Objective To analyze the value of abnormal expression of serum alpha fetoprotein variant 3(AFP-L3)and β2 microglobulin(β2-MG)in predicting complications after interventional surgery in patients with liver cancer.Methods Clinical information of totally 92 patients with liver cancer who underwent inter-ventional surgery in the hospital from January 2020 to December 2023 were retrospectively collected and the patients were divided into complication group(33 cases)and non-complication group(59 cases)according to whether complications occurred after interventional surgery.The levels of AFP-L3 and β2-MG were detected respectively.Multivariate Logistic regression was used to analyze the the factors influencing the occurrence of complications in patients with liver cancer.Receiver operating characteristic(ROC)curve was used to evaluate the val-ue of the levels of AFP-L3 and β2-MG to predict complications in patients with liver cancer.Results Compared with the non-complication group,the proportion of patients with a history of diabetes,positive hepatitis B vi-rus(HBV)-DNA,poorly differentiated histology,and the levels of AFP-L3 and β2-MG were higher in the complication group(P＜0.05),and the course of liver cancer was longer(P＜0.05).Multivariate Logistic re-gression analysis showed that the levels of AFP-L3 and β2-MG were independent risk factors for complications after interventional surgery in patients with liver cancer.The area under the curve(AUC)of AFP-L3 and β2-MG levels in predicting complications after interventional surgery in patients with liver cancer were 0.874 and 0.854,respectively,with sensitivity of 89.77％and 74.79％,and specificity of 87.21％and 84.82％,respec-tively.The cut off values were 92.281 μg/L and 4.430 mg/L,respectively.The AUC of the combination of AFP-L3 and β2-MG levels in predicting postoperative complications was 0.910,which was significantly better than the predictive value of the single indicator(P＜0.05).Conclusion High levels of serum AFP-L3 and β2-MG may be independent risk factors for complications after interventional surgery in patients with liver canc-er.The combined detection of the two serum indicators has higher predictive value for postoperative complica-tions.It provides a new means to evaluate complications in patients with liver cancer after interventional sur-gery.

Objective To investigate the application value of quantitative relaxation parameters based on synthetic MRI technology in the differential diagnosis of parotid gland tumors.Methods Conventional MRI and synthetic MRI data of 59 patients with patho-logically confirmed parotid gland tumors were analyzed retrospectively.T1,T2,and proton density(PD)values of the tumor were extracted from T1,T2 and PD mapping.The differences in quantitative relaxation parameters of pleomorphic adenomas,Warthin tumors,and malignant tumors were further compared.Diagnostic performance of each quantitative relaxation parameter was assessed and com-pared via receiver operating characteristic(ROC)curve and DeLong test.Results T2 value was significantly higher in pleomorphic adenomas than that in malignant tumors(P<0.05).The T1,T2,and PD values of pleomorphic adenomas and malignant tumors were significantly higher than those of Warthin tumors(P<0.05).The area under the curve(AUC)of the T2 value in differentia-ting pleomorphic adenomas from malignant tumors was 0.794.The AUC for T1 value(0.939)in differentiating Warthin tumors from malignant tumors was significantly higher than that of T2(0.873,P=0.341)and PD(0.927,P=0.891)values,without sta-tistically significant difference.The AUC for T2 value(0.968)in differentiating pleomorphic adenomas from Warthin tumors was significantly higher than that of T1(0.931,P=0.360)and PD(0.876,P=0.120)values,without statistically significant difference.Conclusion Quantitative relaxation parameters based on synthetic MRI technology may contribute to differentiating pleomorphic adenomas,Warthin tumors,and malignant tumors of the parotid gland.

African swine fever(ASF)is a virulent,hemorrhagic disease of swine caused by African swine fever virus(ASFV),which seriously affects the healthy development of Chinese pig indus-try.The genome of ASFV is large and encodes more than 165 proteins.Among them,the p54 pro-tein is encoded by the E183L gene,which has various functions such as participating in viral as-sembly,inducing apoptosis and inducing immune response.The conventional Chinese vaccine(C-strain)is a safe and effective attenuated vaccine developed by Chinese scientists.It can efficiently protect against attacks from various genotypes of classical swine fever virus(CSFV).The aim of this study was to investigate whether C-strain can express ASFV p54 protein serve as a delivery vector for ASF genetically engineered vaccines.An infectious clone of pHCLV-p54 was constructed by homologous recombination,the recombinant virus rHCLV-p54 was rescued by transfecting it into SK6 cells by blind passaging.Its genetic stability and growth curve were determined in vitro,while rabbits were immunized to evaluate its immunity effect.The results showed that the E183L gene remained genetically stable in the recombinant virus,indicating that the E183L gene could be stably inherited in recombinant viruses,but the inserted exogenous gene affected the replication of the C-strain.The results of the rabbit immunization test showed that the recombinant virus rHCLV-p54 was able to induce ASFV-specific antibodies.The above results indicated that we have successfully constructed a recombinant C-strain that stably expresses the ASFV p54 protein.In summary,the recombinant virus rHCLV-p54 has a good immunogenicity and is warranted for fur-ther evaluation as a vaccine candidate.

Purpose To explore the value of a prediction model based on diffusion weighted imaging(DWI)deep learning features in endometrial cancer microsatellite instability status assessment.Materials and Methods DWI data of 32 microsatellite instability and 55 microsatellite stability endometrial cancer patients were analysed from June 2020 to April 2023 in Xinxiang Central Hospital,retrospectively.Apparent diffusion coefficient(ADC)values of the primary lesions were measured,and deep learning features and imaging histological features of the primary lesions were extracted using multilayer convolutional neural networks and PyRadiomics,respectively.The least absolute shrinkage and selection operator and random forest were used for feature screening and model building,respectively.The area under the receiver operating characteristic curve(AUC)and net reclassification improvement were used to evaluate model performance.Bootstrap based on 1 000 resamples was used for internal validation of the model.Results For the deep learning model,a total of 6 features were included,the 7th,57th,77th,82nd,97th and 108th features,with an AUC of 0.905(95％CI 0.823-0.957);for the radiomics model,a total of 6 features were included,1 neighborhood grey level difference matrix,4 grey level region size matrices and 1 grey level tour length matrix feature,with an AUC was 0.844(95％CI 0.751-0.913);for ADC values,the microsatellite instability group had smaller ADC values than the microsatellite stability group(t=-4.123,P＜0.001),with an AUC of 0.810(95％CI 0.712-0.886).Compared with the radiomics model and ADC values,the deep learning model showed improved risk prediction,with net reclassification improvements of 0.856 and 0.486(P＜0.01,P=0.024),respectively.In Bootstrap-based internal validation,the deep learning model also demonstrated higher performance than the radiomics model,with AUCs of 0.897(95％CI0.889-0.905)and 0.829(95％CI0.812-0.839),respectively.Conclusion A prediction model based on deep learning features of DWI images can provide a better assessment of microsatellite instability status in endometrial cancer patients than radiomics model and ADC values.

Objective To investigate the value of three-dimensional amide proton transfer(3D APT)imaging and multi-model diffusion weighted imaging(DWI)in evaluating the histological grade of cervical squamous cell carcinoma(CSCC).Methods A total of 54 patients with CSCC at different grades were prospectively included.All subjects underwent pelvic 3D APT and multi-b-value DWI sequences on a 3.0T MR scanner.Two radiologists blindly measured the amide proton transfer(APT)values of all continuous layers of the lesion,the apparent diffusion coefficient(ADC)of the mono-exponential-model of DWI,the ture-diffusion coefficient(D),pseudo-diffusion coefficient(D*),perfusion fraction(f)of intravoxel incoherent motion(IVIM)imaging,and the mean diffusivity(MD)and mean diffusion kurtosis(MK)values of diffusion kurtosis imaging(DKI).The receiver operating characteristic(ROC)curve was used to analyze the efficacy of each parameter in identifying different pathological grades of CSCC.Results The APT mean signal intensity(SImean),APT maximum signal intensity(SImax)and maximum mean diffusion kurtosis(MKmax)values of the high-grade group were statistically higher than those of the low-grade group,and the minimum apparent diffusion coefficient(ADCmin),minimum ture-diffusion coefficient(Dmin),and minimum mean diffusivity(MDmin)values were statistically lower than those of the low-grade group(P＜0.05).The area under the curve(AUC)increased after the combination of APT parameters and DWI parameters,which was obviously higher than that of a single parameter(P＜0.05).Conclusion Both APT and multi-model DWI are helpful to identify the degree of differentiation of CSCC,and the diagnostic value of combining the two is higher.

Patient experience is regarded as an important indicator of healthcare quality,and in response to the actual needs of patients,the patient experience has been enhanced through continuous innovation of healthcare models and the development of Internet healthcare services.Focusing on the implementation of patient experience enhancement action requirements,from the construction of hospital intelligent service platform,efficiency health care to reshape the new path of medical care,to create a continuity of medical service system,to build a multidisciplinary linkage"one-stop"acute and critical care medical treatment system and other aspects of public hospitals to improve the experience of the path to improve the level of medical services.It will provide a reference for comprehensively improving the level of medical services.

Patient experience is regarded as an important indicator of healthcare quality,and in response to the actual needs of patients,the patient experience has been enhanced through continuous innovation of healthcare models and the development of Internet healthcare services.Focusing on the implementation of patient experience enhancement action requirements,from the construction of hospital intelligent service platform,efficiency health care to reshape the new path of medical care,to create a continuity of medical service system,to build a multidisciplinary linkage"one-stop"acute and critical care medical treatment system and other aspects of public hospitals to improve the experience of the path to improve the level of medical services.It will provide a reference for comprehensively improving the level of medical services.

Patient experience is regarded as an important indicator of healthcare quality,and in response to the actual needs of patients,the patient experience has been enhanced through continuous innovation of healthcare models and the development of Internet healthcare services.Focusing on the implementation of patient experience enhancement action requirements,from the construction of hospital intelligent service platform,efficiency health care to reshape the new path of medical care,to create a continuity of medical service system,to build a multidisciplinary linkage"one-stop"acute and critical care medical treatment system and other aspects of public hospitals to improve the experience of the path to improve the level of medical services.It will provide a reference for comprehensively improving the level of medical services.

Patient experience is regarded as an important indicator of healthcare quality,and in response to the actual needs of patients,the patient experience has been enhanced through continuous innovation of healthcare models and the development of Internet healthcare services.Focusing on the implementation of patient experience enhancement action requirements,from the construction of hospital intelligent service platform,efficiency health care to reshape the new path of medical care,to create a continuity of medical service system,to build a multidisciplinary linkage"one-stop"acute and critical care medical treatment system and other aspects of public hospitals to improve the experience of the path to improve the level of medical services.It will provide a reference for comprehensively improving the level of medical services.

Patient experience is regarded as an important indicator of healthcare quality,and in response to the actual needs of patients,the patient experience has been enhanced through continuous innovation of healthcare models and the development of Internet healthcare services.Focusing on the implementation of patient experience enhancement action requirements,from the construction of hospital intelligent service platform,efficiency health care to reshape the new path of medical care,to create a continuity of medical service system,to build a multidisciplinary linkage"one-stop"acute and critical care medical treatment system and other aspects of public hospitals to improve the experience of the path to improve the level of medical services.It will provide a reference for comprehensively improving the level of medical services.