Objective To explore the clinical application value of three-dimensional power Doppler ultrasound(3D-PDU)in predicting the chemotherapy effect for cervical cancer.Methods A total of 160 patients with cervical cancer in our hospital were selected and treated with neoadjuvant chemotherapy.According to the chemotherapy effect,they were divided into the effective group(103 cases)and the ineffective group(57 cases).The 3D-PDU blood flow parameters[vascularization-flow index(VFI),flow index(FI)and vascularization index(VI)]between the two groups were compared.Multivariate Logistic regression analysis was used to screen the independent risk factors for predcting the chemotherapy effect in patients with cervical cancer,and the risk prediction model was established.Hosmer-Lemeshow test was used to evaluate the fitting degree of the model,and the receiver operating characteristic(ROC)curve was drawn to analyze the predictiveefficacy.Results Afterchemotherapy,the VFI,FI and VI of the two groups were significantly lower than those before chemotherapy(all P<0.05),and the above parameters in the effective group were lower than those in the ineffective group(all P<0.05).Multivariate Logistic regression analysis showed that VFI,FI and VI after chemotherapy were independent risk factors for predicting chemotherapy effect in patients with cervical cancer(OR=2.826,4.637,3.216,all P<0.05).The risk prediction model for the chemotherapy effect in patients with cervical cancer was established as follows:Logit(P)=1/[1+e(-4.609+1.039×VFIafter chemotherapy+1.534×FI after chemotherapy+1.168×VI after chemotherapy].Hosmer-Lemeshow test showed that the fitting degree of the model was good(χ2=4.635,P=0.781).ROC curve analysis showed that the area under the curve of the model for predicting the chemotherapy effect in patients with cervical cancer was 0.882(P<0.05).Conclusion 3D-PDU could better predict the chemotherapy effect for cervical cancer,and has a certain aclinical application value.
Ultrasonography,power Doppler,three-dimensionalCervical cancerChemotherapy effectPrediction model
NETL
NSTL
万方数据
