ABSTRACT
Infant nutritional status evaluation is a basic experimental skill in the experimental teaching of nutrition and food hygiene. The construction of this virtual simulation experiment can solve the problems of activeness and poor coordination of infants and young children in the actual operation of the experiment. And based on the application of this virtual simulation project, the experimental teaching method of preventive medicine was explored. This experiment adopted online and offline mixed teaching method, which enriches teaching measures and strengthens the standardized process of infant nutritional status evaluation. After 3 semesters of practice from spring 2018 to spring 2020, the proportion of students who achieved excellent grades was 30.09% (34/113), 56.02% (279/498) and 66.79% (1 080/1 617), respectively, which increased significantly year by year ( Ptrend < 0.001). Among all the 2 228 students, 1 983 students (89%) believed that this experimental teaching could better cultivate the ability of autonomous learning. Through the study of virtual simulation experiments, students have improved their subjective initiative, and laid a foundation for the improvement of students' overall quality and the requirements of school elite education.
ABSTRACT
Accurate segmentation of pulmonary nodules is an important basis for doctors to determine lung cancer. Aiming at the problem of incorrect segmentation of pulmonary nodules, especially the problem that it is difficult to separate adhesive pulmonary nodules connected with chest wall or blood vessels, an improved random walk method is proposed to segment difficult pulmonary nodules accurately in this paper. The innovation of this paper is to introduce geodesic distance to redefine the weights in random walk combining the coordinates of the nodes and seed points in the image with the space distance. The improved algorithm is used to achieve the accurate segmentation of pulmonary nodules. The computed tomography (CT) images of 17 patients with different types of pulmonary nodules were selected for segmentation experiments. The experimental results are compared with the traditional random walk method and those of several literatures. Experiments show that the proposed method has good accuracy in the segmentation of pulmonary nodule, and the accuracy can reach more than 88% with segmentation time is less than 4 seconds. The results could be used to assist doctors in the diagnosis of benign and malignant pulmonary nodules and improve clinical efficiency.
Subject(s)
Humans , Algorithms , Cluster Analysis , Lung Neoplasms , Multiple Pulmonary Nodules , Radiographic Image Interpretation, Computer-Assisted , Tomography, X-Ray ComputedABSTRACT
Objective To assess the prognostic value of tumor burden measured by 18F-fluorodeoxy glucose-positron emission tomography ( FDG PET) imaging for stage Ⅲ NSCLC). Methods Fifty-six patients with lung cancer were analyzed, to whom staging PET-CT scans before treatment concurrent chemoradiotherapy and 2-year follow-up were performed. , Relationship between overall survival (OS) and metabolic tumor volume (MTV) and maximum standardized uptake value (SUVmax) were determined.Results The estimated median OS for the cohort were 14. 5 months. Kaplan-Meier analysis showed that MTV had a significant effect on OS (x2 =5.42 ,P =0. 014). No significant relationship was found between SUVmax and OS ( x2 = 0. 74, P = 0. 391 ). According to multivariate Cox regression analysis, MTV and SUVmax wereassociatedwithincreaseddeath ( x2 = 5.54, P = 0.019; x2 = 4.47, P = 0.031 ). Conclusions This study shows that higher tumor burden assessed by PET MTV is an independent unfavorable prognostic factor in lung cancer, MTV is valuable for predicting overall survival and could be a prognostic factor.