Deep learning model for the early prediction of pathologic response following neoadjuvant chemotherapy in breast cancer patients using dynamic contrast-enhanced MRI

PurposeThis study aims to investigate the diagnostic accuracy of various deep learning methods on DCE-MRI, in order to provide a simple and accessible tool for predicting pathologic response of NAC in breast cancer patients.MethodsIn this study, we enrolled 313 breast cancer patients who had complet...

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Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	Meng Lv, BinXin Zhao, Yan Mao, Yongmei Wang, Xiaohui Su, Zaixian Zhang, Jie Wu, Xueqiang Gao, Qi Wang
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	Frontiers Media S.A. 2025-02-01
Σειρά:	Frontiers in Oncology
Θέματα:	breast cancer neoadjuvant chemotherapy Miller-Payne grading criteria dynamic contrast enhancement MRI deep learning model
Διαθέσιμο Online:	https://www.frontiersin.org/articles/10.3389/fonc.2025.1491843/full
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