This paper systematically elaborates on the key points of diagnosis and differential diagnosis of salivary gland tumors characterized by a substantial amount of extracellular mucus as a main or prominent feature, and clarifies the core differential features. The term "mucus-rich" specifically denotes that mucus is a major component of the tumor, rather than a focal or minor one. This phenomenon is associated with distinct histogenetic mechanisms: it may result from specific genetic mutations (e.g., AKT1 E17K in mucinous adenocarcinoma) that drive ductal epithelial differentiation into mucus-secreting cells, or from myoepithelial cells secreting glycosaminoglycans that form a myxoid stroma. Salivary gland tumors with abundant extracellular mucus include mucinous cystadenoma, sialadenoma papilliferum-like intraductal papillary tumors, mucinous myoepithelioma, pleomorphic adenoma with mucin-rich stroma, mucinous adenocarcinoma, low-grade mucoepidermoid carcinoma, mucin-rich salivary duct carcinoma and intestinal-type adenocarcinoma. The diagnosis of these tumors is complicated by the dual nature of extracellular mucus: while it is a defining feature of some entities, it can also obscure key diagnostic architectural features in others, leading to histological overlap and inconspicuous diagnostic areas. Given the frequent histological morphological overlap among these tumors, immunohistochemical findings and molecular characteristics have emerged as crucial differential diagnostic criteria. Core differential diagnostic points include the following: histologically, there must be meticulous identification of typical structures obscured by mucin (such as squamoid cells in mucoepidermoid carcinoma and apocrine features in salivary duct carcinoma); in immunohistochemical staining, CK20 is useful for distinguishing intestinal-type adenocarcinoma (positive) from mucinous adenocarcinoma (negative), while androgen receptor aids in differentiating salivary duct carcinoma (positive) from mucoepidermoid carcinoma (negative); and molecular testing plays a critical role in definitive diagnosis (e.g., the AKT1 E17K mutation for mucinous adenocarcinoma, MAML2 rearrangement for mucoepidermoid carcinoma, and MEF2C::SS18 fusion for microsecretory adenocarcinoma). This paper systematically summarizes the core pathological features and differential diagnostic points of mucin-rich salivary gland tumors, aiming to provide a practical reference for clinical pathological diagnosis.

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 reports on the obligatory parasitism of water mites Arrenurus sp. on Anopheles messeae at the Manzhouli Port, Inner Mongolia, China. Methods Duing July 2024, a survey on the mosquito diversity was conducted at the Manzhouli Port. Captured mosquitoes and their ectoparasites were identified to species level. Results A total of 1840 adult mosquitoes were collected, representing species from three genera: Culex(Cx. modestus, Cx. pipiens pallens), Aedes(Ae. dorsalis, Ae. flavidorsalis, Ae. flavescens), and Anopheles (An. messeae). Among all the mosqutioes specimens,3 out of 150 captured An. messeae were found to carry ectoparasitic mites, with number of 2,4,27 mites separately. Morphological and molecular identification reached the same result as water mites(Hydrachnidiae, Hydracrina). COI gene sequence showed 94% similarity with the closest species Arrenurus truncatellus. Conlusions Literature review suggests water mites are host-specific parasitism of mosquito species and herein with the first record of Arrenurus sp. parasiting on An. Messeae in the most high-latitude region globally.

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.

BACKGROUND:Increasing evidence supports the association between different exercise intensities and the risk of osteoarthritis,but this may be affected by confounding and reverse causality,and the conclusions have not been unified. OBJECTIVE:To explore the causal association between different exercise intensities and osteoarthritis using Mendelian randomization method. METHODS:Data from genome-wide association studies associated with different exercise intensities were selected,and instrumental variables were screened with a threshold of P＜5×10-8.Causal associations between exposure and risk of outcome were assessed using five analysis methods of Mendelian randomization with inverse variance weighting as the primary analysis method.Selected instrumental variables were used to assess causal associations between different exercise intensities and osteoarthritis,and sensitivity analyses with inverse Mendelian randomization were performed. RESULTS AND CONCLUSION:In the analysis results of the inverse variance weighting method,low-intensity exercise showed a significant protective effect on knee osteoarthritis[odds ratio(OR)=0.14,95%confidence interval(CI):0.06-0.32,P＜0.001],while sedentary behavior without exercise intensity,such as watching TV,was confirmed to be a risk factor for knee osteoarthritis and hip osteoarthritis(OR=2.24,95%CI:1.74-2.88,P＜0.001;OR=1.34,95%CI:1.01-1.78,P=0.04).Through the reverse Mendelian randomization analysis of osteoarthritis to different exercise intensities,it was found that osteoarthritis was negatively correlated with low-intensity exercise and positively correlated with watching TV.The analysis results show that there is a two-way causal relationship between different exercise intensity and osteoarthritis risk.

Objective:In this study, we aimed to investigate the short-term efficacy and safety of perioperative administration of the PD-1 inhibitor tislelizumab combined with the SOX regimen (oxaliplatin plus S-1) in patients with locally advanced gastric cancer, and to identify factors influencing therapeutic outcomes.Methods:In this retrospective cohort study, we analyzed clinical data of 166 patients who had undergone perioperative therapy and D2 radical gastrectomy in the Department of General Surgery, First Medical Center of Chinese PLA General Hospital between September 2021 and September 2023. The cohort comprised 140 men and 26 women, of median age 62 years (range: 30-75). The patients were allocated to two groups: 62 receiving tislelizumab plus SOX (combination therapy group), and 104 SOX alone (chemotherapy-only group). Primary outcomes included pathological complete response rate, treatment-related adverse events, and complications of surgery. Secondary outcomes comprised major pathological response rate, tumor regression grade (Grades 1-2 denoting favorable response, Grade 3 moderate, and Grades 4-5 poor response), R0 resection rate, and short-term survival outcomes (1-year disease-free and overall survivals). Risk factors associated with pCR in the combination group were also analyzed.Results:The combination therapy group exhibited significantly higher rates of pCR (25.8% vs. 8.7%, χ 2=8.93, P=0.003) and Grade 1 tumor regression (25.8% vs. 16.3%, χ 2=15.32, P=0.001) than the chemotherapy-only group. There were no statistically significant differences in major pathological response rates (41.9% vs. 39.4%), R0 resection rates (96.8% vs. 97.1%,), treatment- related adverse events (48.4% vs. 42.3%,), surgical complications (9.7% vs. 12.5%), 1-year disease-free survival (82.3% vs. 78.8%), or 1-year overall survival (93.5% vs. 91.3%), There were no statistically significant differences (all P>0.05). Multivariate logistic analysis identified neural invasion as an independent risk factor for reduced pCR in the combination group (OR=0.10, 95%CI:0.01-0.85, P=0.035). Conclusions:Perioperative tislelizumab combined with SOX chemotherapy improves pathological response rates in patients with locally advanced gastric cancer and has favorable short-term efficacy and safety profiles. Neural invasion may diminish the therapeutic efficacy of immunotherapy.

Objective:To analyze the changes in serum levels of neurofilament light chain(NFL),binding protein S100 β(S100 β),and C-reactive protein(CRP)in patients with cognitive impairment after cardiac surgery,and to analyze the correlation between these indicators and patient prognosis.Methods:124 patients with heart disease who underwent surgical treatment from January 2022 to January 2025 were selected.One week after surgery,the patients were evaluated using the Montreal Cognitive Assessment Scale(MoCA).60 patients with MoCA scores＜26 were divided into the cognitive impairment group,and 64 patients with MoCA scores ≥ 26 were divided into the non cognitive impairment group.Compare the general information of two groups,including changes in serum NFL,S100 β,and CRP levels before and after surgery.Using logistic regression to analyze the influencing factors of cognitive impairment after cardiac surgery.Following a 4-month postoperative follow-up,the cognitive impairment group was assessed using the MoCA score.Patients with a MoCA score＜26 were categorized as having a poor prognosis,while the remaining patients were classified as having a good prognosis.The NfL,S100β,and CRP levels in both groups were compared,and the ROC curve was used to evaluate the predictive value of serum NFL,S100β,and CRP for poor prognosis in patients with postoperative cognitive impairment.Results:There was no significant difference in gender,BMI,education level,comorbidities(hypertension,diabetes),disease type,ASA classification,intraoperative blood loss,intraoperative fluid replacement,and cardiopulmonary bypass time between cognitive impairment group and non-cognitive impairment group(P＞0.05).The cognitive impairment group had a higher incidence of age,anesthesia maintenance time during surgery,no analgesia after operation and agitation during awakening than the non-cognitive impairment group(P＜0.05);There was no significant difference in the levels of serum NFL,S100β,and CRP between the two groups of patients before surgery(P＞0.05).On postoperative day 3,the levels of serum NFL,S100β,and CRP increased in both groups,with the cognitive impairment group being higher than the non cognitive impairment group(P＜0.05);Using cognitive impairment(occurrence=1,no occurrence=0)as the dependent variable,logistic regression analysis showed that age,intraoperative anesthesia maintenance time,agitation during the recovery period,postoperative 3-day NFL,S100 β,CRP were independent influencing factors of cognitive impairment after cardiac surgery(P＜0.05);The serum levels of NFL,S100β,and CRP in the good prognosis group and poor prognosis group were higher than those before surgery,and the NFL,S100 β,and CRP levels in the poor prognosis group were higher than those in the good prognosis group before and after surgery(P＜0.05);Using poor prognosis as positive samples and good prognosis as negative samples,a ROC curve was plotted.The results showed that the sensitivity and specificity of the combined prediction of three indicators before and after surgery for poor prognosis of cognitive impairment in cardiac surgery were higher than those of a single indicator(P＜0.05).Conclusion:The serum levels of NFL,S100β,and CRP are significantly elevated in patients with cognitive impairment after cardiac surgery,and the early postoperative elevation of NFL,S100β,and CRP is a contributing factor to the occurrence of cognitive impairment.Preoperative and early postoperative detection of these indicators can predict the prognosis of patients with cognitive impairment after cardiac surgery.

Bladder cancer is a common malignant tumor in the urinary system.At present,the main treatment methods include surgery and drug therapy.Although surgical treatment has shown remarkable effects,the prognosis and quality of life of patients still need to be improved.In recent years,immunotherapy has developed rapidly,with programmed cell death-1(PD-1)/programmed cell death-ligand-1(PD-L1)emerging as particularly prominent targets.In order to deeply understand the potential of PD-1/PD-L1 inhibitors in the treatment of bladder cancer and provide new ideas for the treatment of bladder cancer,this study reviewed the research progress of PD-1/PD-L1 inhibitors in the field of bladder cancer.

Objective To explore surgical treatment efficacy for PAES.Methods A retrospective analysis was done on 12 PAES patients'surgery in our hospital from March 2018 to December 2023.Surgical plans included double popliteal artery exploration and repositioning with tendon transplantation,popliteal artery and vein release plus arterial thrombus removal,popliteal fossa exploration with popliteal artery release,and autologous vein patch angioplasty plus abnormal muscle bundle resection.Results Follow-up was 3 months to 5 years.11 patients had good affected limb skin temperature and blood supply,no symptom recurrence.One patient had left lower limb skin temperature decrease and pallor 2 years post-op(diagnosed as left popliteal fossa traumatic neuroma compressing popliteal artery),with blood supply restored after tumor removal.Conclusion Open surgery(tendon transplantation,vein patch)for PAES is effective.

Artificial intelligence(AI)has emerged as a cutting-edge technology leading the future and is a key engine for China's development.In the innovation and research of medical devices,AI has provided critical support in the areas of intelligent diagnostic assistance,intelligent therapeutic assis-tance,intelligent monitoring,life support,et al.Ma-chine learning-enabled device software functions(ML-DSFs)have become an essential component of many medical devices.Recently,the United States Food and Drug Administration(FDA)released a draft guidance titled"Marketing Submission Rec-ommendations for a Predetermined Change Con-trol Plan for Artificial Intelligence/Machine Learn-ing(AI/ML)-Enabled Device Software Functions(Draft)."that aimed to provide a forward-looking approach to foster the development of ML medical devices.By supporting iterative updates through modifications,this approach ensures the continu-ous safety and effectiveness of the devices.This guidance represents the latest in regulatory direc-tion and is especially beneficial for enhancing the quality and efficiency of clinical trials for AI prod-ucts.Therefore,we plan to provide a detailed intro-duction and interpretation of the guidance,with the aim of learning from international advanced regulatory concepts and experiences to promote the development of ML-DSFs with more profound international influence.