With the continuous deepening of the concept of precision diagnosis and treatment for lung cancer, how to achieve higher efficiency and accuracy in the screening, diagnosis, and treatment pathways in clinical practice has become an important issue that urgently needs to be overcome. The current clinical difficulty lies in the fact that despite continuous advancements in imaging and molecular diagnostic technologies, there are still limitations in manual efficiency and subjective experience when it comes to massive data analysis and multi-scale feature extraction. Artificial intelligence (AI), especially algorithm systems based on deep learning, is an innovative technology capable of deeply empowering medical big data. This method utilizes algorithms such as convolutional neural networks, combined with radiomics, pathomics, and multi-modal data fusion analysis, demonstrating immense potential in early precise detection and benign-malignant differentiation of pulmonary nodules, digital pathological subtype recognition and non-invasive prediction of driver genes, precise 3D surgical planning and automatic delineation of radiotherapy target volumes, as well as dynamic risk warning during follow-up. This innovative technology provides a brand-new solution for realizing intelligent and individualized lung cancer diagnosis and treatment models. This consensus, based on the latest evidence from evidence-based medicine and combined with the development trends in the AI field and real-world clinical needs, was ultimately formed by gathering the consensus opinions of multidisciplinary experts in radiology, pathology, thoracic surgery, and other fields. The main content covers the application specifications of AI in the three core scenarios of lung cancer screening, diagnosis, and treatment, the technical standards for data collection and algorithm validation, as well as the ethical and regulatory challenges faced at the current stage. It aims to clarify the applicable boundaries of AI as a clinical auxiliary decision support tool, providing scientific guidance and standardized exploration directions for peers currently engaged in or planning to carry out AI-assisted clinical diagnosis, treatment, and translation of lung cancer.

ObjectiveAge-related macular degeneration （AMD） is one of the leading causes of low vision and blindness in people over 50 years old， and dry AMD （dAMD） is one type for which there is currently no clear treatment. On the basis of the diagnosis and clinical characteristics of dAMD in traditional Chinese and Western medicine， this paper evaluated the fitting degrees of existing animal models of dAMD with clinical characteristics according to the evaluation methods of animal models， and put forward suggestions and prospects. MethodsLiterature on animal models of dAMD was searched against database， and the characteristics of the models were assigned according to the diagnosis criteria of diseases and syndromes of traditional Chinese and Western medicine， and the fitting degrees of the models with clinical characteristics were analyzed and evaluated. ResultsAt present， the animal models of dAMD are mainly established targeting complement factors， chemokines， oxidative damage， lipid/glucose metabolism， and natural strains. Most of the models can simulate the major pathological changes of dAMD， showing the fitting degree of 25%-50% with clinical characteristics in Western medicine. However， the evaluation of traditional Chinese medicine （TCM） syndromes， especially the evaluation of secondary syndromes， is missing， and the models present low fitting degrees with the clinical characteristics in TCM. ConclusionExisting animal models of dAMD are mostly established under the guidance of Western diagnostic standards， which reproduce the main disease characteristics of Western medicine and lack observation of TCM syndromes. Future studies can pay attention to the intervention factors and evaluation systems of spleen deficiency Qi deficiency and liver-kidney Yin deficiency syndrome and build the animal model of dAMD with integration of disease and syndrome based on clinical characteristics of traditional Chinese and Western medicine.

ObjectiveAge-related macular degeneration （AMD） is one of the leading causes of low vision and blindness in people over 50 years old， and dry AMD （dAMD） is one type for which there is currently no clear treatment. On the basis of the diagnosis and clinical characteristics of dAMD in traditional Chinese and Western medicine， this paper evaluated the fitting degrees of existing animal models of dAMD with clinical characteristics according to the evaluation methods of animal models， and put forward suggestions and prospects. MethodsLiterature on animal models of dAMD was searched against database， and the characteristics of the models were assigned according to the diagnosis criteria of diseases and syndromes of traditional Chinese and Western medicine， and the fitting degrees of the models with clinical characteristics were analyzed and evaluated. ResultsAt present， the animal models of dAMD are mainly established targeting complement factors， chemokines， oxidative damage， lipid/glucose metabolism， and natural strains. Most of the models can simulate the major pathological changes of dAMD， showing the fitting degree of 25%-50% with clinical characteristics in Western medicine. However， the evaluation of traditional Chinese medicine （TCM） syndromes， especially the evaluation of secondary syndromes， is missing， and the models present low fitting degrees with the clinical characteristics in TCM. ConclusionExisting animal models of dAMD are mostly established under the guidance of Western diagnostic standards， which reproduce the main disease characteristics of Western medicine and lack observation of TCM syndromes. Future studies can pay attention to the intervention factors and evaluation systems of spleen deficiency Qi deficiency and liver-kidney Yin deficiency syndrome and build the animal model of dAMD with integration of disease and syndrome based on clinical characteristics of traditional Chinese and Western medicine.

ObjectiveTo establish a new noninvasive， simple， and convenient clinical predictive model by identifying independent predictive factors for rebleeding after endoscopic therapy in cirrhotic patients with esophagogastric variceal bleeding （EGVB）， and to provide a basis for individualized risk assessment and development of clinical intervention strategies. MethodsCirrhotic patients with EGVB who were diagnosed and treated in The First Affiliated Hospital of Xi’an Medical University from September 2018 to October 2023 were enrolled as subjects， and according to whether the patient experienced rebleeding within 1 year after endoscopic therapy， they were divided into rebleeding group with 93 patients and non-rebleeding group with 84 patients. Clinical data were collected and analyzed. The independent samples t-test was used for comparison of normally distributed continuous data between two groups， and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups； the chi-square test was used for comparison of categorical data between two groups. A Logistic model was established based on the results of the univariate and multivariate analyses， and the receiver operating characteristic （ROC） curve and the area under the ROC curve （AUC） were used to assess the accuracy of the model. R software was used to visualize the model by plotting a nomogram， and the Bootstrap method was used for internal validation of the model. ResultsThe multivariate analysis showed that red blood cell count （RBC）， cholinesterase （ChE）， alkaline phosphatase （ALP）， albumin （Alb）， thrombin time （TT）， portal vein trunk diameter， sequential therapy， and primary prevention were independent predictive factors for rebleeding. Based on the results of the multivariate analysis， a logistic model was established as logit（P）=-0.805-1.978×（RBC）+0.001×（ChE）-0.020×（ALP）-0.314×（Alb）+0.567×（TT）+0.428×（portal vein trunk diameter）-2.303×［sequential therapy （yes=1， no=0）］-2.368×［primary prevention （yes=1， no=0）］. The logistic model （AUC=0.928， 95% confidence interval ［CI］： 0.893—0.964， P<0.001） had a better performance in predicting rebleeding than MELD score （AUC=0.603， 95%CI： 0.520—0.687， P=0.003）， Child-Pugh class （AUC=0.650， 95%CI： 0.578—0.722， P=0.001）， and FIB-4 index （AUC=0.587， 95%CI： 0.503—0.671， P=0.045）. The model had an optimal cut-off value of 0.607， a sensitivity of 0.817， and a specificity of 0.817. Internal validation confirmed that the model had good predictive performance and accuracy. ConclusionSequential therapy， implementation of primary prevention， an increase in RBC， and an increase in Alb are protective factors against rebleeding， while prolonged TT and widened main portal vein diameter are risk factors. The logistic model based on these independent predictive factors can predict rebleeding and thus holds promise for clinical application.

Objective To analyze the epidemiological characteristics of norovirus outbreaks in Haidian District, Beijing, and to provide a reference for epidemic prevention and control. Methods Descriptive epidemiological methods were used to organize and statistically analyze the norovirus outbreak data reported from 2016 to 2022. Results A total of 26 outbreaks of norovirus were reported in Haidian District, with a total of 1595 cases and an attack rate M (Q_R) of 8.23 (16.33)%. There were 24 cases of norovirus type GII (92.31%), 1 case of type GI (3.85%), and 1 case of mixed infection of virus type GI/GII (3.85%). The highest number of reported outbreaks occurred in March and April, with 17 cases, accounting for 65.38%. The highest number of reported cases was in November and December, with 785 cases, accounting for 44.92%. The case age M (Q_R) was 18 (14) years old. The detection rate of positive samples in different age groups had statistical significance（χ²=12.021, P=0.007). The 26 outbreaks were mainly distributed in collective units such as schools, preschool institutions, and enterprises and institutions. There were a total of 11 outbreaks related to foodborne transmission, with 923 cases, accounting for 57.87%. Diarrhea was positively correlated with the age of the cases (r_s=0.572, P<0.001), while vomiting was negatively correlated with the age of the cases (r_s=-0187, P<0.001). The time interval between the onset of acute gastroenteritis symptoms in the first case and the reporting of the epidemic was positively correlated with the duration of the epidemic (r_s=0.586, P=0.002). Conclusion It is necessary to strengthen the prevention and control of norovirus in schools (primary and secondary schools and colleges), strictly implement health monitoring and regular screening for kitchen workers, carry out publicity and education, detect cases as early as possible, report the epidemic in a timely manner, and effectively reduce the scale of the epidemic and prevent its spread.

ObjectiveTo explore the protective effect of Shengxiantang on cardiac function and myocardial microvascular injury in rats with chronic heart failure （CHF）. MethodsThe CHF rat model was prepared by aortic arch constriction （TAC）. Of the 72 SD rats， 8 were randomly selected as the sham operation group， where the chest was opened without ligating the aortic arch. The 40 successfully modeled rats were randomly divided into the model group， the Shengxiantang low-， medium-， and high-dose groups （5.1， 10.2， 20.4 g·kg^-1）， and the trimetazidine group （6.3 mg·kg^-1）， with 8 rats in each group. Drug administration began 4 weeks after modeling. The administration groups received the corresponding drugs by gavage， while the sham operation and model groups were given the same amount of distilled water for 8 consecutive weeks. Echocardiography was used to assess cardiac function. Enzyme-linked immunosorbent assay （ELISA） was used to detect the levels of nitric oxide （NO）， endothelin （ET-1）， vascular endothelial growth factor （VEGF）， and von Willebrand factor （vWF）. Ultrastructural changes of microvessels were observed by transmission electron microscopy. Immunohistochemistry was used to detect the expression levels of ATP synthase subunit （ATP5D） and F-actin in myocardial tissue. Western blot was used to detect the expression levels of occludin， claudin， vascular endothelial cadherin （VE-Cadherin）， and zonula occludens-1 （ZO-1）. Microvessel density was measured by immunofluorescence staining. ResultsCompared with the sham operation group， the ejection fraction （EF） and left ventricular shortening fraction （FS） in the model group were significantly decreased （P<0.01）， while the left ventricular diastolic diameter （LVIDd）， left ventricular systolic diameter （LVIDs）， left ventricular end-diastolic posterior wall thickness （LVPWd）， left ventricular end-systolic posterior wall thickness （LVPWs）， left ventricular end-diastolic volume （LVVOLd）， and left ventricular end-systolic volume （LVVOLs） were significantly increased （P<0.01）. The levels of NO and VEGF were significantly decreased （P<0.01）， while the levels of ET-1 and vWF were significantly increased （P<0.01）. Under electron microscopy， the microvascular basement membrane was incomplete and the tight junctions were blurred. The expression levels of ATP5D， F-actin， occludin， claudin， ZO-1， and VE-Cadherin were significantly decreased （P<0.05， P<0.01）， and the relative density of microvessels was significantly reduced （P<0.05， P<0.01）. After intervention with Shengxiantang， the EF and FS of CHF rats significantly increased （P<0.01）， while the LVIDd， LVIDs， LVPWd， LVPWs， LVVOLd， and LVVOLs significantly decreased （P<0.01）. The levels of NO and VEGF significantly increased （P<0.01）， while the levels of ET-1 and vWF significantly decreased （P<0.01）. Under electron microscopy， the microvascular basement membrane was relatively complete and the tight junctions were more continuous. The expression levels of ATP5D， F-actin， occludin， claudin， ZO-1， and VE-Cadherin significantly increased （P<0.05， P<0.01）， and the relative density of microvessels significantly increased （P<0.01）. ConclusionShengxiantang can effectively improve the cardiac function of CHF rats， reduce microvascular endothelial injury， strengthen the connection between endothelial cells， and increase microvessel density， thereby protecting myocardial microvascular injury.

ObjectiveTo explore the protective effect of Shengxiantang on cardiac function and myocardial microvascular injury in rats with chronic heart failure （CHF）. MethodsThe CHF rat model was prepared by aortic arch constriction （TAC）. Of the 72 SD rats， 8 were randomly selected as the sham operation group， where the chest was opened without ligating the aortic arch. The 40 successfully modeled rats were randomly divided into the model group， the Shengxiantang low-， medium-， and high-dose groups （5.1， 10.2， 20.4 g·kg^-1）， and the trimetazidine group （6.3 mg·kg^-1）， with 8 rats in each group. Drug administration began 4 weeks after modeling. The administration groups received the corresponding drugs by gavage， while the sham operation and model groups were given the same amount of distilled water for 8 consecutive weeks. Echocardiography was used to assess cardiac function. Enzyme-linked immunosorbent assay （ELISA） was used to detect the levels of nitric oxide （NO）， endothelin （ET-1）， vascular endothelial growth factor （VEGF）， and von Willebrand factor （vWF）. Ultrastructural changes of microvessels were observed by transmission electron microscopy. Immunohistochemistry was used to detect the expression levels of ATP synthase subunit （ATP5D） and F-actin in myocardial tissue. Western blot was used to detect the expression levels of occludin， claudin， vascular endothelial cadherin （VE-Cadherin）， and zonula occludens-1 （ZO-1）. Microvessel density was measured by immunofluorescence staining. ResultsCompared with the sham operation group， the ejection fraction （EF） and left ventricular shortening fraction （FS） in the model group were significantly decreased （P<0.01）， while the left ventricular diastolic diameter （LVIDd）， left ventricular systolic diameter （LVIDs）， left ventricular end-diastolic posterior wall thickness （LVPWd）， left ventricular end-systolic posterior wall thickness （LVPWs）， left ventricular end-diastolic volume （LVVOLd）， and left ventricular end-systolic volume （LVVOLs） were significantly increased （P<0.01）. The levels of NO and VEGF were significantly decreased （P<0.01）， while the levels of ET-1 and vWF were significantly increased （P<0.01）. Under electron microscopy， the microvascular basement membrane was incomplete and the tight junctions were blurred. The expression levels of ATP5D， F-actin， occludin， claudin， ZO-1， and VE-Cadherin were significantly decreased （P<0.05， P<0.01）， and the relative density of microvessels was significantly reduced （P<0.05， P<0.01）. After intervention with Shengxiantang， the EF and FS of CHF rats significantly increased （P<0.01）， while the LVIDd， LVIDs， LVPWd， LVPWs， LVVOLd， and LVVOLs significantly decreased （P<0.01）. The levels of NO and VEGF significantly increased （P<0.01）， while the levels of ET-1 and vWF significantly decreased （P<0.01）. Under electron microscopy， the microvascular basement membrane was relatively complete and the tight junctions were more continuous. The expression levels of ATP5D， F-actin， occludin， claudin， ZO-1， and VE-Cadherin significantly increased （P<0.05， P<0.01）， and the relative density of microvessels significantly increased （P<0.01）. ConclusionShengxiantang can effectively improve the cardiac function of CHF rats， reduce microvascular endothelial injury， strengthen the connection between endothelial cells， and increase microvessel density， thereby protecting myocardial microvascular injury.

Objective To propose a lung artery segmentation method that integrates shape and position prior knowledge, aiming to solve the issues of inaccurate segmentation caused by the high similarity and small size differences between the lung arteries and surrounding tissues in CT images. Methods Based on the three-dimensional U-Net network architecture and relying on the PARSE 2022 database image data, shape and position prior knowledge was introduced to design feature extraction and fusion strategies to enhance the ability of lung artery segmentation. The data of the patients were divided into three groups: a training set, a validation set, and a test set. The performance metrics for evaluating the model included Dice Similarity Coefficient (DSC), sensitivity, accuracy, and Hausdorff distance (HD95). Results The study included lung artery imaging data from 203 patients, including 100 patients in the training set, 30 patients in the validation set, and 73 patients in the test set. Through the backbone network, a rough segmentation of the lung arteries was performed to obtain a complete vascular structure; the branch network integrating shape and position information was used to extract features of small pulmonary arteries, reducing interference from the pulmonary artery trunk and left and right pulmonary arteries. Experimental results showed that the segmentation model based on shape and position prior knowledge had a higher DSC (82.81%±3.20% vs. 80.47%±3.17% vs. 80.36%±3.43%), sensitivity (85.30%±8.04% vs. 80.95%±6.89% vs. 82.82%±7.29%), and accuracy (81.63%±7.53% vs. 81.19%±8.35% vs. 79.36%±8.98%) compared to traditional three-dimensional U-Net and V-Net methods. HD95 could reach (9.52±4.29) mm, which was 6.05 mm shorter than traditional methods, showing excellent performance in segmentation boundaries. Conclusion The lung artery segmentation method based on shape and position prior knowledge can achieve precise segmentation of lung artery vessels and has potential application value in tasks such as bronchoscopy or percutaneous puncture surgery navigation.

Objective:To evaluate the safety and effectiveness of fuzuloparib for the treatment of ovarian epithelial cancer patients in the real world setting.Methods:A retrospective analysis was conducted on the baseline data of 4 620 ovarian cancer patients who had received fuzuloparib monotherapy or combination therapy. Another 224 ovarian cancer patients who were willing to receive fuzuloparib monotherapy or combination therapy were prospectively enrolled, and their baseline characteristics, drug effectiveness, and safety data were analyzed.Results:(1) Among the 4 620 patients in the retrospective cohort, the median age of patients was 60 years; tumor types: 89.8% (4 149/4 620) had ovarian cancer. Among patients with clearly documented information, the vast majority had a histological type of serous carcinoma (82.9%, 3 770/4 546) and International Federation of Gynecology and Obstetrics (FIGO) staging of Ⅲ-Ⅳ (90.9%, 1 537/1 691). (2) Among the 224 patients in the prospective cohort, the median age of patients was 57 years; tumor types: 83.9% (188/224) had ovarian cancer. Among patients with clearly documented records, the predominant pathologic type was serous carcinoma (91.9%, 193/210), and FIGO stage was Ⅲ-Ⅳ in 79.9% (139/174). (3) Among the 224 prospective patients: 84 patients received first-line fluzoparib maintenance therapy, 92 patients received fluzoparib maintenance therapy after platinum-sensitive recurrence, 23 patients received direct fluzoparib treatment after platinum-sensitive recurrence, 19 patients received direct fluzoparib treatment after platinum-resistant recurrence. The median follow-up durations were 8.5, 8.7, 7.9, and 6.7 months, respectively. The median durations of fluzoparib treatment were 6.7, 4.8, 3.1, and 1.9 months, respectively. The median progression-free survival (PFS) times were not reached during follow-up, 12.6 months, not reached during follow-up, and 4.8 months, respectively. The 1-year PFS rates were 84.1%, 55.0%, 69.8%, and 45.5%, respectively. The remaining 6 patients received other fluzoparib regimens. (4) Among the 224 patients in the prospective dataset, 205 had safety data recorded. Of these, 127 patients (62.0%, 127/205) experienced treatment-related adverse events, with common events including anemia (24.4%, 50/205), thrombocytopenia (21.0%, 43/205), and leukopenia (19.5%, 40/205). Among the 205 patients, 43 (21.0%, 43/205) experienced grade 3 or higher treatment-related adverse events, with common events including anemia (8.3%, 17/205) and thrombocytopenia (8.3%, 17/205).Conclusions:The effectiveness of fuzuloparib in clinical application is generally consistent with other drugs in the same class, with good safety. This study provids new clinical evidence for the treatment of ovarian cancer with fuzuloparib.

Objective:To analyze the cost-effectiveness of high-flux hemodialysis compared to low-flux hemodialysis in the treat-ment of End-Stage Renal Disease(ESRD)patients.Methods:Based on a literature review,a cost-effectiveness analysis model was established,using the Incremental Cost-Effectiveness Ratio(ICER)as the outcome indicator to evaluate the economic value of high-flux versus low-flux hemodialysis.One-way sensitivity analysis and probabilistic sensitivity analysis were conducted to further assess the robustness of the results.Results:In the treatment of ESRD patients,compared to low-flux hemodialysis,the ICER of high-flux hemodialysis was 234 882 yuan per QALY.The key factors influencing the model results were the cost discount rate,ef-fect discount rate,utility value of high-flux hemodialysis,and treatment costs.Conclusion:Compared to low-flux hemodialysis,high-flux hemodialysis demonstrates a cost-effectiveness advantage at a willingness-to-pay threshold of three times GDP per capita.