OBJECTIVE: To evaluate the efficacy of health education on patients with hip replacement based on the Internet, and to establish a new health education model through modern technology. METHODS: A total of 300 patients with hip replacement from March to August, 2015 were enrolled in this study. The participants were divided into a control group and an experimental group according to months surgeries performed. Traditional education was applied in the control group while the multimedia source material plus the Internet platform of Joint Registration System were applied in the experimental group. Levels of anxiety, degree of satisfaction, and postoperative complications were analyzed. RESULTS: The levels of knowledge, attitude and behavior compliance in the patients of the experimental group were significantly improved, while the levels of postoperative anxiety were decreased compared with those in the control group (P<0.05). CONCLUSION Education based on the Internet platform of Joint Registration System and the computer video could improve patients' knowledge, attitude, and behavior, which is worthy of clinical spread.
Anxiety ; Arthroplasty, Replacement, Hip ; Humans ; Internet ; Multimedia ; Patient Compliance ; Patient Education as Topic

Objective:To explore the value of salivary gland imaging based on deep learning and Delta radiomics in assessing salivary gland injury after 131I treatment in post-thyroidectomy thyroid cancer patients. Methods:A retrospective analysis on 223 patients (46 males, 177 females, age(47.7±14.0) years ) with papillary thyroid cancer, who underwent total thyroidectomy and 131I treatment in Affiliated Hospital of Guilin Medical University between December 2019 and January 2022, was conducted. All patients underwent salivary gland 99Tc mO 4- imaging before and after 131I therapy. The patients were categorized according to salivary gland function based on 99Tc mO 4- imaging results (normal salivary gland vs salivary gland injury), and divided into training and test sets in a ratio of 7∶3. A ResNet-34 neural network model was trained using images at the time of maximum salivary gland radioactivity and those based on background radioactivity counts for structured image feature data. The Delta radiomics approach was then used to subtract the image feature values of the two periods, followed by feature selection through t-test, correlation analysis, and the least absolute shrinkage and selection operator( LASSO) algorithm, to develop logistic regression (LR), support vector machine (SVM), and K-nearest neighbor (KNN) predictive models. The diagnostic performance of 3 models for salivary gland function on the test set was compared with that of the manual interpretation. The AUCs of the 3 models on the test set were compared (Delong test). Results:Among the 67 cases of the test set, the diagnostic accuracy of 3 physicians were 89.6%(60/67), 83.6%(56/67), and 82.1%(55/67) respectively, with the time required for diagnosis of 56, 74 and 55 min, respectively. The accuracies of LR, SVM, and KNN models were 91.0%(61/67), 86.6%(58/67), and 82.1%(55/67), with the required times of 12.5, 15.3 and 17.9 s, respectively. All 3 radiomics models demonstrated good classification and predictive capabilities, with AUC values for the training set of 0.972, 0.965, and 0.943, and for the test set of 0.954, 0.913, and 0.791, respectively. There were no significant differences among the AUC values for the test set ( z values: 0.72, 1.18, 1.82, all P>0.05). Conclusion:The models based on deep learning and Delta radiomics possess high predictive value in assessing salivary gland injury following 131I treatment after surgery in patients with thyroid cancer.

Objective Multimedia materials were introduced,basing on internet platform,in health education of hip arthroplasty patients,so as to create more standards,comprehensive and systematic health education service for them.The application effects would be explored.Methods From March to August 201 3, patients with hip arthroplasty in Department of Orthopedics,Xiangya Hospital Central South University,were selected by cluster sampling.The participants in this prospective cohort study were divided into control group and experimental group according to the time of surgeries.The patients of control group took traditional health education,while in the experimental group,information platform about health education was established and made to the cloud,so that oral,written and multi-media video education could be carried out.Then,behavior compliance and satisfaction degree of patients in the two groups were investigated and compared, and intervention effects were evaluated.Results Behavior compliance and satisfaction degree of health education of patients in the experiment group were higher than that in the control group (P <0.05).Specialized subject and functional exercise showed more improvement in behavior compliance.Conclusions The new mode of health education basing on the internet platform is effective to improve the behavior compliance and satisfaction in total hip arthroplasty patients,which has an obvious guidance for specialized subject and functional exercises,so it is worthy of clinical promotion.