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.

Anal stenosis can be categorized into congenital and acquired types based on etiology. Congenital anal stenosis falls under the spectrum of congenital anorectal malformations， being resulted from abnormal embryonic development. Acquired stenosis is not an independent disease but rather a secondary manifestation of various anorectal conditions or injuries， with primary etiologies being primary tumors and local scar formation in the anorectum. Currently， the diagnosis and treatment for anal stenosis both domestically and internationally face challenges of inconsistent standards and significant variability in management strategies. In particular， there is a lack of systematic guidance on the standard application of diagnosis and treatment models with integrated traditional Chinese and Western medicine. Focusing on cicatricial anal stenosis， this guideline was developed by the project team through a comprehensive process including expert interviews， clinical investigation， evidence retrieval and screening， evidence evaluation， formulation of recommendations， guideline drafting， self-assessment and solicitation of feedback， and professional society review. It is based on the best available evidence-based medical data and fully incorporates expert clinical experience. The guideline aims to standardize the clinical diagnosis and treatment process for cicatricial anal stenosis with integrated traditional Chinese and Western medicine， providing clinicians with standardized management strategies and methods. This document covers the etiology， pathology， diagnostic classification， integrated traditional Chinese and Western medicine treatment， and preventive care. By incorporating the characteristics of syndrome differentiation and treatment in traditional Chinese medicine， it establishes personalized， stepped treatment protocols， thereby benefiting more patients with anal stenosis and improving their quality of life and prognosis.

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.

Objective To explore the recognition capabilities of electronic nose combined with machine learning in identifying the breath odor map of benign and malignant pulmonary nodules and Traditional Chinese Medicine (TCM) syndrome elements. Methods The study design was a single-center observational study. General data and four diagnostic information were collected from 108 patients with pulmonary nodules admitted to the Department of Cardiothoracic Surgery of Hospital of Chengdu University of TCM from April 2023 to March 2024. The patients' TCM disease location and nature distribution characteristics were analyzed using the syndrome differentiation method. The Cyranose 320 electronic nose was used to collect the odor profiles of oral exhalation, and five machine learning algorithms including random forest (RF), K-nearest neighbor (KNN), logistic regression (LR), support vector machine (SVM), and eXtreme gradient boosting (XGBoost) were employed to identify the exhaled breath profiles of benign and malignant pulmonary nodules and different TCM syndromes. Results (1) The common disease locations in pulmonary nodules were ranked in descending order as liver, lung, and kidney; the common disease natures were ranked in descending order as Yin deficiency, phlegm, dampness, Qi stagnation, and blood deficiency. (2) The electronic nose combined with the RF algorithm had the best efficacy in identifying the exhaled breath profiles of benign and malignant pulmonary nodules, with an AUC of 0.91, accuracy of 86.36%, specificity of 75.00%, and sensitivity of 92.85%. (3) The electronic nose combined with RF, LR, or XGBoost algorithms could effectively identify the different TCM disease locations and natures of pulmonary nodules, with classification accuracy, specificity, and sensitivity generally exceeding 80.00%.Conclusion Electronic nose combined with machine learning not only has the potential capabilities to differentiate the benign and malignant pulmonary nodules, but also provides new technologies and methods for the objective diagnosis of TCM syndromes in pulmonary nodules.

The innate immune system can be boosted in response to subsequent triggers by pre-exposure to microbes or microbial products, known as “trained immunity”. Compared to classical immune memory, innate trained immunity has several different features. Firstly, the molecules involved in trained immunity differ from those involved in classical immune memory. Innate trained immunity mainly involves innate immune cells (e.g., myeloid immune cells, natural killer cells, innate lymphoid cells) and their effector molecules (e.g., pattern recognition receptor (PRR), various cytokines), as well as some kinds of non-immune cells (e.g., microglial cells). Secondly, the increased responsiveness to secondary stimuli during innate trained immunity is not specific to a particular pathogen, but influences epigenetic reprogramming in the cell through signaling pathways, leading to the sustained changes in genes transcriptional process, which ultimately affects cellular physiology without permanent genetic changes (e.g., mutations or recombination). Finally, innate trained immunity relies on an altered functional state of innate immune cells that could persist for weeks to months after initial stimulus removal. An appropriate inducer could induce trained immunity in innate lymphocytes, such as exogenous stimulants (including vaccines) and endogenous stimulants, which was firstly discovered in bone marrow derived immune cells. However, mature bone marrow derived immune cells are short-lived cells, that may not be able to transmit memory phenotypes to their offspring and provide long-term protection. Therefore, trained immunity is more likely to be relied on long-lived cells, such as epithelial stem cells, mesenchymal stromal cells and non-immune cells such as fibroblasts. Epigenetic reprogramming is one of the key molecular mechanisms that induces trained immunity, including DNA modifications, non-coding RNAs, histone modifications and chromatin remodeling. In addition to epigenetic reprogramming, different cellular metabolic pathways are involved in the regulation of innate trained immunity, including aerobic glycolysis, glutamine catabolism, cholesterol metabolism and fatty acid synthesis, through a series of intracellular cascade responses triggered by the recognition of PRR specific ligands. In the view of evolutionary, trained immunity is beneficial in enhancing protection against secondary infections with an induction in the evolutionary protective process against infections. Therefore, innate trained immunity plays an important role in therapy against diseases such as tumors and infections, which has signature therapeutic effects in these diseases. In organ transplantation, trained immunity has been associated with acute rejection, which prolongs the survival of allografts. However, trained immunity is not always protective but pathological in some cases, and dysregulated trained immunity contributes to the development of inflammatory and autoimmune diseases. Trained immunity provides a novel form of immune memory, but when inappropriately activated, may lead to an attack on tissues, causing autoinflammation. In autoimmune diseases such as rheumatoid arthritis and atherosclerosis, trained immunity may lead to enhance inflammation and tissue lesion in diseased regions. In Alzheimer’s disease and Parkinson’s disease, trained immunity may lead to over-activation of microglial cells, triggering neuroinflammation even nerve injury. This paper summarizes the basis and mechanisms of innate trained immunity, including the different cell types involved, the impacts on diseases and the effects as a therapeutic strategy to provide novel ideas for different diseases.

Objective To explore the acceptability of routine biochemical test results for serum samples with varying degrees of chylous high triglyceride(TG).Methods Blood samples of 69 patients with different degrees of lipids were collected,including 33 patients with mild to moderate lipids(1.7 mmol/L≤TG<5.6 mmol/L)and 36 patients with severe lipids(TG≥5.6 mmol/L).Twenty-nine biochemical tests were detected before and after high-speed centrifugation.The result acceptability before high speed centrifugation of serum was compared with the results after high speed centrifugation as the gold standard[TG and total cholesterol(TC)before centrifugation].The acceptable criteria were subject to the following three conditions at the same time.Firstly,correlation coefficient(R2)was greater than or equal to 0.95.Secondly,the slope of linear re-gression equation was 1.00±0.05.Thirdly,for the same index,the number of samples whose result bias be-fore and after centrifugation was less than 1/2 total allowable error(TEa)in more than 90%of the total sam-ple numbers.Results Firstly,in the mild to moderate lipemia group,22 tests met the criteria,7 tests did not,including total protein(TP),albumin(ALB),TG,aspartate aminotransferase(AST),carbon dioxide(CO2),α-L-fucosidase(AFU),lactate dehydrogenase(LDH)(bias<10%),and the coincidence rate was 75.9%.In the severe lipemia group,12 tests met the criteria,17 tests did not,including pre-albumin(PA),AFU,γ-glu-tamyltransferase(γ-GT),LDH,AST,TC,direct bilirubin(DBIL),CO2,5'-nucleotidase(5'-NT),small and low-density lipoprotein cholesterol(sd-LDL-C),high density lipoprotein cholesterol(HDL-C),low-density lipoprotein cholesterol(LDL-C),adenosine deaminase(ADA),cystatin C(CysC),glycosylated albumin(GA),total bilirubin(TBIL)(bias>10%),the coincidence rate was 41.4%,and there was a statistically sig-nificant difference in the coincidence rate between the two groups(P<0.05).Secondly,there was no statisti-cally significant difference in the acceptability of results between continuous monitoring method and endpoint method detection methods(P>0.05).Conclusion Most test results of direct determination with mild or moderate lipemia samples are acceptable,and the bias of unacceptable tests is small(<10%),so it is recom-mended to issue a test report without further sample treatment.However,due to the large number of unacceptable tests and larger bias(>10%),severe lipemia samples should be determined after high-speed centrifugation.

Objective:To evaluate the diagnostic performance and safety of endoscopic ultrasound-guided fine needle aspiration(EUS-FNA)for biliary lesions and to investigate the factors influencing its accuracy.Methods:A retrospective analysis was performed on the clinical data of patients who underwent EUS-FNA at Chengdu Third People's Hospital between January 2021 and December 2023 for suspected malig-nant biliary strictures or masses,including 22 males and 19 females,with a mean age of 65.9(35.0-89.0)years.Diagnostic performance(sensitivity,specificity,positive predictive value,negative predictive value,and accuracy)and factors influencing these outcomes were evalu-ated.Results:The overall sensitivity of EUS-FNA for diagnosing biliary lesions was 85%,with a specificity of 100%,positive predictive value of 100%,negative predictive value of 33%,and accuracy of 86%.The use of a 25G needle and the presence of solid masses were significant factors influencing the diagnostic accuracy of EUS-FNA.In contrast,the puncture site did not impact diagnostic performance.No EUS-FNA-re-lated adverse events were observed during the follow-up period.Conclusions:EUS-FNA is highly accurate and safe for the diagnosis of bili-ary lesions.The diagnostic accuracy of EUS-FNA significantly improves when using a 25G needle and in the presence of solid biliary masses.

AIM To explore the effects of Dahuang Lingxian Recipe on Th1/Th2 cell immune imbalance in a rat model of cholestatic liver fibrosis(CLF).METHODS 20 SD rats were randomly divided into the normal group,the model group,the ursodeoxycholic acid group(0.063 g/kg)and the Dahuang Lingxian Recipe group(4.8 g/kg),with 5 rats in each group.Except for those of the normal group,the rats of all other groups had open surgery of common bile duct ligation,followed by the gavage of corresponding drug two days later,and the procurement of the samples after gavage in the third week.The rats had their degree of liver fibrosis observed by HE and Masson stainings;their levels of serum total bile acid(TBA),alkaline phosphatase(AKP),γ-glutamyltransferase(γ-GT),alanine aminotransferase(ALT),aspartate aminotransferase(AST)and total bilirubin(TBil)measured by the kit;their hepatic percentage of TGF-β1,p-Smad2 and p-Smad3 positive cells detected by immunofluorescence and immunohistochemical staining;their.hepatic expressions of TGF-β1,Smad4,NF-κB p65,Collagen Ⅰ and Collagen Ⅲ protein and mRNA detected by Western blot and RT-qPCR;their levels of helper T cell 1(Th1)and helper T cell 2(Th2)in peripheral blood detected by flow cytometry,and their ratio of Th1/Th2 calculated as well.RESULTS Compared with the model group,the groups intervened with either ursodeoxycholic acid or Dahuang Lingxian Recipe displayed well-ordered liver cells,hepatic lobules and hepatic cords;a small amount of fatty degeneration;significantly reduced connective hyperplasia of hepatic fibers;significantly narrowed fibrous cords;a small amount of blue fibrous septa;greatly improved pathological injuries including inflammatory infiltration of central vein and portal area;decreased levels of serum TBA,TBil,AKP,γ-GT,ALT and AST(P＜0.05);decreased hepatic expressions of TGF-β1,p-Smad2 and p-Smad3(P＜0.05);decreased hepatic expressions of TGF-β1,Smad4,NF-κB p65,Collagen Ⅰ and Collagen Ⅲ protein and mRNA(P＜0.05);and increased counts of Th1 cells in peripheral blood,decreased counts of Th2 cells,resultsing increased Th1/Th2 ratio(P＜0.05).And an even better effect was observed in the Dahuang Lingxian Recipe group.CONCLUSION Dahuang Lingxian Recipe can reduce or reverse CLF by inhibiting hepatic stellate cell activation through maintaining Th1/Th2 cell immune balance via the NF-κB/TGF-β1 signaling pathway.

To summarize the nursing experience of a patient with relapsed/refractory diffuse large B-cell lymphoma who suffered from cytokine release syndrome after chimeric antigen receptor T-cell therapy.The main nursing experiences include:implementing emergency care for distributive shock caused by cytokine storm;carrying out the nursing of lung ventilation protection strategies;strengthening detailed skin care;prevention,control and care of hospital-acquired infections in an immunosuppressed state.After active treatment,the patient was transferred to the general ward 9 days later and discharged 27 days later.

Hypertrophic cardiomyopathy (HCM) is a major contributor to cardiovascular diseases (CVD), the leading cause of death globally. HCM can precipitate heart failure (HF) by causing the cardiac tissue to weaken and stretch, thereby impairing its pumping efficiency. Moreover, HCM increases the risk of atrial fibrillation, which in turn elevates the likelihood of thrombus formation and stroke. Given these significant clinical ramifications, research into the etiology and pathogenesis of HCM is intensifying at multiple levels. In this review, we discuss and synthesize the latest findings on HCM pathogenesis, drawing on key experimental studies conducted both in vitro and in vivo. We also offer our insights and perspectives on these mechanisms, while highlighting the limitations of current research. Advancing fundamental research in this area is essential for developing effective therapeutic interventions and enhancing the clinical management of HCM.
Cardiomyopathy, Hypertrophic/physiopathology* ; Humans ; Animals