[A Case of Laparoscopic Total Gastrectomy for Juvenile Polyposis of Stomach with Synchronous Multiple Intramucosal Carcinomas].

The patient was a 57-year-old woman. She was referred to our hospital because severe anemia. Upper gastrointestinal endoscopy revealed polyposis throughout the stomach and lobulated polyps in cardia, greater curve of middle body of the stomach, and angulus. Colonoscopy and small bowel endoscopy showed no obvious abnormal findings. Based on these findings, a laparoscopic total gastrectomy with D1 lymph node dissection was performed for suspected juvenile polyposis of stomach with severe anemia. The gross examination of the resection specimen revealed diffuse polyposis throughout the stomach, and histopathological examination revealed hyperplasia of the orbital epithelium throughout the stomach and lack of edema in lamina propria of mucous and eosinophil leukocytic infiltration, leading to the diagnosis of juvenile polyposis of stomach. Two well differentiated adenocarcinomas were found in 2 locations, which remained within the mucosa. We report a case of laparoscopic total gastrectomy for juvenile polyposis of the stomach with gastric cancer, with some discussion of the literature.

Computational and training requirements for interatomic potential based on artificial neural network for estimating low thermal conductivity of silver chalcogenides.

We examined the estimation of thermal conductivity through molecular dynamics simulations for a superionic conductor, α-Ag2Se, using the interatomic potential based on an artificial neural network (ANN potential). The training data were created using the existing empirical potential of Ag2Se to help find suitable computational and training requirements for the ANN potential, with the intent to apply them to first-principles calculations. The thermal conductivities calculated using different definitions of heat flux were compared, and the effect of explicit long-range Coulomb interaction on the conductivities was investigated. We clarified that using a rigorous heat flux formula for the ANN potential, even for highly ionic α-Ag2Se, the resulting thermal conductivity was reasonably consistent with the reference value without explicitly considering Coulomb interaction. It was found that ANN training including the virial term played an important role in reducing the dependency of thermal conductivity on the initial values of the weight parameters of the ANN.

Therapeutic drug monitoring based on early measurements of serum teicoplanin levels in Japanese patients.

BACKGROUND: The serum level of teicoplanin (TEIC) is immediately elevated following administration of the recommended dose. In this study, the predictability of the serum trough for TEIC was investigated at day 2 or 3 (C(2-3)), and the authors performed a simulation based on the Bayesian method using C(2-3) in Japanese patients. METHODS: Patients whose the serum trough level was measured within 48 hours (C(2-3)) and at steady state (Css) were eligible for the study. C(2-3) was compared with the predicted level based on the population mean method, and Css was compared with the predicted Css based on both the Bayesian method using C(2-3) and the population mean method. Bias and prediction accuracy were evaluated by the mean prediction error and the mean absolute prediction error (MAE), respectively. RESULTS: The observed and predicted C(2-3) values were 13.2 ± 4.2 µg/mL and 10.4 ± 2.1 µg/mL, respectively. The observed Css was 17.1 ± 3.7 µg/mL, and the predicted Css values based on the Bayesian method and the population mean method were 16.8 ± 2.4 µg/mL and 15.3 ± 2.1 µg/mL, respectively. The mean prediction error and MAE for Css based on the population mean method were -1.87 µg/mL (not significant) and 3.45 µg/mL, respectively, and those based on the Bayesian method were -0.35 µg/mL (not significant) and 2.27 µg/mL, respectively. The change in MAE was 1.18 µg/mL (P < 0.05). CONCLUSIONS: A simulation based on the Bayesian method using C(2-3) of TEIC is acceptable in clinical settings.