Incorporating the clinical and radiomics features of contrast-enhanced mammography to classify breast lesions: a retrospective study

• Published in: Quantitative imaging in medicine and surgery Vol. 11; no. 10; pp. 4418 - 4430
• Main Authors: Wang, Simin, Sun, Yuqi, Mao, Ning, Duan, Shaofeng, Li, Qin, Li, Ruimin, Jiang, Tingting, Wang, Zhongyi, Xie, Haizhu, Gu, Yajia
• Format: Journal Article
• Language: English
• Published: China AME Publishing Company 01.10.2021
• Subjects: Original; radiomics; Breast Imaging Reporting and Data System (BI-RADS); Contrast-enhanced mammography (CEM); classification; breast

Contrast-enhanced mammography (CEM) is a promising breast imaging technique. A limited number of studies have focused on the radiomics analysis of CEM. We intended to explore whether a model constructed with both clinical and radiomics features of CEM can better classify benign and malignant breast...