Objective:To explore the application effect of high-fidelity intelligent simulator combined with scenario simulation for emergency response training in the Department of Radiology, and to improve the emergency preparedness of medical, nursing, and technical staff in managing contrast agent adverse reactions.Methods:From January to July 2024, 132 medical, nursing, and technical staff from the Department of Radiology of a tertiary hospital in Chengdu City, China were selected as the training subjects. The high-fidelity intelligent simulator combined with scenario simulation teaching mode was used to conduct emergency response training for the participants. The differences in theoretical knowledge and post competence regarding contrast agent adverse reactions among the staff were compared before and after the training. A self-made questionnaire was used to investigate their needs and satisfaction of the emergency response training. SPSS 26.0 was used for data analysis. The differences in theoretical knowledge and post competence scores before and after training were compared using the paired samples t test. Results:After the training, the average score of theoretical knowledge examination increased from (84.32±10.19) points to (90.34±7.87) points, and the difference was statistically significant ( P<0.001). After the training, the scores of knowledge reserve, operational skills, situational decision-making ability, professional literacy, comprehensive literacy, and overall post competency were all significantly higher than those before the training ( P<0.05). The satisfaction score of emergency response training was (4.17±0.25) points. Conclusions:High-fidelity intelligent simulator combined with scenario simulation training improved the emergency preparedness and teamwork of radiology staff in clinical emergencies. The training received high recognition and satisfaction from the participants, which is of great significance for clinical emergency response and patient safety.

Objective:To learn about the clinical characteristics of patients with neurobrucellosis (NB) and provide references for clinical diagnosis and treatment of NB.Methods:The clinical data of 22 NB patients diagnosed and treated at Beidahuang Industry Group General Hospital from January 2018 to November 2024 and 178 healthy individuals undergoing physical examinations during the same period were retrospectively collected. The epidemiological characteristics, clinical manifestations, laboratory tests, treatment and prognosis of NB patients were analyzed.Results:Among the 22 NB patients, 12 were males (54.55%) and 10 were females (45.45%). The age was (51.77 ± 12.75) years old, ranging from 27 to 80 years old. Most of the patients were farmers (95.45%, 21/22), and 16 cases (72.73%) had contacted with cattle/sheep. The onset seasons were mainly in summer (40.91%, 9/22) and spring (31.82%, 7/22). Among all NB patients, there were 10 cases of encephalitis/meningoencephalitis, 9 cases of myelitis, and 3 cases of meningitis. The general symptoms were mainly fever (68.18%, 15/22), the neurological symptoms were mainly nausea and vomiting (36.36%, 8/22), and the physical signs were mainly muscle weakness (50.00%, 11/22) and pathological signs (45.45%, 10/22). The laboratory test results showed that the levels of hemoglobin, hematocrit, C-reactive protein, total protein, albumin, γ-glutamyl transpeptidase, α-hydroxybutyric acid dehydrogenase, lactate dehydrogenase, and glutathione reductase in NB patients were significantly different from those in healthy individuals ( P < 0.001). Brain magnetic resonance imaging revealed ischemic changes in 5 cases (22.73%), abnormal brain signals in 2 cases (9.09%), and demyelinating lesions in white matter in 1 case (4.55%). After treatment, 18 NB patients were followed up and showed good prognosis, with only 2 cases exhibiting varying degrees of sequelae (walking disorders or memory impairment). Conclusions:The clinical manifestations of NB patients are diverse. A comprehensive judgment should be made by combining epidemiological characteristics, clinical manifestations, laboratory tests and imaging examinations.

Purpose To construct a nomogram model based on conventional ultrasound(US)and contrast-enhanced ultrasound(CEUS)features for predicting extrathyroidal extension(ETE)of papillary thyroid carcinoma,and to evaluate its diagnostic performance.Materials and Methods A retrospective analysis of clinical and ultrasound data from 715 papillary thyroid carcinoma patients in the First Medical Center of Chinese PLA General Hospital from January 2017 to December 2022 was conducted.The patients were divided into two groups based on the presence or absence of ETE.Univariate and Multivariate analyses was performed to identify independent risk factors associated with ETE.Three models were established:clinical,clinical+US and clinical+US+CEUS.The nomogram of the best model was constructed and validated.Results The model based on clinical+US+CEUS features performed the best,the area under the curve was 0.885.Multivariate analysis indicated that older age(OR=1.029,95%CI 1.011-1.047),higher body mass index(OR=1.108,95%CI 1.049-1.171),capsular contact<25%(OR=4.716,95%CI 2.079-10.701),capsular contact 25%-50%(OR=21.320,95%CI 8.240-55.160),capsular contact>50%(OR=24.045,95%CI 6.792-85.126),nodules adjacent to the lateral side(OR=4.265,95%CI 1.366-13.318),nodules adjacent to the medial side(OR=6.416,95%CI 2.067-19.920)and interrupted capsular enhancement(OR=6.044,95%CI 3.588-10.180)were independent risk factors for ETE(all P<0.05).Decision curve analysis and clinical impact curve indicated high net benefit and strong clinical utility of the model.Ten-fold cross-validation showed good model stability.Conclusion The nomogram model constructed based on US and CEUS features demonstrates good predictive performance and holds significant clinical utility.

The purpose of this study was to clarify the incidence of ketosis in dairy cows in large-scale dairy farms and the effect of ketosis on the subsequent lactation performance of dairy cows.In this experiment,79 perinatal cows in 8 stages of prenatal 21,14,7 days,delivery day,postpartum 3,7,14,21 days were selected to determine the blood biochemical indexes such as BHB,GLU,NE-FA and ALT in their blood.According to the concentration of BHB in the blood,they were divided into healthy group(CON),subclinical ketosis group(SCK)and clinical ketosis group(CK).There was a disorder of mineral elements in dairy cows in the experimental ranch,and the liver function of dairy cows was abnormal,and there was a disorder of energy metabolism.The incidence of keto-sis in dairy cows in the survey pasture was 26.14％,of which the incidence of SCK was 19.32％,and the incidence of CK was 6.82％,which was comparable to the global average incidence and lower than the average incidence in China.Compared with CON cows,SCK and CK cows had energy metabolism disorders and abnormal liver function,and CK cows were more serious.The milk yield of dairy cows with ketosis decreased significantly.The milk fat rate of dairy cows in SCK group was higher than that in CON group,while the milk fat rate of dairy cows in CK group was significantly lower than that in CON group.The fat-to-egg ratio of dairy cows in CK group was sig-nificantly lower than that in SCK group and CON group.The changes of lactation performance in different types of ketosis at 6 months after ketosis were different,and the lactation performance of dairy cows in CON group was the most stable.In the production of pastures,timely and effective treatment and management are essential for restoring the health and milk production performance of dairy cows.Ketosis can lead to disorder of energy metabolism and abnormal liver function in dairy cows,reduce milk yield,and have a continuous effect on lactation performance of dairy cows.Maintaining the health of dairy cows is the key to improving milk production and maintaining sta-ble lactation performance.For different types of ketosis cows,corresponding management and treatment measures should be taken to reduce economic losses.

Objective:To conduct a scoping review of the related research on the maternal-fetal attachment in pregnant women after assisted reproductive technology (ART), summarize the research status of maternal-fetal attachment, and provide reference for future research prospects.Methods:A search was conducted for studies published in PubMed, Embase, EBSCO, Web of Science, Scopus, Cochrane Library, China National Knowledge Infrastructure, Wanfang, and Chinese Medical Journal Full-text Database, from the date of database construction to January 24, 2024. The results of the literature were screened, extracted, and summarized.Results:A total of 15 studies were included. Among them, 14 observational studies reported that the overall status of maternal-fetal attachment of ART pregnant women was in good condition, but the data sources of domestic research were insufficient. Three evaluation tools were used in 15 articles. The related factors were summarized as demographic factors (age and personality traits), pregnancy-related factors (such as conception method, gestational age, history of infertility, history of miscarriage, etc), and psychosocial factors (such as anxiety, depression, conflicts, attitudes towards childbirth, acceptance of pregnancy, social support, marital satisfaction, etc). Four studies put forward suggestions or conducted intervention studies on improving maternal-fetal attachment of ART pregnant women.Conclusions:There is a lack of attention to the maternal-fetal attachment of ART pregnant women in China. Due to the complexity and diversity of its influencing factors, we should deeply explore the characteristics of maternal-fetal attachment development of ART pregnant women at all stages of pregnancy, and carry out more high-quality research. At the same time, we should pay attention to and carry out early screening of maternal-fetal attachment disorders, formulate targeted interventions, so as to promote the establishment of high-quality maternal-fetal attachment, and lay a solid foundation for future maternal-infant relationships.

Objective To compare the ability of single-phase,dual-phase,and triphasic models in forecasting postoperative pancreatic fistula(POPF)after pancreaticoduodenectomy(PD)using radiomics based on triphasic enhanced CT.Methods A total of 181 patients who underwent multi-phase enhanced CT prior to PD were retrospectively selected,and the collection phase included non-contrast,arterial phase(AP),and equilibrium phase(EP).3D Slicer software was utilized to segment the region of interest(ROI)for the postoperative pancreatic remnant on each phase.Radiomics feature extraction was performed using R software,followed by feature selection through least absolute shrinkage and selection operator(LASSO)regression with five-fold cross-validation to prevent model overfitting.The effective features selected were combined in a weighted linear manner to obtain a Radiomics score(Radscore).The patients were divided into training set and test set in a 7︰3 ratio.Logistic regression was employed to construct seven POPF prediction models(three single-phase,three dual-phase,and one triphasic models)based on different phase combinations.The diagnostic performance of the models was evaluated using the area under the curve(AUC)of receiver operating characteristic(ROC)curve,accuracy(ACC),sensitivity(SEN),and specificity(SPE).The DeLong test was applied to compare the differences in AUC among different models.Results After LASSO regression,24 effective features associated with POPF were selected from different phases.In the test set,the triphasic model exhibited the highest AUC and ACC(AUC=0.76,ACC=0.808).The calibration curve demonstrated the strongest agreement between the estimated probabilities and observed probabilities for the triphasic model.The decision curve analysis(DCA)curve indicated that the triphasic model had the largest threshold range with a higher net benefit.Conclusion Compared with single-phase and dual-phase models,the triphasic model based on enhanced CT provides better prediction of POPF after PD,aiding clinical decision-making and improve prognosis.

Objective To explore method for improving the colonization efficiency of Helicobacter pylori(Hp)in the mouse stomach and to determine if the proton pump inhibitor(PPI)pantoprazole can act as a colonization adjuvant to enhance Hp colonization,with the aim of providing an effective tool for establishing an Hp infection mouse model.Methods The Hp Sydney strain 1(SS1)was introduced and solid plate and liquid culture systems were established.The effects of different doses of pantoprazole on gastric acid secretion in mice were compared.The impact of Hp inoculation,alone or combined with pantoprazole pretreatment,on Hp colonization efficiency was analyzed using rapid urease tests,bacterial plate cultures,and TaqMan quantitative polymerase chain reaction.Results PPI pretreatment inhibited gastric acid secretion and promoted Hp colonization in the mouse stomach,to some extent.Conclusions PPI can serve as colonization adjuvants to enhanc e the efficiency of constructing Hp infection mouse models.

Objective To analyze the correlation between lesion volume,lesion mass,and maximum lesion diameter in the assessment of advanced hepatocarcinoma with lung metastasis,and to evaluate the application value of total volume response and total mass response of lung metastatic lesions in efficacy assessment.Methods A retrospective analysis was conducted on the CT imaging data of 20 patients clinically confirmed with hepatocarcinoma and lung metastases,followed by subsequent follow-up to monitor their survival outcomes.Volume measurement software was used to measure the volume of lesions before and after treatment.We recored lesion diameter,volume measurements and CT values,calculated the mass of the lesions.The correlation between lesion volume,mass and diameter was analyzed,as well as the correlation between the change rates of volume,mass and lesion diameter.Additionally,the total volume and total mass of all lesions were calculated.The correlation between the change rates of total volume/total mass and the change rate of pulmonary lesion diameter under the RECIST 1.1 criteria,as well as the correlation with changes in patients'tumor markers,were analyzed.Furthermore,the overall volume response and overall mass response of lesions were evaluated based on changes in total volume and total mass,and their consistencies with the RECIST 1.1 criteria for efficacy evaluation were analyzed.Finally,univariate Cox regression analysis was performed to explore the association between these variables and patient survival outcomes.Results There was strong correlation between lesion volume,mass and tumor diameter(r=0.771,0.775),between the rate of change in mass and the rate of change in lesion diameter(r=0.846),and between the rates of change in total volume/total mass and the rate of change in pulmonary lesion diameter under the RECIST 1.1 criteria(r=0.800,0.896).The correlation between the rates of change in total volume/total mass and patients'tumor markers was not statistically significant.There was moderate correlation between the rate of change in volume and the rate of change in lesion diameter(r=0.692).The evaluation results of total volume response and total mass response for pulmonary lesions in advanced hepatocarcinoma with lung metastasis were generally consistent with the RECIST 1.1 criteria(Kappa=0.486,0.426).Univariate Cox regression analysis revealed that total lesion volume(P=0.047)and total lesion mass(P=0.049)were independent prognostic factors for survival outcomes.Conclusion Lesion volume,mass,and diameter,as well as their respective change rates,were found to be interrelated.Furthermore,total lesion volume and total lesion mass were identified as independent prognostic factors for survival outcomes.The total volume response and total mass response are promising evaluation methods in evaluating the efficacy of lung metastasis of hepatocarcinoma,which are different from the RECIST 1.1 evaluation criteria.

Objective To optimize the appointment scheduling for MRI examinations to provide new ideas for solving the problems of MRI examinations in resource optimization.Methods A simulation model of time-sharing MRI examination appointment rules was established by conducting a field survey on the MRI examination process in the hospital imaging department.The appointment scheduling rule for MRI examination slots was optimized with the empirical distributions of MRI examination time and patient tardiness time as the input parameters and the weighted averages of patient waiting time,doctor overtime time and equipment idle time as the objective functions.The optimal time slot length and the number of examination sites for each time slot were determined based on the multiple-population differential evolution algorithm,and the response of the appointment scheduling rule to parameter variations was investigated by sensitivity analysis.Results Simulation results showed that the optimal time slot length was 15 min,and that the optimized rule significantly gained advantages over the existing rule in terms of interference resistance when the patient tardiness rate and the number of devices varied.Conclusion The optimized appointment scheduling for MRI examinations based on the multiple-population differential evolution algorithm contributes to enhancing the patient experience and the efficiency of MRI examinations.[Chinese Medical Equipment Journal,2025,46(6):88-92]

This study aims to clarify the incidence and prevention status of dairy cow mastitis in 79 large-scale pastures in China in 2022,reduce the incidence of dairy cow mastitis,and provide scien-tific basis for formulating prevention and control strategies for dairy cow mastitis in large-scale pastures suitable for China's national conditions.The research team relied on the large-scale ranch of the Comprehensive Experimental Station of National Dairy Industry Technology System to car-ry out research.A total of 79 questionnaires were received.The information on the stock of large-scale farms,the proportion of cows in the herd,the level of cow yields,the incidence and cure rate of cow mastitis,the prevention and control of cow mastitis,diagnosis and treatment programs of cow mastitis,the cost of treating cow mastitis,and the culling rate of farms was collected.Chi-square test and correlation analysis were carried out on the incidence of mastitis in dairy cows and the prevention and control plan,treatment plan,yield level and elimination rate of mastitis in dairy cows by descriptive statistical cross table.The incidence of cow mastitis in some pastures was con-trolled between 5％and 10％,and the cure rate was mostly as high as 98％.According to the co-hort analysis,the importance of prevention and control measures for dairy cow mastitis was as fol-lows:DMT＞DHI＞milk yield＞milk traits＞breast apparent change＞electrical conductivity＞CMT.The importance of treatment measures for dairy cow mastitis is as follows:DMT＞DHI＞milk yield＞milk traits＞breast apparent changes＞electrical conductivity＞CMT.The importance of treatment measures for mastitis is as follows:traditional Chinese medicine＞pathogen detection and drug sensitivity test＞non-steroidal anti-inflammatory drugs＞regular maintenance of milking equipment＞normal milking without treatment＞broad-spectrum antibiotics.The incidence of mas-titis in dairy cows is moderately positively correlated with the yield per unit area,that is,the in-crease in the incidence of mastitis in dairy cows has a certain impact on the yield per unit area of dairy cows.Economic analysis shows that the treatment cost of mastitis is closely related to the in-cidence rate,and the treatment cost of pasture with higher incidence rate is higher.Pastures with higher yields usually have more efficient means of disease prevention and control,and the corre-sponding treatment costs are lower.In conclusion,China's large-scale pastures should strengthen the scientific feeding management level,improve the prevention and control methods to reduce the incidence of cow mastitis,improve the cure rate,and reduce the cost of pasture treatment.