Objective:To investigate the diagnostic efficacy of artificial intelligence(AI)software combined with contrast-enhanced ultrasound(CEUS)on portal hypertension of cirrhosis.Methods:A retrospective analysis was conducted on 106 patients with cirrhosis who admitted to Handan Communicable Disease Hospital from January 2024 to June 2024 and were confirmed by surgical pathology.In them,60 cases with positive portal hypertension were included in positive group,and 46 cases with negative portal hypertension were included in negative group.The receiver operating characteristic(ROC)curve was used to analyze the diagnostic values of ultrasound characteristics via preoperative AI quantization,enhanced ultrasound mode and the combination of them for portal hypertension of cirrhosis.Results:The mean peak intensity,mean vessel density and branching morphology index of AI software were respectively 201.23±10.18,0.62±0.11 and 1.23±0.24 in diagnosing portal hypertension of positive group,all of which were significantly higher than those of negative group(t=8.551,3.707,2.054,P<0.05).However,the mean peak reaching time,uniformity of flow perfusion,mean flow velocity and uniformity of microcirculation perfusion of the positive group were respectively(18.22±2.18)seconds,(75.22±5.46)%,(10.09±2.22)cm/s,(80.78±5.11)%,all of which were significantly lower than those in the negative group(t=3.729,5.237,4.969,4.491,P<0.05).The enhancement speed and degree of liver parenchyma,the enhancement speed of portal vein,and the enhancement speed and degree of spleen in CEUS of positive group were significantly higher than those of negative group,and the differences were significant(t=4.770,12.781,7.313,5.501,4.645,7.513,P<0.05).ROC curve analysis showed that the area under curve(AUC)value of CEUS combined with AI algorithm was 0.926 in diagnosis,which was significantly better than single CEUS and single AI analysis(0.853,0.925).Conclusion:CEUS technique combines with AI software can show higher diagnostic efficacy in the diagnosis for portal hypertension of cirrhosis,which diagnostic effect was better than single either of two methods.

Objective:To uncover alterations in the metabolic microenvironment of lymph node metastasis (LNM) in oral squamous cell carcinoma (OSCC) and identify potential metabolic biomarkers for the early diagnosis of LNM using desorption electrospray ionization mass spectrometry imaging (DESI-MSI) spatial metabolomics.Methods:Six OSCC patients with LNM, who underwent neck dissection surgery at the Department of Oral and Maxillofacial Surgery, Affiliated Hospital of Jiangsu University between October 2020 and October 2022, were enrolled. Matched metastatically involved (positive) and benign (negative) lymph node tissue samples were collected and analyzed using DESI-MSI. Univariate and multivariate statistical analyses were employed to identify differentially abundant metabolites. The diagnostic efficacy of these metabolites was evaluated using receiver operating characteristic (ROC) curve analysis. Finally, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis was performed to determine the implicated metabolic pathways.Results:A total of 62 and 29 differentially abundant metabolites were identified in the metastatically involved lymph nodes compared to benign lymph nodes under positive-ion mode and negative-ion mode, respectively. These metabolites were predominantly amino acids and lipids. Four metabolites common to both ionization modes were selected for ROC curve analysis: phenylalanine, phosphoethanolamine, histidine, and taurine. The area under the curve values were 0.861, 0.802, 0.729, and 0.722, respectively, indicating promising diagnostic performance. Metabolic pathway analysis revealed significantly heightened activity in Amino acid metabolism ( P=0.469) and Glycerophospholipid metabolism ( P=0.006) within the LNM microenvironment. Conclusions:This DESI-MSI-based study identified disruptions in amino acid and glycerophospholipid metabolism within OSCC metastatic lymph node tissues. The associated differentially abundant metabolites represent potential candidate molecules for diagnosing OSCC LNM.

Objective To investigate the establishment and evaluation of an idiopathic pulmonary fibrosis(IPF)mouse model induced by the intratracheal infusion of bleomycin(BLM)of different concentrations.Methods Male C57BL/6J mice were randomly divided into a control group,Model-L group(1.5 mg/kg,BLM),Model-M group(2.5 mg/kg,BLM),and Model-H group(3.5 mg/kg,BLM).An IPF mouse model was constructed by one-time intratracheal infusion of BLM.The general status,body mass,survival rate,and lung coefficient of mice in different groups were compared.Pathological changes in lung tissue,the hydroxyproline content,fibrosis markers and inflammatory factor levels were observed.Results Compared with the control group,the survival rate decreased and body weight showed a downward trend in the low-,medium-,and high-dose model groups,with significant increases in lung coefficients.Inflammatory infiltration(P＜0.01)and collagen deposition(P＜0.0001)were observed in the lung tissues of all model groups.Hydroxyproline levels in lung tissue and serum were significantly elevated(P＜0.05).The mRNA levels of fibrosis markers α-Sma,Fn1,and Col1a1 were upregulated(P＜0.001),with significant increases in corresponding protein expression(P＜0.05).The mRNA expression of the inflammatory factor Tgfb1 also increased(P＜0.0001).Conclusion 1.5,2.5 and 3.5 mg/kg BLM can induce an IPF model in C57BL/6J mice.Based on the results observed for survival rate,body mass,lung coefficient changes,lung tissue gross and pathological changes,and fibrosis-related biomarkers,2.5 mg/kg BLM is the optimal concentration for inducing an IPF mouse model.

Objective:To uncover alterations in the metabolic microenvironment of lymph node metastasis (LNM) in oral squamous cell carcinoma (OSCC) and identify potential metabolic biomarkers for the early diagnosis of LNM using desorption electrospray ionization mass spectrometry imaging (DESI-MSI) spatial metabolomics.Methods:Six OSCC patients with LNM, who underwent neck dissection surgery at the Department of Oral and Maxillofacial Surgery, Affiliated Hospital of Jiangsu University between October 2020 and October 2022, were enrolled. Matched metastatically involved (positive) and benign (negative) lymph node tissue samples were collected and analyzed using DESI-MSI. Univariate and multivariate statistical analyses were employed to identify differentially abundant metabolites. The diagnostic efficacy of these metabolites was evaluated using receiver operating characteristic (ROC) curve analysis. Finally, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis was performed to determine the implicated metabolic pathways.Results:A total of 62 and 29 differentially abundant metabolites were identified in the metastatically involved lymph nodes compared to benign lymph nodes under positive-ion mode and negative-ion mode, respectively. These metabolites were predominantly amino acids and lipids. Four metabolites common to both ionization modes were selected for ROC curve analysis: phenylalanine, phosphoethanolamine, histidine, and taurine. The area under the curve values were 0.861, 0.802, 0.729, and 0.722, respectively, indicating promising diagnostic performance. Metabolic pathway analysis revealed significantly heightened activity in Amino acid metabolism ( P=0.469) and Glycerophospholipid metabolism ( P=0.006) within the LNM microenvironment. Conclusions:This DESI-MSI-based study identified disruptions in amino acid and glycerophospholipid metabolism within OSCC metastatic lymph node tissues. The associated differentially abundant metabolites represent potential candidate molecules for diagnosing OSCC LNM.

Objective To investigate the establishment and evaluation of an idiopathic pulmonary fibrosis(IPF)mouse model induced by the intratracheal infusion of bleomycin(BLM)of different concentrations.Methods Male C57BL/6J mice were randomly divided into a control group,Model-L group(1.5 mg/kg,BLM),Model-M group(2.5 mg/kg,BLM),and Model-H group(3.5 mg/kg,BLM).An IPF mouse model was constructed by one-time intratracheal infusion of BLM.The general status,body mass,survival rate,and lung coefficient of mice in different groups were compared.Pathological changes in lung tissue,the hydroxyproline content,fibrosis markers and inflammatory factor levels were observed.Results Compared with the control group,the survival rate decreased and body weight showed a downward trend in the low-,medium-,and high-dose model groups,with significant increases in lung coefficients.Inflammatory infiltration(P＜0.01)and collagen deposition(P＜0.0001)were observed in the lung tissues of all model groups.Hydroxyproline levels in lung tissue and serum were significantly elevated(P＜0.05).The mRNA levels of fibrosis markers α-Sma,Fn1,and Col1a1 were upregulated(P＜0.001),with significant increases in corresponding protein expression(P＜0.05).The mRNA expression of the inflammatory factor Tgfb1 also increased(P＜0.0001).Conclusion 1.5,2.5 and 3.5 mg/kg BLM can induce an IPF model in C57BL/6J mice.Based on the results observed for survival rate,body mass,lung coefficient changes,lung tissue gross and pathological changes,and fibrosis-related biomarkers,2.5 mg/kg BLM is the optimal concentration for inducing an IPF mouse model.

Objective:To investigate the diagnostic efficacy of artificial intelligence(AI)software combined with contrast-enhanced ultrasound(CEUS)on portal hypertension of cirrhosis.Methods:A retrospective analysis was conducted on 106 patients with cirrhosis who admitted to Handan Communicable Disease Hospital from January 2024 to June 2024 and were confirmed by surgical pathology.In them,60 cases with positive portal hypertension were included in positive group,and 46 cases with negative portal hypertension were included in negative group.The receiver operating characteristic(ROC)curve was used to analyze the diagnostic values of ultrasound characteristics via preoperative AI quantization,enhanced ultrasound mode and the combination of them for portal hypertension of cirrhosis.Results:The mean peak intensity,mean vessel density and branching morphology index of AI software were respectively 201.23±10.18,0.62±0.11 and 1.23±0.24 in diagnosing portal hypertension of positive group,all of which were significantly higher than those of negative group(t=8.551,3.707,2.054,P<0.05).However,the mean peak reaching time,uniformity of flow perfusion,mean flow velocity and uniformity of microcirculation perfusion of the positive group were respectively(18.22±2.18)seconds,(75.22±5.46)%,(10.09±2.22)cm/s,(80.78±5.11)%,all of which were significantly lower than those in the negative group(t=3.729,5.237,4.969,4.491,P<0.05).The enhancement speed and degree of liver parenchyma,the enhancement speed of portal vein,and the enhancement speed and degree of spleen in CEUS of positive group were significantly higher than those of negative group,and the differences were significant(t=4.770,12.781,7.313,5.501,4.645,7.513,P<0.05).ROC curve analysis showed that the area under curve(AUC)value of CEUS combined with AI algorithm was 0.926 in diagnosis,which was significantly better than single CEUS and single AI analysis(0.853,0.925).Conclusion:CEUS technique combines with AI software can show higher diagnostic efficacy in the diagnosis for portal hypertension of cirrhosis,which diagnostic effect was better than single either of two methods.

Objective The goals of this study were to identify early warning markers of severe dengue based on bioinformatics com-bined with machine learning,and explore the evaluation system of the risk of occurrence of severe dengue.Methods Based on the Gene Expression Omnibus database,the differentially expressed genes between dengue and severe dengue were analyzed,and Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses were conducted.Early warning genes of severe dengue were screened using a random forest model,and the accuracy of the genes was verified using receiver operating characteristic(ROC)curves.Finally,nomograms were constructed to quantify the warning genes and predict the risk of progression from dengue to severe dengue based on the expression level of these genes.Results A total of 817 differentially expressed genes were identified,along with the associated biolo-gical processes that may be closely related to the occurrence and development of severe dengue,namely,antimicrobial humoral response,humoral immune response,serine hydrolase activity,and arachidonic acid metabolism.Based on this analysis,five early warning genes were isolated:AZU1,PDCD4,COL4A3BP,TRPM4,and ATP4A.Among these,ATP4A,COL4A3BP,and TRPM4 showed low expression levels,whereas AZU1and PDCD4were highly expressed.The ROC curves indicated that these genes were accurate pre-dictors of severe dengue.The nomograms indicated good predictive accuracy,clinical benefit rate,and clinical effectiveness of the model.Conclusion Measuring the expression levels of five warning genes(AZU1,PDCD4,COL4A3BP,TRPM4,and ATP4A)may help to evaluate the risk of severe dengue.

[Objective]To investigate the association between screen content and the frequency of screen exposure at the age of one and a half years and hyperactive behavior in preschool,and to explore how the association is affected by the interaction between outdoor activities and screen behaviors,which could provide theoretical basis and feasible solutions for the prevention and intervention of behavioral problems in childhoood.[Methods]The survey was conducted from June 2022 to June 2023 in Huicheng District,Huizhou (China) stratified by whole cluster sampling methods. Parents and teachers of 5648 children in 61 kindergartens were sampled for questionnaire surveys. The Conners Teacher Rating Scale (TRS) was used to investigate hyperactive behavior. A self-administered questionnaire was used to investigate basic demographic information of children,screen content,frequency of screen exposure and outdoor activities at the age of one and a half years. Multivariate logistic regression was used to explore the association between video screen behavior and hyperactive behavior and its interaction with outdoor activities by controlling for covariates such as children's age,gender,and parental education.[Results]Result showed the overall prevalence of 3.2％ for hyperactive behavior,2.1％ for conduct problems,2.1％ for hyperactivity problems,1.3％ for inattention-passivity problems,and 0.9％ for hyperactivity index. After adjusting for confounding factors,multiple logistic regression analysis showed that screen exposure of "two to four times a week" at one and a half years old was associated with an increased detection rate of hyperactive behaviors in preschool children,with an estimated ORs (95％ CI) of 1.682 (1.141,2.480). Daily screen exposure was associated with increased detection rates of hyperactive behavior,conduct problems,hyperactivity issues,inattention-passivity problems,and hyperactivity index in pre-school age. The estimated ORs (95％ CI) were 2.136 (1.218,3.746),2.321 (1.185,4.546),2.300 (1.208,4.380),2.776 (1.267,6.085) and 3.640 (1.525,8.687),respectively. But the above associations were not found in children who were engaged in daily outdoor activities at the age of one and a half years (P value for interaction<0.001). No association was found between screen content and hyperactive behavior (P>0.05).[Conclusions]Frequency of screen exposure in early childhood is significantly associated with hyperactive behavior problems in preschool,and outdoor activities could weaken the correlation between high-frequency screen exposure and hyperactive behavior,suggesting that parents and schools should prioritize scientifically guiding children's video viewing behavior and outdoor activities,ensuring a well-arranged daily life,to lay a good foundation for the healthy development of children's behavior.

OBJECTIVES: With the increasing detection rate of lung nodules, the qualitative problem of lung nodules has become one of the key clinical issues. This study aims to evaluate the value of combining dynamic contrast-enhanced (DCE) MRI based on time-resolved imaging with interleaved stochastic trajectories-volume interpolated breath hold examination (TWIST-VIBE) with T₁ weighted free-breathing star-volumetric interpolated breath hold examination (T₁WI star-VIBE) in identifying benign and malignant lung nodules. METHODS: We retrospectively analyzed 79 adults with undetermined lung nodules before the operation. All nodules of patients included were classified into malignant nodules (n=58) and benign nodules (n=26) based on final diagnosis. The unenhanced T₁WI-VIBE, the contrast-enhanced T₁WI star-VIBE, and the DCE curve based on TWIST-VIBE were performed. The corresponding qualitative [wash-in time, wash-out time, time to peak (TTP), arrival time (AT), positive enhancement integral (PEI)] and quantitative parameters [volume transfer constant (Ktrans), interstitium-to-plasma rate constant (Kep), and fractional extracellular space volume (Ve)] were evaluated. Besides, the diagnostic efficacy (sensitivity and specificity) of enhanced CT and MRI were compared. RESULTS: There were significant differences in unenhanced T₁WI-VIBE hypo-intensity, and type of A, B, C DCE curve type between benign and malignant lung nodules (all P<0.001). Pulmonary malignant nodules had a shorter wash-out time than benign nodules (P=0.001), and the differences of the remaining parameters were not statistically significant (all P>0.05). After T₁WI star-VIBE contrast-enhanced MRI, the image quality was further improved. Compared with enhanced CT scan, the sensitivity (82.76% vs 80.50%) and the specificity (69.23% vs 57.10%) based on MRI were higher than that of CT (both P<0.001). CONCLUSIONS T₁WI star-VIBE and dynamic contrast-enhanced MRI based on TWIST-VIBE were helpful to improve the image resolution and provide more information for clinical differentiation between benign and malignant lung nodules.
Adult ; Humans ; Retrospective Studies ; Magnetic Resonance Imaging ; Plasma ; Tomography, X-Ray Computed ; Lung

OBJECTIVE：To pro vide reference for rational use of antibiotics in pediatric department. METHODS ：Clinical bacterial strains isolated from children outpatients and inpatients were collected from West China Guang ’an Hospital of Sichuan University（called“our hospital ”for short ）during Jan. 2014 to Jun. 2019. Distribution and drug resistance of bacteria were analyzed retrospectively. RESULTS ：During 2014-2019，total of 4 692 strains were detected ，accounting for 29.56％ of total ；those were mainly from sputum （3 749 strains，79.90％），blood（203 strains，4.33％）and secretion （137 strains，2.92％）specimen. Among them ，1 488 strains of Gram-positive bacteria （31.71％）were mainly Streptococcus pneumoniae （711 strains，15.15％） and Staphylococcus aureus （574 strains，12.23％）；3 204 strains of Gram-negative bacteria （68.29％）were mainly 2 466 strains of Haemophilus influenza （52.56％）. Totally 172 strains of methicillin-resistant S. aureus and 1 517 strains of β-lactamase producing H. influenzae were detected ；the detection rates were 29.97％ and 61.52％ ，respectively. Resistance rates of H. influenza to ampicillin，cefaclor and cefuroxime were higher than 50％，and the overall trend was on the rise ，resistance rates of cefotaxime ， rifampin and ofloxacin were all lower than 6％. Resistance rates of S. pneumoniae to erythromycin and tetracycline were more than 70％，and the resistance rate to erythromycin was increasing year by year. Resistance rates of S. pneumoniae to β-lactams and quinolones were generally lower than 20％. No resistant strains of linezolid and vancomycin were found. Resistance rate of S. aureus to penicillin G was more than 90％. S. aureus was relarively sensitive to aminoglycosides ，macrolides and tetracyclines ；no furantoin，linezolid and vancomycin-resistant strains were found. CONCLUSIONS ：Gram-negative bacteria are the main pathogens isolated from children in our hospital ，and most of them are H. influenza e，S. pneumon iae and other caustic bacteria. The detection rate of drug-resistant and enzyme producing strains is high ， and the resistance rate of several pathogens to commonly used 0826-2600251。E-mail：wenxiaozheng269@sina.com antibiotics is increasing year by year. Drug resistance is severe. In order to delay the emergence and spread of drug-resistant pathogens in real time and further standardize the use of pediatric antibiotics.