Imaging‐proteomic analysis for prediction of neoadjuvant chemotherapy responses in patients with breast cancer

202311 citationsJournal Articlegold Open Access

Authors

Jingxian Duan · Chinese Academy of Sciences

Yuanshen Zhao · Chinese Academy of Sciences

Qiuchang Sun · Chinese Academy of Sciences

Dong Liang · Chinese Academy of Sciences

Zaiyi Liu · Guangdong Academy of Medical Sciences

Xin Chen · Guangzhou First People's Hospital

Zhicheng Li ·

Abstract

Our study offers a biologically interpretable DLS for the prediction of pCR to neoadjuvant chemotherapy in patients with breast cancer, which may guide personalized medication.

Topics & Keywords

Radiomics and Machine Learning in Medical Imaging Breast Cancer Treatment Studies Medical Imaging Techniques and Applications

UN Sustainable Development Goals

Good health and well-being

Publication Details

Published in: Cancer Medicine

Volume 12, Issue 23, pp. 21256-21269

DOI: 10.1002/cam4.6704

Field-Weighted Citation Impact: 2.53