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 screen for and validate key differentially expressed proteins in serum of patients with metabolic dysfunction‑associated fatty liver disease （MAFLD）， and to provide a basis for identifying diagnostic biomarkers and developing intervention strategies for this disease. MethodsA total of 20 patients who were diagnosed with MAFLD in the third affiliated hospital of Chengdu University of Traditional Chinese Medicine from December 2024 to January 2025 were enrolled as MAFLD group， and 20 healthy controls were enrolled as HC group. Demographic data and serum biochemical parameters were collected from both groups. Data-independent acquisition （DIA） quantitative proteomics was used to measure the relative expression levels of serum proteins， and related methods were used to obtain significantly differentially expressed proteins， including the gene ontology functional enrichment analysis， the Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis， protein-protein interaction （PPI） network， Hub node interaction， and weighted gene co-expression network analysis （WGCNA）. Rats were given a high-fat diet to establish a model of MAFLD， and randomly assigned to the control group and model group. Serum biochemical parameters and inflammatory factors were measured， liver histopathological changes were observed， and the protein expression levels of MER proto-oncogene tyrosine kinase （MERTK） and matrix metalloproteinase-9 （MMP-9） in liver tissue were verified. The independent-samples t test was used for comparison of normally distributed continuous data between groups， while the Mann-Whitney U test was used for comparison of non-normally distributed continuous data or data with heterogeneity of variance between groups； the chi-square test or the Fisher’s exact test was used for comparison of categorical data between groups. ResultsCompared with the HC group， the MAFLD group had significant increases in the serum levels of aspartate aminotransferase （t=-7.348， P<0.05）， alanine aminotransferase （Z=5.088， P<0.05）， alkaline phosphatase （t=-3.943， P<0.05）， triglyceride （Z=2.070， P<0.05）， and high-density lipoprotein cholesterol （t=3.867， P<0.05）. A total of 3 559 proteins were identified by DIA serum proteomics， among which 160 differentially expressed proteins were mainly enriched in pathways including metabolic disorders， immune inflammatory response， and extracellular matrix remodeling. The PPI network and the Hub node analysis showed that serpin family E member 1， MMP-9， and intercellular cell adhesion molecule-1 were core regulatory proteins. WGCNA showed that the MEyellow module was significantly positively correlated with MAFLD phenotype （cor=0.55， P<0.001）， which was functionally enriched in the efferocytosis pathway. MERTK （P<0.001） and MMP-9 （P<0.001） showed the most significant differential expression in this module. A rat model of MAFLD was successfully established using a high-fat diet， and compared with the control group， the model group had enlarged， yellowish， and greasy liver and disordered structure of hepatic lobules， hepatocyte fatty degeneration， and inflammatory cell infiltration based on HE staining， as well as massive lipid droplet deposition based on oil red O staining， while no obvious fibrous cords were observed in Masson staining. Compared with the control group， the model group had significant increases in the serum levels of aspartate aminotransferase （t=-5.148， P<0.05）， alanine aminotransferase （t=-5.663， P<0.05）， total bilirubin （t=-13.061， P<0.05）， triglyceride （Z=-2.722， P<0.05）， total cholesterol （t=3.588， P<0.05）， and tumor necrosis factor-α （t=-16.741， P<0.05）， as well as significant increases in the protein expression levels of MERTK （t=-11.448， P<0.001） and MMP-9 （t=-10.875， P<0.001） in liver tissue. ConclusionMMP-9 and MERTK are abnormally expressed in MAFLD and may be used as potential diagnostic biomarkers for this disease.

Lung cancer is the leading cause of cancer-related deaths worldwide. While modern medical therapies such as surgery， chemotherapy， and radiotherapy have achieved progress， they often come with severe side effects and drug resistance. Traditional Chinese medicine （TCM）， characterized by its multi-component， multi-target， and holistic regulatory properties， plays a significant role in the adjunctive treatment of lung cancer. It offers unique advantages in alleviating clinical symptoms， enhancing patients' quality of life， prolonging survival， and enhancing efficacy while reducing toxicity， serving as an important therapeutic modality for lung cancer. The theory of cancer-toxin pathogenesis proposes that phlegm-toxin is a key pathogenic factor in lung cancer， with phlegm-toxin mutual entanglement being the core pathogenesis of lung cancer. The pathogenic characteristics-viscosity， dispersion， and damage to the healthy Qi-of phlegm-toxin are closely related to the accumulation of acidic metabolic products， tumor invasion and metastasis， and immune suppression during the course of lung cancer. Phlegm resolving and toxin clearing are the core therapeutic methods for lung cancer. Such prescriptions possess dual functions of resolving phlegm and dissipating mass， as well as inhibiting tumor and detoxifying. They exert antitumor effects through multiple pathways， including regulating metabolic reprogramming of glucose and lipids， improving the acidic microenvironment of tumors， and inhibiting inflammatory signaling pathways. This paper systematically reviews the current clinical application status and mechanisms of phlegm-resolving and detoxifying Chinese herbal medicines. By integrating the theory of cancer-toxin pathogenesis with modern pharmacological research findings， this paper explores their application in lung cancer treatment and establishes a clinical application system for phlegm-resolving and detoxifying therapies in lung cancer based on phlegm-toxin pathogenesis. This system integrates ancient and modern experiences with contemporary mechanisms， aiming to provide theoretical foundations and practical references for integrated traditional and Western medicine diagnosis， treatment， and drug development for lung cancer and other conditions.

Objective:To study the feasibility of design and harvest of free medial sural artery perforator flap with the "two-point and two-line method".Methods:From September 2022 to June 2023, Suzhou Ruihua Orthopaedic Hospital implemented the "two-point and two-line method" to guide preoperative perforator positioning and flap design. Thirty medial sural artery perforator flaps were successfully harvested with the method, and 21 wounds of hand and 9 of foot and ankle were reconstructed with the flaps. The size of soft tissue defects were 2.5 cm×2.5 cm-7.0 cm×14.5 cm, and the flaps size were 3.0 cm×3.0 cm-7.5 cm×15.0 cm. All donor sites were directly closed or by skin grafting. All patients were entered in 6-15 months of postoperative outpatient follow-up, and the recovery of donor and recipient sites was assessed by the comprehensive evaluation scales. The sensory function of the flaps was evaluated using the sensory function evaluation standard of British Medical Research Council (BMRC).Results:All perforators were successfully located with 47 perforators in total, and all of them were musculocutaneous perforator. It was found that there was 1 perforator in 14 flaps, 2 perforators in 15 flaps and 3 perforators in 1 flap. All 30 flaps survived after surgery, beside 2 flaps that had arterial insufficiency but survived successfully after surgical exploration. All donor sites healed in one stage. Comprehensive evaluation scale of flap was employed to evaluate the flaps and the scores were 84 points to 96 points with an average score of 92.5 points. The excellent and good grades were achieved in 27 flaps and 3 flaps, respectively, with a combined excellent and good rate at 100%. Sensation of the flaps was evaluated by BMRC with 1 flap of S 1, 17 of S 2 and 12 of S 3. Conclusion:The "two-point and two-line method" has been used in design of the perforator flap of medial sural artery. This method is simple and accurate, and is feasible and ideal in design of flaps before surgery.

Objective:To study the application value of analytic hierarchy process(AHP)-risk analysis management strategy in management for medical equipment of hospital,so as to improve utilization efficiency of equipment.Methods:A decision model of managing equipment was established by adopting AHP-risk analysis management strategy,and Entropy method was used to optimize and improve the combined weight of AHP algorithm,so as to obtain the comprehensive weight of classification decision for medical equipment.The equipment was classified into high risk,second highest risk,medium risk,second lowest risk and low risk to receive different management strategy.A total of 103 medical equipment in clinical use at People's Hospital of Xinjiang Uygur Autonomous Region from January 2023 to February 2024 were selected,and the conventional management method was adopted to manage these equipment during January 2023 and July 2024,and AHP-risk analysis management strategy was adopted to manage them during August 2023 and February 2024.The differences of the management effects of medical equipment in clinical use,and technical support for equipment between two management methods were compared.Results:The average use rate,rate of growth amplitude of cost-effectiveness,and rate of growth amplitude of social benefit of equipment of using the AHP risk analysis management method were respectively(95.34±3.75)%,(7.65±2.18)%,and(10.81±2.42)%,all of which were higher than those of the conventional management method.However,the average relative operating rate and relative turnover rate of using the AHP risk analysis management method were respectively(9.26±2.46)%and(10.63±2.07)%,all of which were lower than those of the conventional management method,and the differences were statistically significant(t=9.223,24.681,17.813,15.764,18.873,P<0.05).The average self-repair rate,upgrade efficiency,and coincidence rate of scrapping equipment of using the AHP-risk analysis management method were respectively(91.54±4.25)%,(94.52±3.77)%,and(93.53±4.72)%,all of which were higher than those of the conventional management method.However,the average failure rate of that was(0.74±0.38)%,which was lower than the average failure rate of the conventional management method,and the differences of them were statistically significant(t=8.445,9.624,14.046,22.794,P<0.05).Conclusion:The AHP-risk analysis management strategy can improve the management effect of clinical use of medical equipment,and the technical support for medical equipment,and enhance usage and maintenance efficiency of equipment,and achieve refined management for medical equipment.

Objective To investigate the correlation of vascular senescence indicators,brachial-ankle pulse wave velocity(baPWV),cardio-ankle vascular index(CAVI),ankle-brachial index(ABI)with total burden of MRI in patients with cerebral small vessel disease(CSVD).Methods A total of 200 CSVD patients admitted to our hospital from November 2023 to October 2024 were retrospectively recruited,and based on their total MRI burden,they were divided into a low-burden group(score:0-1,103 cases)and a high-burden group(score:2-4,97 cases).A athero-sclerosis monitoring device(VS-1500A)was used to detect baPWV,CAVI,and ABI values.The relationships of the three indicators with total MRI burden score and their predictive values for the burden score were analyzed.Results The high-burden group had significantly higher BMI,el-evated homocysteine and uric acid levels,and increased baPWV and CAVI,but lower ABI than the low-burden group(P＜0.01).Multivariate logistic analysis showed that baPWV,CAVI and ABI were independent influencing factors for high MRI burden of CSVD patients.Spearman correlation analysis showed that baPWV and CAVI values were positively correlated(r=0.589,P=0.000;r=0.458,P=0.000),and ABI was negatively correlated with the total MRI burden score of CSVD patients(r=-0.352,P=0.000).ROC curve analysis showed that baPWV(AUC=0.816,P=0.000),CAVI(AUC=0.725,P=0.000)and ABI(AUC=0.676,P=0.000)were all predic-tors for high MRI burden score in CSVD patients.Conclusion baPWV and CAVI are positively,and ABI is negatively correlated with the total MRI burden score of CSVD patients.baPWV,CAVI and ABI show higher predictive value for the high burden score,with baPWV most significant.

OBJECTIVE To explore the implementation and standardized management of infection control core ele-ments in grass-roots medical institutions within county-level medical communities.METHODS From Mar.2024 to Apr.2024,the current status of implementation of infection control core elements in the grass-roots medical institu-tions within county-level medical communities was investigated by means of questionnaire survey and qualita-tive interview,and the implementation strategies were further explored.RESULTS The infection management or-ganizational system and functions of the two county-level medical institutions within the county medical communi-ties were completed,there is no independent hospital infection management department in the primary medical in-stitutions.The infection management personnel in the 16 grass-roots medical institutions were part-time person-nel,the personnel with the educational background below junior college accounted for 84.21％,the personnel with the professional background of nursing accounted for 100.00％,the personnel with less than 5 years of working experience accounted for 78.95％,none of them had an on-the-job training certificate.The monitoring programs of the county-level medical institutions within the county medical communities were completed,there was no infec-tion management monitoring information platform in the grass-roots medical institutions.The infection cases,hand hygiene,environmental health and occupational exposures were monitored by people.The grass-roots medi-cal institutions had the highest requirements for various professional trainings and increase of training contents of prevention and control of public health infectious diseases(100.00％).The county-level medical institutions had inadequate capabilities of professional examination of medical equipment replacement and construction of medi-cal architecture.CONCLUSION It is necessary for the country and local levels of governments to attach great importance to the implementation of the infection control core elements in the grass-roots medical institutions within the county-lev-el medical communities,establish the county-level regional information platform,formulate the corresponding surveil-lance indexes and homogenized management systems,complete the cultivation of talents,and offer financial support.

Objective:To explore the construction of an evaluation model for aortic root anatomy and calcium burden in patients with bicuspid aortic valve (BAV) stenosis before transcatheter aortic valve replacement (TAVR) based on deep learning (DL) algorithms.Methods:A retrospective collection of 362 BAV stenosis patients who underwent TAVR from September 2023 to May 2024 was performed. All patients underwent cardiac CT angiography. The patients were divided into training group ( n=104), internal validation group ( n=206), and external validation group ( n=52). A DL model was trained on the training dataset to assess aortic root anatomy and calcification burden. The evaluation included the segmentation accuracy of the algorithm, the measurement performance of key anatomical structures (i.e., valve leaflets and type-1 and type-2 fusion raphe), and calcification burden, as well as the measurement efficiency. Overall segmentation performance was assessed using the average Dice coefficient (ADC). The fine-scale segmentation quality was validated by the 95th-percentile Hausdorff distance (HD-95) and the average symmetric surface distance (ASSD). The consistency of the measurement results was assessed using the Pearson correlation coefficient and the intraclass correlation coefficient ( ICC) with a two-way mixed model for absolute agreement. In addition, the total time and total mouse movement distance required for manual assessment versus the DL model on the validation datasets were recorded and compared. Results:The algorithm demonstrated excellent segmentation performance on aortic root anatomical targets, achieving outstanding consistency within both internal and external validation datasets (0.955

OBJECTIVE: To precise classify sacral meningeal cysts, effective guide minimally invasive neurosurgery and postoperative personalized rehabilitation by multiple dimensions radiographic reconstruction MRI. METHODS: From March to December 2021, based on the original 3D-fast imaging employing steadystate acquisition (FIESTA) scanning sequence, 92 patients with sacral meningeal cysts were pre-operatively evaluated by multiple dimensional reconstruction MRI. The shape of nerve root and the leakage of cyst were reconstructed according to the direction of nerve root or leakage track showed on original MRI scans. Sacral canal cysts were accurately classified as including nerve root and without nerve root, so as to accurately design the incision of skin and formulate corresponding open range of the posterior wall of the sacral canal. Under the microscope intraoperation, the shape of the nerve roots inside cysts or leakage track of the cysts without nerve roots were verified and explored. After the reinforcement and shaping operation, several reexaminations of multiple dimensional reconstruction MRI were performed to understand the deformation of the nerve root and hydrops in the operation cavity, so as to formulate a persona-lized rehabilitation plan for the patients. RESULTS: Among the 92 patients with sacral mengingeal cyst, 58 (63.0%) cysts with nerve root cyst, 29 (31.5%) cysts without nerve root cyst, and 5 (5.4%) cysts with mixed sacral canal cyst. In 58 patients with nerve root cysts, the accuracy of preoperative clinical classification on MRI image reached 96.6% (56/58) through confirmation by operating microscope. Only 2 cases of large single cyst with nerve root on the head of cyst were mistaken for without nerve root type. In 29 patients with sacral cyst without nerve root, the accuracy of preoperative image reached 100% through confirmation by operating microscope. The accuracy of judging the internal nerve root and leakage of 12 cases with recurrent sacral cyst was also 100%. Two cases of delayed postoperative hydrops were found one month after operation. After rehabilitation treatment by moxibustion and bathing, the hydrops disappeared 4-6 months after operation. CONCLUSION Multiple dimensional reconstruction MRI can precisely make clinical classification of sacral meningeal cysts before operation, guide minimally invasive neurosurgery effectively, and improve the rehabilitation effect.
Humans ; Magnetic Resonance Imaging/methods* ; Male ; Female ; Sacrum/surgery* ; Adult ; Middle Aged ; Imaging, Three-Dimensional/methods* ; Cysts/rehabilitation* ; Aged ; Adolescent ; Young Adult ; Spinal Nerve Roots/diagnostic imaging* ; Minimally Invasive Surgical Procedures ; Neurosurgical Procedures/methods*

Idiopathic pulmonary fibrosis (IPF) is a progressive disease lacking effective therapy. Metformin, an antidiabetic medication, has shown promising therapeutic properties in preclinical fibrosis models; however, its precise cellular targets and associated mechanisms in fibrosis resolution remain incompletely defined. Most research on metformin's effects has focused on mesenchymal and inflammatory responses with limited attention to epithelial cells. In this study, we utilized Sftpc lineage-traced and Fgfr2b conditional knockout mice, along with BMP2/PPARγ and AMPK inhibitors, to explore metformin's impact on alveolar epithelial cells in a bleomycin-induced pulmonary fibrosis model and cell culture. We found that metformin increased the proliferation and differentiation of alveolar type 2 (AT2) cells, particularly the recently identified injury-activated alveolar progenitors (IAAPs)-a subpopulation characterized by low SFTPC expression but enriched for PD-L1. Single-cell RNA sequencing revealed a reduction in apoptosis among mature AT2 cells. Interestingly, metformin's therapeutic effects were not significantly affected by BMP2 or PPARγ inhibition, which blocked the lipogenic differentiation of myofibroblasts. However, Fgfr2b deletion in Sftpc lineage cells significantly impaired metformin's ability to promote fibrosis resolution, a process linked to AMPK signaling. In conclusion, metformin alleviates fibrosis by directly activating AT2 cells, especially the IAAPs, through a mechanism that involves AMPK and FGFR2b signaling, but is largely independent of BMP2/PPARγ pathways.