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.

The major components of Olaflur raw material were characterized using ultra performance liquid chromatography-quadrupole time-of-flight-mass spectrometry(UPLC-Q-TOF/MS).The results revealed that cetyl amine fluoride(C16-AmF),octadecene amine fluoride(C18:1-AmF),and octadecyl amine fluoride(Olaflur)were the main components.The contents of C16-AmF,C18:1-AmF,and Olaflur in oral care products were determined via ultra performance liquid chromatography-charged aerosol detector coupled with solid-phase extraction(SPE-UPLC-CAD).The oral care sample was dispersed evenly with a 50%ethanol aqueous solution,and then vortexed with ethanol.The supernatant was collected by centrifugation,concentrated to near dryness,and redissolved with ultrapure water.The re-dissolved sample was loaded onto a Poly-Sery HLB Pro SPE column for purification and elution.The acetonitrile eluate was collected and concentrated to 1.0 mL.Finally,a prepared test solution was separated on a Thermo Acclaim Surfactant Plus chromatographic column(2.1 mm×150 mm,3 μm).Acetonitrile and 100 mmol/L acetic acid-ammonium acetate aqueous solution(pH=4.8)were used as the mobile phases for gradient elution.The flow rate was 0.3 mL/min and cloumn temperature was maintained at 40℃.The sample was detected using a charged aerosol detector,and quantified using an external standard method.The experimental results indicated that the three organic fluorinated amines showed good linear relationship in their respective concentration ranges.The correlation coefficients(r)were greater than 0.99.The limit of detection(LOD)and the limit of quantification(LOQ)of C16-AmF were 2.0 and 8.0 μg/mL,respectively.The LOD and LOQ of C18:1-AmF were 2.0 and 8.0 μg/mL,respectively.The LOD and LOQ of Olaflur were 3.0 μg/mL and 10.0 μg/mL,respectively.The spiked recoveries of the three organic fluorinated amines were 84.3%-104.2%,with relative standard deviations(RSDs)of 4.93%-5.82%.The 28 batches of commercial oral care samples were detected by this method and the results indicated that three organic fluorinated amines were detected in 18 samples and the total content were 22.2-11477.8 μg/g.This method had high sensitivity and good reproducibility.It was suitable for verifying the authenticity of the claims of oral care products promoted with Olaflur as the main efficacy ingredient and selling point,and provided a valuable reference for establishing and improving the standard analytical method for Olaflur.

OBJECTIVE To establish a closed-loop management system for the whole-process traceability of outpatient drugs based on internet of things(IoT)and blockchain technology,and evaluate its implementation effects.METHODS A closed-loop management system for the whole-process traceability of outpatient drugs covering the entire drug lifecycle was designed using drug traceability codes integrated with IoT and blockchain technology.System effectiveness was evaluated from three dimensions:work efficiency,medication management quality and data safety by comparing indicators such as the acceptance time of incoming drugs and the number of collected drug traceability codes before the system implementation(October to December 2024)and after the system implementation(January to March 2025).RESULTS A closed-loop management system for the whole-process traceability of outpatient drugs,centered around the drug traceability code management system,was successfully established.The acceptance time for incoming drugs was shortened from(4.65±0.26)h before implementation to(0.34±0.08)h after implementation(P＜0.05).The number of collected drug traceability codes increased from 419 018 to 1 236 522,and the coverage rate of traceability codes rose from 28.36%to 89.88%(P＜0.05).The time pharmacists spent on drug expiry management per week decreased from(128.40±19.20)min to(0.56±0.13)min(P＜0.05),and the dispensing time for a single prescription(excluding a part of injections and repackaged drugs)was reduced from(143.25±17.67)s to(15.24±10.08)s(P＜0.05).The time for drug return was reduced from 129.90(122.32,137.00)s to 104.36(89.91,117.33)s(P＜0.05);the number of drug dispensing errors decreased from 2 cases to 0 cases.After the system was launched,there were no data security incidents in our outpatient pharmacy.CONCLUSIONS The constructed closed-loop management system for the whole-process traceability of outpatient drugs can significantly enhance drug traceability accuracy and drug management quality,improve pharmacist work efficiency,and reduce drug management risks,thus providing a feasible solution for the digital transformation of hospital pharmaceutical services.

Objective:To investigate the early predictive value of ECG PR interval for the risk of coronary heart disease(CHD) in patients with T2DM.Methods:A total of 7 886 participants from Guiyang who enrolled in the REACTION study between May and August 2011 were included. Baseline data were collected, and participants were followed for 10 years to monitor the occurrence of CHD. Logistic regression was used to identify risk factors for CHD, and a Cox proportional hazards model was employed to assess the predictive value of the PR interval for CHD incidence. Results:Over 10 years of follow-up, the overall incidence of CHD was 4.22%(245/5 812). The incidence was significantly higher in the T2DM group(7.57%, 96/1 268) than in the non-T2DM(3.28%, 149/4 544), and the shortened PR group(3.19%, 36/1 130; all P<0.05). Multiple logistic regression analysis identified both T2DM and prolonged PR interval as significant risk factors for CHD, with HR(95% CI) of 1.98(1.64-2.42) and 1.07(1.04-1.10), respectively(both P<0.01). The Cox proportional hazards model further revealed that the risk of CHD was significantly higher in the prolonged PR group than in the normal PR group, with an HR of 2.82(95% CI 2.34-3.12, P<0.01). Subgroup analysis showed that the risk of CHD was elevated in the non-T2DM with prolonged PR group, T2DM with normal PR group, and T2DM with prolonged PR group compared to the non-T2DM with normal PR group, with HRs(95% CI) of 1.43(1.14-1.82), 2.16(1.78-2.56), and 5.24(3.12-7.94), respectively. A significant interaction was observed between T2DM status and PR prolongation in predicting CHD risk(all P<0.01). Conclusions:Both T2DM and prolonged PR interval are independent risk factors for 10-year CHD incidence. Moreover, an interaction exists between T2DM and prolonged PR interval in predicting CHD risk. The PR interval may serve as an early predictor of CHD risk in patients with T2DM.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Objective:To investigate the 10-year incidence of reproductive system malignancies and their associated risk factors among overweight and obese women with different metabolic phenotypes aged 40 years and older in Guiyang City.Methods:A total of 6 444 female residents in Yunyan District, Guiyang City were included from the 2011 " Epidemiological Study on the Risk of Malignancy in Chinese Patients with Type 2 Diabetes Mellitus(REACTION)". Based on body mass index(BMI) and the presence or absence of metabolic syndrome(MetS), participants were categorized into four groups: metabolically healthy normal weight(MHNW, n=2 373), metabolically unhealthy normal weight(MUNW, n=1 098), metabolically healthy overweight/obese(MHO, n=2 229), and metabolically unhealthy overweight/obese(MUO, n=744). Baseline data were collected, and participants were followed up for 10 years to document the incidence of female reproductive system malignancies, including breast cancer, ovarian cancer, cervical cancer, and endometrial cancer. Logistic regression models were used to evaluate the association between metabolic phenotype and the 10-year risk of developing reproductive system malignancies. Results:Over a mean follow-up period of (9.89±0.77) years, the overall incidence of reproductive system malignancies was 1.15%(74/6, 444). Baseline characteristics such as age, BMI, high-density lipoprotein-cholesterol(HDL-C), and triglycerides(TG) differed significantly among the groups( P<0.05). The cumulative incidence of reproductive system malignancies in each group was: MHNW 0.93%(22/2 373), MUNW 0.73%(8/1 098), MHO 1.57%(35/2 229), and MUO 1.21%(9/744). There were no statistically significant differences in incidence across the four groups( P>0.05). However, multivariable logistic regression analysis revealed that, compared with the MHNW group, the adjusted HR (95% CI) were: MUNW 0.787(0.349-1.774, P>0.05), MHO 4.835(1.708-13.688, P<0.05), and MUO 3.719(1.144-12.089, P<0.05). Conclusion:Overweight and obesity are significant risk factors for reproductive system malignancies in women aged 40 and above. The presence of metabolic abnormalities in overweight or obese women further increases the risk of developing such malignancies.

Sarcomatoid carcinoma is an uncommon malignancy, and its occurrence in the penis is even rarer. This paper reports a case of primary sarcomatoid carcinoma of the penis. The patient was admitted to the hospital with a mass on the glans penis with ulceration, and underwent partial penectomy, and the postoperative pathology confirmed the diagnosis of sarcomatoid carcinoma. One month after surgery, lower abdominal ultrasound and MRI showed abnormal enlargement of bilateral inguinal area and pelvic lymph nodes, respectively. PET/CT scan showed multiple lymph node metastases in retroperitoneum, pelvis, and inguinal area. The patient was recommended chemotherapy, which was refused by the patient and his family. At 9-month postoperative follow-up, there was no recurrence of the penile stump and no deterioration of the condition.

To summarize the research progress and to discuss current drug supplement status of radiation preventive and curative drugs,which would provide fresh thoughts for nuclear emergency rescue and therapy.Classification of clinically available and under-development radiation prevention and treatment drugs has been presented in terms of symptomatic and causative prevention and treatment drugs.We analyzed the necessity and challenges of establishing a supply system for radiation prevention and treatment and put forward counter measures and thinking prospects.Clinical stockpile of symptomatic drugs is relatively sufficient.Allopathic drugs are widely developed,however,the barriers between research and clinical translation and the inadequate market supply system pose greater demands and challenges to the provision of hospital radiation allopathic drugs.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Objective:To investigate the early predictive value of ECG PR interval for the risk of coronary heart disease(CHD) in patients with T2DM.Methods:A total of 7 886 participants from Guiyang who enrolled in the REACTION study between May and August 2011 were included. Baseline data were collected, and participants were followed for 10 years to monitor the occurrence of CHD. Logistic regression was used to identify risk factors for CHD, and a Cox proportional hazards model was employed to assess the predictive value of the PR interval for CHD incidence. Results:Over 10 years of follow-up, the overall incidence of CHD was 4.22%(245/5 812). The incidence was significantly higher in the T2DM group(7.57%, 96/1 268) than in the non-T2DM(3.28%, 149/4 544), and the shortened PR group(3.19%, 36/1 130; all P<0.05). Multiple logistic regression analysis identified both T2DM and prolonged PR interval as significant risk factors for CHD, with HR(95% CI) of 1.98(1.64-2.42) and 1.07(1.04-1.10), respectively(both P<0.01). The Cox proportional hazards model further revealed that the risk of CHD was significantly higher in the prolonged PR group than in the normal PR group, with an HR of 2.82(95% CI 2.34-3.12, P<0.01). Subgroup analysis showed that the risk of CHD was elevated in the non-T2DM with prolonged PR group, T2DM with normal PR group, and T2DM with prolonged PR group compared to the non-T2DM with normal PR group, with HRs(95% CI) of 1.43(1.14-1.82), 2.16(1.78-2.56), and 5.24(3.12-7.94), respectively. A significant interaction was observed between T2DM status and PR prolongation in predicting CHD risk(all P<0.01). Conclusions:Both T2DM and prolonged PR interval are independent risk factors for 10-year CHD incidence. Moreover, an interaction exists between T2DM and prolonged PR interval in predicting CHD risk. The PR interval may serve as an early predictor of CHD risk in patients with T2DM.