Multicenter development of a deep learning radiomics and dosiomics nomogram to predict radiation pneumonia risk in non-small cell lung cancer

Abstract Radiation pneumonia (RP) is the most common side effect of chest radiotherapy, and can affect patients’ quality of life. This study aimed to establish a combined model of radiomics, dosiomics, deep learning (DL) based on simulated location CT and dosimetry images combining with clinical par...

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Principais autores:	Xun Wang, Aiping Zhang, Huipeng Yang, Guqing Zhang, Junli Ma, Shucheng Ye, Shuang Ge
格式:	Artigo
语言:	Inglês
出版:	Nature Portfolio 2025-05-01
丛编:	Scientific Reports
主题:	Radiation pneumonia Radiomic Dosiomic Deep learning Non-small cell lung cancer
在线阅读:	https://doi.org/10.1038/s41598-025-02045-4
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