The aim of this study was to develop a machine learning model to analyze ultrasound radiomics features with different regions of peri-tumor fetch values to determine the optimal peri-tumor region for predicting KI-67 expression.<h4>Methods</h4>A total of 453 breast cancer patients were included. This evidence concerns the gene MKI67 and breast carcinoma.