Development and validation of a pathological model predicting the efficacy of neoadjuvant therapy for breast cancer based on RCB scoring

Development and validation of a pathological model predicting the efficacy of neoadjuvant therapy for breast cancer based on RCB scoring

Introduction Breast cancer has become the most prevalent malignant tumor among women globally, posing a serious threat to women’s life and health. Neoadjuvant therapy (NAT) has emerged as one of the standard treatment approaches for breast cancer patients. However, due to varying responses to NAT am...

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Bibliographic Details
Main Authors: Huan Li, Xianli Ju, Chuanfei Zeng, Zhengzhuo Chen, LinXin Yu, Ge Ke, Ziyin Huang, Youping Wang, Jingping Yuan, Mingkai Chen
Format: Article
Language:English
Published: Termedia Publishing House 2024-05-01
Series:Archives of Medical Science
Subjects:
breast cancer
pathomics
residual cancer burden
neoadjuvant therapy
Online Access:https://www.archivesofmedicalscience.com/Development-and-validation-of-a-pathological-model-predicting-the-efficacy-of-neoadjuvant,188006,0,2.html
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