Predictive Model for the Diagnosis of Benign/Malignant Complex Cystic and Solid Breast Nodules.

Purpose: To develop an ultrasound predictive model to differentiate between benign and malignant complex cystic and solid nodules (C-SNs).

Methods: A total of 211 patients with complex C-SNs rated as American College of Radiology Breast Imaging Reporting and Data System (ACR BI-RADS) category 4 or 5 on the ultrasound reports were included in the study, from June 2018-2021. Multivariate stepwise logistic regression analysis was used to establish a predictive model, based on clinical and ultrasound features.