Objective To observe the value of intratumoral and peritumoral CT radiomics combined with clinic for predicting cervical lymph node metastasis(CLNM)of papillary thyroid carcinoma(PTC).Methods Totally 338 patients with PTC were retrospectively enrolled and divided into training set(n=236)and validation set(n=102)at a ratio of 7∶3,also further assigned into subgroups according to CLNM or not within sets.The clinical independent risk factors for PTC CLNM were identified using multivariate logistic regression analysis,and a clinical model was then constructed.Intratumoral ROI were delineated on CT images including non-enhanced and three-phase enhancement images,which were then enlarged by 2 mm.Radiomics models of intratumoral,peritumoral and intratumoral+peritumoral ROI were established based on non-enhanced CT,as well as arterial phase,venous phase,delayed phase and multi-phase enhanced CT,respectively,the best one was selected and combined with clinical model to construct a combined model.Receiver operating characteristic curve was drawn,and the area under the curve(AUC)was calculated to evaluate the efficacy of each model for predicting PTC CLNM.Results Male patient and aged＜45 years were both clinical independent risk factors for PTC CLNM(both P＜0.05).Multi-phase intratumoral+peritumoral radiomics model was the optimal radiomics model,which was used to construct the combined model combining with clinical model.The AUC of combined model for predicting PTC CLNM in training set was 0.859,superior to that of clinical model and multi-phase intratumoral+peritumoral radiomics model(0.684,0.831,both P＜0.05),which in validation set was 0.832,similar to that of multi-phase intratumoral+peritumoral radiomics model(0.819,P=0.368)but superior to that of clinical model(0.605,P＜0.001).Conclusion Multi-phase intratumoral and peritumoral CT radiomics could be used to predict PTC CLNM.Combining with clinic could further improve its efficacy.

Objective To observe the value of intratumoral and peritumoral CT radiomics combined with clinic for predicting cervical lymph node metastasis(CLNM)of papillary thyroid carcinoma(PTC).Methods Totally 338 patients with PTC were retrospectively enrolled and divided into training set(n=236)and validation set(n=102)at a ratio of 7∶3,also further assigned into subgroups according to CLNM or not within sets.The clinical independent risk factors for PTC CLNM were identified using multivariate logistic regression analysis,and a clinical model was then constructed.Intratumoral ROI were delineated on CT images including non-enhanced and three-phase enhancement images,which were then enlarged by 2 mm.Radiomics models of intratumoral,peritumoral and intratumoral+peritumoral ROI were established based on non-enhanced CT,as well as arterial phase,venous phase,delayed phase and multi-phase enhanced CT,respectively,the best one was selected and combined with clinical model to construct a combined model.Receiver operating characteristic curve was drawn,and the area under the curve(AUC)was calculated to evaluate the efficacy of each model for predicting PTC CLNM.Results Male patient and aged＜45 years were both clinical independent risk factors for PTC CLNM(both P＜0.05).Multi-phase intratumoral+peritumoral radiomics model was the optimal radiomics model,which was used to construct the combined model combining with clinical model.The AUC of combined model for predicting PTC CLNM in training set was 0.859,superior to that of clinical model and multi-phase intratumoral+peritumoral radiomics model(0.684,0.831,both P＜0.05),which in validation set was 0.832,similar to that of multi-phase intratumoral+peritumoral radiomics model(0.819,P=0.368)but superior to that of clinical model(0.605,P＜0.001).Conclusion Multi-phase intratumoral and peritumoral CT radiomics could be used to predict PTC CLNM.Combining with clinic could further improve its efficacy.

Objective: To understand the prevalence of school bullying and depressive symptoms among the Han, Yi, and Tibetan adolescents in western China, and to explore the relationships between bullying roles, bullying frequency and depression symptoms. Methods: A combination method of typical sampling and cluster sampling was used to recruit 3 115 participants from six primary and middle schools in Cangxi County and Ganluo County in Sichuan Province, and Lhasa City in Tibet Autonomous Region from April to November 2020. All participants completed self filled questionnaires. Multiple Logistic regression was used to analyze the association between school bullying and depression symptoms. Results: A total of 881 participants (28.3%) had experienced school bullying in the past 6 months, and 892 participants(28.6%) were detected with depressive symptoms. The rates of school bullying in the Han, Yi, and Tibetan adolescents were 20.5%, 46.4% and 23.8%, respectively. Among them, the rates of victims were 15.3%, 25.0% and 11.8%, respectively; the rates of bully were 2.3%, 5.7% and 6.7%, respectively; the rates of bully victims were 2.9%, 5.7% and 5.4%, respectively. The prevalence of depressive symptoms in the Han, Yi, and Tibetan adolescents were 20.4%, 37.9% and 36.5%, respectively. After adjusting for age, grade, ethnicity, smoking, and drinking, the odds for depressive symptoms among victims ( AOR=1.98, 95%CI =1.61- 2.45 ), bully ( AOR=2.63, 95%CI =1.81-3.82), and bully victims ( AOR=3.33, 95%CI =2.44-4.54) were significantly higher than those without school bullying experience( P <0.01). And the risks increased with the increasing bullying frequency. Conclusion School bullying and depressive symptoms of the Yi and the Tibetan adolescents in western China were higher than those of the Han adolescents. Meanwhile, participation in school bullying and the high frequency of bullying were closely related to depressive symptoms. Future interventions should pay attention to various bullying roles and minority adolescents.

Objective: To verify the applicability of the theory of planned behavior(TPB) in the physical exercise behaviors of rural adolescents in Sichuan Province, and to explore the possible influencing factors of physical exercise behaviors, and to provide a theoretical basis for further effective intervention measures. Methods: A total of 2 302 students were selected from grade seven and grade ten of two rural middle schools in Zizhong, Sichuan Province. The survey was conducted with a structured questionnaire. Using TPB as the research framework and basis, the structural equation model was constructed for analysis. Results: Lack of physical exercise was 1 527(66.3%).Physical exercise behavior was statistically different among schools, grades(t=-7.40，-2.90，10.90,P<0.05)， and genders. Based on TPB, the structural equation model was established and corrected to obtain the revised model, and the fitting index GFI=0.93, CFI=0.94, NFI=0.94, TLI=0.93, IFI=0.94,RMSEA=0.07, indicating the model fitted good. Exercise intention directly affected exercise behaviors. The standardized effect was 0.45(95%CI=0.39-0.52). Subjective norms and perceived power were the main two mediators of the relationship between value evaluation and exercise intention. The standardized effect values were 0.66(95%CI=0.57-0.73), 0.23(95%CI=0.16-0.93)(P<0.01). Conclusion There is serious lack of physical exercise in rural adolescents in Sichuan Province. TPB has a good applicability for physical exercise in rural adolescents in Sichuan Province. Subjective norm is the most important factors to promote exercise intentions.