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 investigate the trends in incidence and mortality of lung cancer in Huangpu District, Shanghai Municipality from 2002 to 2019, so as to provide the evidence for formulating lung cancer prevention and control measures. Methods: Data of lung cancer incidence and mortality among residents in Huangpu District from 2002 to 2019 were collected through the Shanghai Cancer Registration and Reporting Management System. The crude incidence and mortality of lung cancer was calculated, and standardized by the data from the Chinese Fifth National Population Census in 2000 (Chinese-standardized rate) and the Segi's world standard population in 1960 (world-standardized rate). The trends in incidence and mortality of lung cancer among residents by age and gender were evaluated using annual percent change (APC). Results: A total of 12 965 cases of lung cancer were reported in Huangpu District from 2002 to 2019, and the crude incidence rate was 80.66/105, the Chinese-standardized incidence rate was 34.54/105, and the world-standardized incidence rate was 31.30/105, all showing upward trends (APC=4.588%, 2.933% and 3.247%, all P<0.05). A total of 10 102 deaths of lung cancer were reported, and the crude mortality rate was 62.30/105, showing an upward trend (APC=0.959%, P<0.05); the Chinese-standardized mortality was 25.93/105, and the world-standardized mortality was 22.05/105, both showing downward trends (APC=-1.282% and -1.263%, both P<0.05). The crude incidence and mortality rates of lung cancer in males were higher than those in females (101.39/105 vs. 60.52/105, 85.45/105 vs. 39.87/105, both P<0.05). The crude incidence and mortality rates of lung cancer showed upward trends with age (both P<0.05), reaching their peaks in the age groups of 80-<85 years (341.37/105) and 85 years or above (355.97/105), respectively. Conclusions The incidence of lung cancer showed an upward trend, while the mortality showed a downward trend in Huangpu District from 2002 to 2019. Elderly men were the high-risk group for lung cancer incidence and mortality.

Objective To investigate the acceptance and satisfaction of tuberculosis prevention and control personnel in Beijing with the patient management system, and to provide a basis for further improving the patient management model. Methods A survey was conducted on the current usage, satisfaction, willingness to use and system improvement opinions of the patient management system among medical staff involved in the supervision and medication management of pulmonary tuberculosis patients in Beijing. Results A total of 360 medical staff participated in the survey. ^“Patient management^” was the function with the largest number of users, accounting for 96.94%. The proportion of users of each module who believed that the module's design met actual work needs was over 90%. About 94.44% of respondents believed that patient management systems facilitated the transfer and sharing of information between institutions. And 90.83% of respondents thought that the patient management system was easy to operate, and 89.17% of respondents believed that patient management systems reduced workload. About 97.50% of respondents were satisfied with the overall use of the patient management system. The results of the influencing factor analysis showed that those with 3 or less modules designed to meet actual work were less satisfied than those with more than 3 modules, and the difference was statistically significant (P=0.001). Respondents put forward suggestions for improvement on the optimization of operational details such as system response speed, interface design, system login and query statistics. Conclusion Medical staff involved in the follow-up management of pulmonary tuberculosis patients are highly satisfied with their work using the patient management system. During the promotion and use, it is still necessary to continuously optimize the system functions according to work needs so that the system can truly facilitate work.

Objective To investigate the cognition level and behavior compliance of blood pressure measurement in community residents and analyze the related influencing factors, and to provide evidence for community health management and blood pressure control. Methods A questionnaire survey was conducted to investigate 4470 community patients. Questionnaires included basic personal information，blood pressure measurement cognition, and blood pressure measurement behavior related issues. SPSS 19.0 was used to analyze the basic information, blood pressure measurement cognition, and pressure measurement behavior of the survey subjects. Logistic regression was performed to analyze relevant factors affecting blood pressure measurement cognition and behavior compliance. Results The overall cognitive compliance rate for blood pressure measurement among the visiting community patients was 31.52%. Age, education level, and chronic disease had a statistically significant impact on the cognitive knowledge (P<0.05). The overall behavior compliance rate of blood pressure measurement among the community patients was 23.69%. The cognition, age and education had a statistically significant impact on the overall behavior compliance rate of blood pressure measurement (P<0.05). Conclusion The cognitive level and standardized behavior of blood pressure measurement of community patients need to be improved. More attention should be paid to the elderly, low education level residents and community residents without chronic diseases, to promote community residents to form correct and standardized behavior of blood pressure measurement through health education.

This paper comprehensively discusses on the potential neurobiological mechanisms of acupuncture in the treatment of tobacco dependence， focusing on three important aspects， including acupuncture's regulation of tobacco dependence behavior， effects of acupuncture on withdrawal syndrome， and the role of acupuncture in preventing relapse. It is found that acupuncture can inhibit drug-seeking behavior by regulating the reward pathway and related neurons， such as dopamine， thus modulating tobacco dependence behavior. It also alleviates withdrawal symptoms by improving the oral environment of smokers and reducing negative emotions after quitting. Furthermore， acupuncture can prevent relapse by decreasing brain network activity related to smoking cravings and improving cognitive brain functions like addiction memory. Currently， research on the specific neurobiological mechanism of acupuncture in treating tobacco dependence and the involved neural circuits is limited. Future research directions are proposed， including the evaluation of clinical effects， exploration of specific therapeutic mechanisms， investigation of brain pathology， and strengthening the exploration of brain functions. Additionally， combining modern technologies to clarify the neural circuits involved in acupuncture intervention will provide a basis for acupuncture treatment of tobacco addiction.

Objective To optimize the extraction process of Xuetong capsules and establish its quality control method. Methods The extraction process was optimized by orthogonal experiment using ethanol reflux method to investigate the effects of different factors on diphenylstilbene, aloin and extraction yield. The content of 5 anthraquinone compounds in Xuetong capsule was determined by HPLC. Results The optimal extraction process was to add 10 times ethanol, with an ethanol concentration of 70%, and extract 3 times, each time for 1 h; 5 components had a good linear relationship with peak area within a certain concentration range, r>0.999 7; The range of sample recovery rate was 93.66%-96.85%, RSD range of 1.48%-1.66%. The content determination results of the 5 components in three batches of Xuetong capsules were （0.632-0.641）, （0.660-0.681）, （1.968-1.991）, （2.547-2.580）, and （1.076-1.101） mg/g. Conclusion The method was accurate, reproducible, and highly feasible, which could be references for producing and improving the quality control standards of Xuetong capsules.

OBJECTIVE To establish fingerprint， chemical pattern recognition and multi-component quantification analysis of Sanzi powder， and evaluate its quality. METHODS HPLC method was adopted. The fingerprints of 15 batches of Sanzi powder were established by using the Similarity Evaluation System for Chromatographic Fingerprint of Traditional Chinese Medicine （2012 edition）. Cluster analysis， principal component analysis and orthogonal partial least squares-discriminant analysis were also conducted. The variable importance in projection （VIP） value greater than 1 was used as the index to screen the differential markers， and the contents of the differential markers were determined by the same HPLC method. RESULTS A total of 21 common peaks in the HPLC fingerprints of 15 batches of Sanzi powder were calibrated， and the similarities of them were 0.994- 0.999； 6 common peaks were identified， including gallic acid （peak 3）， garminoside （peak 10）， corilagin （peak 11）， chebulinic acid （peak 16）， ellagic acid （peak 18）， crocin Ⅰ （peak 19）. According to the results of cluster analysis， YKD2024LH005，No.YKD2023LH062） principal component analysis and orthogonal partial least squares-discriminant analysis， 15 batches of samples could be clustered into two categories： S1， S5， S7， S9， S14 were clustered into one category； S2-S4， S6， S8， S10-S13， S15 were clustered into one category. VIP values of 11 differential components such as corilagin， chebulinic acid and ellagic acid were higher than 1. Among 15 batches of samples， the contents of corilagin， chebulinic acid and ellagic acid ranged 2.667-5.152， 9.506- 13.522， 0.891-1.811 mg/g. CONCLUSIONS Established HPLC fingerprint and multi-component quantification analysis of Sanzi powder are rapid and simple， and can be used for quality evaluation of Sanzi powder by combining with chemical pattern recognition. Eleven components such as corilagin， chebulinic acid and ellagic acid are differential markers affecting the quality of Sanzi powder.

ObjectiveBased on the theory of "gut-prostate" axis， this study explored the effects and mechanisms of Zishen Tongguan formula and Cinnamomi Cortex in the formula in treating rats with chronic non-bacterial prostatitis（CNP） by detecting the levels of inflammatory factors， and the composition and structure of intestinal flora in CNP rats. MethodsEight out of 42 SD rats were randomly selected as the normal group， and the remaining rats were injected with carrageenan to prepare the CNP model. After successful modeling， 32 rats were randomly divided into the model group， Ningmitai capsule group（0.50 g·kg^-1）， Zishen Tongguan formula group（2.00 g·kg^-1）， and the Phellodendri Chinensis Cortex-Anemarrhenae Rhizoma pair group（PCC-AR group， 2.00 g·kg^-1）， with 8 rats in each group. The administered groups were given the corresponding medicinal solution by gavage， and the normal and model groups were intragastrically administered with an equal volume of normal saline， once a day for 14 consecutive days. The prostate tissues of rats were collected and subjected to hematoxylin-eosin（HE） staining and Masson staining to observe the pathological changes of the tissues in each group. Enzyme-linked immunosorbent assay（ELISA） was used to detect the levels of related inflammatory factors in rat serum， and 16S rDNA sequencing was used to analyze the abundance and diversity changes of gut microbiota before and after administration， and species difference analysis was performed. ResultsAll the administered groups could alleviate the inflammatory symptoms of CNP rats， increase the expression levels of anti-inflammatory factors and decrease the expression levels of pro-inflammatory factors， with the most sIgnificant effect observed in the Zishen Tongguan formula group. Compared with the normal group， the expression levels of interleukin（IL）-8， hypersensitive C-reactive protein（hs-CRP）， immunoglobulin（Ig）M， secretory IgA （sIgA）， and inducible nitric oxide synthase（iNOS） were sIgnificantly increased in the model group（P<0.01）. Compared with the model group， the expression levels of the above inflammatory factors in all administered groups were significantly reduced（P<0.01）. When compared with the PCC-AR group， the Zishen Tongguan formula group showed a significant decrease in transforming growth factor（TGF）-β₁ expression level（P<0.05） and a significant increase in IgM expression level（P<0.01）. The results of gut microbiota analysis showed that， compared with the PCC-AR group， at the order level， the Zishen Tongguan formula group significantly reduced the relative abundance of conditional pathogens such as Bacteroidales， Acidaminococcales， Rhodospirillales， Clostridiales， and Elusimicrobiales（P<0.01）. And at the genus level， the Zishen Tongguan formula group significantly decreased the relative abundance of pathogenic microbiota such as Lachnospira and Bacteroides（P<0.01） and significantly increased the relative abundances of beneficial microbiota such as Ruminococcus and Lactobacillus（P<0.01）. ConclusionZishen Tongguan formula can reduce the level of harmful intestinal bacteria， increase the level of beneficial intestinal bacteria， down-regulate the expression of serum inflammatory factors， and the small amount of Cinnamomi Cortex in the formula may play a key role in the treatment of CNP with this formula.

ObjectiveTo analyze the differences in color， odor and volatile components of Citri Reticulatae Pericarpium（CRP） before and after being stir-fried with Halloysitum Rubrum， and to explore the material basis of enhancing the effect of strengthening spleen after processing and the scientific connotation of decoction pieces processed with Halloysitum Rubrum as the auxiliary material. MethodsThe volatile components of the samples before and after processing were identified and relatively quantified by headspace gas chromatography-mass spectrometry（HS-GC-MS）， and the volatile components were analyzed by principal component analysis（PCA） and orthogonal partial least squares-discriminant analysis（OPLS-DA）. According to the principle of variable importance in the projection（VIP） value>1.5， volatile differential components before and after processing were screened. And combined with intelligent sensory technologies such as colorimeter and electronic nose， the chroma and odor information of CRP before and after being stir-fried with Halloysitum Rubrum were identified. Pearson correlation analysis was used to explore the correlation between volatile differential components and chroma values. ResultsA total of 112 volatile components were identified from CRP and CRP stir-fried with Halloysitum Rubrum， of which 84 were from CRP and 97 were from CRP stir-fried with Halloysitum Rubrum. And 7 differential components were selected， including α-pinene， β-myrcene， linalool， sabinene， ocimene isomer mixture， A-ocimene， and δ-elemene. After being processed with Halloysitum Rubrum， the brightness value（L^*）， yellow-blue value（b^*） and total chromatic value（E^*_ab） of CRP were decreased（P<0.01）， and red-green value（a^*） was increased（P<0.01）， the response values of S4， S5， S10 and S13 sensors were significantly increased（P<0.05）， and the response values of S3 and S8 sensors were significantly decreased（P<0.05）. Correlation analysis showed that α-pinene and β-myrcene were negatively correlated with L^* and E^*_ab， but positively correlated with a^*. Sabinene was positively correlated with L^* and E^*_ab. Linalool was positively correlated with L^* and E^*_ab， and negatively correlated with a^*. The ocimene isomer mixture was positively correlated with the L^*. ConclusionAfter being processed with Halloysitum Rubrum， the appearance color， odor and volatile components of CRP change significantly， and α-pinene， β-myrcene， sabinene， linalool and A-ocimene are the characteristic volatile components before and after processing， which can provide references for the quality evaluation and clinical application of CRP and its processed products.

ObjectiveBased on the theory of "gut-prostate" axis， this study explored the effects and mechanisms of Zishen Tongguan formula and Cinnamomi Cortex in the formula in treating rats with chronic non-bacterial prostatitis（CNP） by detecting the levels of inflammatory factors， and the composition and structure of intestinal flora in CNP rats. MethodsEight out of 42 SD rats were randomly selected as the normal group， and the remaining rats were injected with carrageenan to prepare the CNP model. After successful modeling， 32 rats were randomly divided into the model group， Ningmitai capsule group（0.50 g·kg^-1）， Zishen Tongguan formula group（2.00 g·kg^-1）， and the Phellodendri Chinensis Cortex-Anemarrhenae Rhizoma pair group（PCC-AR group， 2.00 g·kg^-1）， with 8 rats in each group. The administered groups were given the corresponding medicinal solution by gavage， and the normal and model groups were intragastrically administered with an equal volume of normal saline， once a day for 14 consecutive days. The prostate tissues of rats were collected and subjected to hematoxylin-eosin（HE） staining and Masson staining to observe the pathological changes of the tissues in each group. Enzyme-linked immunosorbent assay（ELISA） was used to detect the levels of related inflammatory factors in rat serum， and 16S rDNA sequencing was used to analyze the abundance and diversity changes of gut microbiota before and after administration， and species difference analysis was performed. ResultsAll the administered groups could alleviate the inflammatory symptoms of CNP rats， increase the expression levels of anti-inflammatory factors and decrease the expression levels of pro-inflammatory factors， with the most sIgnificant effect observed in the Zishen Tongguan formula group. Compared with the normal group， the expression levels of interleukin（IL）-8， hypersensitive C-reactive protein（hs-CRP）， immunoglobulin（Ig）M， secretory IgA （sIgA）， and inducible nitric oxide synthase（iNOS） were sIgnificantly increased in the model group（P<0.01）. Compared with the model group， the expression levels of the above inflammatory factors in all administered groups were significantly reduced（P<0.01）. When compared with the PCC-AR group， the Zishen Tongguan formula group showed a significant decrease in transforming growth factor（TGF）-β₁ expression level（P<0.05） and a significant increase in IgM expression level（P<0.01）. The results of gut microbiota analysis showed that， compared with the PCC-AR group， at the order level， the Zishen Tongguan formula group significantly reduced the relative abundance of conditional pathogens such as Bacteroidales， Acidaminococcales， Rhodospirillales， Clostridiales， and Elusimicrobiales（P<0.01）. And at the genus level， the Zishen Tongguan formula group significantly decreased the relative abundance of pathogenic microbiota such as Lachnospira and Bacteroides（P<0.01） and significantly increased the relative abundances of beneficial microbiota such as Ruminococcus and Lactobacillus（P<0.01）. ConclusionZishen Tongguan formula can reduce the level of harmful intestinal bacteria， increase the level of beneficial intestinal bacteria， down-regulate the expression of serum inflammatory factors， and the small amount of Cinnamomi Cortex in the formula may play a key role in the treatment of CNP with this formula.