An integrated deep learning model for the prediction of pathological complete response to neoadjuvant chemotherapy with serial ultrasonography in breast cancer patients: a multicentre, retrospective study
Abstract Background The biological phenotype of tumours evolves during neoadjuvant chemotherapy (NAC). Accurate prediction of pathological complete response (pCR) to NAC in the early-stage or posttreatment can optimize treatment strategies or improve the breast-conserving rate. This study aimed to d...
Main Authors: | Lei Wu, Weitao Ye, Yu Liu, Dong Chen, Yuxiang Wang, Yanfen Cui, Zhenhui Li, Pinxiong Li, Zhen Li, Zaiyi Liu, Min Liu, Changhong Liang, Xiaotang Yang, Yu Xie, Ying Wang |
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Format: | Article |
Language: | English |
Published: |
BMC
2022-11-01
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Series: | Breast Cancer Research |
Subjects: | |
Online Access: | https://doi.org/10.1186/s13058-022-01580-6 |
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