Objective:To investigate the value of biparametric-MRI (bpMRI) based peritumoral radiomics for preoperative prediction of extraprostatic extension (EPE) in prostate cancer (PCa).Methods:In this cross-sectional study, consecutive bpMRI of patients undergoing prostatectomy for PCa were retrospectively collected from the First Medical Center (center 1) and the Third Medical Center (center 2) of Chinese PLA General Hospital. A total of 274 patients were finally enrolled. Patients at center 1 from January 2020 to December 2022 were randomly divided into a training set (149 cases) and an internal validation set (63 cases) by stratified random sampling. Patients at center 2 from January 2023 to March 2024 were assigned to the external test set (62 cases). Patients were categorized into EPE-positive group and EPE-negative group according to pathological assessment postoperatively. In the training set, there were 49 cases in EPE-positive group and 100 cases in EPE-negative group. In the internal validation set, there were 26 cases in EPE-positive group and 37 cases in EPE-negative group. In the external test set, there were 22 cases in EPE-positive group and 40 cases in EPE-negative group. Axial T 2WI and apparent diffusion coefficient (ADC) images were manually annotated to obtain index lesion regions of interest (ROIs), with the peritumoral ROIs subsequently delineated by semi-automatic segmentation technique. Radiomics features were extracted from intra-tumoral, peri-tumoral, and intra-tumoral plus peri-tumoral ROIs. The training set data was employed to select and optimize features to build the radiomics models. The logistic regression analysis was used to develop radiomics, clinical, and integrated models. The predictive performance was assessed by the area under the receiver operating characteristic curve (AUC) in the external test set, and compared by the DeLong test. The sensitivity and specificity were compared by the exact McNemar test. Results:In the external test set, the peri-tumoral radiomics model based on bpMRI showed the highest performance in evaluating EPE, with an AUC of 0.739 (95% CI 0.611-0.842), which was identified as the optimal radiomics model. EPE grade ( OR=6.151, 95% CI 3.371-11.226, P<0.001) was incorporated into the clinical model, with an AUC of 0.780 (95% CI 0.657-0.875) in the external test set. The integrated model had an AUC of 0.817 (95% CI 0.698-0.904) in the external test set. There was no statistically significant difference in comparisons of AUCs among the three models (all P>0.05). The sensitivity of the integrated model (68.2%) showed no significant difference from those of the clinical model and the optimal radiomics model (77.3% and 86.4%, respectively; P=0.500 and P=0.289). However, the specificity of the integrated model (85.0%) was significantly higher than those of the clinical model (67.5%, P=0.016) and the optimal radiomics model (50.0%, P<0.001). Conclusion:A bpMRI-based peritumoral radiomics integrating clinical model demonstrates high performance for preoperative prediction of EPE in PCa.

Objective:To investigate the value of biparametric-MRI (bpMRI) based peritumoral radiomics for preoperative prediction of extraprostatic extension (EPE) in prostate cancer (PCa).Methods:In this cross-sectional study, consecutive bpMRI of patients undergoing prostatectomy for PCa were retrospectively collected from the First Medical Center (center 1) and the Third Medical Center (center 2) of Chinese PLA General Hospital. A total of 274 patients were finally enrolled. Patients at center 1 from January 2020 to December 2022 were randomly divided into a training set (149 cases) and an internal validation set (63 cases) by stratified random sampling. Patients at center 2 from January 2023 to March 2024 were assigned to the external test set (62 cases). Patients were categorized into EPE-positive group and EPE-negative group according to pathological assessment postoperatively. In the training set, there were 49 cases in EPE-positive group and 100 cases in EPE-negative group. In the internal validation set, there were 26 cases in EPE-positive group and 37 cases in EPE-negative group. In the external test set, there were 22 cases in EPE-positive group and 40 cases in EPE-negative group. Axial T 2WI and apparent diffusion coefficient (ADC) images were manually annotated to obtain index lesion regions of interest (ROIs), with the peritumoral ROIs subsequently delineated by semi-automatic segmentation technique. Radiomics features were extracted from intra-tumoral, peri-tumoral, and intra-tumoral plus peri-tumoral ROIs. The training set data was employed to select and optimize features to build the radiomics models. The logistic regression analysis was used to develop radiomics, clinical, and integrated models. The predictive performance was assessed by the area under the receiver operating characteristic curve (AUC) in the external test set, and compared by the DeLong test. The sensitivity and specificity were compared by the exact McNemar test. Results:In the external test set, the peri-tumoral radiomics model based on bpMRI showed the highest performance in evaluating EPE, with an AUC of 0.739 (95% CI 0.611-0.842), which was identified as the optimal radiomics model. EPE grade ( OR=6.151, 95% CI 3.371-11.226, P<0.001) was incorporated into the clinical model, with an AUC of 0.780 (95% CI 0.657-0.875) in the external test set. The integrated model had an AUC of 0.817 (95% CI 0.698-0.904) in the external test set. There was no statistically significant difference in comparisons of AUCs among the three models (all P>0.05). The sensitivity of the integrated model (68.2%) showed no significant difference from those of the clinical model and the optimal radiomics model (77.3% and 86.4%, respectively; P=0.500 and P=0.289). However, the specificity of the integrated model (85.0%) was significantly higher than those of the clinical model (67.5%, P=0.016) and the optimal radiomics model (50.0%, P<0.001). Conclusion:A bpMRI-based peritumoral radiomics integrating clinical model demonstrates high performance for preoperative prediction of EPE in PCa.

Objective:To establish an evaluation model for occupational hazard prevention and control levels in coal mines, to explore the combination of Analytic Hierarchy Process (AHP) and fuzzy comprehensive evaluation, to evaluate the overall situation of occupational hazard prevention and control in coal mines.Methods:In November 2021, Collect information of occupational hazards and their prevention and control status in 30 coal mines. AHP model was first constructed for the elements of occupational hazard prevention and control in coal mines. Then, the AHP and fuzzy comprehensive evaluation method was applied to comprehensively evaluate and grade the occupational hazard prevention and control in coal mines, using the principles of maximum membership and weighted average.Results:The hierarchical fuzzy comprehensive evaluation results for typical coal mine were basically consistent with its occupational hazard prevention and control situation. The dust prevention and control situation was good, the noise prevention and control situation is average, the occupational health monitoring situation was good, the occupational health management situation was average, and the overall level of occupational hazard prevention and control was good.Conclusion:The hierarchical fuzzy comprehensive evaluation model for occupational hazard prevention and control levels, combined with the principles of maximum membership and weighted average, can objectively evaluate and reflect the overall situation of occupational hazard prevention and control in coal mines.

Objective:To establish an evaluation model for occupational hazard prevention and control levels in coal mines, to explore the combination of Analytic Hierarchy Process (AHP) and fuzzy comprehensive evaluation, to evaluate the overall situation of occupational hazard prevention and control in coal mines.Methods:In November 2021, Collect information of occupational hazards and their prevention and control status in 30 coal mines. AHP model was first constructed for the elements of occupational hazard prevention and control in coal mines. Then, the AHP and fuzzy comprehensive evaluation method was applied to comprehensively evaluate and grade the occupational hazard prevention and control in coal mines, using the principles of maximum membership and weighted average.Results:The hierarchical fuzzy comprehensive evaluation results for typical coal mine were basically consistent with its occupational hazard prevention and control situation. The dust prevention and control situation was good, the noise prevention and control situation is average, the occupational health monitoring situation was good, the occupational health management situation was average, and the overall level of occupational hazard prevention and control was good.Conclusion:The hierarchical fuzzy comprehensive evaluation model for occupational hazard prevention and control levels, combined with the principles of maximum membership and weighted average, can objectively evaluate and reflect the overall situation of occupational hazard prevention and control in coal mines.

Objective Comprehensively analyzing the epilepsy-related genes by bioinformatics methods,and to explore their functions based on network and pathway analysis.Methods I Collected epilepsy-related genes through OMIM,DisGeNET,GeneCards databases and literatures deposited in PUBMED.Performed gene ontology(GO)and pathway enrichment analysis using"ClusterProfiler"R package,and the correlation between pathways was identified through pathway crosstalk analysis.Epilepsy-related genes were then mapped to human protein-protein interaction network(PPIN)to obtain epilepsy-specific PPIN,and extracted the hub and potential genes based on network topology.Results A total of 572 epilepsy-related genes were collected,642 significant GO biological process items and 80 Kyoto Encyclopedia of Genes and Genomes(KEGG)pathways,including learning,memory and cognition,were obtained by enrichment analysis.Based on PPIN analysis,10 hub genes of the epilepsy were extracted and most of them are gamma-aminobutyric acid(GABA)receptor genes.By integrating PPIN and WGCNA analysis,17 potential genes were extracted,involving heat shock protein,growth factor receptor binding protein,etc.Conclusion Epilepsy is a complex process,involving the abnormality of multiple functional genes,multiple biological processes and pathways are closely contact through multiple functional genes,and collectively lead to the occurrence of epilepsy.

Objective:Anatomical study of the cross-donor flap pedicled with the peroneal artery and the discussion of the effect of clinical application, so as to describe a new method for the repair of large-area soft tissue defects in the foot and ankle.Methods:From June 2016 to August 2019, 12 specimens of adult lower limbs were studied. The popliteal arteries were perfused with perchloroethylene-ethyl acetate-lead oxide and red perchloroethylene-ethyl acetate. The origin, number, outer diameter, course and distribution of perforating branches of the peroneal artery were anatomically observed. The source, distribution and anastomosis of the skin nutrient vessels in the posterolateral area of the calf were also studied. Relationship of the blood supply between the peroneal arteries and veins and the nutritional vessels of the sural nerve were observed. In 9 patients, the peroneal artery and vein were designed as the pedicle of cross-donor flap in the repair of large soft tissue defects of foot and ankle. The patients were entered follow-up through outpatient visits and telephone interviews.Results:Among the 12 adult specimens of lower limbs, there were 65 perforating branches from the peroneal artery, 4-7 branches on each side, with an average of (5.41±1.00) branches. The diameter of the penetrating deep fascia was(1.07±0.36) mm. The perforator branches were mostly distributed in 3 sections of 4.0-11.0 cm, 16.0-21.0 cm and 24.0-27.0 cm away from the lateral malleolus, accounting for 48%, 24% and 17% of the total number of perforators, respectively. The outer diameters of the perforator vessels were (0.92±0.26)(0.56-1.68) mm, (1.32±0.38)(0.60-2.14) mm, and (0.98±0.28)(0.62-1.36) mm. The length of the pedicle of the perforator vessels were (3.91±0.96)(2.15-5.78) cm, (5.34±0.50)(4.01-5.85) cm, and (3.31±1.15)(2.16-5.66) cm. The perforating branches in the 3 sections appeared constantly. The diameter of the vessels was≥0.5 mm with an average length of at(4.19±1.16)(2.15-5.85) cm. The vascular network of the flap in the posterolateral area of the calf was mainly composed of subdermal vascular network and deep fascial vascular network. The deep fascia vascular network in the posterolateral area of the calf had 3 obvious longitudinal chains, including the medial sural neurotrophic vascular chain, the small saphenous vein-sural nerve communicating branch vascular chain and the lateral sural neurotrophic vascular chain, which took the nutrient blood supply from the perforating branches of the peroneal artery also formed a longitudinal and transverse anastomosis between the perforating branches of the peroneal artery. In the clinical trials performed on 9 patients, all soft tissue defects of foot and ankle were repaired. The composite tissue flap survived without infection or necrosis. The follow-up was lasted for 12 months to 3 years. The postoperative function and the donor site appearance were good and the patients walked normally. According to the American Orthopaedic Foot and Ankle Association(AOFAS) foot scoring standard, the function of affected feet were evaluated. Five patients were excellent and 4 were good.Conclusion:The cross-donor flaps pedicled with peroneal arteries and veins has sufficient blood supply and a large area. It provides a method for the repair of large-area soft tissue defects in the foot and ankle.

Objective To develop an electronic infusion alarm system with low cost and high safety and reliability.Methods The system was composed of modules of sensor, control, alarm and DC power supply. The integrated operational amplifier was used to amplify the voltage signals from the cantilever sensor, and NE555 timer controlled the system give out alarm when 10% liquid remained in the bottle.Results The system could alarm when 10% liquid remained in the bottle, and three gears were designed for the common infusion bottles in the market.Conclusion The system is easy to operate and maintain, and thus can be popularized in all hospitals and clinics.

Objective To study risk factors of cardiovascular disease (CVD) and status of bone mineral density (BMD) in women with hypoestrogenism.Methods From Jul 2011 to April 2013,a total of 256 women with hypoestrogenism in the First Affiliated Hospital of Shanxi Medical University were enrolled in this retrospective study,which were divided into four groups:133 women in ppausal group,25 women in premature ovarian failure (POF) group,67 women in menopausal transition group and 31 women in premature ovarian failure transition group.General statue,CVD risk factors and BMD were compared among four groups.General statue include menopausal period,menopausal symptoms (Kupperman Index),CVD risk factors include body mass index,blood pressure,waist circumference,waist-hip ratio,blood lipids and glucose,BMD include left hip,lumbar spine bone mineral density and T or Z value.Results (1) The median menopausal period were 3.4 years in postmenopausal group and 3.6 years in premature ovarian failure group,which did not show no statistical difference (P ＞ 0.05).Kupperman Index in four groups were 12 in postmenopausal group,9 in POF group,9 in menopausal transition group and 8 in premature ovarian failure transition group,which reached statistical difference (P ＜ 0.05).(2) The difference of body mass index (BMI),waist circumference,waist-hip ratio,diastolic blood pressure were no statistically significant among four groups(P ＞ 0.05) ; the systolic blood pressure in four groups were 120,110,110,110 mm Hg (1 mm Hg =0.133 kPa),their differences were statistically significance (P ＜ 0.05); the high-density lipoprotein (HDL-C) was 1.6 mmol/L in postmenopausal group,and 1.3 mmol/L in premature ovarian failure transition group,their differences were all statistically significance (P ＜ 0.05) ; the difference of the fasting plasma glucose (FPG) was not statistically different in 4 groups (P ＞0.05).(3) The abnormal rate of lower bone mass in lumbar spine were 57％ (46/81) postmenopausal group,8/15 in POF group,32％ (9/28) in menopausal transition group,12/19 in premature ovarian failure transition group,and osteoporosis was 9％ (7/81),3/15,1％ (3/28)and 0 respectively,their differences were statistically different (P ＜ 0.05) ; the abnormal rate of BMD of left hip and lumbar spine of 11/15 and 12/16 in POF group was higher than 65％ (53/81) in postmenopausal group.In the mean time,the abnormal rate of BMD of left hip and lumbar spine were,12/19 and 10/20 in premature ovarian failure transition group,which were significantly higher than 43％ (12/28) and 39％ (12/31) in the menopausal transition group.Conclusions The menopausal symptoms resulting from hypoestrogenism in natural postmenopausal women are mostly remarkable.The decrease of BMD in lumbar spine is more significant than that of left hip among postmenopausal women.Women with earlier menopause was prone to cause the changes of blood fat and abnormal of BMD,especially HDL-C decreased significantly compared with those natural postmenopause,it is more likely to cause CVD and osteoporosis.

Objective: To investigate the case-mix method by clinical pathway. Methods: K-MEANS cluster analysis was applied to case-mix classification and artificial neural network was used for case-mix prediction. Results: Five hundred and twenty three inpatient records constructed a case-mix classification scheme of 4 groups.Statistical significant difference of costs existed in 4 groups.The training error of artificial neural network was low(0.0 029) and the predicting result was accurate(98.91%). Conclusion: Case-mix result was more reasonable using records under clinical pathway.The existing models of case-mix depend on dividing individual variables, but artificial neural network does not.

Objective: To compare the pharmacokinetics and bioavailability of verapamil hydrochloride pulsed release tablets with core tablets. Methods: Latin test was employed in the single oral administration of the Ⅲ,Ⅳ type of pulsed release tablets and core tablets in 8 volunteers. The pharmaceutics behavior of the tablet in vivo was evaluated by the lag time, c max ,AUC and so on. Results: The pharmacokinetics results demonstrated that the Ⅲ type of pulsed tablet in humans could be released after about 4 h lag time. In a proper range, pulsed release tablets only changed the beginning time while c max and AUC were not different from the core tablets. Conclusion: A new system to reduce the early morning symptoms of ischemic heart disease is prepared. [