Objective To reveal the scientific output and trends in pulmonary nodules/early-stage lung cancer prediction models. Methods Publications on predictive models of pulmonary nodules/early lung cancer between January 1, 2002 and June 3, 2023 were retrieved and extracted from CNKI, Wanfang, VIP and Web of Science database. CiteSpace 6.1.R3 and VOSviewer 1.6.18 were used to analyze the hotspots and theme trends. Results A marked increase in the number of publications related to pulmonary nodules/early-stage lung cancer prediction models was observed. A total of 12581 authors from 2711 institutions in 64 countries/regions published 2139 documents in 566 academic journals in English. A total of 282 articles from 1256 authors were published in 176 journals in Chinese. The Chinese and English journals which published the most pulmonary nodules/early-stage lung cancer prediction model-related papers were Journal of Clinical Radiology and Frontiers in Oncology, respectively. Chest was the most frequently cited journal. China and the United States were the leading countries in the field of pulmonary nodules/early-stage lung cancer prediction models. The institutions represented by Fudan University had significant academic influence in the field. Analysis of keywords revealed that multi-omics, nomogram, machine learning and artificial intelligence were the current focus of research. Conclusion Over the last two decades, research on risk-prediction models for pulmonary nodules/early-stage lung cancer has attracted increasing attention. Prognosis, machine learning, artificial intelligence, nomogram, and multi-omics technologies are both current hotspots and future trends in this field. In the future, in-depth explorations using different omics should increase the sensitivity and accuracy of pulmonary nodules/early-stage lung cancer prediction models. More high-quality future studies should be conducted to validate the efficacy and safety of pulmonary nodules/early-stage lung cancer prediction models further and reduce the global burden of lung cancer.

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.

Objective To analyze the differences in distribution of traditional Chinese medicine (TCM) syndrome elements and salivary microbiota between the individuals with pulmonary nodules and those without, and to explore the potential correlation between the distribution of TCM syndrome elements and salivary microbiota in patients with pulmonary nodules. Methods We retrospectively recruited 173 patients with pulmonary nodules (PN) and 40 healthy controls (HC). The four diagnostic information was collected from all participants, and syndrome differentiation method was used to analyze the distribution of TCM syndrome elements in both groups. Saliva samples were obtained from the subjects for 16S rRNA high-throughput sequencing to obtain differential microbiota and to explore the correlation between TCM syndrome elements and salivary microbiota in the evolution of the pulmonary nodule disease. Results The study found that in the PN group, the primary TCM syndrome elements related to disease location were the lung and liver, and the primary TCM syndrome elements related to disease nature were yin deficiency and phlegm. In the HC group, the primary TCM syndrome elements related to disease location were the lung and spleen, and the primary TCM syndrome elements related to disease nature were dampness and qi deficiency. There were differences between the two groups in the distribution of TCM syndrome elements related to disease location (lung, liver, kidney, exterior, heart) and disease nature (yin deficiency, phlegm, qi stagnation, qi deficiency, dampness, blood deficiency, heat, blood stasis) (P<0.05). The species abundance of the salivary microbiota was higher in the PN group than that in the HC group (P<0.05), and there was significant difference in community composition between the two groups (P<0.05). Correlation analysis using multiple methods, including Mantel test network heatmap analysis and Spearman correlation analysis and so on, the results showed that in the PN group, Prevotella and Porphyromonas were positively correlated with disease location in the lung, and Porphyromonas and Granulicatella were positively correlated with disease nature in yin deficiency (P<0.05). Conclusion The study concludes that there are notable differences in the distribution of TCM syndrome elements and the species abundance and composition of salivary microbiota between the patients with pulmonary nodules and the healthy individuals. The distinct external syndrome manifestations in patients with pulmonary nodules, compared to healthy individuals, may be a cascade event triggered by changes in the salivary microbiota. The dual correlation of Porphyromonas with both disease location and nature suggests that changes in its abundance may serve as an objective indicator for the improvement of symptoms in patients with yin deficiency-type pulmonary nodules.

Objective:To explore the effects of Yishen Tonglong Granules (YSTLG) on cell proliferation and apoptosis in a nude mouse model of androgen independent prostate cancer subcutaneous transplantation based on non classical Wnt signaling pathway.Methods:The tumor-bearing nude mouse model was established using the human prostate cancer bone metastatic cell line PC-3. After successful modeling, the mice were equally divided into six groups using the random number table method: model group, Western medicine group, Chinese materia medica low-, medium-, and high-dosage groups, and Chinese materia medica-Western medicine combination group. Corresponding drug interventions were administered to each group. Following 28 consecutive days of drug administration, the nude mice were euthanized. Tumor tissues were harvested for pathological observation via HE staining. Cell proliferation was assessed by immunohistochemistry; apoptosis was detected using TUNEL assay; the expressions of non-canonical Wnt signaling pathway-related proteins (Wnt5a, Rac1, RhoA, NFATc1) were analyzed through Western blot and immunohistochemical methods.Results:THE staining results demonstrated that YSTLG could effectively ameliorate pathological alterations in tumor tissues. Compared with the model group, the Chinese materia medica low-, medium-, and high-dosage groups, as well as the Chinese materia medica-Western medicine combination group, exhibited reduced proliferation indices ( P<0.01), elevated apoptosis indices ( P<0.01), down-regulated protein expressions of Wnt5a, Rac1, RhoA, and NFATc1 ( P<0.01), and decreased optical density values of Wnt5a, Rac1, RhoA, and NFATc1 ( P<0.01). These effects displayed a dosage-dependent trend. The Chinese materia medica-Western medicine combination group achieved the most pronounced therapeutic outcomes. Conclusions:YSTLG may exert inhibitory effects on the proliferation of androgen-independent prostate cancer cells and promote apoptosis, possibly through suppression of the non-canonical Wnt signaling pathway. Furthermore, its combination with Wnt signaling inhibitors may exhibit synergistic therapeutic effects.

Based on the theory of qi， blood and fluids， and taking into account of the pathogenesis evolution process from constraint to phlegm， stasis and then mass in pulmonary nodules， an attempt has been made to construct a three-dimensional differentiation system for pulmonary nodules from the dimensions of time and space. The temporal progression of the early， middle， and late stages of pulmonary nodules reflects the pathological changes from constraint to phlegm and then stasis in the metabolism disorders of qi， blood and fluid. The spatial structures such as size， density， and morphology of pulmonary nodules reflect the pathological states of the duration， severity， and primary and secondary conditions of qi， blood and fluid metabolism disorders. Based on the temporal progression， the therapeutic principles have been proposed， which are dispelling pathogenic factors and promoting the use of beneficial factors to interrupt the growth momentum in the early stage， removing turbidity and dispersing phlegm to reduce the degree of nodules in the middle stage， and dispersing nodulation and eliminating abnormalities in the late stage. Based on the spatial structures， the suggested therapeutic methods are using wind herbs， employing multiple approaches to treat phlegm， and promoting blood circulation to resolve stasis， so as to provide theoretical reference for the systematic diagnosis and treatment of pulmonary nodules in traditional Chinese medicine.

Pulmonary nodule is a key window for moving ahead the diagnosis and treatment of lung cancer. Traditional Chinese medicine （TCM） can delay the transformation of lung nodules into lung cancer， improve the prognosis of patients， effectively fill the treatment gap during the follow-up period of pulmonary nodules， and has been applied it in the whole cycle and multi-dimensional management of pulmonary nodules. This paper discussed the construction ideas and feasible paths of the whole process management diagnosis and treatment system of pulmonary nodules in TCM， proposed the diagnosis and treatment database of TCM for pulmonary nodules based on the social module of “family-community-hospital”. Through artificial intelligence， we can develop， improve and promote the multi-level and multi-modal “disease-symptom combination” risk prediction model and effectiveness evaluation system of pulmonary nodules. At the same time， the biological connotation of the prevention and treatment of pulmonary nodules by TCM is excavated， which provided empirical evidence for the construction of TCM diagnosis and treatment system， in order to further improve the quality and diagnosis and treatment level of the whole course management of pulmonary nodules.

Pulmonary blast injury has become the main type of trauma in modern warfare, characterized by externally mild injuries but internally severe injuries, rapid disease progression, and a high rate of early death. The injury is complicated in clinical practice, often with multiple and compound injuries. Currently, there is a lack of effective protective materials, accurate injury detection instrument and portable monitoring and transportation equipment, standardized clinical treatment guidelines in various medical centers, and evidence-based guidelines at home and abroad, resulting in a high mortality in clinlcal practice. Therefore, the Trauma Branch of Chinese Medical Association and the Editorial Committee of Chinese Journal of Trauma organized military and civilian experts in related fields such as thoracic surgery and traumatic surgery to jointly develop the Clinical treatment guideline for pulmonary blast injury ( version 2023) by combining evidence for effectiveness and clinical first-line treatment experience. This guideline provided 16 recommended opinions surrounding definition, characteristics, pre-hospital diagnosis and treatment, and in-hospital treatment of pulmonary blast injury, hoping to provide a basis for the clinical treatment in hospitals at different levels.

Objective To uncover and identify the differences in salivary microbiota profiles and their potential roles between patients with pulmonary nodules(PN)and healthy controls,and to propose new candidate biomarkers for the early warning of PN.Methods 16S rRNA amplicon sequencing was performed with the saliva samples of 173 PN patients,or the PN group,and 40 health controls,or the HC group,to compare the characteristics,including diversity,community composition,differential species,and functional changes of salivary microbiota in the two groups.Random forest algorithm was used to identify salivary microbial markers of PN and their predictive value for PN was assessed by area under the curve(AUC).Finally,the biological functions and potential mechanisms of differentially-expressed genes in saliva samples were preliminarily investigated on the basis of predictive functional profiling of Phylogenetic Investigation of Communities by Reconstruction of Unobserved States(PICRUSt2).Results The α diversity and βdiversity of salivary microbiota in the PN group were higher than those in the HC group(P＜0.05).Furthermore,there were significant differences in the community composition and the abundance of oral microorganisms between the PN and the HC groups(P＜0.05).Random forest algorithm was applied to identify differential microbial species.Porphyromonas,Haemophilus,and Fusobacterium constituted the optimal marker sets(AUC=0.79,95％confidence interval:0.71-0.86),which can be used to effectively identify patients with PN.Bioinformatics analysis of the differentially-expressed genes revealed that patients with PN showed significant enrichment in protein/molecular functions involved in immune deficiency and redox homeostasis.Conclusion Changes in salivary microbiota are closely associated with PN and may induce the development of PN or malignant transformation of PN,which indicates the potential of salivary microbiota to be used as a new non-invasive humoral marker for the early diagnosis of PN.

【Objective】 To analyze the quality level of the laboratory pre-analytical phase, so as to take effective quality improvement interventions to further standardize the operation and provide basis for ensuring the quality of blood testing. 【Methods】 Pre-analytical phase quality indicators of blood screening laboratory in Shanghai Blood Center were established, and those had serious impact on blood safety were defined as the sentinel indicators. The pre-analytical quality level of our laboratory from 2018 to 2020 was statistically analyzed in terms of four parts including sample collection, preservation and submission, centrifugation and quality inspection, which contained 17 indicators. 【Results】 Eleven sentinel indicators were established, and the order of peak value from high to low in three years was as follows: " label omission" rated at 0.000 62% (2020), " label error" 0.000 57% (2018), " inappropriate storage of samples before detection" 0.007 39 (2018), " unqualified application form for sample detection" 0.007 39 (2018). The causes were analyzed and relevant measures were taken. Six monitoring indicators were established, and the order of peak value from high to low in three years was as follows: " insufficient sample" rated at 0.002 59% (year 2018), " hemolysis" 0.002 80% (year 2020), " pale color of blood supernatant (diluted)" 0.000 86 (2018), " automatic sampling interfered by blood clot" 0.027 02% (2018). 【Conclusion】 The quality indexes of pre-analytical phase in our laboratory have reached the level of domestic and international clinical laboratories. The establishment of pre-analytical quality indicators and sentinel indicators, with effective analysis and application, can fully record and monitor the quality of each link before laboratory testing, which is helpful to timely identify risks, detect deviations, and quickly implement corrective and preventive measures, thus further ensure the safety of clinical blood use.

Objective:To investigate the clinical application of carbon nanoparticles mapping lymph nodes in curative resection for colorectal carcinoma.Methods:Patients diagnosed with colorectal cancer before operation and undergoing radical surgery with intact postoperative pathological data in the Sixth Affiliated Hospital, Sun Yat-sen University from March 2016 to March 2018 were included in this retrospective case-control study. Those who were diagnosed with ileus, recurrent carcinoma or underwent emergency operation were excluded. A total of 1421 cases were included, with 156 cases in the carbon nanoparticles mapping group and 1265 cases in the control group. Using 1∶3 case control matching based on gender, weight, TNM staging and neoadjuvant chemotherapy, 145 and 435 cases were finally recruited in the carbon nanoparticles mapping group and control group, respectively. Patients in the carbon nanoparticles mapping group underwent preoperative colonoscopy with carbon nanoparticles submucosal injection 2.4 (1.0 - 14.0) days before operation. Carbon nanoparticles of 0.25 ml was injected at 4 points (3, 6, 9 and 12 o'clock each) 0.5-1.0 cm around the tumor. The number of eliminated lymph node, number of positive lymph node and positive rate between the two groups were compared, and the number of eliminated lymph node in different subgroups of T stage, N stage, TNM stage and neoadjuvant chemotherapy was analyzed and compared.Results:After case control matching, total number of eliminated lymph nodes in the carbon nanoparticles mapping group was significantly higher than that in the control group (22.2±11.2 vs. 19.0±9.5, t=3.025, P=0.003). However, no statistically significant differences were found in the number of positive lymph node and lymph node positive rate between two groups (all P>0.05). Subgroup analysis showed that as compared to the control group, total number of eliminated lymph nodes in the carbon nanoparticles mapping group was significantly higher in T3 stage subgroup (median: 22 vs. 18, Z=2.435, P=0.015), N0 stage subgroup (median: 20.5 vs. 17.5, Z=2.772, P=0.006), TNM II stage subgroup (median: 23.5 vs. 19.0, Z=2.654, P=0.008) and neoadjuvant chemotherapy (median: 22.5 vs. 13.0, Z=3.287, P=0.001), while compared to the control group, the number of positive lymph node (median: 4.0 vs. 6.5, Z=-2.530, P=0.011) and the lymph node metastasis degree (median: 16% vs. 31%, Z=-2.862, P=0.004) were lower in the carbon nanoparticles mapping group in N2 subgroup. Conclusion:Carbon nanoparticles mapping lymph nodes can effectively enhance the number of eliminated lymph nodes in curative resection for colorectal cancer.