1.Experimental comparison of the antitussive and expectorant effects of seven traditional Chinese medicine compounds in mice
Xiaoju ZHANG ; Yuan WU ; Chunyan JIANG ; Chaoying ZHANG ; Xincai LAN
Acta Laboratorium Animalis Scientia Sinica 2014;(2):66-69
Objective In order to screen effective traditional Chinese medicine compounds to prevent and control porcine respiratory disease syndrome ( PRDC) , seven compound preparations of traditional Chinese medicine were tested and to analyze their antitussive and expectorant effects in mice .Methods Two hundred 6-week old ICR mice ( male∶fe-male=1∶1) were used in this study .Dextromethorphan and ammonium chloride were used as positive control drugs , and physiological saline was used as blank control .The antitussive and expectorant effects of the seven Chinese medicine com-pounds (groups 1, 2, 3, 4, 5, 6, 7) were observed by ammonia-induced cough model and tracheal phenol red secretion method in mice .Results The results showed that compounds 7 and 5 significantly prolonged the cough incubation period (P <0.05), and reduced the cough times within 5 min (P <0.05).Except for the group 4, tracheal phenol red excre-tion in the other groups was significantly lower than that of blank control group (P <0.05), and phenol red excretion in the mice of groups 7, 5 and ammonium chloride group was significantly lower than that in other treatment groups ( P <0.05).Conclusions The Chinese medicine compounds 5 and 7 show most evident expectorant effects , and worthy of fur-ther validation of them as a drug in the treatment of porcine respiratory disease syndrome .
2.Forecast study on the expression grade of antigen Ki-67 in breast ductal carcinoma by contrast enhanced ;ultrasound
Rui DU ; Weiwei SHU ; Baoding CHEN ; Xin ZHANG ; Ying CHEN ; Xincai WU ; Yuefeng LI
Chinese Journal of Ultrasonography 2016;25(3):218-222
Objective To investigate the correlation between the hemodynamic characteristics of time intensity curve(TIC) by contrast enhanced ultrasound(CEUS) and the expression of antigen Ki-67 of the 4 different clinic stages (T0 andTis,T1 ,T2,T3) in ductal carcinoma in order to predict the grade of the expression of antigen Ki-67 and clinic stages.Methods Masses founded in 80 cases proved by pathological test after resection or needle biopsy were divided into 4 groups base on clinic stages:group 1(T0 andTis) , group 2(T1),group 3(T2),and group 4(T3).Some parameters gained after analyzing TIC of CEUS would be used to make a rank correlation analysis with the expression grade of antigen Ki-67 through immunohistochemical diagnosis.A regression equation would be gained from those parameters which had a correlation with the expression grade of antigen Ki-67 (P < 0.05). Results Most TIC of ductal carcinomas were possessed of the characteristics of fast in and slow-out.Compared to the other three groups,group 4(T3) had significant differences in arrive time,time to peak,arrive intensity,peak intensity and area under curve.Compared to group 1(T0 andTis),group 4(T3) had significant differences in continuous time and rising curve's slope and group 3(T2) has significant differences in arrive intensity and area under curve. Parameters entered the regression equation through mult-variable linear regression analysis were arrive time,continuous time,peak intensity and rising curve's slope.R square was 0.83 1 and adjust R square was 0.822.Through the regression equation verification,5 cases accorded with the clinic stages standard of ductal carcinoma.Conclusions The hemodynamic characteristics of time intensity curve (TIC) by contrast enhanced ultrasound had a good correlation with the expression grade of antigen Ki-67 of the 4 different clinic stages in ductal carcinoma.The regression equation had a good explanatory and degree of fitting,it can be used to predict the expression grade of antigen Ki-67 and indirectly forecasts clinic stages of ductal carcinoma.
4.Predictive value of quantitative analysis of contrast-enhanced ultrasound gradient features of perfusion-deficient areas in early-stage breast cancer in sentinel lymph node metastasis
Rui DU ; Weiwei SHU ; Xincai WU ; Xin ZHANG ; Yuefeng LI
Chinese Journal of Ultrasonography 2023;32(10):880-885
Objective:To investigate the predictive value of perfusion defect gradient features of early breast cancer using contrast-enhanced ultrasound (CEUS) in sentinel lymph node (SLN) metastasis.Methods:A retrospective analysis was performed on 147 patients with single early breast cancer confirmed by surgery and pathology in the Affiliated Hospital of Jiangsu University from January 2017 to December 2022, which were divided into SLN positive group (78 cases) and SLN negative group (69 cases) according to whether there are positive lesions in the biopsy SLN. The quantitative characteristics of CEUS in the perfusion defect and marginal high perfusion area of breast cancer in the two groups were analyzed. The differential gradient features between them were analyzed by multivariate Logistic regression and ROC curves.Results:The univariate analysis revealed statistically significant differences between the two groups for peak-arrival time gradient (ΔTTP), peak intensity gradient (ΔPI), ascending branch slope gradient (ΔRS) and area gradient under the curve (ΔAUC) (all P<0.05). Multivariate Logistic regression analysis showed that ΔTTP, ΔPI and ΔAUC were independent predictors of SLN status in early breast cancer (all P<0.05). The sensitivity (74.57%), specificity (84.42%) and area under the curve (0.789) of that combination of the three indexes for predicting SLN status were higher than the prediction efficiency of a single index.In addition, ΔTTP ( r=-0.578, P<0.05) was negatively correlated with average positive rate of SLN, and ΔPI ( r=0.629, P<0.05) and ΔAUC ( r=0.703, P<0.05) were positively correlated with average positive rate of SLN. Conclusions:The perfusion defect gradient features of early breast cancer are closely related to the SLN status and can effectively predict whether SLN metastasis occurrs.
5.Predictive value of infiltrating zone contrast-enhanced ultrasound gradient features in Nottingham grading and pathologically true infiltration of invasive ductal carcinoma
Rui DU ; Weiwei SHU ; Xincai WU ; Xin ZHANG ; Yuefeng LI
Chinese Journal of Ultrasonography 2024;33(2):119-125
Objective:To investigate the predictive value of infiltrating zone contrast-enhanced ultrasound(CEUS) gradient features in Nottingham grading and pathologically true infiltration of invasive ductal carcinoma(IDC).Methods:A retrospective analysis was performed on 78 female breast cancer patients (95 masses) confirmed by surgical and pathology in the Affiliated Hospital of Jiangsu University from July 2019 to June 2022, which were divided into Grade-Ⅰ (22 masses), Grade-Ⅱ (28 masses), and Grade-Ⅲ (45 masses) according to the Nottingham histological grading system. The differences in the maximum diameter of the infiltration zone and the characteristic parameters of the gradient of the inner and outer edges of the infiltration zone among the three groups of masses were compared, and the differential gradient features among them were analyzed by multivariate ordered Logistic regression and ROC curves. The relationship between the differential gradient characteristics of the infiltration zone and the pathologically true infiltration of the mass was further explored.Results:The univariate analysis showed statistically significant differences among the three groups for peak-arrival time gradient (ΔTTP), ascending branch slope gradient (ΔRS), peak intensity gradient (ΔPI) and area gradient under the curve (ΔAUC) (all P<0.05). Multiple ordered logistic regression analysis showed that ΔTTP, ΔPI and ΔAUC had independent influences on the histologic grading of IDC (all P<0.05), and the area under the curve for the combination of the three in predicting IDC histology grades Ⅰ, Ⅱ and Ⅲ was 0.692, 0.705 and 0.765, respectively. In addition, the maximum diameter of pathologically true infiltration of the mass was positively correlated with ΔTTP ( r=0.621, P<0.05) and negatively correlated with ΔPI ( r=-0.605, P<0.05) and ΔAUC ( r=-0.719, P<0.05). Conclusions:Infiltration zone CEUS gradient features are effective in predicting the histologic grade of IDC and strongly correlate with the degree of pathologically true infiltration of the mass.