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.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

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.

Aim To evaluate the role of the glucose transporter protein 1(GLUT1)-dependent glycolytic in the attenuation of oxygen-glucose deprivation-reoxygen-ation(OGD/R)injury in HK-2 cells by dexmedetomi-dine(Dex).Methods C57/BL6 mice were random-ly divided into three groups(n=6),namely,sham operation group(Sham group),renal ischemia reper-fusion group(I/R group)and Dex group(I/R+Dex group).Serum creatinine(Cr)and urea nitrogen(BUN)were measured,while the levels of key glyco-lytic enzymes HK2,PFKFB3 and GLUT1 were meas-ured.HK-2 cells were cultured and randomised into seven groups(n=6),which was treated with OGD/R,overexpression or interference with GLUT1,Dex and glycolysis inhibitor 2-DG.CCK-8 and LDH activi-ty were used to detect cellular damage.Glycolysis lev-els were detected by lactate and ECAR.The inflamma-tory level was reflected by qRT-PCR for IL-6 and TNF-α.qRT-PCR and Western blot were performed to de-tect the levels of GLUT1,HK2,and PFKFB3.Results Dex significantly ameliorated kidney injury and HK-2 cell injury(P＜0.05).Dex inhibited the OGD/R-induced rise in lactate and extracellular acidification rate(ECAR),as evidenced by suppression of the ex-pression of GLUT1,HK2 and PFKFB3(P＜0.05).In vitro experiments showed that GLUT1 knockdown sig-nificantly improved OGD/R-induced cellular damage.Lactate,ECAR,glycolysis-related mRNAs and pro-teins were inhibited by GLUT1 knockdown(P＜0.05).Significantly,there were no significant differ-ences in above indexes after Dex treatment based on GLUT1 knockdown.Overexpression of GLUT1 abroga-ted the protective effects of Dex,while reversing the inhibitory effects of Dex on the expression of GLUT1,HK2,and PFKFB3(P＜0.05).Conclusions Dexmedetomidine attenuates OGD/R induced injury in HK-2 cells by inhibiting GLUT1-dependent glycolysis.

Objective:To evaluate the effect of 5th generation mobile communication technology(5G) remote robot-assisted cholecystectomy on postoperative recovery and quality of life in patients with gallstones.Methods:Clinical data of patients who underwent 5G remote robotic cholecystectomy(20 cases) vs traditional robotic cholecystectomy(20 cases) at Gansu Provincial People's Hospital from May to September 2023 were retrospectively analyzed. Intraoperative and postoperative related indexes were compared between the two groups, and changes in pain analog scores before, 12 hours, and 24 hours after surgery, and global quality of life (GIQLI) scores before and 3 months after surgery were evaluated.Results:There was no significant difference between the two groups in terms of intraoperative and postoperative conditions (intraoperative blood loss, operative time, time to exhaustion, and length of hospital stay). Patients' pain analog scores at 12 and 24 hours postoperatively were lower than preoperatively, but the differences were not statistically significant( P>0.05). In addition, there was no significant difference in recovery indicators between the two groups compared to the control group ( P>0.05). Conclusion:The postoperative recovery metrics of 5G tele-robotic-assisted cholecystectomy were consistent with the results of conventional robotic surgery.

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.

BACKGROUND:According to different locations of lumbar disc herniation,it can be classified into many types.Among them,patients with intradural sac type lumbar disc herniation have severe clinical symptoms,which greatly affect their quality of life.Therefore,this article studies the risk factors for its onset,and improving the preoperative diagnostic rate is of great significance for the treatment and prevention of this disease.OBJECTIVE:To explore the risk factors for intradural lumbar disc herniation.METHODS:A retrospective analysis was conducted on 15 patients with intradural lumbar disc herniation(herniation group)admitted to three hospitals in Xuzhou city from May 2014 to November 2022.Propensity score matching was used to match patients with lumbar disc herniation who did not protrude into the dura mater in a ratio of 1:4.A total of 59 patients were selected and included in the non-herniation group.Clinical data were observed in the two groups.Univariate and binary logistic regression analysis,multiple linear regression,and PROBIT regression analysis were utilized to identify the relevant risk factors for intradural lumbar disc herniation.RESULTS AND CONCLUSION:(1)The results of univariate analysis showed that the average disease course,proportion of segments,modified Pfiirmann grading,sacral tilt angle,proportion of previous lumbar spine surgery history,and proportion of heavy manual workers,proportion of lumbar spinal stenosis,redundancy of the cauda equina,and ossification of the posterior longitudinal ligament all showed statistical differences in the herniation and non-herniation groups(P＜0.05).(2)Multivariate regression analysis showed that duration of disease,protruding segment,history of lumbar surgery,modified Pfiirmann grading,cauda equina redundancy,and lumbar spinal stenosis were independent risk factors for intradural lumbar disc herniation.(3)Based on the influencing factors,an receiver operating characteristic curve was constructed,with an area under curve of 0.956(95％CI:0.913-0.998),indicating good discrimination.(4)There was a significant correlation between the duration of the disease,the protruded segment,the history of lumbar spine surgery,the modified Pfirmann classification,cauda equina redundancy,lumbar spinal canal stenosis,and the incidence rate of intradural lumbar disc herniation.

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.