The attachments of eustachian tube, levator and tensor veli palati muscles on the base of the skull were measured from the skulls of human adults, infants, newborns ad well as monkeys, dogs and rabbits, respectively. Anatomical characteristics of the levator and tensor veli palati muscles that related to eustachian tubal ventilation and skull morphology were analysed. In addition, some head specimens were dissected for contrast. Levator veli palati muscle (LVPM) lies in the posterioinferior of the eustachian tube. The angles between LVPM and median saggital plane and the angles between LVPM and horizontal plane of palate are larger and their ability of raising the eustachian tube is more effective in the adult than in the newborn and animal. From the eustachian tube to the hamulus, tensor veli palati muscle (TVPM) descends almost vertically in the adult, but ventroward in the newborn and animals, which suggested their different actions upon eustachian tube. The skull morphology of the human adult differs from child and animal, which changes the position and function of LVPM and TVPM. In conclusion, eustachian tube was opened by LVPM chiefly in the adult while by TVPM in the newborn and animal. The incidence of otitis media with effusion is higher in the infant as it is the trasitional stage that the action of TVPM had been decreased while that of LVPM would not have been established.

Objective: To establish primary immune thrombocytopenia (ITP) animal model induced by anti-platelet membrane glycoprotein GPⅠbα antibodies AN51 and R300. Methods: Twenty guinea pigs (6-8 week) were divided into 4 groups. Five guinea pigs in each group were intravenously injected with different doses of AN51 (0.05, 0.1, 0.2 μg/g) and 0.2 μg/g IgG as control. The whole blood was collected from inner angular venous plexus. Platelets number was determined by an automated cell counter and Swiss-Jim method. Then, the similar protocol was used to establish ITP nude mice model by intraperitoneal injection of different concentrations of anti-platelet GPⅠbα antibody R300, respectively. Results: ①Five minutes after intravenous injection of AN51 at 0.05, 0.1 and 0.2 μg/g, the platelet counts of guinea pigs reduced about 0-5%, 50%-60% and 70%-80% compared to the control group, respectively. The difference was statistically significant (P<0.01) . ②Six hours after intraperitoneal injection of R300 at 0.05, 0.1, 0.2 μg/g, the platelet counts of nude mice decreased about 20%-30%, 60%-70% and 80%-90% compared to the control group, respectively. The difference was statistically significant (P<0.01) . The nude mice, injected 0.2 μg/g R300 once a day for 2 weeks, showed typical ITP clinical manifestations including large number of petechiaes or ecchymoses on limbs, head and abdomen. Conclusion AN51 at 0.2 μg/g and R300 at 0.2 μg/g could establish stable ITP model in guinea pigs and nude mice respectively.

OBJECTIVES: To investigate the reliability and accuracy of deep learning technology in automatic sex estimation using the 3D reconstructed images of the computed tomography (CT) from the Chinese Han population. METHODS: The pelvic CT images of 700 individuals (350 males and 350 females) of the Chinese Han population aged 20 to 85 years were collected and reconstructed into 3D virtual skeletal models. The feature region images of the medial aspect of the ischiopubic ramus (MIPR) were intercepted. The Inception v4 was adopted as the image recognition model, and two methods of initial learning and transfer learning were used for training. Eighty percent of the individuals' images were randomly selected as the training and validation dataset, and the remaining were used as the test dataset. The left and right sides of the MIPR images were trained separately and combinedly. Subsequently, the models' performance was evaluated by overall accuracy, female accuracy, male accuracy, etc. RESULTS: When both sides of the MIPR images were trained separately with initial learning, the overall accuracy of the right model was 95.7%, the female accuracy and male accuracy were both 95.7%; the overall accuracy of the left model was 92.1%, the female accuracy was 88.6% and the male accuracy was 95.7%. When the left and right MIPR images were combined to train with initial learning, the overall accuracy of the model was 94.6%, the female accuracy was 92.1% and the male accuracy was 97.1%. When the left and right MIPR images were combined to train with transfer learning, the model achieved an overall accuracy of 95.7%, and the female and male accuracies were both 95.7%. CONCLUSIONS The use of deep learning model of Inception v4 and transfer learning algorithm to construct a sex estimation model for pelvic MIPR images of Chinese Han population has high accuracy and well generalizability in human remains, which can effectively estimate the sex in adults.
Adult ; Female ; Humans ; Male ; Deep Learning ; Imaging, Three-Dimensional ; Pelvis ; Reproducibility of Results ; Tomography, X-Ray Computed ; Young Adult ; Middle Aged ; Aged ; Aged, 80 and over