Tumor size impacts the performance of ultrasound BI-RADS classification in breast cancer patients

Background: this study aimed to evaluate the relationship of tumor size and ultrasound (us) breast imaging reporting and data system (bi-rads), and further analyze if tumor size can impact the evaluation for us features in patients with breast cancer. materials and methods: in this retrospective study, preoperative us features and postoperative pathological results were collected from 498 patients with breast cancer. the association of bi-rads classification with tumor size was analyzed, and the us features related to tumor size were determined. results: a significant association was found between tumor size and bi-rads category, and tumor with small size was classified into the low bi-rads category (p < 0.05). some us features including shape, growth orientation, microcalcification and color doppler flow imaging (cdfi) were influenced by tumor size (p<0.001). conclusion: tumor size can influence the diagnosis performance for us bi-rads category in patients with breast cancer.