Multiparametric MR Imaging Radiomics Signatures for Assessing the Recurrence Risk of ER+/HER2− Breast Cancer Quantified With 21‐Gene Recurrence Score

• Published in: Journal of magnetic resonance imaging Vol. 58; no. 2; pp. 444 - 453
• Main Authors: Chen, Yang, Tang, Wei, Liu, Wei, Li, Ruimin, Wang, Qifeng, Shen, Xigang, Gong, Jing, Gu, Yajia, Peng, Weijun
• Format: Journal Article
• Language: English
• Published: Hoboken, USA John Wiley & Sons, Inc 01.08.2023; Wiley Subscription Services, Inc
• Subjects: Breast cancer; breast neoplasms; Breast Neoplasms - diagnostic imaging; Breast Neoplasms - genetics; Cancer therapies; Diffusion coefficient; Diffusion Magnetic Resonance Imaging; ErbB-2 protein; Female; Field strength; Gene expression; Gene mapping; genomics; Health risks; Humans; image interpretation; Image processing; Image segmentation; Magnetic resonance imaging; Magnetic Resonance Imaging - methods; Medical imaging; Multiparametric Magnetic Resonance Imaging - methods; neoplasm recurrence; Patients; Radiomics; Retrospective Studies; Statistical analysis; Statistical tests; Support vector machines; Training; genomics; neoplasm recurrence; breast neoplasms; image interpretation

Background While the Oncotype DX 21‐gene recurrence score (RS) has been recommended for guiding ER+/HER2− breast cancer treatment decisions, it is limited by cost and availability. Purpose To develop a multiparametric MRI‐based radiomics model for assessing ER+/HER2− breast cancer patients' 21‐...