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 Silicosis is a fatal form of pulmonary fibrosis caused by the inhalation of silica dust. Although the underlying pathogenesis remains unclear, and the macrophage-mediated immune response plays a central role in its development. Objective To investigate the expression, functional role, and upstream regulatory mechanism of C-C motif chemokine ligand 22 (CCL22) in silica-induced pulmonary fibrosis. Methods Through bioinformatics analysis, we identified CCL22 as a potential key factor in pulmonary fibrosis. We established in vitro models by stimulating human monocytic leukemia cells (THP-1) and peripheral blood mononuclear cell-derived macrophages (PBMC-m) with crystalline silica (CS). The regulation of CCL22 expression by CS was validated using quantitative real-time polymerase chain reaction (qRT-PCR) and enzyme-linked immunosorbent assay (ELISA). Subsequently, a conditioned co-culture system comprising macrophages and lung epithelial cells (BEAS-2B) was developed to evaluate the effects of CCL22 on lung epithelial cell function. Furthermore, the molecular mechanisms underlying CS-induced CCL22 secretion by macrophages were investigated using bioinformatics analysis, Western blot, specific inhibitors, qRT-PCR, and ELISA. Results Bioinformatics analysis identified CCL22 as a key upregulated molecule in pulmonary fibrosis. In vitro experiments confirmed that CS treatment significantly enhanced CCL22 mRNA transcription and protein secretion in THP-1 and PBMC-m cells (P<0. 0001). In the co-culture system, supernatant from CS-stimulated macrophages with stable CCL22 knockdown significantly inhibited the scratch-healing ability and fibrotic process of BEAS-2B cells, and reversed the epithelial-mesenchymal transition (EMT) phenotype compared to the control group. Mechanism studies found that, compared to other transcription factors such as signal transducer and activator of transcription 3 (STAT3) and nuclear factor-κB (NF-κB), the inhibition of of specific protein 1 (SP1) most significantly attenuated the CS-induced upregulation of CCL22. Furthermore, pathway inhibition experiments demonstrated that inhibiting extracellular signal-regulated kinase (ERK) reduced both CCL22 expression and p-SP1. Conversely, SP1 intervention did not affect ERK activation. Conclusion CS promotes CCL22 secretion by macrophages through the Raf/ERK-Sp1 signaling pathway, thereby driving fibrotic changes in pulmonary epithelial cells.

OBJECTIVE To explore the characteristics and influential factors of pharmaceutical clinic service demands， providing evidence for optimizing pharmaceutical service models and facilitating pharmaceutical service models of pharmacist role transformation. METHODS A cross-sectional survey design was adopted， and 410 outpatient participants were selected from Fudan University Shanghai Cancer Center through convenience sampling for questionnaire administration from February to May 2025. Kano model was applied to analyze the demand attributes of 25 pharmaceutical services， while questionnaires were used to assess patients’ awareness and demand status. Subgroup analyses were conducted based on key demographic variables such as gender， age， educational attainment， and economic burdens， to SACA- systematically examine the differences in Kano attribute classification among patients in each subgroup. RESULTS The awareness rate of pharmaceutical outpatient services among patients was only 14.63%， yet those who were aware demonstrated a significantly higher demand rate for such services compared to those who were unaware （P＜0.001）. The demand for pharmaceutical clinic services exhibited a hierarchical characteristic： twelve items were identified as attractive attributes （e. g.， providing suggestions for more affordable treatment options， offering online consultation services， etc.）， five items as expected attributes （e.g.， having a good attitude and being able to patiently answer your questions， etc.）， three items as must-have attributes （e.g.， providing guidance on medication dosage and usage， providing guidance on medication precautions， etc.）， five items as indifferent attributes （e.g.， providing treatment plan recommendations based on the patient’s condition）. There were zero items classified as reverse attribute. Subgroup analysis revealed that female patients showed greater concern for “neat and clean attire of medical staff” than male patients （P＜0.001）； patients under 60 years of age demonstrated stronger demand for “providing treatment plan recommendations based on patients’ conditions” compared to patients aged 60 or above （P＝0.016）； those with below high school education placed greater emphasis on “providing guidance on medication precautions” compared to those with a high school education or above （P＝0.011）； patients with lower economic burdens exhibited stronger preferences for “neat and clean attire of medical staff ” （P＝0.002）. CONCLUSIONS The public awareness rate of pharmaceutical clinic services is considerably low； however， those who are aware of such services demonstrate significantly higher demand. The medication safety-related services and convenience-oriented demands should be prioritized in the development of pharmaceutical clinics. Moreover， the study also revealed that factors such as gender， age， educational level， and economic burdens exert significant influences on patients’ service demands.

Objective:To investigate the impact of the number of examined lymph nodes (ELN) on survival outcomes in gastric cancer patients with postoperative pathological stage pN3b.Methods:This retrospective cohort study included 279 pN3b gastric cancer patients who underwent D2 gastrectomy at Nanfang Hospital, Southern Medical University (September 2008 to April 2023), with 35 patients receiving combination chemotherapy and anti-PD-1 therapy (immunotherapy group) and 244 receiving adjuvant chemotherapy alone (nonimmunotherapy group). Additionally, 422 patients with pN3b from the SEER database (2005 to 2020) were collected as an external validation cohort to determine the optimal cutoff value for the number of lymph nodes examined in the nonimmunotherapy group. The primary endpoints were overall survival (OS) and recurrence-free survival (RFS) in the nonimmunotherapy group of the Nanfang Hospital cohort, stratified by whether the number of examined lymph nodes was above or below the ELN optimal cutoff value. These findings were subsequently validated in the SEER cohort.Results:The optimal ELN cutoff value (34 nodes) was determined using X-tile software and by constructing an ELN-HR fitting model with inflection point identification. In the nonimmunotherapy group, patients with ELN >34 exhibited significantly prolonged survival compared to ELN ≤34 (median OS: 25.0 (95%CI:20.5-29.5) to 17.0 (95%CI:12.7-21.3) months, P=0.004; median RFS: 19.0 (95%CI:15.6-22.4) to 13.0 (95%CI:9.5-16.5) months, P=0.048). Multivariate Cox analysis also showed ELN >34 to be an independent protective factor for both OS (HR=0.576, 95%CI: 0.397-0.836) and RFS (HR=0.701, 95%CI: 0.492-0.998). In the SEER cohort, ELN >34 was associated with a 5-month OS extension (19 to 14 months, P=0.065), with multivariate analysis supporting its independent prognostic significance (HR=0.729, 95%CI: 0.580-0.915, P=0.006). Notably, in the immunotherapy group, patients with ELN >34 ( n=30) achieved a median OS of 41 months, but the median OS had not been reached in the ELN ≤34 group ( n=5) (1 death at 48 months). Conclusion:Higher ELN (>34) correlates with improved survival in nonimmunotherapy-treated pN3b gastric cancer patients. However, in pN3b gastric cancer patients treated with immunotherapy, the optimal ELN threshold requires further exploration to determine.

Objective:The genotoxicity risk of graphene artificial nerve sheath conduit was systematically evaluated to provide scientific evidence for their clinical safety and to establish methodological references for the genotoxicity assessment of nanomaterial medical devices.Methods:The potential effects of graphene artificial nerve sheath conduit on genetic and chromosomal endpoints were analyzed by integrating bacterial reverse mutation assays,in vitro chromosome aberration assays,mouse lymphoma cell TK gene mutation tests,and mammalian erythrocyte Pig-a gene mutation assays.Results:In the bacterial reverse mutation assay,all plates showed good background growth.There was no significant difference in the average number of revertant colonies between the test group and the negative control group,with a ratio around 1.0.In the in vitro chromosome aberration assay,the chromosomal aberration rate in the test group was less than 5％,showing no significant increase compared to the negative control group.In the mouse lymphoma cell TK gene mutation assay,the mutation frequency in the test group was less than twice that of the negative control group,with no significant difference.In the mammalian erythrocyte Pig-a gene mutation assay,the mutation frequencies of erythrocytes and reticulocytes in the test group were both less than 3× 10-6,showing no significant difference compared to the negative control group.Conclusions:Graphene artificial nerve sheath conduit exhibited no detectable genotoxicity under the tested conditions,the research results can provide reference and guidance for the genotoxicity evaluation of nanomaterial medical devices.

Objective:To identify the developmental trajectories of internet use and well-being among the elderly in China,and to explore the dynamic relationship between these trajectories and the moderating role of intergenerational support from children.Methods:Group-Based Trajectory Modeling was employed to identify developmental trajectories,and moderated generalized logits models were used to analyze the relationship between trajectories and the moderating effect of intergenerational support from children.Results:Both internet use and well-being among the elderly exhibited differentiated developmental trajectories.Internet use trajectories had a significant positive impact on well-being trajectories.Compared with the low-level group,the elderly in the moderate internet use group being classified into the medium-and high-level well-being groups were 1.550 times(P<0.01)and 1.539 times(P<0.05)those of the offline group respectively,while those in the high-frequency internet use group were 9.560 times(P<0.01)and 9.030 times(P<0.01),respectively.Intergenerational support from children negatively moderated this relationship(medium-level well-being group:OR=0.768,P<0.05;high-level well-being group:OR=0.733,P<0.05).Conclusions:Internet use can sustainably enhance the well-being of the elderly over the long term,with this effect being more pronounced among those receiving less intergenerational support from children.It is recommended to establish a dual-track service system integrating online and offline channels,and to prioritize internet empowerment as a targeted social support strategy for the elderly with insufficient intergenerational support from children.

Objective To investigate the practical effects of pediatric rapid sequence intubation(RSI)nursing coordination training based on the LSPPDM(learn,see,practice,prove,do,maintain)framework in order to provide evidence for optimizing pediatric RSI nursing training programs.Methods Nurses from the intensive care unit(ICU)of Children's Hospital,Fudan University during Feb 2023 and Jan 2024 were divided into the experimental group(n=35)and the control group(n=35)by block randomization.The experimental group received LSPPDM framework-based training,while the control group underwent conventional training with theoretical lectures and procedural demonstrations.Outcomes included training satisfaction,theoretical knowledge and procedural skill assessment scores,team collaboration compliance and RSI procedure time were compared between the two groups.Results The experimental group demonstrated significantly higher training satisfaction(123.80±2.04 vs.117.26±9.82,P<0.05),superior post-training theoretical knowledge and procedural skills(P<0.05),enhanced team collaboration compliance(P<0.05),and shorter RSI completion time(P<0.05)compared with the control group.Conclusion Pediatric RSI nursing coordination training based on the LSPPDM framework can effectively increase training satisfaction,promote theoretical and procedural skills and reduce completion time in nurses.

Objective:To compare the short-term outcomes of arthroscopic suture bridge technique versus those of arthroscopic tie knot technique in the treatment of tibial avulsion fractures of the anterior cruciate ligament (ACL).Methods:A retrospective study was conducted to analyze the 53 patients with ACL tibial avulsion fracture who had been treated arthroscopically at Department of Sports Medicine, Wuhai People's Hospital between February 2018 and February 2024. There were 31 males and 22 females, with an age of (48.2±5.1) years. The left knee was affected in 27 cases and the right knee in 26 cases. According to the Meyers-Mckeever classification, 32 cases were of type Ⅱ and 21 cases of type Ⅲ. The patients were divided into 2 groups according to different fixation methods: 20 cases were fixed by the arthroscopic tie knot technique (the tie knot group) and 33 cases by the arthroscopic suture bridge technique (the suture bridge group). The operation time and fracture healing time were recorded and compared between the 2 groups. At preoperation, 3 and 6 months after operation, and the last follow-up, the knee pain was evaluated by visual analogue scale (VAS) pain score, the knee stability (side to side disparity) by a KT-1000 arthrometer, and the knee function by The International Knee Documentation Committee (IKDC) subjective score, Lysholm score, knee range of motion, and activities of daily living (ADL) scale. Comparisons were made between and within the 2 groups.Results:The differences in the general preoperative data were not statistically significant between the 2 groups, indicating comparability ( P>0.05). The tie knot group and the suture bridge group were followed up respectively for (13.9±2.1) and (14.5±2.1) months. The surgical time for the suture bridge group [(66.9±8.4) min] was significantly longer than that for the tie knot group [(51.2±6.3) min] ( P<0.05). At 3 months after operation, the VAS pain score [(1.2±0.2) points], side to side disparity [(2.5±0.6) mm], IKDC subjective score [(89.6±1.6) points], Lysholm score [(88.0±1.4) points], knee range of motion (132.1°±2.1°), and ADL score [(88.8±3.3) points] in the suture bridge group were significantly better than those in the tie knot group [(2.1±0.3) points, (3.0±0.9) mm, (87.0±1.4) points, (84.0±1.6) points, 102.1°±2.1°, and (80.3±3.4) points] ( P<0.05). However, there were no significant differences in VAS pain score, side to side disparity, IKDC subjective score, Lysholm score, knee range of motion or ADL score between the 2 groups at 6 months after operation or at the last follow-up ( P>0.05). Statistically significant differences were observed between all time points for VAS pain scores, side-to-side disparity, IKDC subjective scores, Lysholm scores, knee range of motion, and ADL scores in all patients ( P<0.05). No incision infection, nerve injury or other complications occurred in the 2 groups after operation. Conclusions:Both arthroscopic suture bridge technique and arthroscopic tie knot technique are safe and effective intervention options for avulsion fractures of the ACL tibial insertion. The suture bridge technique, with its stable biomechanical properties, can significantly accelerate the process of early postoperative knee function recovery to shorten the recovery period. However, it requires longer surgical time.

Objective To investigate the ameliorative effect and the related mechanism of rotating magnetic fields(RMF)on sevoflurane(SEV,a commonly used inhalational anesthetics in clinics)-induced cognitive impairments in elderly rats.Methods The cognitive functions of 24 elderly male SD rats which were allocated into 3 experimental groups(Control group,SEV group,and SEV+RMF group;n=8 per group)were assessedviawater maze testing,and the damage and repair of hippocampal neurons were detected using ELISA and Western blotting assays.Water maze testing was also conducted on additional 24 elderly male SD rats which were randomized into 3 groups(SEV group,SEV+RMF group,and SEV+autophagy inhibitor+RMF group;n=8 per group)for assessing their cognitive functions.Results Compared with SEV group,RMF intervention significantly reduced the escape latency and swimming distance in water maze test(P<0.01),while increasing the number of platform crossovers(P<0.001).RMF downregulated the serum levels of tumor necrosis factor-α,interleukin-1β,and interleukin-6 in SEV-treated rats(P<0.001),and led to remarkable reductions in both serum neuron-specific enolase and β-amyloid protein levels(P<0.001).Moreover,RMF upregulated the expressions of nerve growth factor and brain-derived neurotrophic factor in hippocampal neurons(P<0.001),suppressed the expression of apoptotic protein caspase-3 and autophagy related protein p62 in the hippocampus,and upregulate the expression of autophagy related protein Beclin-1(P<0.001).However,the administration of autophagy inhibitor 3-MA abolished the ameliorative effects of RMF on SEV-induced cognitive impairments in elderly rats(P<0.001).Conclusion RMF can effectively improves SEV-induced cognitive dysfunction in elderly rats,and this neuroprotective effect is mediated by the autophagy activation in hippocampal neurons.

Objective To study the plasma metabolomics of mice poisoned by different dosage of the combination of diazepam and ethanol,and to reveal the toxicological mechanisms of combined poisoning of diazepam and ethanol.Methods Female Kunming mice were randomly divided into blank group,single and combined poisoning group(n=6),Based on the LD50 of diazepam co-administered with graded ethanol doses,mice in the single-drug and combined groups received oral gavage at 1/2,1,and 2 × LD50.Retro-orbital blood samples(～500 μL)were collected within 24 hours post-administration and analyzed by UPLC-QE-MS technology.Principal component analysis and orthogonal partial least squares discriminant analysis were used to identify differential metabolites and associated metabolic pathways.Results A total of 387 differential metabolites were identified in the combined poisoning group of diazepam and ethanol implicating the key pathways including tryptophan metabolism,phenylalanine metabolism,arginine and proline metabolism,Glycerophospholipid metabolism,phenylalanine,tyrosine and tryptophan biosynthesis.Conclusion Combined diazepam and ethanol poisoning exerts significant systemic effects by disrupting neurotransmitters conduction,exacerbating oxidative stress response and dysregulating energy metabolism.