Objective:To study the optimal anastomotic angle of end-to-side anastomosis autogenous arteriovenous fistula (AVF).Methods:A case-report and case-series design was used to obtain clinical data on 10 patients with diabetic nephropathy from Department of Nephrology, the 905th Hospital of the Chinese People′s Liberation Army Navy from June 2024 to February 2025. The models of "radial artery-cephalic vein" end-to-side anastomosis in the forearm with anastomotic angles of 30°, 40°and 50°were established. Numerical simulation was used to analyze the blood flow in the model, and to study the effect of different anastomotic angles on blood flow. Wall shear stress (WSS), cross section flow velocity and flow rate, and relative residence time (RRT) were studied in the model. The Whitney test with Holm correction was used to evaluate the difference in the median RRT between the three angle models.Results:At the moment of 0.65 s, the area fraction of low wall shear stress (LWSS) in the 30° model was 7.7%, which was reduced by 2.4% and 3.7% compared to the 40°and 50°models, respectively. At the time of 0.2 s, the area proportions of high wall shear stress (HWSS) in the 30°, 40°and 50°models were 54.4%, 43.9% and 37.4%, respectively. At 0.2 s, the maximum cross section flow velocity reached 4.07, 3.84 and 3.67 m/s for the 30°, 40°and 50°models, respectively. In the cycle, the maximum mean flow velocity for the 30°model reached 1.20 m/s. The mean flow rates of the 30°, 40°and 50°models in the J-5 cross section were 349, 316, and 328 ml/min, respectivly. For patient 6, the area proportions of the RRT>1 region were 11.97%, 14.84% and 15.22% for the 30°, 40°and 50°models, respectively.Conclusions:The optimal anastomotic angle of "radial artery-cephalic vein" for end-to-side anastomosis AVF surgery in patients with diabetic nephropathy is 40°.

Objective: To prospectively evaluate the feasibility, accuracy, and safety of multiparameter MRI-guided percutaneous biopsy using a 1T open MRI scanner for evaluating suspicious centrally located lung lesions with associated post-obstructive atelectasis. Materials and Methods: In this single-center study, MRI-guided percutaneous coaxial cutting biopsy was performed for 107 suspicious central lung lesions with associated post-obstructive atelectasis in 107 patients between July 2015 and December 2020. A fast T2-weighted imaging (T2WI)-turbo spin echo (TSE) sequence and an enhanced fast T1-weighted imaging (T1WI)-TSE sequence were used to identify, localize, and biopsy lung lesions, and diffusion-weighted imaging (DWI) was used as a supplementary sequence for identifying the lesion location. The final diagnosis was confirmed by surgical histopathology or clinical follow-up for a minimum of 24 months. The sensitivity, specificity, and accuracy for diagnosing lung malignancies were calculated, and the complications were recorded for each case. Results: Using multiparameter MRI, central lung lesions could be clearly distinguished from post-obstructive atelectasis in 96 patients (89.7%). The sensitivity, specificity, and accuracy of MRI-guided percutaneous biopsy for diagnosing lung malignancy was 97.0% (98/101), 100% (6/6), and 97.2% (104/107), respectively. Self-limited hemoptysis occurred in three patients. Pneumothorax occurred in five patients, of which none required pleural drainage. No serious procedure-related complications were observed. Conclusion As a technology that does not involve ionizing radiation, multiparameter MRI-guided percutaneous coaxial cutting biopsy is a safe and accurate diagnostic technique for evaluating centrally located lung lesions associated with post-obstructive atelectasis.

Objective: To prospectively evaluate the feasibility, accuracy, and safety of multiparameter MRI-guided percutaneous biopsy using a 1T open MRI scanner for evaluating suspicious centrally located lung lesions with associated post-obstructive atelectasis. Materials and Methods: In this single-center study, MRI-guided percutaneous coaxial cutting biopsy was performed for 107 suspicious central lung lesions with associated post-obstructive atelectasis in 107 patients between July 2015 and December 2020. A fast T2-weighted imaging (T2WI)-turbo spin echo (TSE) sequence and an enhanced fast T1-weighted imaging (T1WI)-TSE sequence were used to identify, localize, and biopsy lung lesions, and diffusion-weighted imaging (DWI) was used as a supplementary sequence for identifying the lesion location. The final diagnosis was confirmed by surgical histopathology or clinical follow-up for a minimum of 24 months. The sensitivity, specificity, and accuracy for diagnosing lung malignancies were calculated, and the complications were recorded for each case. Results: Using multiparameter MRI, central lung lesions could be clearly distinguished from post-obstructive atelectasis in 96 patients (89.7%). The sensitivity, specificity, and accuracy of MRI-guided percutaneous biopsy for diagnosing lung malignancy was 97.0% (98/101), 100% (6/6), and 97.2% (104/107), respectively. Self-limited hemoptysis occurred in three patients. Pneumothorax occurred in five patients, of which none required pleural drainage. No serious procedure-related complications were observed. Conclusion As a technology that does not involve ionizing radiation, multiparameter MRI-guided percutaneous coaxial cutting biopsy is a safe and accurate diagnostic technique for evaluating centrally located lung lesions associated with post-obstructive atelectasis.

Objective: To prospectively evaluate the feasibility, accuracy, and safety of multiparameter MRI-guided percutaneous biopsy using a 1T open MRI scanner for evaluating suspicious centrally located lung lesions with associated post-obstructive atelectasis. Materials and Methods: In this single-center study, MRI-guided percutaneous coaxial cutting biopsy was performed for 107 suspicious central lung lesions with associated post-obstructive atelectasis in 107 patients between July 2015 and December 2020. A fast T2-weighted imaging (T2WI)-turbo spin echo (TSE) sequence and an enhanced fast T1-weighted imaging (T1WI)-TSE sequence were used to identify, localize, and biopsy lung lesions, and diffusion-weighted imaging (DWI) was used as a supplementary sequence for identifying the lesion location. The final diagnosis was confirmed by surgical histopathology or clinical follow-up for a minimum of 24 months. The sensitivity, specificity, and accuracy for diagnosing lung malignancies were calculated, and the complications were recorded for each case. Results: Using multiparameter MRI, central lung lesions could be clearly distinguished from post-obstructive atelectasis in 96 patients (89.7%). The sensitivity, specificity, and accuracy of MRI-guided percutaneous biopsy for diagnosing lung malignancy was 97.0% (98/101), 100% (6/6), and 97.2% (104/107), respectively. Self-limited hemoptysis occurred in three patients. Pneumothorax occurred in five patients, of which none required pleural drainage. No serious procedure-related complications were observed. Conclusion As a technology that does not involve ionizing radiation, multiparameter MRI-guided percutaneous coaxial cutting biopsy is a safe and accurate diagnostic technique for evaluating centrally located lung lesions associated with post-obstructive atelectasis.

Objective: To prospectively evaluate the feasibility, accuracy, and safety of multiparameter MRI-guided percutaneous biopsy using a 1T open MRI scanner for evaluating suspicious centrally located lung lesions with associated post-obstructive atelectasis. Materials and Methods: In this single-center study, MRI-guided percutaneous coaxial cutting biopsy was performed for 107 suspicious central lung lesions with associated post-obstructive atelectasis in 107 patients between July 2015 and December 2020. A fast T2-weighted imaging (T2WI)-turbo spin echo (TSE) sequence and an enhanced fast T1-weighted imaging (T1WI)-TSE sequence were used to identify, localize, and biopsy lung lesions, and diffusion-weighted imaging (DWI) was used as a supplementary sequence for identifying the lesion location. The final diagnosis was confirmed by surgical histopathology or clinical follow-up for a minimum of 24 months. The sensitivity, specificity, and accuracy for diagnosing lung malignancies were calculated, and the complications were recorded for each case. Results: Using multiparameter MRI, central lung lesions could be clearly distinguished from post-obstructive atelectasis in 96 patients (89.7%). The sensitivity, specificity, and accuracy of MRI-guided percutaneous biopsy for diagnosing lung malignancy was 97.0% (98/101), 100% (6/6), and 97.2% (104/107), respectively. Self-limited hemoptysis occurred in three patients. Pneumothorax occurred in five patients, of which none required pleural drainage. No serious procedure-related complications were observed. Conclusion As a technology that does not involve ionizing radiation, multiparameter MRI-guided percutaneous coaxial cutting biopsy is a safe and accurate diagnostic technique for evaluating centrally located lung lesions associated with post-obstructive atelectasis.

Objective: To prospectively evaluate the feasibility, accuracy, and safety of multiparameter MRI-guided percutaneous biopsy using a 1T open MRI scanner for evaluating suspicious centrally located lung lesions with associated post-obstructive atelectasis. Materials and Methods: In this single-center study, MRI-guided percutaneous coaxial cutting biopsy was performed for 107 suspicious central lung lesions with associated post-obstructive atelectasis in 107 patients between July 2015 and December 2020. A fast T2-weighted imaging (T2WI)-turbo spin echo (TSE) sequence and an enhanced fast T1-weighted imaging (T1WI)-TSE sequence were used to identify, localize, and biopsy lung lesions, and diffusion-weighted imaging (DWI) was used as a supplementary sequence for identifying the lesion location. The final diagnosis was confirmed by surgical histopathology or clinical follow-up for a minimum of 24 months. The sensitivity, specificity, and accuracy for diagnosing lung malignancies were calculated, and the complications were recorded for each case. Results: Using multiparameter MRI, central lung lesions could be clearly distinguished from post-obstructive atelectasis in 96 patients (89.7%). The sensitivity, specificity, and accuracy of MRI-guided percutaneous biopsy for diagnosing lung malignancy was 97.0% (98/101), 100% (6/6), and 97.2% (104/107), respectively. Self-limited hemoptysis occurred in three patients. Pneumothorax occurred in five patients, of which none required pleural drainage. No serious procedure-related complications were observed. Conclusion As a technology that does not involve ionizing radiation, multiparameter MRI-guided percutaneous coaxial cutting biopsy is a safe and accurate diagnostic technique for evaluating centrally located lung lesions associated with post-obstructive atelectasis.

Allergen-specific immunotherapy（AIT） remains the only therapeutic approach with the potential to modify the natural course of allergic rhinitis（AR）. Nevertheless, considerable inter-individual variability exists in patients'responses to AIT. To facilitate more reliable assessment of treatment efficacy, the China Rhinopathy Research Cooperation Group（CRRCG） convened young and middle-aged nasal experts in China to formulate the present consensus. The recommended subjective outcome measures for AIT comprise symptom scores, medication scores, combined symptom and medication scores, quality-of-life assessments, evaluation of disease control, and assessment of comorbidities. Objective indicators may supplement these measures. Currently available objective approaches include skin prick testing, nasal provocation testing, and allergen exposure chambers. However, these methods remain constrained by practical limitations and are not yet appropriate for routine implementation in clinical efficacy evaluation. In addition, several biomarkers, including sIgE and the sIgE/tIgE ratio, sIgG4, serum IgE-blocking activity, IgA, cytokines and chemokines, as well as immune cell surface molecules and their functional activity, have been shown to have associations with AIT outcomes. While these biomarkers may complement subjective assessments, they are subject to significant limitations. Consequently, large-scale multicenter trials and real-world evidence are required to strengthen the evidence base. The present consensus underscores the necessity of integrating patients'subjective experiences with objective testing throughout the treatment process, thereby providing a more comprehensive and accurate framework for efficacy evaluation. Looking forward, future investigations should prioritize the incorporation of multi-omics data and artificial intelligence methodologies, which hold promise for overcoming current limitations in assessment strategies and for advancing both the standardization and personalization of AIT.
Humans ; Allergens/immunology* ; China ; Consensus ; Desensitization, Immunologic ; Immunoglobulin E ; Quality of Life ; Rhinitis, Allergic/therapy* ; Treatment Outcome ; East Asian People

Objective To construct a model for predicting ki-67 expression in hepatocellular carcinoma using the intratumoral and peritumoral radiomic features of contrast enhanced magnetic resonance imaging(CEMRI)in the arterial phase as well as clinical imaging features.Methods A total of 120 patients pathologically diagnosed with hepatocellular carcinoma(HCC)from January 2016 to December 2024 in No.910 Hospital of the Joint Logis-tics Support Force of the Chinese People's Liberation Army were retrospectively enrolled and randomly divided into a training set(84 cases)and a test set(36 cases)in a ratio of 7∶3.ITK-SNAP software was used to delineate the global region of interest(ROI)of HCC on the arterial phase MR images.The ROIs of all patients were automatically expanded outward by 2 mm,and then the intratumoral ROI areas were eliminated to obtain the peritumoral ROI.With the help of PyRadiomics software,1 198 intratumoral and peritumoral radiomic features were extracted.Spearman correlation analysis,maximum relevance-minimum redundancy(mRMR),and least absolute shrinkage and selection operator(LASSO)regression were used to reduce the data dimension and select the best features.Then,a radiomics model of the logistic regression(LR)machine learning algorithm was constructed.A combined model including clinical imaging features and radiomics features was established.The area under the curve(AUC),accuracy,sensitivity,specificity,positive predictive value(PPV),negative predictive value(NPV),calibration curve and decision curve analysis(DCA)were used to evaluate the efficacy of the intratumoral and peritumoral radiomics features combined with clinical imaging features model in predicting ki-67 expression in hepatocellular car-cinoma.Results The intratumor model exhibited an efficacy in predicting the expression of ki-67 in hepatocellular carcinoma with AUC values of 0.817 and 0.787 in the training set and test set,respectively.The peritumoral model showed an efficacy with AUC values of 0.805 and 0.633 in the training set and test set,respectively.The intratumoral and peritumoral model demonstrated AUC values of 0.874 and 0.836 in the training set and test set,respectively.The combined model constructed by integrating the intratumoral and peritumoral model with clinical imaging features yielded AUC values of 0.877 and 0.849 in the training set and test set,respectively,indicating clinical imaging features improved the performance of the model.DCA showed that the combined models all had good clinical benefits,with the intratumoral and peritumoral model performing the best.Conclusion The intratumoral and peritumoral radiomics model based on CEMRI arterial phase combined with clinical imaging data can accurately predict the expression of ki-67 in hepatocellular carcinoma.This combined model yields the best clinical benefit.

Objective To construct a model for predicting ki-67 expression in hepatocellular carcinoma using the intratumoral and peritumoral radiomic features of contrast enhanced magnetic resonance imaging(CEMRI)in the arterial phase as well as clinical imaging features.Methods A total of 120 patients pathologically diagnosed with hepatocellular carcinoma(HCC)from January 2016 to December 2024 in No.910 Hospital of the Joint Logis-tics Support Force of the Chinese People's Liberation Army were retrospectively enrolled and randomly divided into a training set(84 cases)and a test set(36 cases)in a ratio of 7∶3.ITK-SNAP software was used to delineate the global region of interest(ROI)of HCC on the arterial phase MR images.The ROIs of all patients were automatically expanded outward by 2 mm,and then the intratumoral ROI areas were eliminated to obtain the peritumoral ROI.With the help of PyRadiomics software,1 198 intratumoral and peritumoral radiomic features were extracted.Spearman correlation analysis,maximum relevance-minimum redundancy(mRMR),and least absolute shrinkage and selection operator(LASSO)regression were used to reduce the data dimension and select the best features.Then,a radiomics model of the logistic regression(LR)machine learning algorithm was constructed.A combined model including clinical imaging features and radiomics features was established.The area under the curve(AUC),accuracy,sensitivity,specificity,positive predictive value(PPV),negative predictive value(NPV),calibration curve and decision curve analysis(DCA)were used to evaluate the efficacy of the intratumoral and peritumoral radiomics features combined with clinical imaging features model in predicting ki-67 expression in hepatocellular car-cinoma.Results The intratumor model exhibited an efficacy in predicting the expression of ki-67 in hepatocellular carcinoma with AUC values of 0.817 and 0.787 in the training set and test set,respectively.The peritumoral model showed an efficacy with AUC values of 0.805 and 0.633 in the training set and test set,respectively.The intratumoral and peritumoral model demonstrated AUC values of 0.874 and 0.836 in the training set and test set,respectively.The combined model constructed by integrating the intratumoral and peritumoral model with clinical imaging features yielded AUC values of 0.877 and 0.849 in the training set and test set,respectively,indicating clinical imaging features improved the performance of the model.DCA showed that the combined models all had good clinical benefits,with the intratumoral and peritumoral model performing the best.Conclusion The intratumoral and peritumoral radiomics model based on CEMRI arterial phase combined with clinical imaging data can accurately predict the expression of ki-67 in hepatocellular carcinoma.This combined model yields the best clinical benefit.

Abstract In order to promote the high quality development of school meals, the article systematically analyzes the Policy Report on Promoting Healthy Meals in Schools issued by World Health Organization (WHO), introduces ways of changing the physical environment of meals and adjusting the provision of dietary information, clarifies the five steps of basic research-goals setting-action plans-implementation-impact evaluation, and points out that the development of school meals in China is facing the realistic difficulties such as unreasonable school nutrition structure, unbalanced nutrition supply, low nutritional awareness of students and serious double malnutrition burden. The paper puts forward the enlightenment of reasonable use of nudge to help students develop scientific eating habits, strengthen school health education, and reduce students double burden of malnutrition.