Deep learning-based prediction of axillary pathological complete response in patients with breast cancer using longitudinal multiregional ultrasoundResearch in context

Summary: Background: Noninvasive biomarkers that capture the longitudinal multiregional tumour burden in patients with breast cancer may improve the assessment of residual nodal disease and guide axillary surgery. Additionally, a significant barrier to the clinical translation of the current data-d...

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Bibliographic Details

Published in:	EBioMedicine
Main Authors:	Yu Liu, Ying Wang, Jiaxin Huang, Shufang Pei, Yuxiang Wang, Yanfen Cui, Lifen Yan, Mengxia Yao, Yumeng Wang, Zejun Zhu, Chunwang Huang, Zaiyi Liu, Changhong Liang, Jiayao Shi, Zhenhui Li, Xiaoqing Pei, Lei Wu
Format:	Article
Language:	English
Published:	Elsevier 2025-09-01
Subjects:	Axillary lymph node positive breast cancer Pathological complete response Ultrasound Deep learning Interpretability
Online Access:	http://www.sciencedirect.com/science/article/pii/S2352396425003408