Multiregional MRI-based deep learning radiomics to predict axillary response after neoadjuvant chemotherapy in breast cancer patients

Abstract Objectives This study was designed to develop a multiregional MRI-based deep learning radiomics nomogram (DLRN) for predicting axillary pathological complete response (apCR) after neoadjuvant chemotherapy (NAC) in breast cancer. Materials and methods In total, 539 patients in our hospital w...

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Principais autores:	Weiyue Chen, Guihan Lin, Yi Zhou, Yongjun Chen, Changsheng Shi, Ting Zhao, Zhihan Yan, Zhiyi Peng, Shuiwei Xia, Min Xu, Minjiang Chen, Chenying Lu, Jiansong Ji
格式:	Artigo
語言:	Inglês
出版:	SpringerOpen 2026-01-01
叢編:	Insights into Imaging
主題:	Breast cancer Deep learning radiomics Axillary lymph node Neoadjuvant chemotherapy Peritumoral
在線閱讀:	https://doi.org/10.1186/s13244-025-02193-1
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