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 evaluation and relationship of hepatitis B virus(HBV)surface antigen(HBsAg)in clinical laboratory in different detection systems,further scientifically and reasonably to explain the test results for serving clinical practices.Methods:During the period from June 2021 to July 2022,100 425 specimens of patients with screened,suspected and confirmed HBV infections were collected from the clinical departments(mainly infectious hepatology)of Nanyang Central Hospital.Detection methodology included quantitative(electrochemiluminescence and chemiluminescence),qualitative(gold standard),semi-quantita-tive(ELISA),and highly sensitive HBV-DNA(RT-PCR)methods,and then analyzed the strengths and weaknesses and closeness be-tween each methodology.The relationship between the two Roche HBsAg detection systems was analyzed by correlation analysis.The HBsAg efficacy analysis was validated using Cut/Off value setting and detection limit,which in turn analyzed the distribution of false-positive and false-negative reporting models.Results:Detection results for low-and medium-concentration HBsAg showed a correla-tion between the electrochemical luminescence semi-quantitative method and ELISA method.ELISA method still had advantages in terms of sensitivity and specificity when detecting HBsAg,and there were no significant differences compared to domestic and interna-tional HBsAg quantitative detection systems.Performance validation conducted in accordance with the CNAS-GL038 document showed that the minimum detection limit for HBsAg calculated using the ELISA method in this laboratory was 0.1 U/ml.When the ROC curve Cut/Off value was set to 0.105,the area under the curve was the largest(AUC=0.986).Based on Roche's semi-quantitative electroche-miluminescence detection and patient medical history,in the common reporting model for hepatitis B five-item detection using ELISA method,HBsAg false positives occurred most frequently when HBsAg was positive alone,and HBsAg occurred most frequently in the false positive range when the OD value was less than 0.5.In ELISA method for detecting HBsAg,as the OD value increased from 0.01 to 0.10,the number of false-negative results also increased.Roche Elecsys HBsAg Ⅱ Quant Ⅱ and Elecsys HBsAg Ⅱ testing systems exhibited good linearity under certain conditions,with a ratio of approximately 1/0.18.In Elecsys HBsAg Ⅱ Quant Ⅱ detection sys-tem,the test results of HBsAg samples diluted 400 times were highly consistent with the original test results with a coefficient of deter-mination R2=0.993 8.Conclusion:There was a certain relationship between various detection systems of HBsAg at a suitable concen-tration.The detection of HBsAg by ELISA can meet the needs of clinical detection.

Objective:To explore the evaluation and relationship of hepatitis B virus(HBV)surface antigen(HBsAg)in clinical laboratory in different detection systems,further scientifically and reasonably to explain the test results for serving clinical practices.Methods:During the period from June 2021 to July 2022,100 425 specimens of patients with screened,suspected and confirmed HBV infections were collected from the clinical departments(mainly infectious hepatology)of Nanyang Central Hospital.Detection methodology included quantitative(electrochemiluminescence and chemiluminescence),qualitative(gold standard),semi-quantita-tive(ELISA),and highly sensitive HBV-DNA(RT-PCR)methods,and then analyzed the strengths and weaknesses and closeness be-tween each methodology.The relationship between the two Roche HBsAg detection systems was analyzed by correlation analysis.The HBsAg efficacy analysis was validated using Cut/Off value setting and detection limit,which in turn analyzed the distribution of false-positive and false-negative reporting models.Results:Detection results for low-and medium-concentration HBsAg showed a correla-tion between the electrochemical luminescence semi-quantitative method and ELISA method.ELISA method still had advantages in terms of sensitivity and specificity when detecting HBsAg,and there were no significant differences compared to domestic and interna-tional HBsAg quantitative detection systems.Performance validation conducted in accordance with the CNAS-GL038 document showed that the minimum detection limit for HBsAg calculated using the ELISA method in this laboratory was 0.1 U/ml.When the ROC curve Cut/Off value was set to 0.105,the area under the curve was the largest(AUC=0.986).Based on Roche's semi-quantitative electroche-miluminescence detection and patient medical history,in the common reporting model for hepatitis B five-item detection using ELISA method,HBsAg false positives occurred most frequently when HBsAg was positive alone,and HBsAg occurred most frequently in the false positive range when the OD value was less than 0.5.In ELISA method for detecting HBsAg,as the OD value increased from 0.01 to 0.10,the number of false-negative results also increased.Roche Elecsys HBsAg Ⅱ Quant Ⅱ and Elecsys HBsAg Ⅱ testing systems exhibited good linearity under certain conditions,with a ratio of approximately 1/0.18.In Elecsys HBsAg Ⅱ Quant Ⅱ detection sys-tem,the test results of HBsAg samples diluted 400 times were highly consistent with the original test results with a coefficient of deter-mination R2=0.993 8.Conclusion:There was a certain relationship between various detection systems of HBsAg at a suitable concen-tration.The detection of HBsAg by ELISA can meet the needs of clinical detection.

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 evaluate the performance of large language models in answering questions about childhood asthma, comprehensively understand the quality of their provision of information on children's health, and identify their limitations to facilitate model improvement. Methods Sixty common questions related to childhood asthma were formulated and put to two large language models known as Wenxin Yiyan and Zhipu Qingyan, which were publicly available in China. Three pediatric asthma specialists assessed the quality of the large language models'responses by using a blind method. Results Wenxin Yiyan scored higher in terms of accuracy, understanding, reliability, and logicality; Zhipu Qingyan scored higher in term of safety. Comparing the scores of the five different dimensions, it was found that large language models scored higher in terms of understanding, reliability and logicality, but relatively insufficient in terms of accuracy and safety. Conclusion Application of large language models in the education of children with asthma can provide useful references for asthma children and their parents. However, the current large language model technology still has certain limitations in terms of accuracy and safety, which requires further improvement and optimization.

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.

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.