Objective To evaluate the value of radiomics models and comprehensive models based on multiparametric magnetic resonance imaging(mpMRI)in predicting the expression of human epidermal growth factor receptor 2(HER2)in bladder cancer(BCa).Methods A total of 76 pathologically confirmed BCa patients undergoing pelvic mpMRI during Jan.2022 and Nov.2024 at the Affiliated Zhongda Hospital of Southeast University were retrospectively included.After the volume of interest(VOI)was sketched,7 modal features were obtained,including T2WI,DWI,DCE,T2WI+DWI,T2WI+DCE,DWI+DCE,and T2WI+DWI+DCE,which were analyzed with logistic regression to obtain the predictive values.After that,the best sequences were screened with receiver operating characteristic(ROC)curves,and then combined with support vector machine,logistic regression,K-nearest neighbor,plain Bayes and adaptive enhancement,to construct the radiomics prediction models.Logistic regression analysis was used to screen the predictors of high HER 2 expression and to construct a comprehensive prediction model and a nomogram.Finally,decision curve analysis(DCA)was used to quantify the clinical benefits.Results Among the radiomics models based on the T2WI+DWI+DCE sequence,the AdaBoost model demonstrated the best predictive performance,with area under the ROC curve(AUC)being 0.863(95％CI:0.807-0.920)in the training set and 0.716(95％CI:0.601-0.830)in the validation set.Based on radiomics features and clinical imaging characteristics,logistic regression analysis identified tumor pedicle and risk group as the predictors of high HER2 expression.The comprehensive prediction model based on the two factors achieved the AUC of 0.869(95％CI:0.772-0.965)in the training set and 0.875(95％CI:0.712-0.986)in the validation set.Conclusion The radiomics model based on the T2WI+DWI+DCE sequence has high accuracy in predicting HER2 expression,outperforming single-sequence models.The nomogram based on the comprehensive prediction model has high clinical decision-making efficacy and is useful for non-invasive identification of HER2 expression.

Objective To evaluate the value of radiomics models and comprehensive models based on multiparametric magnetic resonance imaging(mpMRI)in predicting the expression of human epidermal growth factor receptor 2(HER2)in bladder cancer(BCa).Methods A total of 76 pathologically confirmed BCa patients undergoing pelvic mpMRI during Jan.2022 and Nov.2024 at the Affiliated Zhongda Hospital of Southeast University were retrospectively included.After the volume of interest(VOI)was sketched,7 modal features were obtained,including T2WI,DWI,DCE,T2WI+DWI,T2WI+DCE,DWI+DCE,and T2WI+DWI+DCE,which were analyzed with logistic regression to obtain the predictive values.After that,the best sequences were screened with receiver operating characteristic(ROC)curves,and then combined with support vector machine,logistic regression,K-nearest neighbor,plain Bayes and adaptive enhancement,to construct the radiomics prediction models.Logistic regression analysis was used to screen the predictors of high HER 2 expression and to construct a comprehensive prediction model and a nomogram.Finally,decision curve analysis(DCA)was used to quantify the clinical benefits.Results Among the radiomics models based on the T2WI+DWI+DCE sequence,the AdaBoost model demonstrated the best predictive performance,with area under the ROC curve(AUC)being 0.863(95％CI:0.807-0.920)in the training set and 0.716(95％CI:0.601-0.830)in the validation set.Based on radiomics features and clinical imaging characteristics,logistic regression analysis identified tumor pedicle and risk group as the predictors of high HER2 expression.The comprehensive prediction model based on the two factors achieved the AUC of 0.869(95％CI:0.772-0.965)in the training set and 0.875(95％CI:0.712-0.986)in the validation set.Conclusion The radiomics model based on the T2WI+DWI+DCE sequence has high accuracy in predicting HER2 expression,outperforming single-sequence models.The nomogram based on the comprehensive prediction model has high clinical decision-making efficacy and is useful for non-invasive identification of HER2 expression.

Objective To investigate the correlation between carotid intima-media thickness (CIMT) and glucose fluctuation in patients with type 2 diabetes mellitus (T2DM).Methods Sixty-eight T2DM patients admitted to Beijing Military General Hospital from March to August 2012 were enrolled in the study,including 32 cases with CIMT thickening (CIMT ≥ 0.9 mm) and 32 cases with normal CIMT (CIMT ＜0.9 mm).The 72 h continuous blood glucose levels were monitored from the day of admission.Results There were no significant differences in the gender,age,body mass index (BMI),systolic and diastolic blood pressure,HDL-C,LDL-C,CHO,TG,glycosylate hemoglobin (HbA1c),fasting blood glucose(FBG) and postprandial average blood glucose (MPBG) between two groups (P ＞ 0.05).The atherosclerosis (AS) score and mean amplitude of glycemic excursion (MAGE),glucose standard deviation,frequency of glycemic excursion (FGE) and absolute mean of daily differences (MODD) in patients with thickening CIMT were (11 ± 7) years,(6.9 ± 3.0) mmol/L,(2.8 ± 1.2) mmol/L,(3.4 ± 1.5) times/d,(2.8 ± 1.3) mmol/L,(4.5 ± 1.0) score,respectively ; while those in patients with normal CIMT were (8 ±6) years,(4.2 ± 1.1) mmol/L,(1.6 ± 0.5) mmol/L,(2.2 ± 0.8) times/d,(2.0 ± 1.0) mmol/L,(3.3 ±0.6) score,respectively.There were significant differences between two groups (all P ＜ 0.05).Pearson correlation showed that CIMT was positively correlated with MAGE,FGE,MODD,course of disease,diastolic blood pressure,LDL-C,MPBG and AS score (P ＜ 0.05).Multiple stepwise regression analysis showed that MAGE,MBPG were the influencing factors of CIMT.Conclusions The CIMT of patients with T2DM is closely correlated with glucose fluctuation,indicating that reduction of blood glucose fluctuation and MAGE,MPBG levels may delay the occurrence of diabetic macroangiopathy.

Objective To investigate the glycemic fluctuation and endothelial function in patients of coronary heart disease complicated with type 2 diabetes mellitus (T2DM).Methods Fifty eight patients with coronary heart disease were enrolled in the study,including 40 cases complicated with T2DM (group A) and 18 cases without T2DM (group B).All subjects underwent continuous glucose monitoring system (CGMS) and high-resolution ultrasound detection on brachial artery for endothelium-dependent flowmediated dilatation (FMD).According to the results of CGMS,patients with 3 times of standard deviation of blood glucose (SDBG) less than a mean blood glucose in group A were classified as low glucose excursion group (group A1 ),others were classified as high glucose excursion group (group A2 ).The association of glucose fluctuation with FMD in group A was analyzed.Results Compared to group B,the levels of mean amplitude of glycemic excursions (MAGE),the largest amplitude of glycemic excursions (LAGE) and mean postprandial glucose excursion (MPPGE) were elevated and the levels of FMD were lower in group A1 and A2 (P ＜0.05).Compared to group A1 the levels of MAGE,LAGE,MPPGE and absolute means of daily differences were significantly higher [(5.4 ±0.9) vs.(3.7±0.4),(6.3 ± 1.8) vs.(4.6 ±0.8),(4.7±1.0) vs.(3.5±1.2),(2.45 ±0.75) vs.(1.81 ±0.66)mmol/L,respectively]and the FMD levels were lower [ (3.2 ± 1.0) vs.(5.2 ± 1.2) ％ ]in group A2 ( all P ＜ 0.05 ).All CGMS parameters were significantly correlated with FMD in group A2 (P ＜ 0.05 ).Multiple stepwise regression analysis showed that MAGE,systolic blood pressure were the independent impact factors of FMD.Conclusions Patients of coronary heart disease complicated with T2DM have prominent glycemic fluctuation and decreased FMD and the glycemic fluctuation may be associated with the impairment of FMD.

Eight murine monoclonal antibodies against surface determinants of Schistosoma japoni-cum (Chinese mainland strain) schistosomula were generated,of which only one monoclonal IgM antibody (N15D9) gave protection at level ranging from 14 to 39% in experiments of passive transfer or inhibition of infectivity while the others did not exhibit significant levels of passive protection.Further characterization of N15D9 antigen specificity showed that 96 and 14 kDa antigen molecules in cercaria,and 132 and 10 kDa in schistosomula could be recognized by N15D9 in Western blot assay.Furthermore,the 96 and 132 kDa molecules could also be recognized by pooled infected human sera while 14 kDa and 10 kDa only by sera from mice vaccinated with 3-hour schistosomula.The molecules recognizable by N15D9 were surface epitopes repeatedly expressed on cercaria,in vitro 3-hour mechanically transformed schistosomula and 5 day lung-stage schistosomula,as demonstrated by indirect immuno-fluorecence surface binding assay.