Objective To analyze and summarize the ultrasound image characteristics of benign and malignant masses in cystic and solid lesions of breast,build predictive models.Methods A retrospective analysis was performed for the ultrasound images of 71 patients with cystic and solid breast lesions which diagnosed by surgery or puncture.The influencing factors were analyzed by Logistic regression analysis and a prognostic model was created.Results Morphology(OR=26.109,P=0.027),blood flow(OR=23.900,P=0.021),calcification(OR=11.642,P=0.030),age(OR=1.127,P=0.002)were independent predictor of malignancy of breast cystic lesions.The regression model was Logit(P)=-12.218+3.262×morphology+3.173×blood flow+2.45 5×calcification+0.12×age.The areas under the ROC curve(AUC)of the predict malignancy was 0.945(95% CI:0.895～0.995).The Youden index,sensitiv ity,specificity,accuracy,positive predictive value(PPV)and negative predictive value(NPV)with the cutoff value of-1.4020 were 0.804、94.4%、86.0%、88.0%、68.0% and 98.0% respectively.Conclusion The model based on the morphology、blood flow、calcification and age can effectively predict the benign and malignant of breast cystic and solid lesions.It is worth applying in ultrasound diagnostics.
BreastUltrasonographyComplex cystic and solid lesionsForecastingModels
万方数据
维普
