[Objective] To analyze the influencing factors of repeat blood donor lapsing using a zero-inflated poisson regression model (ZIP). [Methods] The blood donation behavior of 12 498 whole blood donors from 2020 was tracked until December 31, 2023. The factors influencing the frequency of blood donations in a given year was analyzed using ZIP, and donors with 0 blood donation in that year were considered to have lapsed. The changes in relevant influencing factors associated with each blood donation were measured and modeled for analysis. [Results] The zero-inflated part of ZIP showed that the risk of lapsing of male blood donors was 2.24 times that of female blood donors (OR 95% CI:1.864-2.696, P<0.001); the risk of lapsing of the 35-44 age group and over 45 age group was respectively 40% (OR 95% CI:0.455-0.790, P<0.001) and 61%(OR 95% CI:0.268-0.578, P<0.001) lower than that of the under 25 age group; the risk of lapsing for those who have donated blood twice and ≥3 times was respectively 50% (OR 95% CI:0.405-0.609, P<0.001) and 81% (OR 95% CI:0.154-0.225, P<0.001) lower than that of first-time donors; the risk of lapsing of those with junior high or high school education was 1.2 times that of those with a college degree or higher (OR 95% CI:1.033-1.384, P<0.05); the risk of lapsing for the divorced group was 2.02 times that of the married group (OR 95% CI:1.445-2.820, P<0.001); the risk of lapsing for those with an income (Yuan) of 10 000 to 50 000, 50 000 to 100 000 and more than 100 000 was respectively 0.67 (OR 95% CI:0.552-0.818, P<0.001), 0.72 (OR 95% CI:0.591-0.884, P=0.002) and 0.67 (OR 95% CI:0.535-0.834, P<0.001) times that of those with an income (Yuan) of less than 10 000. The results of the Poisson part are consistent with the results of the zero-inflated part in terms of age and education level. [Conclusion] Blood donor lapsing is overall related to factors such as gender, age, donation frequency, education, marital status and family income. It's essential to care for those blood donors prone to lapse to retain more regular blood donors.

Objective:To evaluate the value of multi-slice spiral CT (MSCT) in the diagnosis of liver metastases with rich blood supply.Methods:The clinical data and imaging data of 19 patients with liver metastases with rich blood supply admitted to the 921st Hospital of the Joint Logistics Support Force of Chinese People′s Liberation Army from September 2018 to September 2023 were retrospectively analyzed, and the number, location, shape, size of the lesions and the images of CT plain scan and dynamic enhanced scan were analyzed.Results:Among the 19 patients, there were 18 multiple cases and 1 single case. A total of 108 lesions were found. There were 62 cases (57.4%) in the right lobe of liver and 87 cases (80.6%) in the peripheral part of liver. The form of circular or quasi-circular, there were 99, irregular shape or lobed 9. The focal diameter was 0.6-6.8 cm. CT plain scan showed that 99 lesions showed slightly low density, and the other 9 lesions showed equal density relative to the background liver. In the dynamic enhanced scan, 108 lesions in arterial stage showed high-density enhancement, 97 lesions showed circular enhancement, and 11 lesions showed nodular enhancement. Among them, 77 lesions had moderate to obvious intensification density. Of the 108 lesions in the portal vein stage, 31 lesions showed moderate to obvious enhancement density, 49 lesions showed slightly low clearance density, and 28 lesions showed continuous enhancement density. In the delayed stage, all 108 lesions showed slightly low density.Conclusions:The main features of liver metastases with rich blood supply are: low density on plain CT scan, annular or nodular enhancement in the arterial phase of enhanced CT scan, and the peak of enhanced density can be in the arterial phase or the portal vein phase. Combined with clinical data, CT can make a correct diagnosis.

Amid the wave of medical digitalalization,pathology departments urgently require digital and intelligent transformation to address challenges posed by surging clinical samples and resource shortages.Based on an interpreta-tion of the White Paper on the Development of Digital Intelligent Pathology Departments,this article proposes a"Four-Comprehensive"framework(encompassing all modules,full slide coverage,full workflows,and full ecosystem)as the core of intelligent pathology department development.It emphasizes a tiered implementation strategy,analyzes critical challenges and solutions,and provides tailored recommendations for hospitals at different levels.The paper further ad-vocates for industry-wide collaboration to establish unified data standards,accelerate the advancement of AI-driven pathological models and multimodal applications,and foster equitable resource distribution and precision medicine,thereby advancing China's digital-intelligent pathology ecosystem.

Amid the wave of medical digitalalization,pathology departments urgently require digital and intelligent transformation to address challenges posed by surging clinical samples and resource shortages.Based on an interpreta-tion of the White Paper on the Development of Digital Intelligent Pathology Departments,this article proposes a"Four-Comprehensive"framework(encompassing all modules,full slide coverage,full workflows,and full ecosystem)as the core of intelligent pathology department development.It emphasizes a tiered implementation strategy,analyzes critical challenges and solutions,and provides tailored recommendations for hospitals at different levels.The paper further ad-vocates for industry-wide collaboration to establish unified data standards,accelerate the advancement of AI-driven pathological models and multimodal applications,and foster equitable resource distribution and precision medicine,thereby advancing China's digital-intelligent pathology ecosystem.

Objective:To evaluate the value of multi-slice spiral CT (MSCT) in the diagnosis of liver metastases with rich blood supply.Methods:The clinical data and imaging data of 19 patients with liver metastases with rich blood supply admitted to the 921st Hospital of the Joint Logistics Support Force of Chinese People′s Liberation Army from September 2018 to September 2023 were retrospectively analyzed, and the number, location, shape, size of the lesions and the images of CT plain scan and dynamic enhanced scan were analyzed.Results:Among the 19 patients, there were 18 multiple cases and 1 single case. A total of 108 lesions were found. There were 62 cases (57.4%) in the right lobe of liver and 87 cases (80.6%) in the peripheral part of liver. The form of circular or quasi-circular, there were 99, irregular shape or lobed 9. The focal diameter was 0.6-6.8 cm. CT plain scan showed that 99 lesions showed slightly low density, and the other 9 lesions showed equal density relative to the background liver. In the dynamic enhanced scan, 108 lesions in arterial stage showed high-density enhancement, 97 lesions showed circular enhancement, and 11 lesions showed nodular enhancement. Among them, 77 lesions had moderate to obvious intensification density. Of the 108 lesions in the portal vein stage, 31 lesions showed moderate to obvious enhancement density, 49 lesions showed slightly low clearance density, and 28 lesions showed continuous enhancement density. In the delayed stage, all 108 lesions showed slightly low density.Conclusions:The main features of liver metastases with rich blood supply are: low density on plain CT scan, annular or nodular enhancement in the arterial phase of enhanced CT scan, and the peak of enhanced density can be in the arterial phase or the portal vein phase. Combined with clinical data, CT can make a correct diagnosis.

[Objective] To explore the characteristics of lifestyle behaviors and mental health status among blood donors in Guangzhou, and to investigate the correlation between donation frequency and these factors. [Methods] A cross-sectional study was conducted among 13 042 whole blood donors from 17 street blood donation sites of Guangzhou Blood Center from May to August 2020. Descriptive analysis was used to describe the characteristics of lifestyle behaviors and mental health status among blood donors in Guangzhou. Ordinal multinomial logistic regression model was used to analyze the correlation between donation frequency and these factors. [Results] It was found that some of 13 042 blood donors had unhealthy habits, such as 6.8% (698/10 214，2 828 missing values) had severe tobacco dependence, 30.6% (3 997/13 042) had low exercise levels, 38.8%（5 056/13 042）had poor sleep quality, and 2.2% (271/12 159，883 missing values) had alcohol dependence. In addition, 2.8% (364/13 042) and 1.3% (172/13 042) of the donors may have moderate to severe depression and anxiety symptoms, respectively. The results of the ordinal multinomial logistic regression model showed that exercise level was significantly negatively correlated with the degree of depression and anxiety among blood donors. With the decrease in exercise level, the possibility of depression and anxiety among donors increased significantly. BMI, household income, education level, marital status, donation frequency, alcohol consumption and smoking had no significant correlation with the mental health status of donors. [Conclusion] Improving the exercise habits of blood donors may help enhance their mental health level. It is recommended that blood station staff strengthen the content of exercise when providing health education to blood donors to maintain a healthy lifestyle. It also suggests that there may be a certain degree of under-diagnosis of mental health problems in the process of health consultation before blood donation, and conducting more comprehensive and effective mental health assessments for blood donors is recommended.

Objective:To investigate the clinical value of deep learning model based on contrast enhanced ultrasound (CEUS) video in the differential diagnosis of benign and malignant liver tumors.Methods:Between May 2010 and June 2022, 1 213 patients who underwent CEUS examination for liver masses in the Affiliated Hospital of Southwest Medical University were retrospectively collected, and the enrolled patients were divided into training and independent test cohorts with December 31, 2021 as the time cut-off. In the training cohort, the TimeSformer algorithm was used as the infrastructure, and multiple fixed-time segments were obtained from CEUS arterial videos by using the sliding window of the video, and the classification results of the entire video were obtained after fusing the features of multiple segments, so as to build a deep learning model based on CEUS videos. In the independent test cohort, ROC curves were used to verify the validity of the model and compared with three radiologists with different CEUS experience (R1, R2, and R3, with 3, 6, and 10 years of CEUS experience, respectively).Results:A total of 1 213 patients with liver masses were included in the study, including 1 066 patients in the training cohort (426 cases of malignancy) and 147 patients in the independent test cohort (50 cases of malignancy). The area under curve (AUC)value of deep learning model was 0.93±0.01 in the training cohort and 0.89±0.01 in the independent test cohort, and the accuracy, sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) were 80.42%, 74.19%, 92.00%, 94.52% and 65.71%, respectively. Among the three radiologists, R1 had the lowest diagnostic performance, with accuracy, sensitivity, specificity, PPV and NPV of 67.83%, 51.61%, 98.00%, 97.96% and 52.13%, respectively, while the above indicators of R3 were 82.52%, 76.36%, 94.00%, 95.95% and 68.12%, respectively. McNemar′s test showed that the difference between R1 and the deep learning model was statistically significant ( P<0.001), while the differences between R2 and R3 and the deep learning model were not statistically significant ( P=0.720, 0.868). In addition, the analysis time of the model for a single case was (340.24±16.32)ms, while the average analysis time of radiologists was 62.9 s. Conclusions:The deep learning model based on CEUS can better identify benign and malignant liver masses, and may reach the diagnostic level of experienced radiologists.

Objective:To study the expression levels and clinical significance of thyroid transcription factor-1(TTF-1) and galectin-3 in pleural fluid sediment embedded tissues of lung adenocarcinoma patients.Methods:A study was conducted on the clinical data of 82 lung cancer patients who received treatment at the First People′s Hospital of Anqing City from March 2020 to December 2022. According to the type of lung adenocarcinoma, they were divided into metastatic lung adenocarcinoma group (16 cases) and primary lung adenocarcinoma group (66 cases). The expression of levels TTF-1 and galectin-3 were compared between the two groups. Immunohistochemical method was used to detect the expression levels of TTF-1 and galectin-3 in pleural fluid sediment embedded tissues and their clinical significance was analyzed.Results:The positive rate of TTF-1 in primary lung adenocarcinoma group was higher than that in metastatic lung adenocarcinoma group: 77.27%(51/66) vs. 2/16, there was statistical difference ( χ2 = 23.64, P<0.01). The positive rate of galectin-3 in primary adenocarcinoma group was lower than that in metastatic adenocarcinoma group: 31.82%(21/66) vs. 13/16, there was statistical difference ( χ2 = 12.96, P<0.01). Galectin-3 and TTF-1 positive expressions were not correlated with the degree of tissue differentiation, lymph node metastasis and clinical stage of lung adenocarcinoma ( P>0.05). Conclusions:The expression level of TTF-1 increases and the expression level of galectin-3 decreases in the pleural fluid sediment embedded tissues of lung adenocarcinoma patients, the combined detection of TTF-1 and galectin-3 has important clinical application value in the diagnosis of primary lung adenocarcinoma cells and differential diagnosis of metastatic cancer.

Objective:To analyze the levels of serum soluble intercellular adhesion molecule-1(sICAM-1),soluble vascular cell adhesion molecule-1(sVCAM-1),and superoxide dismutase(SOD)activity in the patients with maintenance hemodialysis(MHD),and to discuss their relationships with coronary artery calcification(CAC).Methods:The clinical materials from 102 MHD patients(MHD group)were retrospectively analyzed.Additionally,74 volunteers underwent routine health examination at the same time(health examination group)were selected.The CAC scores(CACs)of the patients in MHD group were detected by multi-slice computed tomography(MSCT),and the patients were categorized into non-calcification group,mild calcification group,moderate calcification group,and severe calcification group.The general data and serum levels of sICAM-1,sVCAM-1,and SOD activities of the subjects in two groups were compared.The levels of calcium(Ca),phosphorus(P),parathyroid hormone(PTH),sICAM-1,sVCAM-1,and SOD activities in serum of the patients with different degrees of calcification were analyzed.Pearson's correlation analysis was used to analyze the correlations between the levels of sICAM-1,sVCAM-1,and SOD activity in serum of the MHD patients and CACs.Results:Compared with health examination group,the levels of sICAM-1 and sVCAM-1 in serum of the patients in MHD group were significantly increased(P<0.01),and the SOD activity was significantly decreased(P<0.01).Compared with non-calcification group,the levels of PTH,sICAM-1,and sVCAM-1 in serum of the MHD patients in mild,moderate,and severe calcification groups were significantly increased(P<0.05),and the SOD activities were significantly decreased(P<0.05);the levels of P in serum of the MHD patients in moderate and severe calcification groups were significantly increased(P<0.05).Compared with mild calcification group,the levels of P,PTH,sICAM-1,and sVCAM-1 in serum of the MHD patients in moderate and severe calcification groups were significantly increased(P<0.05),and the SOD activities significantly decreased(P<0.05).Compared with moderate calcification group,the levels of sICAM-1,sVCAM-1,and P in serum of the MHD patients in severe calcification group were significantly increased(P<0.05),and the SOD activity was significantly decreased(P<0.05).The SOD activity in serum of the MHD patients was negatively correlated with CACs(r=-0.484,P<0.01),while the levels of sICAM-1 and sVCAM-1 were positively correlated with CACs(r=0.441,P<0.01;r=0.561,P<0.01).Conclusion:The levels of sICAM-1 and sVCAM-1 and activity of SOD in serum of the MHD patients are abnormal.With the decreasing of the SOD activity and increasing of the levels of sICAM-1 and sVCAM-1,the degree of CAC in the MHD patients is aggravated.

Objective:Osteosarcoma is a highly aggressive primary malignant bone tumor commonly seen in children and adolescents,with a poor prognosis.Anchorage-dependent cell death(anoikis)has been proven to be indispensable in tumor metastasis,regulating the migration and adhesion of tumor cells at the primary site.However,as a type of programmed cell death,anoikis is rarely studied in osteosarcoma,especially in the tumor immune microenvironment.This study aims to clarify prognostic value of anoikis and tumor immune microenvironment-related gene in the treatment of osteosarcoma. Methods:Anoikis-related genes(ANRGs)were obtained from GeneCards.Clinical information and ANRGs expression profiles of osteosarcoma patients were sourced from the therapeutically applicable research to generate effective therapies and Gene Expression Omnibus(GEO)databases.ANRGs highly associated with tumor immune microenvironment were identified by the estimate package and the weighted gene coexpression network analysis(WGCNA)algorithm.Machine learning algorithms were performed to construct long-term survival predictive strategy,each sample was divided into high-risk and low-risk subgroups,which was further verified in the GEO cohort.Finally,based on single-cell RNA-seq from the GEO database,analysis was done on the function of signature genes in the osteosarcoma tumor microenvironment. Results:A total of 51 hub ANRGs closely associated with the tumor microenvironment were identified,from which 3 genes(MERTK,BNIP3,S100A8)were selected to construct the prognostic model.Significant differences in immune cell activation and immune-related signaling pathways were observed between the high-risk and low-risk groups based on tumor microenvironment analysis(all P<0.05).Additionally,characteristic genes within the osteosarcoma microenvironment were identified in regulation of intercellular crosstalk through the GAS6-MERTK signaling pathway. Conclusion:The prognostic model based on ANRGs and tumor microenvironment demonstrate good predictive power and provide more personalized treatment options for patients with osteosarcoma.