Longitudinal MRI-based fusion novel model predicts pathological complete response in breast cancer treated with neoadjuvant chemotherapy: a multicenter, retrospective study

Huang, Yühong; Zhu, Teng; Zhang, Xiaoling; Li, Wei; Zheng, XingXing; Cheng, Minyi; Ji, Fei; Zhang, Liulu; Yang, Ciqiu; Wu, Zhi‐Yong; Ye, GuoLin; Lin, Ying; Wang, Kun

doi:10.1016/j.eclinm.2023.101899

Public

Longitudinal MRI-based fusion novel model predicts pathological complete response in breast cancer treated with neoadjuvant chemotherapy: a multicenter, retrospective study

Published in EClinicalMedicine • Mar 24, 2023

Authors:

Yühong Huang

Teng Zhu

Xiaoling Zhang

Abstract

Background: Accurate identification of pCR to neoadjuvant chemotherapy (NAC) is essential for determining appropriate surgery strategy and guiding resection extent in breast cancer. However, a non-invasive tool to predict pCR accurately is lacking. Our study aims to develop ensemble learning models ...

Subject

Medicine

Breast cancer

Breast MRI

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