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.

Background As a traditional labor-intensive industry, the manufacturing sector is an important source of occupational exposure to hazards such as dust, toxic chemicals, and noise. Objective To analyze the current status and spatiotemporal patterns of occupational hazards including dust, toxic chemicals, and noise in manufacturing workplaces in Shanghai from 2020 to 2025, and to provided evidence for optimizing targeted prevention and control strategies. Methods Workplace monitoring data for manufacturing enterprises in Shanghai were obtained from the National Occupational Hazard Factor Monitoring System for Workplaces. Descriptive analyses were conducted to evaluate the exceedance rates of occupational hazard factors related to occupational exposure limits. GeoDa software was utilized to perform spatial autocorrelation analysis of hazard-specific exceedance rates to identify spatial clustering patterns. Results From 2020 to 2025, the number of monitored manufacturing enterprises in Shanghai increased from 374 to 504. The monitored enterprises were mainly small and micro enterprises located in suburban areas. Over the six-year period, the exceedance rate for dust-exposed work posts decreased from 21.05% to 10.03%, whereas the exceedance rate for chemical toxicant-exposed work posts remained below 3%. Noise showed the highest and most persistent exceedance rate remaining over 20% throughout the study period. Spatial autocorrelation analysis indicated that high-high clusters of dust hazards were consistently concentrated in suburban districts, including Qingpu, Jinshan, and Songjiang. The spatial pattern of chemical toxicant hazards changed over time, with high-low clusters later concentrated in Baoshan and Minhang. High-high clusters of noise hazards showed an expanding pattern, spreading from Qingpu and Songjiang to several other districts, including Jiading, Minhang, and Fengxian. Conclusion Occupational hazards in the manufacturing sector of Shanghai are mainly characterized by exceedances related to dust and noise, with noise emerging as the most persistent and spatially expanding monitored hazard. These hazards exhibit clear spatial heterogeneity: dust-related risks are concentrated in traditional industrial areas, chemical toxicant risks change dynamically with the spatial distribution of industries, and noise-related risks expand across multiple districts. Future occupational interventions should prioritize noise control and implement targeted prevention strategies based on spatial clustering characteristics.

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 systematically evaluate the risk prediction models for anastomotic leakage (AL) in patients with esophageal cancer after surgery. Methods A computer-based search of PubMed, EMbase, Web of Science, Cochrane Library, Chinese Medical Journal Full-text Database, VIP, Wanfang, SinoMed and CNKI was conducted to collect studies on postoperative AL risk prediction model for esophageal cancer from their inception to October 1st, 2023. PROBAST tool was employed to evaluate the bias risk and applicability of the model, and Stata 15 software was utilized for meta-analysis. Results A total of 19 literatures were included covering 25 AL risk prediction models and 7373 patients. The area under the receiver operating characteristic curve (AUC) was 0.670-0.960. Among them, 23 prediction models had a good prediction performance (AUC>0.7); 13 models were tested for calibration of the model; 1 model was externally validated, and 10 models were internally validated. Meta-analysis showed that hypoproteinemia (OR=9.362), postoperative pulmonary complications (OR=7.427), poor incision healing (OR=5.330), anastomosis type (OR=2.965), preoperative history of thoracoabdominal surgery (OR=3.181), preoperative diabetes mellitus (OR=2.445), preoperative cardiovascular disease (OR=3.260), preoperative neoadjuvant therapy (OR=2.977), preoperative respiratory disease (OR=4.744), surgery method (OR=4.312), American Society of Anesthesiologists score (OR=2.424) were predictors for AL after esophageal cancer surgery. Conclusion At present, the prediction model of AL risk in patients with esophageal cancer after surgery is in the development stage, and the overall research quality needs to be improved.

OBJECTIVE: To evaluate the clinical efficacy and safety of Yangxue Qingnao Pills (YXQNP) combined with amlodipine in treating patients with grade 1 hypertension. METHODS: This is a multicenter, randomized, double-blind, and placebo-controlled study. Adult patients with grade 1 hypertension of blood deficiency and Gan (Liver)-yang hyperactivity syndrome were randomly divided into the treatment or the control groups at a 1:1 ratio. The treatment group received YXQNP and amlodipine besylate, while the control group received YXQNP's placebo and amlodipine besylate. The treatment duration lasted for 180 days. Outcomes assessed included changes in blood pressure, Chinese medicine (CM) syndrome scores, symptoms and target organ functions before and after treatment in both groups. Additionally, adverse events, such as nausea, vomiting, rash, itching, and diarrhea, were recorded in both groups. RESULTS: A total of 662 subjects were enrolled, of whom 608 (91.8%) completed the trial (306 in the treatment and 302 in the control groups). After 180 days of treatment, the standard deviations and coefficients of variation of systolic and diastolic blood pressure levels were lower in the treatment group compared with the control group. The improvement rates of dizziness, headache, insomnia, and waist soreness were significantly higher in the treatment group compared with the control group (P<0.05). After 30 days of treatment, the overall therapeutic effects on CM clinical syndromes were significantly increased in the treatment group as compared with the control group (P<0.05). After 180 days of treatment, brachial-ankle pulse wave velocity, ankle brachial index and albumin-to-creatinine ratio were improved in both groups, with no statistically significant differences (P>0.05). No serious treatment-related adverse events occurred during the study period. CONCLUSIONS Combination therapy of YXQNP with amlodipine significantly improved symptoms such as dizziness and headache, reduced blood pressure variability, and showed a trend toward lowering urinary microalbumin in hypertensive patients. These findings suggest that this regimen has good clinical efficacy and safety. (Registration No. ChiCTR1900022470).
Humans ; Amlodipine/adverse effects* ; Drugs, Chinese Herbal/adverse effects* ; Male ; Female ; Hypertension/complications* ; Middle Aged ; Treatment Outcome ; Drug Therapy, Combination ; Adult ; Blood Pressure/drug effects* ; Double-Blind Method ; Aged ; Antihypertensive Agents/adverse effects*

OBJECTIVE: To explore the therapeutic effects and underlying mechanisms of Dendrobium officinale (Tiepi Shihu) extract (DOE) on insomnia. METHODS: Forty-two male Sprague-Dawley rats were randomly divided into 6 groups (n=7 per group): normal control, model control, melatonin (MT, 40 mg/kg), and 3-dose DOE (0.25, 0.50, and 1.00 g/kg) groups. Rats were raised in a strong-light (10,000 LUX) and -noise (>80 db) environment (12 h/d) for 16 weeks to induce insomnia, and from week 10 to week 16, MT and DOE were correspondingly administered to rats. The behavior tests including sodium pentobarbital-induced sleep experiment, sucrose preference test, and autonomous activity test were used to evaluate changes in sleep and emotions of rats. The metabolic-related indicators such as blood pressure, blood viscosity, blood glucose, and uric acid in rats were measured. The pathological changes in the cornu ammonis 1 (CA1) region of rat brain were evaluated using hematoxylin and eosin staining and Nissl staining. Additionally, the sleep-related factors gamma-aminobutyric acid (GABA), glutamate (GA), 5-hydroxytryptamine (5-HT), and interleukin-6 (IL-6) were measured using enzyme linked immunosorbent assay. Finally, we screened potential sleep-improving receptors of DOE using polymerase chain reaction (PCR) array and validated the results with quantitative PCR and immunohistochemistry. RESULTS: DOE significantly improved rats' sleep and mood, increased the sodium pentobarbital-induced sleep time and sucrose preference index, and reduced autonomic activity times (P<0.05 or P<0.01). DOE also had a good effect on metabolic abnormalities, significantly reducing triglyceride, blood glucose, blood pressure, and blood viscosity indicators (P<0.05 or P<0.01). DOE significantly increased the GABA content in hippocampus and reduced the GA/GABA ratio and IL-6 level (P<0.05 or P<0.01). In addition, DOE improved the pathological changes such as the disorder of cell arrangement in the hippocampus and the decrease of Nissel bodies. Seven differential genes were screened by PCR array, and the GABA_A receptors (Gabra5, Gabra6, Gabrq) were selected for verification. The results showed that DOE could up-regulate their expressions (P<0.05 or P<0.01). CONCLUSION DOE demonstrated remarkable potential for improving insomnia, which may be through regulating GABA_A receptors expressions and GA/GABA ratio.
Animals ; Dendrobium/chemistry* ; Rats, Sprague-Dawley ; Male ; Sleep Initiation and Maintenance Disorders/blood* ; Plant Extracts/therapeutic use* ; Receptors, GABA-A/metabolism* ; Noise/adverse effects* ; Light/adverse effects* ; gamma-Aminobutyric Acid/metabolism* ; Sleep/drug effects* ; Rats ; Receptors, GABA/metabolism*

Intervertebral disc degeneration (IDD) is largely attributed to impaired endogenous repair. Nucleus pulposus-derived stem cells (NPSCs) senescence leads to endogenous repair failure. Small extracellular vesicles/exosomes derived from mesenchymal stem cells (mExo) have shown great therapeutic potential in IDD, while whether mExo could alleviate NPSCs senescence and its mechanisms remained unknown. We established a compression-induced NPSCs senescence model and rat IDD models to evaluate the therapeutic efficiency of mExo and investigate the mechanisms. We found that mExo significantly alleviated NPSCs senescence and promoted disc regeneration while knocking down thioredoxin (TXN) impaired the protective effects of mExo. TXN was bound to various endosomal sorting complex required for transport (ESCRT) proteins. Autocrine motility factor receptor (AMFR) mediated TXN K63 ubiquitination to promote the binding of TXN on ESCRT proteins and sorting of TXN into mExo. Knocking down exosomal TXN inhibited the transcriptional activity of nuclear factor erythroid 2-related factor 2 (NRF2) and activator protein 1 (AP-1). NRF2 and AP-1 inhibition reduced endogenous TXN production that was promoted by exosomal TXN. Inhibition of NRF2 in vivo diminished the anti-senescence and regenerative effects of mExo. Conclusively, AMFR-mediated TXN ubiquitination promoted the sorting of TXN into mExo, allowing exosomal TXN to promote endogenous TXN production in NPSCs via TXN/NRF2/AP-1 feed-forward circuit to alleviate NPSCs senescence and disc degeneration.

Objective:To analyze the registration status of clinical trials of TCM treatment for functional dyspepsia (FD); To provide references for relevant clinical trial registration and implementation.Methods:The clinical registration trials of TCM for the treatment of FD were retrieved from ChiCTR and clinicaltrials.gov until January 1st, 2025. Excel 2019 was used to extract and analyze study characteristics, including basic information (registration time, country/region, institution, funding source), study features and quality (study type, trial design, phase, number of centers, sample size, interventions, outcome measures, methodological quality, reporting quality), as well as recruitment status and ethical review.Results:A total of 89 registered studies were included. Registration began in 2008 with 3 studies, peaking in 2021 with 14 studies. The studies involved 6 countries, with domestic trials covering 18 provincial-level regions in China and 52 clinical trial institutions. Primary funding sources were national funding and pharmaceutical company support. Most studies were interventional with randomized parallel-controlled designs, commonly using simple randomization. Post-marketing drug trials were the most frequent phase, and single-center trials predominated, involving a total sample size of 19 776 cases. Common interventions included acupuncture/massage and Chinese patent medicines. Frequently used outcome measures were effectiveness rate, symptom evaluation, and quality of life assessment, though issues existed with non-standardized reporting and lack of TCM-specific indicators. Methodological quality needed further improvement.Conclusions:Although the number of registered clinical trials of TCM treatment for FD has increased, the overall quantity remains insufficient. Researchers should emphasize optimization of registration details and study protocols to further enhance registration quality.

In recent years,with the continuous advancement of deep space exploration missions,astronauts have been increasingly exposed to complex and extreme environmental factors in space,such as microgravity,space radiation,circadian rhythm disruption,and confined isolation.These conditions can easily induce brain dysfunction in astronauts,manifesting as cognitive decline,emotional disturbances,sleep disorders,and neuroinflammatory responses.Traditional Chinese Medicine(TCM),characterized by its holistic regulation and syndrome differentiation-based treatment principles,exhibits multi-target regulation and systemic coordination,and has attracted growing attention in the field of brain function protection.This study systematically reviews the protective applications and research progress of TCM and related techniques in both actual spaceflight missions and simulated space environment models against brain functional disorders.The underlying mechanisms and future prospects are discussed,with the aim of providing insights for safeguarding astronauts'brain health and laying a theoretical foundation for the precise intervention and systematic protection strategies of TCM in future deep space missions.

AIM: To explore the relationship between hyperopia reserve and ocular biometric parameters in 4-14 year-old Uyghur students from Hotan County, Xinjiang, and to provide scientific evidence for myopia prevention.METHODS: From September 1 to October 31, 2023, a stratified random cluster sampling method was used to select 3 264 students(3 264 eyes)from 6 schools in Hotan County. Participants underwent uncorrected distance visual acuity testing, cycloplegic refraction, and ocular biometric measurements. The correlation between spherical equivalent(SE)and ocular biometric parameters was analyzed by multiple linear regression.RESULTS: A total of 1 998 non-myopic students(1 998 eyes)were included in the study, with 1 354 students(67.77%)showing insufficient hyperopia reserve. The detection rate of insufficient hyperopia reserve decreased with age, from 94.12% at age 4 to 18.13% at age 14(P<0.001). Multiple linear regression analysis showed that in the group with sufficient hyperopia reserve, age, gender, uncorrected distance visual acuity, axial length(AL), and keratometry(K)explained 66.5% of the variance in SE; while in the group with insufficient hyperopia reserve, these factors explained only 28.0% of the SE variance.CONCLUSION: In non-myopic Uyghur students aged 4-14 in Hotan County, Xinjiang, the detection rate of insufficient hyperopia reserve was 67.77%. In the group with insufficient hyperopia reserve, age, gender, AL, and K explained only a small portion of the SE variance, suggesting that the refractive status of this population may be influenced by more complex factors.