Objective:To explore the application of histogram of apparent diffusion coefficient (ADC) in differentiation benign and malignant breast lesions.Methods:A total of 58 patients with breast mass lesions confirmed by pathology were enrolled.They were divided into a benign lesion group(n=26)and a malignant lesion group(n=32)according to the benign and malignant nature of the lesions.DWI imaging was performed before operation and ADC map were generated.The ADC histogram analysis were computed on the histogram analysis software,and the differences of ADC histogram parameters of benign and malignant breast lesions were compared,and the receiver operating characteristic(ROC)curve was used to evaluate the differential diagnostic efficacy.Results:The mean,mini-mum,25％,50％,75％ percentile of ADC value and skewness values of malignant tumors were lower than benign tumors(P＜0.05),while there was no statistical difference between the 90％ percentile,maximum and kurtosis values of ADC values between benign and malignant tumors(P＞0.05).Conclusion:Histogram analysis of ADC can help distinguish between benign and malignant breast le-sions,with 25％ percentiles having the highest differential diagnosis value.