Personalized diagnosis of radiation pneumonitis in breast cancer patients based on radiomics

Personalized diagnosis of radiation pneumonitis in breast cancer patients based on radiomics

ObjectiveThis study aimed to identify CT‐based radiomic alterations associated with radiation pneumonitis (RP) and to evaluate the feasibility of machine learning classifiers for personalized RP diagnosis in breast cancer patients using these radiomic signatures.MethodsA total of 146 planning CT sca...

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Bibliographic Details
Main Authors: Xiaobo Wen, Yutao Zhao, Wen Dong, Congbo Yang, Jinzhi Li, Li Sun, Yutao Xiu, Chang’e Gao, Ming Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-07-01
Series:Frontiers in Oncology
Subjects:
breast cancer
radiomics
radiation pneumonitis
machine learning
artificial intelligence
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2025.1609421/full
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https://www.frontiersin.org/articles/10.3389/fonc.2025.1609421/full

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