It is very limited that the benefit of perioperative chemotherapy in early non-small cell lung cancer (NSCLC), and the 5-year survival rate is only 5% higher than surgery. Antibodies that block programmed cell death protein 1/programmed death-ligand 1 significantly improve the survival of advanced NSCLC. The value of immunotherapy in early NSCLC is also being explored. This paper firstly summarized and analyzed the progress of immunotherapy in the perioperative period of NSCLC. Secondly, the safety and feasibility of surgical resection after neoadjuvant immunotherapy were discussed. Finally, the clinical value of different therapeutic efficacy prediction indicators was summarized, in order to clarify the current status of immunotherapy in the perioperative period, so as to improve the clinical benefits of early NSCLC patients.

Objective To explore the application value of three mainstream large language models in the diagnosis, differential diagnosis, and treatment decision support of the primary diseases related to pediatric liver transplantation. Methods Seventy-nine cases of pediatric liver transplantation-related diseases diagnosed through pathological or clinical follow-up data were collected from Renji Hospital, Shanghai Jiao Tong University School of Medicine or published high-quality case reports. These cases covered 25 types of primary diseases such as cholestatic liver disease, metabolic diseases, and tumors. Standardized prompts were used to input the case information into the DeepSeek-R1, ChatGPT-4o and Grok-3 models, and the accuracy of their preliminary diagnosis and differential diagnosis based on basic clinical data was evaluated. The final diagnosis accuracy and the response time after supplementary examination were also assessed, as well as the completeness and rationality of their analysis of disease treatment principles. Results In the initial diagnosis and differential diagnosis stage, the comprehensive accuracy of DeepSeek-R1 was the highest [72.1%, 95% confidence interval (CI) 61.4% - 80.8%], and there was a statistically significant difference in the comprehensive accuracy of the three models for initial diagnosis (P = 0.008). After adding further examination information, the final diagnosis accuracy of the three models increased, with DeepSeek-R1 at 88.6% (95% CI 79.7% - 93.9%), ChatGPT-4o at 87.3% (95% CI 78.2% - 93.0%), and Grok-3 at 78.5% (95% CI 68.2% - 86.1%). There was no statistically significant difference among the three models (P = 0.05). The scores given by experts for the treatment principles showed good consistency (Kappa = 0.769). In addition, the response time of ChatGPT-4o is shorter than that of the other two models [(24 ± 7) s]. Conclusions Large language models demonstrate good efficacy in the diagnosis and treatment decision-making process of various pediatric liver diseases, have a good application prospect for auxiliary diagnosis and decision support, and are expected to help improve the accuracy and efficiency of clinical diagnosis and treatment of pediatric liver transplantation-related primary diseases.

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.

Surgical treatment is one of the key approaches for non-small cell lung cancer (NSCLC). Regular postoperative follow-up is crucial for early detection and timely management of tumor recurrence, metastasis, or second primary tumors. A scientifically sound and reasonable follow-up strategy not only extends patient survival but also significantly improves quality of life, thereby enhancing overall prognosis. This consensus aims to build upon the previous version by incorporating the latest clinical research advancements and refining postoperative follow-up protocols for early-stage NSCLC patients based on different treatment modalities. It provides a scientific and practical reference for clinicians involved in the postoperative follow-up management of NSCLC. By optimizing follow-up strategies, this consensus seeks to promote the standardization and normalization of lung cancer diagnosis and treatment in China, helping more patients receive high-quality care and long-term management. Additionally, the release of this consensus is expected to provide insights for related research and clinical practice both domestically and internationally, driving continuous development and innovation in the field of postoperative management for NSCLC.

Traditional Chinese medicine(TCM)has rich experience in the diagnosis and treatment of epidemics,but the basic con-cepts and diagnosis and treatment strategies of TCM for epidemics have not yet formed a common understanding.This paper preliminar-ily constructs a diagnosis and treatment system of TCM epidemics from the perspective of"type differentiation-stage differentiation-syndrome differentiation"by combing the basic concepts of the etiology,pathogenesis,and identification of epidemics,taking state-target differentiation and treatment as the general principle.First,the epidemics are divided into five types:cold epidemics,warm epi-demics,cold-damp epidemics,damp epidemics,and miscellaneous epidemics;then,according to the overall course of the epidemics,they are divided into four stages:"initial stage-peak stage-extreme stage-relapse stage",the initial stage is the stage of exterior syn-dromes,the peak stage is the stage of heat peak,the extreme stage is the stage of internal closure and external loss,and the relapse stage is the stage of recovery of the healthy qi and retreat of the evil qi;finally,on the basis of staging,combined with the syndrome char-acteristics of various epidemics(five types of background diseases)at different stages,the syndromes are divided demonstratively.Through the construction of a modern diagnosis and treatment system of TCM epidemics,the basic theoretical concepts and basic diag-nosis and treatment strategies of epidemics can be clarified,various new and emerging infectious diseases can be actively responded to,and a diagnosis and treatment plan for a new and emerging infectious disease can be quickly constructed.

Patients with brain tumors frequently experience comorbid sleep disorders,which can impair daytime functioning and significantly impact patient quality of life and prognosis.The clinical manifestations of sleep disorders in brain tumor patients are primarily characterized by insomnia and excessive daytime sleepiness.The underlying mechanisms remain unclear and are likely influenced by multiple factors,including tumor location and type,neurotransmitter abnormalities,and emotional disorders.Both non-pharmacological interventions such as cognitive behavioral therapy and individualized pharmacological treatments can effectively alleviate sleep disorders in brain tumor patients.Moderate exercise may further improve sleep symptoms and long-term outcomes.The current review summarizes and discuss advanced findings regarding clinical manifestations,risk factors,assessment tools,and intervention strategies for sleep disorders comorbid with brain tumors,aiming to enhance clinical understanding and provide references for early identification and management of this comorbidity.

This study was aimed at exploring novel auxiliary diagnostic biomarkers for brucellosis and their potential miR-NA-mRNA regulatory networks.High-throughput sequencing was used to compare miRNA expression differences in serum ex-osomes between patients with brucellosis and healthy controls.Subsequently,RT-qPCR was used to validate the expression of significantly upregulated exosomal miRNAs.The diagnostic value of these miRNAs was assessed with ROC curves,and bioin-formatics analyses were performed to investigate the potential roles of the miRNAs in brucellosis infection.The ROC curve a-nalysis indicated that the area under the curve for exosomal hsa-miR-11400(P＜0.05),hsa-miR-199a-5p(P＜0.05),and hsa-miR-148a-5p(P＜0.05)was 0.79,0.81,and 0.74,respectively.A total of 465 differentially expressed miRNAs and their tar-get genes were predicted,including 25 immune-related target genes,most of which were closely associated with cancer-related proteoglycans,NF-kappa B signaling pathways,and IL-17 signaling pathways.The constructed differentially expressed gene network indicated that the immune genes PLXNA2,IL17RA,PRKCA,CD22,ACVR1B,and CBL might be regulated by hsa-miR-199a-5p and hsa-miR-148a-5p.These findings suggest that exosomal miRNAs might serve as auxiliary diagnostic indicators for brucellosis.Our exosomal miRNA-mRNA regulatory network provides new insights into the pathogenesis and treatment of brucellosis.

Intestinal microecological changes are closely related to liver cirrhosis and cirrhosis-related sarcopenia.Studies has demonstrated that interventions targeting the intestinal microbiota could contribute to the treatment of cirrhosis and cirrhosis-related sarcopenia.Here we reviewed the research progress on the alterations in intestinal microbiota during liver cirrhosis and the underlying mechanisms by which these changes impacted the development of the disease.The potential of microbiota-targeted interventions in both preventing and treating liver cirrhosis and related sarcopenia was also discussed,which might provide valuable insights into clinical diagnosis and management of the disease.

Objective To investigate the impact of adequate lumen preparation on the 12-month primary patency rate of drug-eluting stents(DES)in patients with lower extremity arteriosclerosis obliterans(ASO)and to identify risk and protective factors for in-stent restenosis.Methods A retrospective cohort study was conducted on 141 patients who underwent DES implantation for ASO at the Department of Vascular Surgery of the First Affiliated Hospital of Chongqing Medical University between April 2022 and April 2024.According to post-percutaneous transluminal angioplasty(PTA)dissection grade[severe dissection is defined as type C or higher based on National Heart,Lung,and Blood Institute(NHLBI)criteria]and residual stenosis rate(severe stenosis is defined as≥30%),the patients were categorized into an adequate preparation group(no severe dissection or severe residual stenosis;n=59)and an inadequate preparation group(n=82).DES primary patency at 12 months was assessed by color Doppler ultrasonography or angiography,defined as a peak systolic velocity ratio≤2.4 on duplex ultrasound or angiographic stenosis<50%.Kaplan-Meier analysis was used to compare intergroup differences in DES patency rate and freedom from clinically driven target lesion revascularization(CD-TLR).Multivariate logistic regression analysis was employed to identify risk and protective factors for DES restenosis and to evaluate the risk contributions of post-PTA dissection and residual stenosis to DES restenosis.Results Post-PTA,vascular dissection occurred in 94.3%(133/141)of treated limbs,among which 42.1%(56/133)were severe dissections,and severe residual stenosis was present in 44.0%(62/141)of limbs.Kaplan-Meier analysis revealed that the 12-month primary patency rate was significantly higher in the adequate preparation group than the inadequate group(HR=0.322,95%CI:0.132～0.789,P=0.013),while no significant difference was found in the rate of freedom from CD-TLR(HR=0.608,95%CI:0.187～1.937,P=0.407).Multivariate logistic regression analysis identified adequate lumen preparation(OR=0.228,95%CI:0.069～0.747,P=0.015)and Rutherford category 2～3(OR=0.205,95%CI:0.058～0.725,P=0.014)as independent protective factors against DES restenosis.The patency rate in the subgroup with coexisting severe dissection and residual stenosis was significantly lower than that in the uncomplicated group(55.6%vs 89.8%,P<0.001),with a 7.067-fold increased risk of re-stenosis(95%CI:2.424～20.602,P<0.001).Conclusion Adequate lumen preparation significantly improves the 12-month primary patency rate of DES.It,along with Rutherford category 2～3,serves as an independent protective factor against in-stent restenosis.Concurrent severe dissection and significant residual stenosis should be actively avoided during the procedure.

Due to the poor ionization efficiency and the weak mass spectrometry(MS)intensity of weakly polar substances,direct analysis using the traditional electrospray ionization mass spectrometry(ESI-MS)is a big challenge.In this study,a novel rapid on-site detection method of four prohibited sex hormones in cosmetics was proposed using online derivatization strategy coupled with a miniature mass spectrometer.The target substances in the samples were extracted by a custom-made polyaniline/multi-walled carbon nanotube solid-phase microextraction(SPME)probe.The stirring speed was 200 r/min,the extraction temperature was 40℃,and the extraction time was 2 min.A pulled dual-channel θ borosilicate glass capillary emitter was used as the nano-ESI ion source.The SPME probe was inserted into the channel containing methanol in theθborosilicate glass capillary.When the spray voltage was applied,the four sex hormones were desorbed and formed spray microdroplets,which then collided with the hydroxylamine microdroplets generated from the other channel.The microdroplets of reaction product entered into the miniature mass spectrometer for direct analysis.The limits of detection(LOD)and limits of quantification(LOQ)for the four sex hormones were 10-20 ng/mL and 20-50 ng/mL,respectively.The recoveries were from 84.6%to 107.8%with the relative standard deviations(RSD)from 4.1%to 11.6%.Compared to detection without derivatization,the MS signals of the four target substances were increased by 3 to 15 times.This method was simple,rapid,highly efficient and sensitive,and suitable for on-site rapid analysis of weakly polar sex hormones in cosmetics.