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.

ObjectiveTo explore the changes in color， odor and chemical components during wine-processing of Chuanxiong Rhizoma（CR）， identify differential markers， and provide a basis for standardizing the process and establishing quality standards. MethodsFifteen batches of CR samples from 4 producing areas were collected. Colorimeter and electronic nose were used to detect the color changes and odor components of CR before and after wine-processing. Multivariate statistical methods including partial least squares-discriminant analysis（PLS-DA）， principal component analysis（PCA）， discriminant factor analysis（DFA） and Fisher discriminant analysis were applied to identify wine-processed CR at different processing stages and establish discriminant models， and differential components were screened out based on variable importance in the projection（VIP） value1. Then， high performance liquid chromatography（HPLC） was employed to detect the content changes of four components（ferulic acid， senkyunolide I， senkyunolide A and ligustilide） during the processing stages. ResultsThe differences of wine-processed CR at various stages were primarily reflected in color parameters L^*（brightness value）， a^*（red-green value） and b^*（yellow-blue value）. Based on chromaticity differences， the color reference ranges were established for moderately processed CR， including L^* of 46.75-48.24， a^* of 5.37-6.07 and b^* of 20.32-21.70. In odor analysis， DFA revealed significant differences among processing stages， and 11 odor markers were identified， with four differential markers（4-hydroxy-3-butylphthalide， isopropyl butyrate， L-limonene and 1-methoxyhexane） based on VIP values. HPLC results showed that there was no significant difference of the four components except for ligustilide in wine-processed CR at different stages. ConclusionThis study achieved rapid identification of wine-processed CR with different processing degrees by electronic sensory technology and differential component content detection， with discrimination accuracy rates of 92.4% and 93.272% for color and odor， respectively. This paper also established the reference ranges of main colorimetric parameters for wine-processed CR at different stages， and four differential components were screened out， providing a basis for standardizing the processing of wine-processed CR and establishing quality standards for this decoction pieces.

ObjectiveTo explore the changes in color， odor and chemical components during wine-processing of Chuanxiong Rhizoma（CR）， identify differential markers， and provide a basis for standardizing the process and establishing quality standards. MethodsFifteen batches of CR samples from 4 producing areas were collected. Colorimeter and electronic nose were used to detect the color changes and odor components of CR before and after wine-processing. Multivariate statistical methods including partial least squares-discriminant analysis（PLS-DA）， principal component analysis（PCA）， discriminant factor analysis（DFA） and Fisher discriminant analysis were applied to identify wine-processed CR at different processing stages and establish discriminant models， and differential components were screened out based on variable importance in the projection（VIP） value1. Then， high performance liquid chromatography（HPLC） was employed to detect the content changes of four components（ferulic acid， senkyunolide I， senkyunolide A and ligustilide） during the processing stages. ResultsThe differences of wine-processed CR at various stages were primarily reflected in color parameters L^*（brightness value）， a^*（red-green value） and b^*（yellow-blue value）. Based on chromaticity differences， the color reference ranges were established for moderately processed CR， including L^* of 46.75-48.24， a^* of 5.37-6.07 and b^* of 20.32-21.70. In odor analysis， DFA revealed significant differences among processing stages， and 11 odor markers were identified， with four differential markers（4-hydroxy-3-butylphthalide， isopropyl butyrate， L-limonene and 1-methoxyhexane） based on VIP values. HPLC results showed that there was no significant difference of the four components except for ligustilide in wine-processed CR at different stages. ConclusionThis study achieved rapid identification of wine-processed CR with different processing degrees by electronic sensory technology and differential component content detection， with discrimination accuracy rates of 92.4% and 93.272% for color and odor， respectively. This paper also established the reference ranges of main colorimetric parameters for wine-processed CR at different stages， and four differential components were screened out， providing a basis for standardizing the processing of wine-processed CR and establishing quality standards for this decoction pieces.

ObjectiveTo investigate the effect of Gelian Tiaotang pills on renal fibrosis in db/db mice based on the nucleotide-binding domain leucine-rich repeat and pyrin domain-containing receptor 3 （NLRP3）/cysteinyl aspartate-specific proteinase （Caspase）-1/gasdermin D （GSDMD） signaling pathway. MethodsForty db/db mice were randomly assigned into model， positive control （0.001 3 g·kg·d^-1 dapagliflozin suspension）， and high-， medium-， and low-dose Gelian Tiaotang pills （3.12， 1.56， and 0.78 g·kg·d^-1 suspension of Gelian Tiaotang pills， respectively） groups， with 8 mice in each group. Eight db/m mice were selected as the normal group. The normal group and model group were given equal volumes of pure water， while the drug interventions groups were administrated with corresponding agents by gavage once a day for 12 consecutive weeks. The general conditions of mice were observed daily. The fasting blood glucose （FBG） and body mass were measured every 4 weeks. Kidneys were weighed after sampling， and the kidney index was calculated. An automatic biochemical analyzer was used to measure the serum levels of triglyceride （TG）， total cholesterol （TC）， serum creatinine （SCr）， and blood urea nitrogen （BUN）. The pathological changes， extracellular matrix deposition， and renal fibrosis degree were examined by hematoxylin-eosin， periodic acid-schiff （PAS）， and Masson staining， respectively. Enzyme-linked immunosorbent assay was employed to measure the levels of interleukin （IL）-1β and IL-18 in the renal tissue. Immunohistochemistry （IHC） was used to detect the localization and expression of fibronectin and collagen Ⅰ in the renal tissue. Western blot was employed to determine the protein levels of NLRP3， Caspase-1， cleaved Caspase-1， GSDMD， and GSDMD-N in the renal tissue. ResultsCompared with the normal group， the model group generally had poor general states and increases in the body mass， kidney weight， kidney index， and levels of FBG， TG， TC， SCr， and BUN （P<0.01）. In addition， glomerular pyknosis， increased matrix， vacuolar degeneration of renal tubular epithelial cells， and interstitial infiltration of inflammatory cells were observed in the model group （P<0.01）， together with rises in the levels of IL-1β and IL-18 in the renal tissue （P<0.01） and up-regulated protein levels of NLRP3， Caspase-1， cleaved Caspase-1， GSDMD， GSDMD-N， fibronectin， and collagen Ⅰ in the renal tissue （P<0.01）. Compared with the model group， 12 weeks of drug interventions reduced the body mass， kidney weight， and kidney index and lowered the levels of FBG， TG， TC， SCr， and BUN in the serum and IL-1β and IL-18 in the renal tissue （P<0.05， P<0.01）. Furthermore， drug interventions ameliorated the renal lesions and down-regulated the protein levels of NLRP3， Caspase-1， cleaved Caspase-1， GSDMD， GSDMD-N， fibronectin， and collagen Ⅰ in the renal tissue （P<0.05， P<0.01）. The high-dose group of Gelian Tiaotang pills had the best effects. ConclusionGelian Tiaotang pills may inhibit pyroptosis and reduce inflammatory responses by regulating the NLRP3/Caspase-1/GSDMD signaling pathway， thus delaying the process of renal fibrosis in diabetes.

Objective: To assess the nutritional supply status of school meals for primary and secondary school students in Henan Province, so as to provide a basis for scientific guidance of school meals. Methods: During 2021-2023, 115 lunch and dinner samples were collected from 25 primary and secondary schools in Zhoukou, Anyang and Luoyang of Henan Province by a direct selection method, and 13 nutrients were determined for each sample. The nutrient supply was evaluated based on Nutrition Guidelines of School Meals and Reference Intake of Dietary Nutrients for Chinese Residents (2023 Edition). Mann-Whitney U test was used to compare the differences of nutritional supply between urban and rural schools. Results: The median values for energy (709.77 kcal,1 kcal=4.18 kJ), fat energy supply ratio (0.27) and carbohydrate energy supply ratio (0.55) in the 66 lunches and dinners from primary school were within the recommended range. The supply of protein (28.39 g) and sodium (1 464.59 mg) was excessive. The median values of zinc (2.62 mg) and dietary fiber (5.19 g) were lower than the reference values. No statistically significant differences were observed in the supply of 13 nutrients between urban and rural primary schools( U = 427.00 -633.00, P > 0.05 ). Among 49 samples from secondary schools, the median value of energy supply (930.02 kcal), carbohydrate energy ratio ( 0.54 ) and fat energy supply ratio(0.25) were within the recommended range; and the median values of protein (38.82 g) and sodium (2 556.80 mg) were higher than the standard; and the median values of calcium (250.32 mg) and vitamin B1 (0.16 mg) were lower than the standard. Additionally, the differences in the level of vitamin B2 ( U =372.00) and zinc ( U =375.00) between the urban and rural secondary schools were statistically significant ( P <0.05). Conclusion Nutrient supply of primary and secondary school meals in three cities of Henan Province is inadequate and imbalanced, and the recipe need to be further optimized and improved.

With the widespread adoption of low-dose CT screening and the extensive application of high-resolution CT, the detection rate of sub-centimeter lung nodules has significantly increased. How to scientifically manage these nodules while avoiding overtreatment and diagnostic delays has become an important clinical issue. Among them, lung nodules with a consolidation tumor ratio less than 0.25, dominated by ground-glass shadows, are particularly worthy of attention. The therapeutic challenge for this group is how to achieve precise and complete resection of nodules during surgery while maximizing the preservation of the patient's lung function. The "watershed topography map" is a new technology based on big data and artificial intelligence algorithms. This method uses Dicom data from conventional dose CT scans, combined with microscopic (22-24 levels) capillary network anatomical watershed features, to generate high-precision simulated natural segmentation planes of lung sub-segments through specific textures and forms. This technology forms fluorescent watershed boundaries on the lung surface, which highly fit the actual lung anatomical structure. By analyzing the adjacent relationship between the nodule and the watershed boundary, real-time, visually accurate positioning of the nodule can be achieved. This innovative technology provides a new solution for the intraoperative positioning and resection of lung nodules. This consensus was led by four major domestic societies, jointly with expert teams in related fields, oriented to clinical practical needs, referring to domestic and foreign guidelines and consensus, and finally formed after multiple rounds of consultation, discussion, and voting. The main content covers the theoretical basis of the "watershed topography map" technology, indications, operation procedures, surgical planning details, and postoperative evaluation standards, aiming to provide scientific guidance and exploration directions for clinical peers who are currently or plan to carry out lung nodule resection using the fluorescent microscope watershed analysis method.

Objective The aim of this study was to investigate the key genes that regulate colorectal cancer(CRC)metasta-sis,evaluate the effects of exosomal miR-151A-3P derived from CRC on the proliferation and migration,and explore the possibility of exosomal miR-151A-3P as a prognostic biomarker for CRC patients.Methods High-throughput sequencing was performed to screen the differentially expressed miRNAs in serum exosomes of metastatic CRC patients.RT-qPCR was used to verify the expression of differentially expressed miRNAs in CRC specimens.After mimics overexpression or knockdown of miR-151A-3P,CCK-8 and EdU assays were used to detect cell proliferation,and Scratch wound healing and Transwell assays were used to detect cell migration and in-vasion capability.A BALB/c nude mouse model was used to evaluate the effect of exosomal miR-151A-3P on the metastatic ability of CRC cells.Results The sequencing results showed that compared with non-metastatic CRC patients,the expression of miR-151A-3P was significantly increased in serum exosomes of metastatic CRC patients(P<0.001).The results were validated by RT-qPCR and found that miR-151A-3P was highly expressed in both serum exosomes and tumor tissues of metastatic CRC patients(P<0.001).The overall survival of CRC patients with high expression of serum exosomal miR-151A-3P was shorter than that of CRC pa-tients with low expression(P=0.029).After silencing miR-151A-3P,the cell proliferation,migration,and invasion abilities of CRC cells were decreased(P<0.05),while overexpression of miR-151A-3P could promote the proliferation,migration and invasion of CRC cells(P<0.05).In the BALB/c nude mouse colorectal cancer model,the administration of exosomal miR-151A-3P led to an increase in the number of lung metastases in BALB/c nude mice(P<0.05).Conclusion CRC-derived exosomal miR-151A-3P promotes the proliferation and migration of CRC cells,and is associated with poor prognosis of CRC patients.

Objective The aim of this study was to investigate the key genes that regulate colorectal cancer(CRC)metasta-sis,evaluate the effects of exosomal miR-151A-3P derived from CRC on the proliferation and migration,and explore the possibility of exosomal miR-151A-3P as a prognostic biomarker for CRC patients.Methods High-throughput sequencing was performed to screen the differentially expressed miRNAs in serum exosomes of metastatic CRC patients.RT-qPCR was used to verify the expression of differentially expressed miRNAs in CRC specimens.After mimics overexpression or knockdown of miR-151A-3P,CCK-8 and EdU assays were used to detect cell proliferation,and Scratch wound healing and Transwell assays were used to detect cell migration and in-vasion capability.A BALB/c nude mouse model was used to evaluate the effect of exosomal miR-151A-3P on the metastatic ability of CRC cells.Results The sequencing results showed that compared with non-metastatic CRC patients,the expression of miR-151A-3P was significantly increased in serum exosomes of metastatic CRC patients(P<0.001).The results were validated by RT-qPCR and found that miR-151A-3P was highly expressed in both serum exosomes and tumor tissues of metastatic CRC patients(P<0.001).The overall survival of CRC patients with high expression of serum exosomal miR-151A-3P was shorter than that of CRC pa-tients with low expression(P=0.029).After silencing miR-151A-3P,the cell proliferation,migration,and invasion abilities of CRC cells were decreased(P<0.05),while overexpression of miR-151A-3P could promote the proliferation,migration and invasion of CRC cells(P<0.05).In the BALB/c nude mouse colorectal cancer model,the administration of exosomal miR-151A-3P led to an increase in the number of lung metastases in BALB/c nude mice(P<0.05).Conclusion CRC-derived exosomal miR-151A-3P promotes the proliferation and migration of CRC cells,and is associated with poor prognosis of CRC patients.

Objective:To explore the effects of miR-125b on the proliferation, invasion and migration of pancreatic cancer cells by targeting SMYD2 signaling pathway.Methods:The expression of miRNA-125b in Aspc-1 and BxPC-3 lines of pancreatic cancer cells were detected. miRDB, ENCORI and TargetScan databases were used to predict the potential target genes of miRNA-125b. The downstream target genes of miRNA-125b were identified by qPCR assay and double luciferase reporter gene assay. Western blot analysis was performed to detect SMYD2 protein expression after transfection with miRNA-125b inhibitor. EdU staining, Annexin V-FITC/PI assay and Annexin V-FITC/PI assay were used to detect the effects of miRNA-125b inhibitor transfection and simultaneous transfection of miRNA-125b and SMYD2 inhibitor on cell proliferation, clonogenesis and apoptosis.Results:The expression level of miRNA-125b in pancreatic cancer cell lines was higher than that in normal pancreatic duct cells ( P<0.05). The downstream target gene of miRNA-125b was identified as SMYD2 by qPCR assay and double luciferase reporter gene assay. The expression of SMYD2 protein in miR-125b inhibitor group was higher than that in NC group ( P<0.01). EdU cell proliferation assay showed that the number of miRNA-125b positive cells in inhibitor group was lower than that in NC group and Inhibitor NC group ( P<0.05). The number of clones in miR-125b inhibitor+si-SMYD2 group was more than that in miR-125b inhibitor group ( P<0.01). Annexin V-FITC/PI assay showed that the apoptosis number of cell cells in miR-125b inhibitor+si-SMYD2 group was lower than that in miR-125b inhibitor group ( P<0.01) . Conclusion:miRNA-125b is highly expressed in pancreatic cancer cells, and can directly affect the expression of SMYD2 gene, thereby promoting the proliferation and inhibiting the apoptosis of pancreatic cancer cells.

Objective:To explore the relationship between college students' Type D personality and problematic social media usage, as well as the mediating and moderating roles of cognitive flexibility.Methods:From April to July 2024, totally 489 college students were investigated using the problematic social media use scale, cognitive flexibility scale and type D personality scale. SPSS 27.0 was used for descriptive analysis, correlation analysis, moderating effect analysis and common method bias test. AMOS 26.0 was used to analyze the mediating effect relationship.Results:(1) Type D personality (26.68±11.62) was positively correlated with problematic social media usage(18.11±3.54)( r=0.46, P<0.01). (2) Flexible control played a partial mediating role in the relationship between Type D personality and problematic social media usage (effect value=0.23, 95% CI=0.12-0.33). (3) Type D personality college students’ flexible control moderated the effect of Type D personality on independent problematic social media usage( β=-0.542, P<0.05). Conclusion:The increased cognitive flexibility helps mitigate college students' levels of problematic social media usage. For college students with low cognitive flexibility, type D personality scores had a more significant effect on problematic social media usage.