Objective To explore the clinical value of clinical combined MRI scoring scale in predicting placenta previa with pla-centa accreta spectrum disorders(PAS).Methods The clinical and MRI data of 96 pregnant women with placenta previa were ana-lyzed retrospectively,including 37 cases in the non-PAS group and 59 cases in the PAS group.In the PAS group,there were 14 cases in the placenta accreta(PA)group,33 cases in the placenta increta(PI)group and 12 cases in the placenta percreta(PP)group.The differences in clinical and imaging features of the variables between non-PAS,PA,PI,and PP groups were analyzed to establish a sco-ring scale,and the receiver operating characteristic(ROC)curves were used to calculate the critical values of the different groups.Results Ten clinical and 15 imaging features were included for evaluation,there were statistically significant differences in 14 indicators,including the number of caesarean sections,placental thickness,abnormal subplacental vessels,and short T2 signal bands within the placenta(P<0.05).Incorporate the above indicators into the MRI scoring scale.The ROC curves showed that the area under the curve(AUC)of the MRI scoring scale analyzed diagnostic non-PAS group versus PA group was 0.874,with a significance of 0.000 and a critical value of 5.5,the AUC of the PA group versus PI group was 0.784,with a significance of 0.002 and a critical value of 9.5,and the AUC of the PI group versus PP group was 0.986,with a significance of 0.000 and a critical value of 14.5.Conclusion Clini-cal combined MRI scoring scale can evaluate whether placenta previa is accompanied by PAS and evaluate the depth of PAS,which has important clinical value.

Objective To explore the clinical value of clinical combined MRI scoring scale in predicting placenta previa with pla-centa accreta spectrum disorders(PAS).Methods The clinical and MRI data of 96 pregnant women with placenta previa were ana-lyzed retrospectively,including 37 cases in the non-PAS group and 59 cases in the PAS group.In the PAS group,there were 14 cases in the placenta accreta(PA)group,33 cases in the placenta increta(PI)group and 12 cases in the placenta percreta(PP)group.The differences in clinical and imaging features of the variables between non-PAS,PA,PI,and PP groups were analyzed to establish a sco-ring scale,and the receiver operating characteristic(ROC)curves were used to calculate the critical values of the different groups.Results Ten clinical and 15 imaging features were included for evaluation,there were statistically significant differences in 14 indicators,including the number of caesarean sections,placental thickness,abnormal subplacental vessels,and short T2 signal bands within the placenta(P<0.05).Incorporate the above indicators into the MRI scoring scale.The ROC curves showed that the area under the curve(AUC)of the MRI scoring scale analyzed diagnostic non-PAS group versus PA group was 0.874,with a significance of 0.000 and a critical value of 5.5,the AUC of the PA group versus PI group was 0.784,with a significance of 0.002 and a critical value of 9.5,and the AUC of the PI group versus PP group was 0.986,with a significance of 0.000 and a critical value of 14.5.Conclusion Clini-cal combined MRI scoring scale can evaluate whether placenta previa is accompanied by PAS and evaluate the depth of PAS,which has important clinical value.

Objective To explore the feasibility of constructing a short-term therapeutic efficacy prediction model for hepatocellular carcinoma(HCC)after radiofrequency ablation(RFA)based on texture analysis of preoperative MRI arterial phase images.Methods A retrospective analysis was conducted on 169 HCC patients treated with RFA.Based on the short-term therapeutic efficacy,the patients were divided into a good prognosis group(112 cases)and a poor prognosis group(57 cases).Texture features of preoperative MRI arterial phase images were extracted using Mazda software,and dimension reduction was performed through Fisher coefficient,mutual information,classification error probability,and mean correlation coefficient.The patients were divided into a training group(n=119)and a testing group(n=50)in a 7∶3 ratio.Independent sample t-tests and the least absolute shrinkage and selection operator(LASSO)algorithm were employed for further feature selection.Subsequently,a radiomics model was established using LASSO regression and evaluated through the receiver operating characteristic(ROC)curve and area under the curve(AUC).Results The radiomics model comprised features such as S_2__2_SumOfSqs,Teta1,S_5_0_DifVarnc,S_2_0_DifEntrp,Horzl_LngREmph,and S_5_5_InvDfMom.The AUC of the model were 0.987[95％confidence interval(CI)0.965-1.000]and 0.918(95％CI 0.818-1.000)in the training and testing groups,respectively.The sensitivity was 98.7％(95％CI 92.4-100)and 93.9％(95％CI 84.8-100),and the specificity was 97.5％(95％CI 90.0-100)and 88.2％(95％CI 70.6-100),respectively.Conclusion The construction of a predictive model for short-term therapeutic efficacy of HCC after RFA based on texture analysis of preoperative MRI arterial phase images is feasible and demonstrates good predictive performance.

Objective:To investigate the antiangiogenetic ability of Roquinimex for human colorectal cancer in vivo,and to study the possible mechanism of Roquinimex.Methods:The transplanted model of human colorectal cancer in nude mice was established and the effection of various doses of Roquinimex were compared.The microvesssal density (MVD) in tumor tissue of nude mice was accounted by immunohistochemical method.We also observed the antiangiogenesis effection of Roquinimex for chick embryo chorioallantic membrane (CEM).Rusults:Roquinimex did inhibit the growth of SW1116 in nude mice.In all doses of Roquinimex treated group,the masses were less than that in control group ( P