Prediction of axillary lymph node pathological complete response to neoadjuvant therapy using nomogram and machine learning methods

Prediction of axillary lymph node pathological complete response to neoadjuvant therapy using nomogram and machine learning methods

PurposeTo determine the feasibility of predicting the rate of an axillary lymph node pathological complete response (apCR) using nomogram and machine learning methods.MethodsA total of 247 patients with early breast cancer (eBC), who underwent neoadjuvant therapy (NAT) were included retrospectively....

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Bibliographic Details
Main Authors: Tianyang Zhou, Mengting Yang, Mijia Wang, Linlin Han, Hong Chen, Nan Wu, Shan Wang, Xinyi Wang, Yuting Zhang, Di Cui, Feng Jin, Pan Qin, Jia Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-10-01
Series:Frontiers in Oncology
Subjects:
breast cancer
axillary lymph node pathological complete response
neoadjuvant therapy
nomogram
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2022.1046039/full

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https://www.frontiersin.org/articles/10.3389/fonc.2022.1046039/full

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