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

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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Bibliographic Details
Main Authors: Xun Wang, Aiping Zhang, Huipeng Yang, Guqing Zhang, Junli Ma, Shucheng Ye, Shuang Ge
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
Radiation pneumonia
Radiomic
Dosiomic
Deep learning
Non-small cell lung cancer
Online Access:https://doi.org/10.1038/s41598-025-02045-4
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https://doi.org/10.1038/s41598-025-02045-4

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