Objective To evaluate the value of risk score model based on clinical and multimodal ultrasound features for differentiating benign and malignant breast imaging reporting and data system(BI-RADS)4A lesions in breast.Methods Totally 177 patients with BI-RADS 4A lesions detected by multimodal breast ultrasound were prospectively enrolled,and the patients were divided into training set(n=123)and test set(n=54)at the ratio of 7∶3.Univariate and multivariate logistic regression analyses were used to analyze patients'clinical,gray-scale ultrasound,CDFI and elastography ultrasound parameters of lesions,and the independent risk factors for differentiating benign and malignant BI-RADS 4A lesions in breast were screened,so as a risk score model was constructed.Based on the results of sungical pathology or follow-up,the cut-off value of the model for differentiating benign and malignant BI-RADS 4A lesions in breast was obtained by receiver operating characteristic(ROC)curve,and the patients were divided into high-risk and low-risk subgroups according to the cut-off value,and the efficacy of the model was evaluated.Results Among 177 cases,39 were with benign lesions and 138 were with malignant lesions.Patients'age＞58 years,diameter of lesion＞15.1 mm,lesions with irregular shape,lesions with grade 1 or 2 of blood flow and standard deviation of sound touch elastography of a 2 mm circular area around the lesion(shell)(shell-STESD)＞16.33 kPa were all independent risk factors of malignant BI-RADS 4A lesions in breast.The cut-off value of risk score model for differential diagnosis was 6.5 points,and its sensitivity was 84.69%(83/98)and specificity was 88.00%(22/25)in distinguishing high-risk and low-risk subgroups in training set,while its sensitivity was 77.50%(31/40)and specificity was 71.43%(10/14)in test set.Conclusion Risk score model based on clinical and multimodal ultrasound features could effectively differentiate benign and malignant BI-RADS 4A lesions in breast.

Objective To evaluate the value of risk score model based on clinical and multimodal ultrasound features for differentiating benign and malignant breast imaging reporting and data system(BI-RADS)4A lesions in breast.Methods Totally 177 patients with BI-RADS 4A lesions detected by multimodal breast ultrasound were prospectively enrolled,and the patients were divided into training set(n=123)and test set(n=54)at the ratio of 7∶3.Univariate and multivariate logistic regression analyses were used to analyze patients'clinical,gray-scale ultrasound,CDFI and elastography ultrasound parameters of lesions,and the independent risk factors for differentiating benign and malignant BI-RADS 4A lesions in breast were screened,so as a risk score model was constructed.Based on the results of sungical pathology or follow-up,the cut-off value of the model for differentiating benign and malignant BI-RADS 4A lesions in breast was obtained by receiver operating characteristic(ROC)curve,and the patients were divided into high-risk and low-risk subgroups according to the cut-off value,and the efficacy of the model was evaluated.Results Among 177 cases,39 were with benign lesions and 138 were with malignant lesions.Patients'age＞58 years,diameter of lesion＞15.1 mm,lesions with irregular shape,lesions with grade 1 or 2 of blood flow and standard deviation of sound touch elastography of a 2 mm circular area around the lesion(shell)(shell-STESD)＞16.33 kPa were all independent risk factors of malignant BI-RADS 4A lesions in breast.The cut-off value of risk score model for differential diagnosis was 6.5 points,and its sensitivity was 84.69%(83/98)and specificity was 88.00%(22/25)in distinguishing high-risk and low-risk subgroups in training set,while its sensitivity was 77.50%(31/40)and specificity was 71.43%(10/14)in test set.Conclusion Risk score model based on clinical and multimodal ultrasound features could effectively differentiate benign and malignant BI-RADS 4A lesions in breast.