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

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...

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Bibliographic Details
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
Format: Article
Language:English
Published: BMC 2022-11-01
Series:Breast Cancer Research
Subjects:
Deep learning
Breast cancer
Neoadjuvant chemotherapy
Serial ultrasonography
Online Access:https://doi.org/10.1186/s13058-022-01580-6

Internet

https://doi.org/10.1186/s13058-022-01580-6

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