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.

ObjectiveThis paper aims to explore the in vitro anti-psoriasis activity and potential mechanism of Kangfuxin liquid （KFX liquid）， providing experimental evidence for the anti-psoriasis effect of KFX liquid. MethodsFirstly， the uninduced human immortalized keratinocyte cells （HaCaT cells） were divided into seven groups， namely the control group and KFX liquid groups with different doses （5， 10， 20， 40， 80， 160 g·L^-1）. After being treated with different concentrations of KFX liquid， the effect of KFX liquid on the normal cell proliferation was detected by using the cell counting kit-8 （CCK-8） method. Secondly， the uninduced HaCaT cells were divided into six groups， namely the control group and recombinant human interleukin-7A （rh-IL-7A） groups with different doses （5， 10， 50， 100， 120 g·L^-1）. After being treated with different concentrations of recombinant human interleukin-17A （rh IL-17A） liquid， the effect of rh IL-17A on cell proliferation was detected. The optimal induction concentration was screened. Then， normal HaCaT cells were divided into a control group and KFX liquid groups with different doses （5， 10， 20， 40， 80， 160 g·L^-1）. Except for the control group， the other groups established psoriasis cell models with the optimal induction concentration of rh IL-17A. After being treated with different concentrations of KFX liquid， the effects of KFX liquid on the psoriasis-like HaCaT cell proliferation were investigated. Finally， the uninduced HaCaT cells were divided into six groups， namely the control group， rh IL-17A group， methotrexate （MTX） group， and KFX liquid groups with different doses （20， 40， 80 g·L^-1）. Except for the control group， the other groups used the optimal induction concentration of rh IL-17A to establish psoriasis cell models. After being treated with different drugs， the cell migration levels were detected through scratch assays， and real-time quantitative polymerase chain reaction （Real-time PCR） was used to detect the relative mRNA expression levels of Ki-67 antigen （Ki67）， S100 calcium-binding protein A7 （S100A7）， S100 calcium-binding protein A8 （S100A8）， and S100 calcium-binding protein A9 （S100A9）， thereby comprehensively evaluating the in vitro anti-psoriasis activity of KFX liquid. By detecting the relative mRNA expression levels of interleukin-1β （IL-1β）， interleukin-6 （IL-6）， and chemokine-20 （CXCL-20） inflammatory-related factors in psoriasis-like HaCaT cells and the protein expression levels of Janus kinase 3 （JAK3）， phosphorylated Janus kinase 3 （p-JAK3）， signal transducer and activator of transcription 3 （STAT3）， and phosphorylated signal transducer and activator of transcription 3 （p-STAT3）， the mechanism was explored. ResultsCompared with that of control group， when treated with 80 g·L^-1 KFX liquid for 72 h （P<0.05） and at different times with 160 g·L^-1 KFX liquid， the HaCaT cell proliferation activity was significantly affected （P<0.01）， while the other concentrations of KFX liquid had no significant differences in cell morphology and cell proliferation activity at different times， indicating that the KFX liquid is relatively safe for HaCaT cells and has no obvious toxic side effects. Compared with that of control group， when treated with different concentrations of rh IL-17A for 24 h， the HaCaT cell proliferation activity was significantly enhanced， and the cell activity was the strongest when the concentration was 100 μg·L^-1 （P<0.05）， with a density close to 100% and intact cell morphology， indicating that 100 μg·L^-1 is the optimal concentration for inducing HaCaT cell proliferation. The results of the KFX liquid treatment on rh IL-17A-induced psoriasis-like cells show that the KFX liquid not only effectively inhibits the rh IL-17A-induced psoriasis-like HaCaT cell proliferation activity （P<0.01）， but also significantly reduces the migration ability of rh IL-17A-induced psoriasis-like HaCaT cells （P<0.01）， and the relative mRNA expression levels of Ki67， S100A7， S100A8， and S100A9 （P<0.01）. Moreover， the KFX liquid can significantly reduce the relative mRNA expression levels of IL-1β， IL-6， and CXCL-20 in rh IL-17A-induced psoriasis-like cells （P<0.01）， and significantly inhibit the phosphorylation levels of JAK3 and STAT3 proteins （P<0.05， P<0.01）. ConclusionThe KFX liquid has no obvious toxicity to uninduced HaCaT cells. It can inhibit rh IL-17A-induced psoriasis-like HaCaT cell proliferation， reduce the cell migration ability， and has good in vitro anti-psoriasis activity. Its action mechanism may be related to downregulating the expression levels of inflammation-related cytokines in the JAK3/STAT3 signaling pathway and inhibiting the phosphorylation levels of JAK3 and STAT3 proteins.

ObjectiveThis paper aims to explore the in vitro anti-psoriasis activity and potential mechanism of Kangfuxin liquid （KFX liquid）， providing experimental evidence for the anti-psoriasis effect of KFX liquid. MethodsFirstly， the uninduced human immortalized keratinocyte cells （HaCaT cells） were divided into seven groups， namely the control group and KFX liquid groups with different doses （5， 10， 20， 40， 80， 160 g·L^-1）. After being treated with different concentrations of KFX liquid， the effect of KFX liquid on the normal cell proliferation was detected by using the cell counting kit-8 （CCK-8） method. Secondly， the uninduced HaCaT cells were divided into six groups， namely the control group and recombinant human interleukin-7A （rh-IL-7A） groups with different doses （5， 10， 50， 100， 120 g·L^-1）. After being treated with different concentrations of recombinant human interleukin-17A （rh IL-17A） liquid， the effect of rh IL-17A on cell proliferation was detected. The optimal induction concentration was screened. Then， normal HaCaT cells were divided into a control group and KFX liquid groups with different doses （5， 10， 20， 40， 80， 160 g·L^-1）. Except for the control group， the other groups established psoriasis cell models with the optimal induction concentration of rh IL-17A. After being treated with different concentrations of KFX liquid， the effects of KFX liquid on the psoriasis-like HaCaT cell proliferation were investigated. Finally， the uninduced HaCaT cells were divided into six groups， namely the control group， rh IL-17A group， methotrexate （MTX） group， and KFX liquid groups with different doses （20， 40， 80 g·L^-1）. Except for the control group， the other groups used the optimal induction concentration of rh IL-17A to establish psoriasis cell models. After being treated with different drugs， the cell migration levels were detected through scratch assays， and real-time quantitative polymerase chain reaction （Real-time PCR） was used to detect the relative mRNA expression levels of Ki-67 antigen （Ki67）， S100 calcium-binding protein A7 （S100A7）， S100 calcium-binding protein A8 （S100A8）， and S100 calcium-binding protein A9 （S100A9）， thereby comprehensively evaluating the in vitro anti-psoriasis activity of KFX liquid. By detecting the relative mRNA expression levels of interleukin-1β （IL-1β）， interleukin-6 （IL-6）， and chemokine-20 （CXCL-20） inflammatory-related factors in psoriasis-like HaCaT cells and the protein expression levels of Janus kinase 3 （JAK3）， phosphorylated Janus kinase 3 （p-JAK3）， signal transducer and activator of transcription 3 （STAT3）， and phosphorylated signal transducer and activator of transcription 3 （p-STAT3）， the mechanism was explored. ResultsCompared with that of control group， when treated with 80 g·L^-1 KFX liquid for 72 h （P<0.05） and at different times with 160 g·L^-1 KFX liquid， the HaCaT cell proliferation activity was significantly affected （P<0.01）， while the other concentrations of KFX liquid had no significant differences in cell morphology and cell proliferation activity at different times， indicating that the KFX liquid is relatively safe for HaCaT cells and has no obvious toxic side effects. Compared with that of control group， when treated with different concentrations of rh IL-17A for 24 h， the HaCaT cell proliferation activity was significantly enhanced， and the cell activity was the strongest when the concentration was 100 μg·L^-1 （P<0.05）， with a density close to 100% and intact cell morphology， indicating that 100 μg·L^-1 is the optimal concentration for inducing HaCaT cell proliferation. The results of the KFX liquid treatment on rh IL-17A-induced psoriasis-like cells show that the KFX liquid not only effectively inhibits the rh IL-17A-induced psoriasis-like HaCaT cell proliferation activity （P<0.01）， but also significantly reduces the migration ability of rh IL-17A-induced psoriasis-like HaCaT cells （P<0.01）， and the relative mRNA expression levels of Ki67， S100A7， S100A8， and S100A9 （P<0.01）. Moreover， the KFX liquid can significantly reduce the relative mRNA expression levels of IL-1β， IL-6， and CXCL-20 in rh IL-17A-induced psoriasis-like cells （P<0.01）， and significantly inhibit the phosphorylation levels of JAK3 and STAT3 proteins （P<0.05， P<0.01）. ConclusionThe KFX liquid has no obvious toxicity to uninduced HaCaT cells. It can inhibit rh IL-17A-induced psoriasis-like HaCaT cell proliferation， reduce the cell migration ability， and has good in vitro anti-psoriasis activity. Its action mechanism may be related to downregulating the expression levels of inflammation-related cytokines in the JAK3/STAT3 signaling pathway and inhibiting the phosphorylation levels of JAK3 and STAT3 proteins.

Objective To construct a mammography image classification assistant system suitable for Chinese population,and explore the potential of artificial intelligence technology to assist early screening of breast cancer in China.Methods Curated breast imaging subset of digital database for screening mammography(CBIS-DDSM),Mammographic image analysis society database(MIAS)and other international open datasets were used to conduct model training respectively in order to reproduce the mainstream in-depth learning methods in the current literature.The model was also tested on the Chinese breast mammography database(CBMD)provided by Huajiao Technology Co.,Ltd,and the performance was compared.Aiming at the problem that the Chinese population data are not ideal in the performance test of the open dataset training model,an optimization strategy based on the sliding window adjustment mechanism was implemented in combination with the characteristics of Chinese population data.Then a two-stage migration learning method was designed to improve the overall performance of the model,and then development of our system was carried out.Results With the sliding window adjustment mechanism and the CBMD training model after two-stage transfer learning,the accuracy of our developed system was improved from 0.50 of the open datasets to 0.80,precision from 0.54 to 0.82,sensitivity from 0.52 to 0.80,F1 value from 0.52 to 0.80,and AUC value from 0.51 to 0.89 based on the Chinese population dataset as the test set.Conclusion Through the introduction of sliding window adjustment mechanism and two-stage migration learning strategy,the performance of the breast molybdenum target image classification model has been significantly improved in the Chinese population dataset,and our system primarily achieves the purpose of assisting the classification of breast molybdenum target images for the Chinese population.

Objective:To analyze the development trend of medical institution bed allocation in OECD countries and provide insights for optimizing bed resources allocation in China.Methods:Data on indicators of bed allocation and related factors from 1991 to 2022 were collected from the OECD online database.Bed allocation impact dimensions were identified based on health needs and demand theories.The random effect model and correlation analysis were used to explore influencing pathways of bed allocation.Results:The number of beds per 1 000 population and average life expectancy showed a significant positive correlation in countries below the average bed level,while an inverse trend was observed in countries above the average level.The number of long-term care beds per 1000 population showed positive correlation with average life expectancy.Multidimensional factors such as the disease spectrum and bed utilization efficiency were significant correlated with the bed allocation levels.The greater the gap in inpatient and outpatient reimbursement rations,the higher the demand for hospitalization among patients with chronic disease.Conclusions:An optimal number of beds is essential for achieving higher health outcomes.The bed classification planning system should be designed to adapt to demographic changes and strengthen the medical security support system.

Objective:To evaluate the cost-effectiveness and impact on mortality of health management services for the elderly aged 65 years and older in national essential public health service project.Methods:Based on the data of county-level medical institutions in Henan Province from 2019 to 2024,the Random Forest Method was used to construct a counterfactual framework to predict the hospitalization expenses under the unmanaged scenario,and then the cost-benefit ratio(BCR)and net income were calculated.Time-dependent Cox proportional hazards model was used to evaluate the effect of health management on all-cause mortality and cardiovascular and cerebrovascular disease mortality in the elderly.Results:A total of 962 955 elderly patients were included,451 119(46.85%)were included in the management group.The average hospitalization cost of the management group was significantly lower than that of the non-management group(P<0.05).Except for 2020-2021,BCRS in 2019 and 2022-2024 were 6.34,2.05,4.45 and 6.60,respectively.The risk of all-cause death was reduced by 76.96%,and the risk of cardiovascular and cerebrovascular death was reduced by 75.57%in the elderly patients included in the management group compared with those not included in the management group.Suggestions:It is necessary to establish a health outcomes-based evaluation system and promote the transformation and upgrading of the service model from single chronic disease management to"integrated health services with multi-disease management".

Objective:To investigate the optimal timing of oral propranolol treatment for proliferative infantile hemangiomas (IH) .Methods:A bidirectional cohort study was conducted. Infants with proliferative IH receiving oral propranolol treatment were collected from the Department of Pediatric Surgery, West China Hospital, Sichuan University between June 2015 and May 2019, and their general information and IH-related clinical data were analyzed. The primary outcome was the satisfactory regression rate of IH during 6-12 months of continuous oral propranolol treatment; secondary outcomes included the time to achieve satisfactory regression, incidence of adverse reactions, incidence of IH ulceration, and IH recurrence rate. Multivariate logistic regression was performed to identify factors influencing the satisfactory regression of IH after propranolol treatment, and a receiver operating characteristic (ROC) curve was employed to determine the optimal age for initiating propranolol therapy.Results:A total of 122 IH infants were enrolled in the study, including 32 males (26.2%) and 90 females (73.8%), with ages ( M[ Q1, Q3]) of 8.6 [6.3, 12.3] weeks. IH was located on the head and face in 56 cases (45.9%). There were 57 cases (46.7%) of localized IH, 53 (43.4%) of segmental IH, and 86 (70.5%) of mixed-type IH. Ulceration occurred in 17 cases (13.9%). After 6 months of propranolol treatment, 8 patients (6.6%) experienced treatment failure, and 12 (9.8%) experienced relapse within 6 months after discontinuation of propranolol. During 6 months of oral propranolol treatment, 56 infants (45.9%) experienced mild to moderate adverse reactions, with no drug-related deaths observed. Multivariate logistic regression analysis revealed that the age at initiation of propranolol treatment was an independent factor influencing satisfactory regression of IH ( OR = 0.879, 95% CI: 0.808 - 0.957). ROC curve analysis revealed that the optimal age for starting propranolol therapy was 9.9 weeks, with a sensitivity of 75.7% and a specificity of 61.5%. Infants aged ≤ 9.9 weeks (73 cases) had a significantly higher satisfactory regression rate (72.6% [53/73]) compared with those aged > 9.9 weeks (49 cases, 34.7% [17/49]; χ2 = 17.23, P < 0.001) ; the time to achieve satisfactory regression of IH was significantly shorter in the infants aged ≤ 9.9 weeks ( M[ Q1, Q3]: 46.0 [38.5, 48.0] weeks) than in those aged > 9.9 weeks (57.0 [40.0, 73.5] weeks; Z = -2.01, P = 0.045) . Conclusion:For IH infants requiring systemic therapy, initiation of oral propranolol before the age of 10 weeks appeared to improve the satisfactory regression rate of IH.

Objective:To investigate the optimal timing of oral propranolol treatment for proliferative infantile hemangiomas (IH) .Methods:A bidirectional cohort study was conducted. Infants with proliferative IH receiving oral propranolol treatment were collected from the Department of Pediatric Surgery, West China Hospital, Sichuan University between June 2015 and May 2019, and their general information and IH-related clinical data were analyzed. The primary outcome was the satisfactory regression rate of IH during 6-12 months of continuous oral propranolol treatment; secondary outcomes included the time to achieve satisfactory regression, incidence of adverse reactions, incidence of IH ulceration, and IH recurrence rate. Multivariate logistic regression was performed to identify factors influencing the satisfactory regression of IH after propranolol treatment, and a receiver operating characteristic (ROC) curve was employed to determine the optimal age for initiating propranolol therapy.Results:A total of 122 IH infants were enrolled in the study, including 32 males (26.2%) and 90 females (73.8%), with ages ( M[ Q1, Q3]) of 8.6 [6.3, 12.3] weeks. IH was located on the head and face in 56 cases (45.9%). There were 57 cases (46.7%) of localized IH, 53 (43.4%) of segmental IH, and 86 (70.5%) of mixed-type IH. Ulceration occurred in 17 cases (13.9%). After 6 months of propranolol treatment, 8 patients (6.6%) experienced treatment failure, and 12 (9.8%) experienced relapse within 6 months after discontinuation of propranolol. During 6 months of oral propranolol treatment, 56 infants (45.9%) experienced mild to moderate adverse reactions, with no drug-related deaths observed. Multivariate logistic regression analysis revealed that the age at initiation of propranolol treatment was an independent factor influencing satisfactory regression of IH ( OR = 0.879, 95% CI: 0.808 - 0.957). ROC curve analysis revealed that the optimal age for starting propranolol therapy was 9.9 weeks, with a sensitivity of 75.7% and a specificity of 61.5%. Infants aged ≤ 9.9 weeks (73 cases) had a significantly higher satisfactory regression rate (72.6% [53/73]) compared with those aged > 9.9 weeks (49 cases, 34.7% [17/49]; χ2 = 17.23, P < 0.001) ; the time to achieve satisfactory regression of IH was significantly shorter in the infants aged ≤ 9.9 weeks ( M[ Q1, Q3]: 46.0 [38.5, 48.0] weeks) than in those aged > 9.9 weeks (57.0 [40.0, 73.5] weeks; Z = -2.01, P = 0.045) . Conclusion:For IH infants requiring systemic therapy, initiation of oral propranolol before the age of 10 weeks appeared to improve the satisfactory regression rate of IH.

Objective:To investigate the effect of transforming growth factor beta 1 (TGF-β1) on the biological activity of infantile hemangioma (IH) -derived endothelial cells (HemECs) .Methods:Three proliferating IH tissues and three involuting IH tissues were collected from IH patients receiving surgical resection at the Department of Pediatric Surgery, West China Hospital, Sichuan University from February to August 2021. Primary HemECs were isolated from proliferating IH tissues, and human umbilical vein endothelial cells (HUVECs) served as the control. The TGF-β1 expression levels in tissues and cells were detected by immunohistochemical study and Western blot analysis. Cell counting kit-8 (CCK8) assay was performed to assess the effect of 0 (control group) - 100 ng/ml TGF-β1 on HemEC proliferation. HemECs were treated with 5 ng/ml TGF-β1 or without (control group), and after several hours of treatment, Transwell assay was performed to evaluate cell migration ability, and immunofluorescence assay to assess the changes in the expression of endothelial markers (platelet-endothelial cell adhesion molecule-1 [CD31], vascular endothelial cadherin [VE-cadherin]) and mesenchymal markers (α-smooth muscle actin [α-SMA], collagen type Ⅰ α 1 [COL1A1]). Comparisons between groups were conducted by t test or one-way analysis of variance. Results:Immunohistochemical study showed that proliferating IH tissues were stained positively for TGF-β1, which was expressed relatively abundantly; the percentages of TGF-β1-positive signal area were higher in the proliferating IH tissues (24.68% ± 3.74%) than in the involuting IH tissues (almost no expression). Western blot analysis revealed that the relative expression level of TGF-β1 was significantly higher in HemECs (1.08 ± 0.13) than in HUVECs (0.30 ± 0.04, t = 9.93, P < 0.001). CCK8 assay showed increased proliferative activity of HemECs in the 3.125-, 6.25-, 12.5-, 25-, 50- and 75-ng/ml TGF-β1 groups compared with the control group (all P < 0.05), and no significant difference was found between the 100-ng/ml TGF-β1 group and the control group ( P > 0.05). Transwell assay revealed an increased number of migratory HemECs in the 5-ng/ml TGF-β1 group (127 ± 6) compared with the control group (103 ± 9; t = 5.32, P < 0.01). Immunofluorescence assay showed significantly decreased fluorescence intensity of endothelial markers CD31 and VE-cadherin in the 5-ng/ml TGF-β1 group (5.441 ± 1.254, 5.073 ± 0.412, respectively) compared with the control group (9.518 ± 1.728,7.671 ± 0.921, t = 3.31, 4.46, P = 0.030, 0.011, respectively), and significantly increased fluorescence intensity of mesenchymal markers α-SMA and COL1A1 in the 5-ng/ml TGF-β1 group (8.074 ± 0.846, 5.885 ± 0.216, respectively) compared with the control group (0.393 ± 0.342, 0.295 ± 0.125, t = 14.58, 38.76, P < 0.001, < 0.000 1, respectively) . Conclusion:TGF-β1 was relatively highly expressed in the proliferating IH tissues and HemECs, and could promote the proliferation, migration and endothelial-to-mesenchymal transition of HemECs.

Objective:To establish a complete system for the isolation, purification, identification, and culture of Kaposiform hemangioendothelioma-derived endothelial cells (KHE-ECs), to analyze the phenotype of KHE-ECs, and to explore the possibility of establishing a KHE-EC bank.Methods:A novel digestion solution for KHE tumors (patent number: CN202410500224.2) was formulated using collection fluid, Liberase TM and dispase stock solutions, and was used to process tumor tissues to obtain cells. High-purity KHE-ECs were purified using CD31 + immunomagnetic beads. The EGM-2 complete medium containing 10% fetal bovine serum and 2% penicillin-streptomycin solution was employed for cell culture. To verify the characteristics of KHE-ECs, immunofluorescence assay was conducted to determine the expression of endothelial cell-specific markers CD31 and CD34, KHE disease markers podoplanin (D2-40), prospero-related homeobox 1 (Prox-1), and lymphatic vessel endothelial hyaluronan receptor 1 (LYVE1), as well as an infantile hemangioma-specific diagnostic marker glucose transporter 1 (GLUT-1). Human umbilical vein endothelial cells (HUVECs) served as controls for the phenotype analysis of KHE-ECs, including cell viability, cytoskeleton, proliferation, migration, invasion, tube formation, and sprouting ability. Results:Primary cells were successfully isolated from KHE tumor tissues, and high-purity KHE-ECs were obtained by using CD31 + immunomagnetic beads. The cells exhibited typical spindle-shaped morphology and an adherent growth pattern. Immunofluorescence assay showed that KHE-ECs expressed CD31, CD34, D2-40, Prox-1, and LYVE1, but did not express GLUT-1. There were significant differences in cell morphology, cell viability, and cytoskeletal structures between KHE-ECs and HUVECs. Additionally, the KHE-EC group showed significantly increased percentages of proliferative cells (29.1% ± 2.5%), numbers of migratory cells (114.3 ± 9.4) and invasive cells (110.0 ± 6.1), tube length (32 121.0 ± 892.0 μm), and number of sprouting cells (25.0 ± 3.6) compared with the HUVEC group (13.0% ± 2.2%, 38.0 ± 3.6, 35.3 ± 2.3, 25 345.0 ± 448.1 μm, 5.0 ± 1.0, respectively, all P ≤ 0.001) . Conclusion:An innovative digestion solution specifically for KHE tumors was formulated for the first time, and high-purity and well-growing KHE-EC strains were successfully isolated and purified by using the novel digestion solution in combination with CD31 + immunomagnetic beads, providing a stable and reliable cell source for subsequent experimental studies on KHE and laying the foundation for establishing a KHE-EC bank.