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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Detalhes bibliográficos

Principais autores:	Xun Wang, Aiping Zhang, Huipeng Yang, Guqing Zhang, Junli Ma, Shucheng Ye, Shuang Ge
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Nature Portfolio 2025-05-01
coleção:	Scientific Reports
Assuntos:	Radiation pneumonia Radiomic Dosiomic Deep learning Non-small cell lung cancer
Acesso em linha:	https://doi.org/10.1038/s41598-025-02045-4
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