Contrast-Enhanced Mammography-Based Radiomics for Predicting Ductal Carcinoma In Situ in Breast Cancer.

Radiomics features were derived from both low-energy and recombined contrast-enhanced mammography images for each patient.

The univariate and multivariate logistic regression were used to select the clinical factors.

A radiomics nomogram was established by integrating the Rad-score and independent clinical risk factors.

The receiver operator characteristic curves (ROCs) and calibration curves were used to assess the performance of the radiomics nomogram.