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.

Background As a traditional labor-intensive industry, the manufacturing sector is an important source of occupational exposure to hazards such as dust, toxic chemicals, and noise. Objective To analyze the current status and spatiotemporal patterns of occupational hazards including dust, toxic chemicals, and noise in manufacturing workplaces in Shanghai from 2020 to 2025, and to provided evidence for optimizing targeted prevention and control strategies. Methods Workplace monitoring data for manufacturing enterprises in Shanghai were obtained from the National Occupational Hazard Factor Monitoring System for Workplaces. Descriptive analyses were conducted to evaluate the exceedance rates of occupational hazard factors related to occupational exposure limits. GeoDa software was utilized to perform spatial autocorrelation analysis of hazard-specific exceedance rates to identify spatial clustering patterns. Results From 2020 to 2025, the number of monitored manufacturing enterprises in Shanghai increased from 374 to 504. The monitored enterprises were mainly small and micro enterprises located in suburban areas. Over the six-year period, the exceedance rate for dust-exposed work posts decreased from 21.05% to 10.03%, whereas the exceedance rate for chemical toxicant-exposed work posts remained below 3%. Noise showed the highest and most persistent exceedance rate remaining over 20% throughout the study period. Spatial autocorrelation analysis indicated that high-high clusters of dust hazards were consistently concentrated in suburban districts, including Qingpu, Jinshan, and Songjiang. The spatial pattern of chemical toxicant hazards changed over time, with high-low clusters later concentrated in Baoshan and Minhang. High-high clusters of noise hazards showed an expanding pattern, spreading from Qingpu and Songjiang to several other districts, including Jiading, Minhang, and Fengxian. Conclusion Occupational hazards in the manufacturing sector of Shanghai are mainly characterized by exceedances related to dust and noise, with noise emerging as the most persistent and spatially expanding monitored hazard. These hazards exhibit clear spatial heterogeneity: dust-related risks are concentrated in traditional industrial areas, chemical toxicant risks change dynamically with the spatial distribution of industries, and noise-related risks expand across multiple districts. Future occupational interventions should prioritize noise control and implement targeted prevention strategies based on spatial clustering characteristics.

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 To systematically evaluate the risk prediction models for anastomotic leakage (AL) in patients with esophageal cancer after surgery. Methods A computer-based search of PubMed, EMbase, Web of Science, Cochrane Library, Chinese Medical Journal Full-text Database, VIP, Wanfang, SinoMed and CNKI was conducted to collect studies on postoperative AL risk prediction model for esophageal cancer from their inception to October 1st, 2023. PROBAST tool was employed to evaluate the bias risk and applicability of the model, and Stata 15 software was utilized for meta-analysis. Results A total of 19 literatures were included covering 25 AL risk prediction models and 7373 patients. The area under the receiver operating characteristic curve (AUC) was 0.670-0.960. Among them, 23 prediction models had a good prediction performance (AUC>0.7); 13 models were tested for calibration of the model; 1 model was externally validated, and 10 models were internally validated. Meta-analysis showed that hypoproteinemia (OR=9.362), postoperative pulmonary complications (OR=7.427), poor incision healing (OR=5.330), anastomosis type (OR=2.965), preoperative history of thoracoabdominal surgery (OR=3.181), preoperative diabetes mellitus (OR=2.445), preoperative cardiovascular disease (OR=3.260), preoperative neoadjuvant therapy (OR=2.977), preoperative respiratory disease (OR=4.744), surgery method (OR=4.312), American Society of Anesthesiologists score (OR=2.424) were predictors for AL after esophageal cancer surgery. Conclusion At present, the prediction model of AL risk in patients with esophageal cancer after surgery is in the development stage, and the overall research quality needs to be improved.

ObjectiveTo investigate the ameliorative effect of paeonol on acute alcohol-induced hepatic inflammation in mice via the regulation of the short-chain fatty acids （SCFAs）-specific receptor GPR43/mitogen-activated protein kinase （MAPK） signaling pathway. MethodsC57BL/6 mice were randomly divided into five groups： blank control group， model group， low-dose paeonol group （120 mg·kg^-1）， high-dose paeonol group （480 mg·kg^-1）， and silybin group （36.8 mg·kg^-1）. A mouse model of alcohol-induced liver disease （ALD） was established by ad libitum administration of a Lieber-DeCarli alcohol liquid diet. Serum lipid levels， liver function， inflammatory cytokines， and oxidative stress markers were measured. Liver hematoxylin-eosin （HE） staining and Oil Red O staining were performed to validate successful modeling. Western blot analysis was used to assess the expression levels of zonula occludens-1 （ZO-1）， Claudin-1， and proteins related to the GPR43/MAPK signaling pathway in the colonic tissue. Immunohistochemistry was employed to detect the protein expression of GPR43， ZO-1， and Claudin-1 in the colon. Then 16S rDNA sequencing was performed to analyze differences in intestinal flora between the model group and the high-dose paeonol group. Additionally， fecal microbiota transplantation （FMT） experiments were conducted to validate the regulatory effect of paeonol on ALD via modulation of intestinal flora. ResultsCompared with the blank control group， the model group showed significantly elevated serum lipid levels， oxidative stress， and inflammatory cytokine expression （P<0.01）. Liver histology revealed increased inflammatory infiltration and lipid droplet accumulation. Colonic mucosal injury and impaired intestinal barrier function were observed. Levels of MAPK pathway-related proteins in the colonic tissue were upregulated （P<0.01）， while GPR43， ZO-1， and Claudin-1 protein expression levels were significantly decreased （P<0.01）. The composition and abundance of the intestinal flora were markedly altered， with a reduced Bacteroidetes-to-Firmicutes ratio and decreased relative abundances of Eubacterium， Parabacteroides， Erysipelothrix， and Adlercreutzia， alongside increased abundances of Clostridium butyricum， Enterococcus， and Helicobacter pylori in the model group. Compared with the model group， paeonol significantly reduced serum lipid levels， oxidative stress responses， and the expression of inflammatory cytokines in ALD mice （P<0.05， P<0.01）. It also attenuated hepatic lipid accumulation， restored intestinal barrier function， and repaired the structural integrity of liver and colonic tissues. The protein expression levels of ZO-1， Claudin-1， and GPR43 in the colonic tissue were significantly increased （P<0.05， P<0.01）， while those of MAPK pathway-related proteins were significantly decreased （P<0.05， P<0.01）. The intestinal flora dysbiosis was effectively alleviated， rendering its composition closer to that of normal mice. The efficacy of paeonol in modulating ALD was further confirmed by FMT experiments， supporting its mechanistic involvement in the SCFAs-GPR43/MAPK signaling pathway. ConclusionPaeonol exerts a protective effect against ALD in mice， which may be mediated through regulation of the SCFAs-GPR43/MAPK signaling pathway， thereby achieving anti-inflammatory effects and improving intestinal barrier function.

ObjectiveTo investigate the ameliorative effect of paeonol on acute alcohol-induced hepatic inflammation in mice via the regulation of the short-chain fatty acids （SCFAs）-specific receptor GPR43/mitogen-activated protein kinase （MAPK） signaling pathway. MethodsC57BL/6 mice were randomly divided into five groups： blank control group， model group， low-dose paeonol group （120 mg·kg^-1）， high-dose paeonol group （480 mg·kg^-1）， and silybin group （36.8 mg·kg^-1）. A mouse model of alcohol-induced liver disease （ALD） was established by ad libitum administration of a Lieber-DeCarli alcohol liquid diet. Serum lipid levels， liver function， inflammatory cytokines， and oxidative stress markers were measured. Liver hematoxylin-eosin （HE） staining and Oil Red O staining were performed to validate successful modeling. Western blot analysis was used to assess the expression levels of zonula occludens-1 （ZO-1）， Claudin-1， and proteins related to the GPR43/MAPK signaling pathway in the colonic tissue. Immunohistochemistry was employed to detect the protein expression of GPR43， ZO-1， and Claudin-1 in the colon. Then 16S rDNA sequencing was performed to analyze differences in intestinal flora between the model group and the high-dose paeonol group. Additionally， fecal microbiota transplantation （FMT） experiments were conducted to validate the regulatory effect of paeonol on ALD via modulation of intestinal flora. ResultsCompared with the blank control group， the model group showed significantly elevated serum lipid levels， oxidative stress， and inflammatory cytokine expression （P<0.01）. Liver histology revealed increased inflammatory infiltration and lipid droplet accumulation. Colonic mucosal injury and impaired intestinal barrier function were observed. Levels of MAPK pathway-related proteins in the colonic tissue were upregulated （P<0.01）， while GPR43， ZO-1， and Claudin-1 protein expression levels were significantly decreased （P<0.01）. The composition and abundance of the intestinal flora were markedly altered， with a reduced Bacteroidetes-to-Firmicutes ratio and decreased relative abundances of Eubacterium， Parabacteroides， Erysipelothrix， and Adlercreutzia， alongside increased abundances of Clostridium butyricum， Enterococcus， and Helicobacter pylori in the model group. Compared with the model group， paeonol significantly reduced serum lipid levels， oxidative stress responses， and the expression of inflammatory cytokines in ALD mice （P<0.05， P<0.01）. It also attenuated hepatic lipid accumulation， restored intestinal barrier function， and repaired the structural integrity of liver and colonic tissues. The protein expression levels of ZO-1， Claudin-1， and GPR43 in the colonic tissue were significantly increased （P<0.05， P<0.01）， while those of MAPK pathway-related proteins were significantly decreased （P<0.05， P<0.01）. The intestinal flora dysbiosis was effectively alleviated， rendering its composition closer to that of normal mice. The efficacy of paeonol in modulating ALD was further confirmed by FMT experiments， supporting its mechanistic involvement in the SCFAs-GPR43/MAPK signaling pathway. ConclusionPaeonol exerts a protective effect against ALD in mice， which may be mediated through regulation of the SCFAs-GPR43/MAPK signaling pathway， thereby achieving anti-inflammatory effects and improving intestinal barrier function.

Aim To explore the mechanism by which dioscin regulates IL-17+γδT cells in the treatment of arthritis.Methods A collagen-induced arthritis(CIA)model was established in DBA/1 mice using bovine type Ⅱ collagen.The mice were randomly divid-ed into the CIA model group,methotrexate(MTX)positive control group,and dioscin low-dose(Dioscin-L),medium-dose(Dioscin-M),and high-dose(Dios-cin-H)groups.After intervention,the therapeutic effects were evaluated using scoring methods.Joint pathological damage was analyzed by hematoxylin and eosin(HE)staining.The levels of anti-collagen-spe-cific antibodies and the pro-inflammatory cytokine IL-17 were measured by ELISA.The expressions of γδT cells and their subtypes,as well as the secretion level of IL-17,were detected by flow cytometry.Results Dioscin significantly reduced the arthritis severity score in collagen-induced arthritis(CIA)mice,alleviated joint pathological damage,inhibited the production of IL-17 by splenic lymphocytes and the levels of anti-col-lagen-specific antibodies total IgG and IgG3,and de-creased the proportion of γδT cells in the lymph nodes,splenic γδT cells,and the Vδ4+T-cell subset.The level of IL-17 produced by the Vδ4 subtype in the lymph nodes of the intervention groups was lower than that in the model group,but the difference was not sta-tistically significant.Conclusion Dioscin has signifi-cant therapeutic effect on CIA,and its mechanism may be through the inhibition of γδT cells,but it is unlikely to be related to IL-17 derived from γδT cells.

Objective:To systematically evaluate and integrate the exercise experience of overweight or obese pregnant women during pregnancy, in order to provide basis for the formulation of standardized exercise programs for this population.Methods:We searched databases including PubMed, Cochrane Library, Web of Science, CINAHL, Embase, Ovid, PsycINFO, Chinese Biomedical Literature Database, VIP, Wanfang and China National Knowledge Infrastructure, from their inception to August 16, 2023, to collect qualitative studies on the exercise experience of overweight or obese pregnant women during pregnancy. The quality of included studies was evaluated according to Joanna Briggs Institute Critical Appraisal Tool for qualitative studies in Australia. The results were integrated by integrating methods.Results:A total of 11 studies were included. Sixty-one complete findings were grouped according to similarities to form 9 new categories. These categories resulted in 3 synthesized findings. Pregnant women with overweight or obesity were affected by promoting and hindering factors; careful balance of exercise risk and benefit for overweight or obese pregnant women during pregnancy; expectations and needs of overweight or obese pregnant women for exercise during pregnancy.Conclusions:Overweight or obese pregnant women highly rated the benefits and importance of exercise, but their participation and adherence to exercise is challenging. Medical staff should pay attention to the exercise experience of overweight or obese pregnant women during pregnancy, understand the driving factors and obstacles of exercise for overweight or obese pregnant women, in order to provide standardized and personalized exercise guidance programs for overweight or obese pregnant women.

Objective:To compare the embryo development potential and clinical outcomes between the patients with and without oocyte degeneration.Methods:This retrospective cohort study included a total of 242 cycles underwent ICSI that cultured in time-lapse incubator from January 2019 to June 2023 at the Reproductive and Genetic Center of Suzhou Municipal Hospital and all 3 119 oocytes were evaluated. Data collection continued to February 5th,2024 until the last birthing of the study. Patients were divided into degenerated group (140 cycles) and control group (102 cycles) according to whether oocyte degenerated after ICSI. Then the embryo developmental potential and clinical outcomes were compared. Furthermore, we also investigated whether embryo morphokinetics could be different between the two groups.Results:Female age, duration of infertility, body mass index, basal follicle sitmulating hormone, basal luteinizing hormone, basal estrogen (E 2), antral follicle count, anti-Müllerian hormone, factors of infertility and source of semen were similar between the two groups ( P>0.05). E 2 on human chorionic gonadotropin triggered day [2 513.00 (1 842.20, 3 638.50) ng/L], number of oocytes retrieved (13.56±4.80) and oocyte maturation rate [84.35% (1 601/1 898)] were significantly higher in degenerated group than those in control group [2 270.50 (1 472.00, 3 044.20) ng/L, P=0.019; 11.97±4.71, P=0.011; 81.08% (990/1 221), P=0.017], while normal fertilization rate [69.33% (1 103/1 591)], day 3 (D3) good-quality embryos [57.85% (634/1 096)], blastocyst formation rate [50.87% (469/922)] and embryo utilized rate [58.30% (643/1 103)] were significantly lower in degenerated group than those in control group [85.56% (847/990), P<0.001; 65.72% (556/846), P<0.001; 61.26% (446/728), P<0.001; 66.12% (560/847), P<0.001] . In addition, the proportion of low cell number (<7) of D3 embryos [33.76% (370/1 096)] and high fragmentation (fragmentation ≥50%, fragmentation 20%-50%) of D3 embryos [10.01% (109/1 089), 18.64% (203/1 089)] in degenerated group were significantly higher than those in control group [27.19% (230/846), P=0.002; 6.06% (51/841), P=0.002; 14.15% (119/841), P=0.009], and so were the incidence of DC1 and CC [5.98% (66/1 103) vs. 2.48% (21/847), P<0.001; 2.45% (27/1 103) vs. 0.94% (8/847), P=0.013]. As regard to the utilized embryos, there were no significant differences in t5, cc2, cc3 and s2 ( P>0.05), but tPNf [22.82(21.13, 24.84) h], t2 [25.37 (23.62, 27.37) h], t3 [35.64 (33.10, 38.03) h] and t4 [36.85 (34.70, 39.52) h] in degenerated group were significantly earlier than those in control group [23.04 (21.76, 25.41) h, P=0.001; 25.91 (24.15, 28.05) h, P=0.001; 36.16 (33.11, 38.81) h, P=0.040; 37.39 (35.11, 40.27) h, P=0.026]. Further more, after the first transfer of fresh or frozen embryos, there were no significant differences in clinical pregnancy rate, implantation rate, early abortion rate, live birth rate, sex ratio, preterm birth rate, low birth weight rate and birth defect rate between the two groups (all P>0.05). ICSI degeneration was not an independent factor of implantation rate, early abortion rate and live birth rate after ICSI treatment, but number of embryos transferred was an independent factor of implantation rate and live birth rate after ICSI treatment ( OR=2.806, 95% CI: 1.179-6.677, P=0.020; OR=2.622, 95% CI: 1.129-6.090, P=0.025). Conclusion:The presence of oocyte degeneration after ICSI may affect the overall developmental potential of its sibling oocytes and may also disturb the morphokinetics of the embyos, however the pregnancy outcomes and neonatal birth outcomes may not be affected if transfer the best embryo in the first fresh or frozen cycle.

Objective:To extract and evaluate the relevant evidence to improve the family discharge preparation of premature infants with bronchopulmonary dysplasia, so as to provide evidence-based basis for clinical formulation of scientific and effective discharge plans.Methods:All the evidence on the family discharge readiness of premature infants with bronchopulmonary dysplasia was collected from Chinese and English databases or websites, and the quality of various studies was evaluated. JBI′s evidence grading and recommendation level system (2014 edition) was used to extract and summarize the evidence.Results:A total of 21 articles were included, and 24 pieces of evidence were summarized, which were divided into seven themes: pre-discharge planning, environmental preparedness, parent education and training, support systems, feeding and nutrition, respiratory management, and discharge follow-up.Conclusions:For preterm infants with bronchopulmonary dysplasia, discharge readiness should be improved in terms of standardizing discharge criteria and implementing a discharge plan; improving family care preparation to ensure discharge support; strengthening health management and implementing a personalized plan; and continuing high-quality follow-up to ensure long-term health.