CT radiomics-based long-term survival prediction for locally advanced non-small cell lung cancer patients treated with concurrent chemoradiotherapy using features from tumor and tumor organismal environment

CT radiomics-based long-term survival prediction for locally advanced non-small cell lung cancer patients treated with concurrent chemoradiotherapy using features from tumor and tumor organismal environment

Abstract Background Definitive concurrent chemoradiotherapy (CCRT) is the standard treatment for locally advanced non-small cell lung cancer (LANSCLC) patients, but the treatment response and survival outcomes varied among these patients. We aimed to identify pretreatment computed tomography-based r...

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Bibliographic Details
Main Authors: Nai-Bin Chen, Mai Xiong, Rui Zhou, Yin Zhou, Bo Qiu, Yi-Feng Luo, Su Zhou, Chu Chu, Qi-Wen Li, Bin Wang, Hai-Hang Jiang, Jin-Yu Guo, Kang-Qiang Peng, Chuan-Miao Xie, Hui Liu
Format: Article
Language:English
Published: BMC 2022-11-01
Series:Radiation Oncology
Subjects:
Locally advanced non-small cell lung cancer
Radiomics
Machine learning
Long-term survival prediction
Tumor organismal environment.
Online Access:https://doi.org/10.1186/s13014-022-02136-w

Internet

https://doi.org/10.1186/s13014-022-02136-w

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