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

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 develop a...

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Detalles Bibliográficos
Autores principales: Wu, Lei, Ye, Weitao, Liu, Yu, Chen, Dong, Wang, Yuxiang, Cui, Yanfen, Li, Zhenhui, Li, Pinxiong, Li, Zhen, Liu, Zaiyi, Liu, Min, Liang, Changhong, Yang, Xiaotang, Xie, Yu, Wang, Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9680135/
https://www.ncbi.nlm.nih.gov/pubmed/36414984
http://dx.doi.org/10.1186/s13058-022-01580-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9680135/
https://www.ncbi.nlm.nih.gov/pubmed/36414984
http://dx.doi.org/10.1186/s13058-022-01580-6

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