Objective To propose a lung artery segmentation method that integrates shape and position prior knowledge, aiming to solve the issues of inaccurate segmentation caused by the high similarity and small size differences between the lung arteries and surrounding tissues in CT images. Methods Based on the three-dimensional U-Net network architecture and relying on the PARSE 2022 database image data, shape and position prior knowledge was introduced to design feature extraction and fusion strategies to enhance the ability of lung artery segmentation. The data of the patients were divided into three groups: a training set, a validation set, and a test set. The performance metrics for evaluating the model included Dice Similarity Coefficient (DSC), sensitivity, accuracy, and Hausdorff distance (HD95). Results The study included lung artery imaging data from 203 patients, including 100 patients in the training set, 30 patients in the validation set, and 73 patients in the test set. Through the backbone network, a rough segmentation of the lung arteries was performed to obtain a complete vascular structure; the branch network integrating shape and position information was used to extract features of small pulmonary arteries, reducing interference from the pulmonary artery trunk and left and right pulmonary arteries. Experimental results showed that the segmentation model based on shape and position prior knowledge had a higher DSC (82.81%±3.20% vs. 80.47%±3.17% vs. 80.36%±3.43%), sensitivity (85.30%±8.04% vs. 80.95%±6.89% vs. 82.82%±7.29%), and accuracy (81.63%±7.53% vs. 81.19%±8.35% vs. 79.36%±8.98%) compared to traditional three-dimensional U-Net and V-Net methods. HD95 could reach (9.52±4.29) mm, which was 6.05 mm shorter than traditional methods, showing excellent performance in segmentation boundaries. Conclusion The lung artery segmentation method based on shape and position prior knowledge can achieve precise segmentation of lung artery vessels and has potential application value in tasks such as bronchoscopy or percutaneous puncture surgery navigation.

Objective To analyze the incidence,colonization pathways,and predictive factors of bacterial colonization of epidural analgesia catheters in patients with chronic pain.Methods A total of 150 patients with chronic pain who underwent continuous epidural catheterization(catheter in-dwelling time of 7 to 10 days)were selected as study subjects.Samples from three sites were collect-ed for bacterial culture.Clinical data of the patients were collected,and the positive rate of bacterial culture,characteristics of bacterial species distribution,and bacterial colonization pathways were ana-lyzed.The efficacy of predictive factors was assessed using the receiver operating characteristic(ROC)curve.Results The positive rates of bacterial culture in samples from the skin swabbing fluid around the puncture site,the subcutaneous segment of the catheter,and the catheter tip were 22.0％,7.3％,and 8.7％,respectively.Staphylococcus epidermidis was the predominant colonizing bacterial species.Spearman correlation coefficient analysis showed a significant correlation between the results of bacterial culture from the skin around the puncture site and catheter tip colonization(r=0.47,P＜0.01).ROC curve analysis revealed that the area under the curve of bacterial culture results from the skin around the puncture site in predicting catheter tip bacterial colonization was 0.843,with a sensitivity of 84.9％and a specificity of 84.6％.Conclusion Bacterial migra-tion along the catheter is the main pathway for catheter tip bacterial colonization,and the results of bacterial culture from the skin around the puncture site are an effective predictive factor for the risk of bacterial colonization.

Objective To explore the inhibitory effect of saikosonin a(SSa)on pentylenetetrazol-induced acute epilepsy seizures in a mouse model of depression and explore the mechanism mediating this effect.Methods Male C57BL/6J mouse models of depression was established by oral administration of corticosterone via drinking water for 3 weeks,and acute epileptic seizures were induced by intraperitoneal injection of a single dose of pentylenetetrazole.The effect of intraperitoneal injection of SSa prior to the treatment on depressive symptoms and epileptic seizures were assessed using behavioral tests,epileptic seizure grading and hippocampal morphology observation.ELISA was used to detect blood corticosterone levels of the mice,and RT-qPCR was performed to detect the pro-and anti-inflammatory factors.Microglia activation in the mice was observed using immunofluorescence staining.Results The mouse model of corticosterone-induced depression showed body weight loss and obvious depressive behaviors with significantly increased serum corticosterone level(all P<0.05).Compared with those with pentylenetetrazole-induced epilepsy alone,the epileptic mice with comorbid depression showed significantly shorter latency of epileptic seizures,increased number,grade and duration of of seizures,reduced Nissl bodies in hippocampal CA1 and CA3 neurons,increased number of Iba1-positive cells,and significantly enhanced hippocampal expressions of IL-1β,IL-10,TNF-α and IFN-γ.Pretreatment of the epileptic mice with SSa significantly prolonged the latency of epileptic seizures,reduced the number,duration,and severity of seizures,increased the number of Nissl bodies,decreased the number of Iba1-positive cells,and reduced the expression levels of IL-1β,IL-10,TNF-α,and IFN-γ in the hippocampus(P<0.05).Conclusion Depressive state aggravates epileptic seizures,increases microglia activation,and elevates inflammation levels.SSA treatment can alleviate acute epileptic seizures in mouse models of depression possibly by suppressing microglia activation-mediated inflammation.

Objective To explore the inhibitory effect of saikosonin a(SSa)on pentylenetetrazol-induced acute epilepsy seizures in a mouse model of depression and explore the mechanism mediating this effect.Methods Male C57BL/6J mouse models of depression was established by oral administration of corticosterone via drinking water for 3 weeks,and acute epileptic seizures were induced by intraperitoneal injection of a single dose of pentylenetetrazole.The effect of intraperitoneal injection of SSa prior to the treatment on depressive symptoms and epileptic seizures were assessed using behavioral tests,epileptic seizure grading and hippocampal morphology observation.ELISA was used to detect blood corticosterone levels of the mice,and RT-qPCR was performed to detect the pro-and anti-inflammatory factors.Microglia activation in the mice was observed using immunofluorescence staining.Results The mouse model of corticosterone-induced depression showed body weight loss and obvious depressive behaviors with significantly increased serum corticosterone level(all P<0.05).Compared with those with pentylenetetrazole-induced epilepsy alone,the epileptic mice with comorbid depression showed significantly shorter latency of epileptic seizures,increased number,grade and duration of of seizures,reduced Nissl bodies in hippocampal CA1 and CA3 neurons,increased number of Iba1-positive cells,and significantly enhanced hippocampal expressions of IL-1β,IL-10,TNF-α and IFN-γ.Pretreatment of the epileptic mice with SSa significantly prolonged the latency of epileptic seizures,reduced the number,duration,and severity of seizures,increased the number of Nissl bodies,decreased the number of Iba1-positive cells,and reduced the expression levels of IL-1β,IL-10,TNF-α,and IFN-γ in the hippocampus(P<0.05).Conclusion Depressive state aggravates epileptic seizures,increases microglia activation,and elevates inflammation levels.SSA treatment can alleviate acute epileptic seizures in mouse models of depression possibly by suppressing microglia activation-mediated inflammation.

Xiaoxuming decoction is one of the classical prescriptions in ancient times,mainly used for treating stroke syndrome,with significant therapeutic effects.Recent studies have found that it is also effective for other neurological diseases besides stroke,such as facial paralysis and vertigo,but there are few reports on related achievements,lacking systematic organization and summary.This article systematically summarizes the application practice and mechanism of Xiaoxuming decoction in the above-mentioned diseases,aiming to provide a solid foundation and scientific reference for deepening the exploration of Xiaoxuming decoction in the field of nervous system disease.

A semi-supervised learning method based on multi-scale consistency and regional reliability perception is proposed to combine unlabeled data with a small amount of labeled data to achieve high-performance lung tumor segmentation tasks.A multi-scale consistency mean teacher framework is used to construct a multi-scale consistency loss and constrain the outputs in the mean teacher network to be consistent across multiple scales,so that the model learns richer consistency knowledge.In addition,a regional reliability perception scheme is adopted to make the knowledge exchange between consistency learning more efficient,enabling the model to learn more valid and reliable knowledge from unlabeled data.The evaluation on the lung tumor dataset in the Medical Segmentation Decathlon shows superior performance of the proposed method over current state-of-the-art semi-supervised learning methods,validating its effectiveness.

An airway segmentation method based on coordinate information and multi-scale parallel network is proposed to solve the problem of insufficient accuracy of airway model in surgical navigation.Airway features at different scales are learned separately by a parallel network to address the feature conflict arising from airways of different sizes.Then,a coordinate guided up-sampling module is designed to utilize coordinate information from shallow features for guiding reconstruction of deeper features,thus restricting the spatial location of the target and improving the model accuracy.Finally,a channel guided multi-scale feature aggregation module is constructed to capture semantic details across multiple scales and investigate channel relationships between features at different scales.The proposed method and other models are trained and tested on two public datasets,namely LIDC-IDRI and EXACT'09.Experimental results show that the proposed method achieves an average Dice coefficient of 93.20%which is 2.61%higher than 3D U-Net,a false positive rate of only 0.012%,a tree length detection rate of 88.59%,and a branch detection rate of 97.42%,demonstrating that the method can be applied to lung disease diagnosis or navigation bronchoscopy.

Objective To optimize the method of combining azomethane oxide(AOM)and dextran sodium sulfate(DSS)to create a colitis-associated colon cancer(CAC)model,and to explore the pathogenesis of the intestinal flora in CAC.Methods Model groups A and B were established by one and two injections of AOM,respectively,combined with free drinking of DSS,and a normal control group was injected intraperitoneally with normal saline combined with purified water(n=10 mice per group).The better modeling scheme was selected by comprehensive evaluation of the disease activity index score,colon length,tumor rate,and mortality.Serum levels of interleukin-6(IL-6),tumor necrosis factor-α(TNF-α),and tumor markers CA199,CEA,and CA724 were detected by enzyme-linked immunosorbent assay.Colon lesions were evaluated by hematoxylin and eosin(HE)staining.Changes in the intestinal microbiota in CAC mice were detected by 16S rDNA high-throughput gene sequencing analysis of mouse feces.Results Both single and enhanced AOM injections combined with DSS induced CAC mice;however,colon growths were larger,more closely arranged,and their morphological size was more consistent in group B compared with group A,with a tumor-formation rate of 100％.IL-6 levels were increased in the model group compared with the normal group(P＜0.05).TNF-α levels were increased in the model group compared with the normal group(P＞0.05).The CA199 and CEA levels were also significantly increased(P＜0.05),but CA724 levels were not.Infiltration of inflammatory cells in the colon detected by HE pathology was accompanied by high-grade intraepithelial tumor-like changes on the surface of the lumen.The diversity and abundance of intestinal bacteria were decreased in CAC mice compared with normal mice:phyla Verrucomicrobiota and Actinobacteriota were significantly increased(P＜0.05),Bacteroidota and Campilobacterota were significantly decreased(P＜0.05).Akkermansia,Prevotellaceae,Ruminococcus,and Bifidobacterium were significantly increased(P＜0.05),and Roseburia,Rikenellaceae_RC9_gut_group,Anaeroplasma,and Muribaculaceae were significantly decreased(P＜0.05).Conclusions Two injections of AOM combined with 1.5％(1.5 g/100 mL)DSS induced CAC model mice with a high colon-tumorigenesis rate,uniform tumor morphology,and low mortality,and may thus be the preferred modeling scheme for pharmacodynamic experiments.Disorders or dysfunction of the intestinal flora may lead to increased permeability,loss of intestinal mucosal barrier function,and the release of enterogenic endotoxins,Resultsing in a sustained inflammatory response,as an indirect or direct cause of CAC pathogenesis.

Objective To explore the risk factors and countermeasures of the perfusionist-related near-miss event (NME) in cardiopulmonary bypass (CPB). Methods The clinical data of the patients who underwent cardiac surgery in the Department of Cardiovascular Surgery, Nanfang Hospital, Southern Medical University from March 2020 to July 2021 were retrospectively analyzed. According to whether NME occurred during the operation, the patients were divided into an NME group and a non-NME group. The clinical data of the two groups were compared, and the risk factors for NME were analyzed. Results A total of 702 patients were enrolled, including 424 males and 278 females with a median age of 56.0 years. There were 125 patients in the NME group and 577 patients in the non-NME group. The occurrence rate of NME was 17.81%. Univariate analysis showed that there were statistical differences between the two groups in the gender, body surface area, CPB time, European system for cardiac operative risk evaluation score, emergency surgery, type of surgery, night CPB initiation, modified ultrafiltration use, multi-device control, average operation time, et al. (all P<0.05). The above variables were dimensionality reduction processed by least absolute shrinkage and selection operator regression, and the λ of minimum mean square error of 10-fold cross validation was 0.014. The variables of the corresponding model were selected as follows: multi-device control, night CPB initiation, minimum hematocrit, modified ultrafiltration use, CPB time. The results of multivariate logistic regression showed that night CPB initiation [OR=9.658, 95%CI (4.735. 19.701), P<0.01] and CPB time [OR=1.003, 95%CI (1.001, 1.006), P=0.014] were independent risk factors for NME. Conclusion Night CPB initiation and CPB time are independent risk factors for NME during CPB, which should be recognized and early warned in clinical work.

OBJECTIVE To analyze the characteristics and influencing factors of medicine cost for orthopedic surgery patients in Shanxi province， and to provide reference for the rational management of medicine cost in orthopedic surgery patients. METHODS A retrospective analysis was conducted on the case information of 584 204 orthopedic surgery patients in Shanxi province from 2016 to 2021. Medicine cost was analyzed by year， region， hospital level， type of surgery and type of surgical incision. Single factor analysis and generalized linear regression model were used to analyze the influencing factors of total medicine cost， and structural equation model was used for verification. RESULTS The research findings indicated that joint replacement surgery （42.61%） and post-fracture external fixation surgery （12.60%） were the most common types of procedures. There was statistical significance in medicine cost for different surgical types among different regions and hospital levels （P＜0.05）. In the Jinzhong region， the total medicine cost for post-fracture external fixation surgery was the highest （[ 11 719.97±4 374.73） yuan]， while in tertiary grade A hospitals， the total medicine cost for post-fracture external fixation surgery was also the highest （[ 13 584.71±4 531.82） yuan]. Among class Ⅰ incision surgeries， the cost of antibiotics for post-fracture external fixation surgery was the highest （[ 1 176.25±341.42） yuan]. Generalized linear regression model revealed that hospital location， hospital level， gender， payment method， length of hospital stays， and surgical type were the independent influencing factors for total medicine cost （P＜0.05）. Structural equation model further disclosed that hospital level， payment type， and surgical type had significant effects on total medicine cost （P＜0.05）. CONCLUSIONS Attention should be paid to the high cost of antibiotics for class Ⅰ incision surgery， and further research on their rational use should be conducted.