liver and renal function was better in TNA group than those in other groups. ALT ALP TBil BUN were lower in TNA group than those in other groups. TP, ALB, PA, N-balance in TNA group were significantly higher than those in other groups. The spectrum of plasma amino acids of the TNA group was close to the normal and the control group. The TNF in TNA group were significantly higher than that in Fat-free nutrient admixture group. The stimulation index in TNA group was significantly higher than that in other groups. The difference of triglyceride in TNA group and normal diet was statistically significant, The difference of cholesterol in TNA group and Fat-free nutrient admixture was statistically significant, The difference of lipid peroxidation in four groups was not statistically significant.</p><p><b>CONCLUSION</b>Nutritional supportive treatment is necessary for AHF.</p>
Animals , Male , Rats , Analysis of Variance , Biomarkers , Blood , Disease Models, Animal , Drug Combinations , Fat Emulsions, Intravenous , Chemistry , Pharmacology , Therapeutic Uses , Galactans , Lipids , Blood , Liver , Metabolism , Liver Failure, Acute , Metabolism , Therapeutics , Liver Function Tests , Nitrogen , Metabolism , Parenteral Nutrition, Total , Random Allocation , Rats, Wistar
<p><b>OBJECTIVE</b>To investigate the diet and nutritional status of hospitalized children with blood disease in order to provide nutritional guidelines.</p><p><b>METHODS</b>The patients' daily dietary intakes, including breakfast, lunch, dinner and additional meals, were recorded in detail for seven consecutive days. The intake amount of various nutrients was calculated using the dietary database.</p><p><b>RESULTS</b>The majority of children with blood disease showed inadequate intakes of calories [mean 1825.81 kCal/d, 73.62% of the recommended intake (RNI)] and protein (mean 67.68 g/d, 81.34% of RNI). Intakes of vitamin E and riboflavin were adequate, but intakes of vitamin A, thiamine and vitamin C (66.67%, 77.78% and 69.89% of RNI, respectively) were inadequate. Iron and selenium intakes were adequate, but calcium and zinc intakes (41.11% and 56.21% of RNI, respectively) were grossly inadequate.</p><p><b>CONCLUSIONS</b>Hospitalized children with blood disease had decreased dietary intakes of calories, protein, vitamin A, vitamin C, thiamin, calcium and zinc. The dietary pattern and nutritional intake need to be improved.</p>
Adolescent , Child , Child, Preschool , Female , Humans , Infant , Male , Ascorbic Acid , Energy Intake , Hematologic Diseases , Metabolism , Hospitalization , Nutritional Status , Reactive Oxygen Species , Metabolism , Selenium , Vitamin A , Zinc
