OBJECTIVE To observe the effect of early warning mechanisms based on nosocomial infection surveil-lance system on precise prevention and control of spread of multidrug-resistant organisms(MDROs)infections in intensive care unit of neurosurgery department.METHODS The dynamic monitoring was performed in the ICU of neurosurgery department of a three-A general hospital by using real-time surveillance system of nosocomial infec-tion from Jan.2023 to Dec.2023.The warning information was sent to the doctor' station immediately once the MDROs infections were detected,the detection of drug-resistant bacteria was carried out for the relevant personnel and their surroundings,and the precise prevention and control measures were implemented.The impact on the iso-lation rate of MDROs,isolation rate of MDROs from the relevant personnel and surroundings,incidence of noso-comial MDROs infections and incidence of surgical site infection was observed after the measures were taken.RESULTS The carrying rate of MDROs was decreased from 21.80％to 5.74％among the relevant personnel after the precise prevention and control measures were taken(P＜0.05),which was improved remarkably among the doctors(decreasing from 21.43％to 6.07％),nurses(decreasing from 23.68％to 3.98％),nursing workers(decreasing from 25.15％to 8.65％),and cleaning staff(decreasing from 25.49％to 5.05％)(P＜0.001).The isolation rate of MDROs was decreased from 20.77％to 7.12％among the surroundings(P＜0.05),which was decreased most remarkably among head cushions(decreasing from 32.28％to 12.13％),bed rails(decreasing from 16.70％to 3.27％),ventilator panels(decreasing from 23.00％to 6.95％)and bedside floors(decreasing from 31.99％to 9.96％)(P＜0.001).The incidence of nosocomial MDROs infections declined from 3.84％to 1.71％(P＜0.05),with incidence of incision infections decreasing from 4.00％to 1.45％(P＜0.05),the inci-dence of intracranial infections decreasing from 2.38％to 0.56％(P＜0.05).CONCLUSION The detection of drug-resistant bacteria is carried out immediately and precisely for the patients with MDROs infection,relevant personnel and their surroundings by using the real-time surveillance system of nosocomial infection,which achieve remarkable effect on prevention of transmission of MDROs and reduction of incidence of hospital-associated infec-tions and surgical site infections.

Objective To compare the segmenting efficacy of automatic segmentation models for advanced gastric cancer(AGC)on CT virtual monoenergetic images(VMI),non-linear blending images(NLBI)and mixed-energy images(MEI)based on 3D-nnU-Net.Methods Totally 216 cases of AGC were retrospectively enrolled,among them 185 cases were used to construct,train and validate models and divided into training set(n=154)and test set(n=31)at the ratio of 5∶1,while the other 31 cases were used as validation set to evaluate the generalization of the models.The 70 keV energy level VMI(VMI70 keV),NLBI and MEI were reconstructed with whole-abdominal dual-energy mode venous CT,and automatic segmentation models of AGC,including VMI70 keV,NLBI and MEI models were constructed using 3D-nnU-Net,respectively.Taken manually segmented results as golden standards,the efficacy of each model for segmenting all lesions and T2 stage lesions in test set and validation set were evaluated using Dice similarity coefficient(DSC),intersection over union(IoU)and average symmetric surface distance(ASSD).Results For all lesions in test and validation sets,DSC of 3 models were all＞0.80.DSC and IoU of VMI70 keV and NLBI models were both higher,while their ASSD was lower than those of MEI model(all P＜0.05).For T2 stage AGC in both test set and validation set(each n=5),DSC of MEI model was lower than that of VMI70 keV and NLBI models(both P＜0.05),while IoU of MEI model was lower than that of VMI70 keV model(P＜0.05),and its ASSD was higher than that of NLBI model(P＜0.05).Conclusion All 3D-nnU-Net-based VMI70 keV,NLBI and MEI models could effectively segment AGC on dual-energy CT images,and the segmentation efficacy of the former two were better.

Background and Aims:Early-onset extensive emphysematous pancreatitis(EP)is a rare but highly lethal subtype of infected pancreatic necrosis(IPN),characterized by abrupt onset and rapid deterioration.This study aimed to investigate its clinical characteristics,microbiological spectrum,treatment approaches,and outcomes to provide evidence for early identification and timely intervention.Methods:A retrospective analysis was performed on 305 IPN patients treated at Xiangya Hospital,Central South University,from January 2010 to October 2023.Eight patients who developed gas accumulation involving≥50%of pancreatic or peripancreatic necrosis within two weeks of onset were defined as early-onset extensive EP.Their clinical data were compared with those of ordinary IPN patients.Results:Early-onset extensive EP accounted for 2.6%of all IPN cases.The early-onset extensive EP group had significantly higher mortality and multiple organ failure rates compared with the ordinary IPN group(75.0%vs.24.6%and 75.0%vs.34.7%,respectively;both P<0.05).A total of 15 microbial isolates were identified from early-onset extensive EP patients,predominantly Klebsiella pneumoniae(62.5%)and Escherichia coli(37.5%).The infection rate of carbapenem-resistant Enterobacteriaceae(CRE)was markedly higher in the EP group than in the ordinary IPN group(75.0%vs.31.1%,P=0.015).Most patients were treated using a step-up approach based on percutaneous catheter drainage,with no significant difference in treatment strategy between the two groups(P=0.625).Conclusion:Early-onset extensive EP represents a rare and fulminant subtype of IPN with extremely poor outcomes.Klebsiella pneumoniae and CRE are the predominant pathogens.Early radiological evaluation and timely intervention are crucial for improving prognosis in these patients.

Objective:To investigate the prognostic factors of ultrasound-guided microwave ablation (MWA) in the treatment of papillary thyroid carcinoma.Methods:The medical records of 97 patients with papillary thyroid carcinoma treated in Shangqiu First People’s Hospital from Jun. 2019 to Dec. 2021 were retrospectively analyzed.All of them were treated with ultrasount-guided MWA,including 38 males and 59 females,aged (48.24±7.86) years. The patients were followed up until Oct. 2024, and the prognosis of the patients was statistically analyzed.According to whether there was new lymph node metastasis or recurrence,the patients were divided into good prognosis group and poor prognosis group.Statistical software SPSS26.0 was used to process the baseline data of the two groups,and the factors affecting the prognosis of papillary thyroid carcinoma were analyzed.Results:Among 97 patients,3 cases were lost to follow-up,73 cases were in good prognosis group and 21 cases were in poor prognosis group.The incidence of multiple lesions,diameter 5-10 mm,close envelope and BRAFV600E mutations in poor prognosis group were 52.38%, 76.19%, 61.90% and 57.14%, respectively, which were higher than 27.40%, 49.32%, 20.55% and 31.51% in good prognosis group ( P<0.05) .TSH level of (2.94±0.61) mlU/L was higher than that of good prognosis group (2.67±0.52) mlU/L ( P<0.05) .Multivariate Logistic regression analysis showed that multiple lesions ( OR=2.915,95%CI:1.073-7.916) ,diameter 5-10mm ( OR=3.289,95% CI:1.090-9.920) , close to the envelope ( OR=6.283,95% CI:2.203-17.917) and BRAFV600E mutations ( OR=2.899,95% CI:1.071-7.843) were independent risk factors for poor prognosis in ultrasound-guided MWA treatment of isthmic papillary carcinoma ( P<0.05) .The ROC curve showed that the AUC value of the four combinations was 0.895,which was significantly higher than the number of lesions (0.625) , tumor size (0.634) , close envelope (0.707) and BRAFV600E mutation (0.628) . Conclusion:Multiple lesions,5-10mm in diameter,close envelope and BRAFV600E mutation are the factors affecting the poor prognosis of patients with isthmic papillary carcinoma treated with ultrasound-guided MWA,and the combination of the four factors is more effective in predicting the prognosis of patients with papillary thyroid carcinoma.

Background and Aims:Early-onset extensive emphysematous pancreatitis(EP)is a rare but highly lethal subtype of infected pancreatic necrosis(IPN),characterized by abrupt onset and rapid deterioration.This study aimed to investigate its clinical characteristics,microbiological spectrum,treatment approaches,and outcomes to provide evidence for early identification and timely intervention.Methods:A retrospective analysis was performed on 305 IPN patients treated at Xiangya Hospital,Central South University,from January 2010 to October 2023.Eight patients who developed gas accumulation involving≥50%of pancreatic or peripancreatic necrosis within two weeks of onset were defined as early-onset extensive EP.Their clinical data were compared with those of ordinary IPN patients.Results:Early-onset extensive EP accounted for 2.6%of all IPN cases.The early-onset extensive EP group had significantly higher mortality and multiple organ failure rates compared with the ordinary IPN group(75.0%vs.24.6%and 75.0%vs.34.7%,respectively;both P<0.05).A total of 15 microbial isolates were identified from early-onset extensive EP patients,predominantly Klebsiella pneumoniae(62.5%)and Escherichia coli(37.5%).The infection rate of carbapenem-resistant Enterobacteriaceae(CRE)was markedly higher in the EP group than in the ordinary IPN group(75.0%vs.31.1%,P=0.015).Most patients were treated using a step-up approach based on percutaneous catheter drainage,with no significant difference in treatment strategy between the two groups(P=0.625).Conclusion:Early-onset extensive EP represents a rare and fulminant subtype of IPN with extremely poor outcomes.Klebsiella pneumoniae and CRE are the predominant pathogens.Early radiological evaluation and timely intervention are crucial for improving prognosis in these patients.

OBJECTIVE To observe the effect of early warning mechanisms based on nosocomial infection surveil-lance system on precise prevention and control of spread of multidrug-resistant organisms(MDROs)infections in intensive care unit of neurosurgery department.METHODS The dynamic monitoring was performed in the ICU of neurosurgery department of a three-A general hospital by using real-time surveillance system of nosocomial infec-tion from Jan.2023 to Dec.2023.The warning information was sent to the doctor' station immediately once the MDROs infections were detected,the detection of drug-resistant bacteria was carried out for the relevant personnel and their surroundings,and the precise prevention and control measures were implemented.The impact on the iso-lation rate of MDROs,isolation rate of MDROs from the relevant personnel and surroundings,incidence of noso-comial MDROs infections and incidence of surgical site infection was observed after the measures were taken.RESULTS The carrying rate of MDROs was decreased from 21.80％to 5.74％among the relevant personnel after the precise prevention and control measures were taken(P＜0.05),which was improved remarkably among the doctors(decreasing from 21.43％to 6.07％),nurses(decreasing from 23.68％to 3.98％),nursing workers(decreasing from 25.15％to 8.65％),and cleaning staff(decreasing from 25.49％to 5.05％)(P＜0.001).The isolation rate of MDROs was decreased from 20.77％to 7.12％among the surroundings(P＜0.05),which was decreased most remarkably among head cushions(decreasing from 32.28％to 12.13％),bed rails(decreasing from 16.70％to 3.27％),ventilator panels(decreasing from 23.00％to 6.95％)and bedside floors(decreasing from 31.99％to 9.96％)(P＜0.001).The incidence of nosocomial MDROs infections declined from 3.84％to 1.71％(P＜0.05),with incidence of incision infections decreasing from 4.00％to 1.45％(P＜0.05),the inci-dence of intracranial infections decreasing from 2.38％to 0.56％(P＜0.05).CONCLUSION The detection of drug-resistant bacteria is carried out immediately and precisely for the patients with MDROs infection,relevant personnel and their surroundings by using the real-time surveillance system of nosocomial infection,which achieve remarkable effect on prevention of transmission of MDROs and reduction of incidence of hospital-associated infec-tions and surgical site infections.

Objective To compare the segmenting efficacy of automatic segmentation models for advanced gastric cancer(AGC)on CT virtual monoenergetic images(VMI),non-linear blending images(NLBI)and mixed-energy images(MEI)based on 3D-nnU-Net.Methods Totally 216 cases of AGC were retrospectively enrolled,among them 185 cases were used to construct,train and validate models and divided into training set(n=154)and test set(n=31)at the ratio of 5∶1,while the other 31 cases were used as validation set to evaluate the generalization of the models.The 70 keV energy level VMI(VMI70 keV),NLBI and MEI were reconstructed with whole-abdominal dual-energy mode venous CT,and automatic segmentation models of AGC,including VMI70 keV,NLBI and MEI models were constructed using 3D-nnU-Net,respectively.Taken manually segmented results as golden standards,the efficacy of each model for segmenting all lesions and T2 stage lesions in test set and validation set were evaluated using Dice similarity coefficient(DSC),intersection over union(IoU)and average symmetric surface distance(ASSD).Results For all lesions in test and validation sets,DSC of 3 models were all＞0.80.DSC and IoU of VMI70 keV and NLBI models were both higher,while their ASSD was lower than those of MEI model(all P＜0.05).For T2 stage AGC in both test set and validation set(each n=5),DSC of MEI model was lower than that of VMI70 keV and NLBI models(both P＜0.05),while IoU of MEI model was lower than that of VMI70 keV model(P＜0.05),and its ASSD was higher than that of NLBI model(P＜0.05).Conclusion All 3D-nnU-Net-based VMI70 keV,NLBI and MEI models could effectively segment AGC on dual-energy CT images,and the segmentation efficacy of the former two were better.

Objective: To explore glymphatic impairment in pediatric refractory epilepsy (RE) using multi-parameter magnetic resonance imaging (MRI), assess its relationship with white-matter (WM) abnormalities and clinical indicators, and preliminarily evaluate the performance of multi-parameter MRI in discriminating RE from drug-sensitive epilepsy (DSE). Materials and Methods: We retrospectively included 70 patients with DSE (mean age, 9.7 ± 3.5 years; male:female, 37:33) and 26 patients with RE (9.0 ± 2.9 years; male:female, 12:14). The diffusion tensor imaging analysis along the perivascular space (DTI-ALPS) index as well as fractional anisotropy (FA), mean diffusivity (MD), and nodal efficiency values were measured and compared between patients with RE and DSE. With sex and age as covariables, differences in the FA and MD values were analyzed using tract-based spatial statistics, and nodal efficiency was analyzed using a linear model. Pearson’s partial correlation was analyzed. Receiver operating characteristic (ROC) curves were used to evaluate the discrimination performance of the MRI-based machine-learning models through five-fold cross-validation. Results: In the RE group, FA decreased and MD increased in comparison with the corresponding values in the DSE group, and these differences mainly involved the callosum, right and left corona radiata, inferior and superior longitudinal fasciculus, and posterior thalamic radiation (threshold-free cluster enhancement, P < 0.05). The RE group also showed reduced nodal efficiency, which mainly involved the limbic system, default mode network, and visual network (false discovery rate, P < 0.05), and significantly lower DTI-ALPS index (F = 2.0, P = 0.049). The DTI-ALPS index was positively correlated with FA (0.25 ≤ r ≤ 0.32) and nodal efficiency (0.22 ≤ r ≤ 0.37), and was negatively correlated with the MD (-0.24 ≤ r≤ -0.34) and seizure frequency (r = -0.47). A machine-learning model combining DTI-ALPS, FA, MD, and nodal efficiency achieved a cross-validated ROC curve area of 0.83 (sensitivity, 78.2%; specificity, 84.8%). Conclusion Pediatric patients with RE showed impaired glymphatic function in comparison with patients with DSE, which was correlated with WM abnormalities and seizure frequency. Multi-parameter MRI may be feasible for distinguishing RE from DSE.

Objective: To explore glymphatic impairment in pediatric refractory epilepsy (RE) using multi-parameter magnetic resonance imaging (MRI), assess its relationship with white-matter (WM) abnormalities and clinical indicators, and preliminarily evaluate the performance of multi-parameter MRI in discriminating RE from drug-sensitive epilepsy (DSE). Materials and Methods: We retrospectively included 70 patients with DSE (mean age, 9.7 ± 3.5 years; male:female, 37:33) and 26 patients with RE (9.0 ± 2.9 years; male:female, 12:14). The diffusion tensor imaging analysis along the perivascular space (DTI-ALPS) index as well as fractional anisotropy (FA), mean diffusivity (MD), and nodal efficiency values were measured and compared between patients with RE and DSE. With sex and age as covariables, differences in the FA and MD values were analyzed using tract-based spatial statistics, and nodal efficiency was analyzed using a linear model. Pearson’s partial correlation was analyzed. Receiver operating characteristic (ROC) curves were used to evaluate the discrimination performance of the MRI-based machine-learning models through five-fold cross-validation. Results: In the RE group, FA decreased and MD increased in comparison with the corresponding values in the DSE group, and these differences mainly involved the callosum, right and left corona radiata, inferior and superior longitudinal fasciculus, and posterior thalamic radiation (threshold-free cluster enhancement, P < 0.05). The RE group also showed reduced nodal efficiency, which mainly involved the limbic system, default mode network, and visual network (false discovery rate, P < 0.05), and significantly lower DTI-ALPS index (F = 2.0, P = 0.049). The DTI-ALPS index was positively correlated with FA (0.25 ≤ r ≤ 0.32) and nodal efficiency (0.22 ≤ r ≤ 0.37), and was negatively correlated with the MD (-0.24 ≤ r≤ -0.34) and seizure frequency (r = -0.47). A machine-learning model combining DTI-ALPS, FA, MD, and nodal efficiency achieved a cross-validated ROC curve area of 0.83 (sensitivity, 78.2%; specificity, 84.8%). Conclusion Pediatric patients with RE showed impaired glymphatic function in comparison with patients with DSE, which was correlated with WM abnormalities and seizure frequency. Multi-parameter MRI may be feasible for distinguishing RE from DSE.

Objective: To explore glymphatic impairment in pediatric refractory epilepsy (RE) using multi-parameter magnetic resonance imaging (MRI), assess its relationship with white-matter (WM) abnormalities and clinical indicators, and preliminarily evaluate the performance of multi-parameter MRI in discriminating RE from drug-sensitive epilepsy (DSE). Materials and Methods: We retrospectively included 70 patients with DSE (mean age, 9.7 ± 3.5 years; male:female, 37:33) and 26 patients with RE (9.0 ± 2.9 years; male:female, 12:14). The diffusion tensor imaging analysis along the perivascular space (DTI-ALPS) index as well as fractional anisotropy (FA), mean diffusivity (MD), and nodal efficiency values were measured and compared between patients with RE and DSE. With sex and age as covariables, differences in the FA and MD values were analyzed using tract-based spatial statistics, and nodal efficiency was analyzed using a linear model. Pearson’s partial correlation was analyzed. Receiver operating characteristic (ROC) curves were used to evaluate the discrimination performance of the MRI-based machine-learning models through five-fold cross-validation. Results: In the RE group, FA decreased and MD increased in comparison with the corresponding values in the DSE group, and these differences mainly involved the callosum, right and left corona radiata, inferior and superior longitudinal fasciculus, and posterior thalamic radiation (threshold-free cluster enhancement, P < 0.05). The RE group also showed reduced nodal efficiency, which mainly involved the limbic system, default mode network, and visual network (false discovery rate, P < 0.05), and significantly lower DTI-ALPS index (F = 2.0, P = 0.049). The DTI-ALPS index was positively correlated with FA (0.25 ≤ r ≤ 0.32) and nodal efficiency (0.22 ≤ r ≤ 0.37), and was negatively correlated with the MD (-0.24 ≤ r≤ -0.34) and seizure frequency (r = -0.47). A machine-learning model combining DTI-ALPS, FA, MD, and nodal efficiency achieved a cross-validated ROC curve area of 0.83 (sensitivity, 78.2%; specificity, 84.8%). Conclusion Pediatric patients with RE showed impaired glymphatic function in comparison with patients with DSE, which was correlated with WM abnormalities and seizure frequency. Multi-parameter MRI may be feasible for distinguishing RE from DSE.