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.

Objective This study aimed to investigate the genetic diversity, differentiation, and population structure of Aedes albopictus across different geographical regions in Shandong Province, and to explore the relationship between genetic diversity and geographical distribution. Methods Between July and August 2024, ten Ae. albopictus populations were sampled from seven cities in Shandong Province. Genomic DNA was extracted from individual mosquitoes, and the mitochondrial cytochrome c oxidase subunit I(COⅠ)gene was amplified using PCR and sequenced. The obtained sequences were verified using BLAST and analyzed with MAFFT, MEGA 11, DnaSP v6.12, Arlequin 3.5, PopART 1.7, STRUCTURE 2.3.4 and the R packages adegenet and vegan to assess genetic diversity and population structure. Results A total of 229 COⅠ sequences(662 bp) was obtained, revealing ten variable sites with no insertions or deletions. The overall base composition showed an AT bias of 67.7%. Haplotype analysis identified 11 haplotypes, with Hap2 being the dominant and most widely distributed haplotype across all populations. Neutrality tests showed significant population expansion only in the Rizhao population. Mantel testing result revealed that geographical distance does not significantly impede gene flow. Overall, genetic differentiation among populations was low, indicating frequent gene flow. When combined with additional samples from Shanghai, Fujian, Guangdong, Yunnan, Hainan and Guangxi, STRUCTURE, UPGMA and DAPC analyses revealed two primary genetic clusters of Ae. albopictus. Conclusions Ae. albopictus populations in Shandong Province exhibit frequent gene flow, low genetic differentiation, and relatively low overall genetic diversity. However, the Rizhao population showed signs of recent expansion, highlighting the need for enhanced surveillance and targeted control measures in this area.

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.

ObjectiveTo explore effect of Xianlian Jiedu prescription on the recurrence of colorectal cancer （CRC） and investigate the related mechanisms. MethodsA postoperative recurrence model was established in 25 Balb/c mice by injecting CT26 cells subcutaneously into the armpit， followed by surgical removal of 99% of the subcutaneous tumor. The mice were randomly divided into model group， low-dose Xianlian Jiedu prescription （XLJDP-L） group （6.45 g·kg^-1·d^-1）， medium-dose Xianlian Jiedu prescription （XLJDP-M） group （12.9 g·kg^-1·d^-1）， high-dose Xianlian Jiedu prescription （XLJDP-H） group （25.8 g·kg^-1·d^-1）， and 5-fluorouracil （5-FU） group （1×10^-3 g·kg^-1·d^-1）. The mice were euthanized after 14 days of continuous intervention， and recurrent tumor tissue was harvested. Hematoxylin and eosin （HE） staining was used to observe pathological and morphological changes in the recurrent tumor tissue. Immunohistochemistry （IHC） was employed to assess the expression of proliferating cell nuclear antigen （Ki67）， vascular endothelial growth factor （VEGF）， and platelet-endothelial cell adhesion molecule （CD31） in recurrent tumor tissue. The Western blot was used to detect the protein expression levels of angiopoietin-2 （ANG-2）， VEGF， phosphorylated-protein kinase B （p-Akt）， protein kinase B （Akt）， phosphorylated-phosphatidylinositol 3-kinase （p-PI3K）， and phosphatidylinositol 3-kinase （PI3K） in recurrent tumor tissue. ResultsBefore treatment， there were no statistical differences in tumor volume， tumor weight， and body mass among the XLJDP-L， XLJDP-M， and XLJDP-H groups and the 5-FU group compared to the model group， indicating model stability. After treatment， compared with those in the model group， the tumor volume and tumor weight in the XLJDP-L， XLJDP-M， and XLJDP-H groups and the 5-FU group were significantly reduced （P<0.01）， showing dose dependency. Meanwhile， there were no significant differences in body weight among the XLJDP-L， XLJDP-M， and XLJDP-H groups and the 5-FU group compared to the model group. HE staining showed that compared with that in the model group， tumor tissue in the XLJDP-L， XLJDP-M， and XLJDP-H groups and the 5-FU group had loosely arranged cells， increased intercellular spaces， small and shriveled nuclei， light staining， fewer mitotic figures and atypical nuclei， and increased necrotic areas. IHC showed that compared with those of the model group， the positive rates of Ki67， VEGF， and CD31 in the recurrent tumor tissue of the XLJDP-L， XLJDP-M， and XLJDP-H groups and the 5-FU group were significantly reduced （P<0.01） in a dose-dependent manner. Western blot results showed that compared with those of the model group， the protein expression levels of ANG-2 and VEGF in the recurrent tumor tissue of the XLJDP-L， XLJDP-M， and XLJDP-H groups and the 5-FU group were significantly downregulated （P<0.05， P<0.01）， and the p-Akt/Akt and p-PI3K/PI3K ratios were significantly decreased in a dose-dependent manner （P<0.05， P<0.01）. ConclusionXianlian Jiedu prescription significantly inhibits the recurrence of CRC in mice after subcutaneous tumor surgery. The mechanism may involve regulating the PI3K/Akt pathway and downregulating key angiogenic proteins such as ANG-2， VEGF， and CD31.

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.

Objective:To assess the professional knowledge proficiency of mainstream large language models (LLMs) in medical laboratory education and to explore their potential as educational aids for medical laboratory technology students.Methods:A comprehensive evaluation was conducted using 400 authentic questions from the 2023 Chinese National Clinical Medical Laboratory Technician Qualification Examination. Five LLMs (Copilot, Grok, Yuanbao, Doubao, and Kimi) were tested through two-round interactions using zero-shot prompting and interaction-optimized prompting strategies. The accuracy of answers and the quality of generated content were evaluated. Performance disparities were analyzed using Cochran's Q test. Content quality was scored through the CLEAR framework (completeness, lack of false information, evidence-based reasoning, appropriateness, relevance).Results:In the first-round test, Doubao achieved the highest overall accuracy rate (375/400). The overall accuracy rates of Doubao and Yuanbao significantly outperformed Copilot and Kimi ( P<0.001). After the second-round interactive optimization, the accuracy rate of Kimi significantly improved ( P<0.05), whereas other LLMs showed slight improvements ( P>0.05). Doubao still had the highest overall accuracy rate (380/400). The overall accuracy rates of Doubao and Yuanbao significantly outperformed Copilot ( P<0.005). Evaluation based on the CLEAR framework revealed that Yuanbao, Doubao, and Kimi significantly outperformed foreign models in the dimensions of evidence-based reasoning ( P<0.003) and completeness ( P<0.05), demonstrating standardized citation of authoritative evidence and superior content quality. Conclusions:The tested LLMs possess extensive medical laboratory knowledge. The accuracy of their answers and the quality of the generated content can be improved through single-question input, specifying evidence requirements, and enabling advanced reasoning functions. Domestic LLMs are comparable to foreign LLMs in terms of accuracy, and have significant advantages in the dimensions of evidence-based reasoning and completeness. LLMs can serve as auxiliary tools for learning professional knowledge in medical laboratory technology.

Objective:To study the expression of serum microRNA (miRNA)-335 and miRNA-375 in patients with papillary thyroid carcinoma (PTC) and their relationship with pathological features and prognosis.Methods:Using a case-control study method, 94 PTC patients admitted to Huaian Hospital of Huaian City from March 2021 to March 2023 were selected as PTC group. Another 73 healthy individuals who underwent physical examinations during the same period were selected as control group. Quantitative real-time PCR was used to determine the relative expression levels of serum miRNA-335 and miRNA-375. PTC patients were followed up until September 30, 2024, and the patient's prognosis was record. The relative expression levels of serum miRNA-335 and miRNA-375 were compared between the two groups, among different pathological features, and among patients with different prognoses. Multivariate logistic regression analysis was performed to identify independent risk factors for prognosis in PTC patients.Results:The relative expression level of serum miRNA-335 in the PTC group (2.35 ± 0.68) was higher than that in the control group (0.98 ± 0.04), while the relative expression level of miRNA-375 (0.65 ± 0.21) was lower than that in the control group (1.01 ± 0.02, P < 0.001). There was no statistically significant differences in the relative expression levels of serum miRNA-335 and miRNA-375 among PTC patients with different tumor diameters, tumor locations, tumor numbers, and vascular invasion ( P > 0.05). The relative expression level of serum miRNA-335 in TNM stages Ⅲ - Ⅳ was higher than that in stages Ⅰ - Ⅱ, while the relative expression level of miRNA-375 in TNM stages Ⅲ - Ⅳ was lower than that in stages Ⅰ - Ⅱ ( P < 0.001). The relative expression level of serum miRNA-335 of patients with lymph node metastasis was higher than that of patients without lymph node metastasis, while the relative expression level of serum miRNA-375 of patients with lymph node metastasis was lower than that of patients without lymph node metastasis ( P < 0.001). The relative expression level of serum miRNA-335 in the poor prognosis group was higher than that in the good prognosis group, while the relative expression level of miRNA-375 in the poor prognosis group was lower than that in the good prognosis group ( P < 0.001). Vascular invasion, lymph node metastasis, high expression of miRNA-335, and low expression of miRNA-375 were all independent risk factors for prognosis in PTC patients ( P < 0.05). Conclusion:Patients with PTC have high serum miRNA-335 expression and low miRNA-375 expression, and the expression of miRNA-335 and miRNA-375 is closely related to TNM staging, lymph node metastasis, and prognosis, which deserves clinical attention.

Objective:To explore the mechanism of how neurocognition affects social functioning through fa-cial emotion recognition in individuals with schizophrenia.Methods:Totally 203 patients with schizophrenia meet-ing the Diagnostic and Statistical Manual of Mental Disorders,Fourth Edition(DSM-IV)diagnostic criteria were re-cruited,with an age of(40±12)years,an initial onset age of(24±8)years,scored(60.4±16.1)points on the Positive and Negative Syndrome Scale.Using the Personal and Social Performance Scale(PSP),the MATRICS Consensus Cognitive Battery(MCCB),and the Facial Emotion Recognition Test(FERT)to assess patients'social functioning,neurocognition,and facial emotion recognition abilities.Results:In the relationship between MCCB fac-tor scores and PSP dimensions scores,happy face recognition showed a mediating effect in socially useful activities dimension(ACME=0.021,P＜0.01),sad(ACME=-0.026,P＜0.05)and surprised face recognition(ACME=-0.017,P＜0.05)showed mediating effects in self-care dimension.Additionally,sad(ACME=-0.025,P＜0.05)and fearful face recognition(ACME=-0.025,P＜0.001)played a mediating role in disruptive and aggres-sive behavior dimensions.Conclusion:Facial emotion recognition in patients with schizophrenia may play a media-ting role in the neurocognitive mechanisms of social dysfunction,with different dimensions of social dysfunction be-ing associated with specific categories of emotions.

Objective:To understand the prevalence of peer-recommended self-HIV testing in men who have sex with men (MSM), and provide clue for identifying key individuals who can promote self-HIV testing.Methods:Data were derived from the self-HIV testing kits application system operated by Shijiazhuang Tongxing Non-Governmental Organization from July 1, 2022 to May 31, 2024. Statistical analysis was conducted by using software SPSS 29.0, and χ2 test was used to analyze differences between groups. Visual analysis of recommendation networks was performed by using software yEd Graph Editor 3.24. Results:A total of 1 574 MSM applied for HIV self-testing kits. The majority of the MSM were unmarried (74.7%), with education level of college or abvoe (65.5%), and employed (53.2%). Among them, 54.8% (862/1 574) reported consistent condom use at each sex in the past three months, while 37.2% (585/1 574) uploaded their HIV test results. Additionally, 53 MSM (3.4%) recommended self-HIV testing to other MSM. Notably, MSM aged ≥30 years and MSM who had occasional condoms use at each sex in the past three months were more likely to recommend self-HIV testing to other MSM. The 53 MSM collectively recommended self-HIV testing to another 740 MSM, the average was 13.9 MSM recommended by 1 MSM. Among MSM who accepted recommendation, 3 HIV-positive cases were identified, indicating that 1 HIV infection was detected by 17.7 recommendations. In the four-round recommendation, 10 MSM participated in more than one round recommendation, all of them were HIV prevention volunteers. Others only participating in one round were common MSM. Eleven MSM recommended self-HIV testing to two or more MSM.Conclusions:Peer-recommendation has high efficiency in the promotion of self-HIV testing, with HIV prevention volunteers serving as the primary force and the common MSM acting as a supportive force. Future efforts should be made to fully use key individuals to promote self-HIV testing.

Objective To observe the value of automated fiber quantification(AFQ)for analyzing relationships of abnormal white matter microstructures and executive dysfunction in children with attention deficit hyperactivity disorder(ADHD).Methods Brain diffusion tensor imaging(DTI)and white matter structure AFQ analysis were prospectively performed on 83 children with ADHD(ADHD group)and 52 healthy children(healthy control[HC]group).The axial diffusivity(AD),radial diffusivity(RD),mean diffusivity(MD),and fractional anisotropy(FA)of complete fiber bundles and respective segments were obtained and compared between groups.Partial correlation analysis was conducted of fiber bundle diffusion parameters and the scores of Swanson Nolan and Pelham-Ⅳ(SNAP-Ⅳ)and behavior rating inventory of executive function(BRIEF)in ADHD group.Receiver operating characteristic curves were applied to assess the efficacy of each diffusion parameter for evaluating ADHD.Results AD and MD of right anterior thalamic radiation(ATR),and AD of right cingulum bundle(CB)in ADHD group were all higher than those in HC group(FWE corrected,all P＜0.000 7).Significant differences of AD of the 54-78 segments of right ATR,MD of the 13-24 and 53-77 segments of right ATR,AD of the 24-26,53-56 and 93-97 segments of right CB,as well as MD of the 72-85 segments of left inferior longitudinal fasciculus(ILF)were found between groups(FWE corrected,all P＜0.001).In ADHD group,AD of 54-78 segments of right ATR were negatively correlated with the attention deficit scores,while of 24-26 segments of right CB were negatively correlated with the emotional control scores.MD of right ATR and some segments,AD of right CB and some segments in ADHD group were positively correlated with the scores of task initiation,planning,organization,monitoring and metacognitive index(all P＜0.05).The area under the curve(AUC)of segmental fiber bundle diffusion parameter and intact fiber bundle diffusion parameter for evaluating ADHD was 0.881 and 0.808,respectively,the former was higher than the latter(Z=2.435,P＜0.05).Conclusion AFQ could be used to analyze relationships of abnormal white matter microstructures and executive dysfunction in ADHD,which could be effectively evaluated based on specific fiber bundle segments.