Development and validation of a lung biological equivalent dose-based multiregional radiomic model for predicting symptomatic radiation pneumonitis after SBRT in lung cancer patients

BackgroundThis study aimed to develop and validate a multiregional radiomic-based composite model to predict symptomatic radiation pneumonitis (SRP) in non-small cell lung cancer (NSCLC) patients treated with stereotactic body radiation therapy (SBRT).Materials and methods189 patients from two insti...

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主要な著者:	Yuxin Jiao, Aihui Feng, Shihong Li, Yanping Ren, Hongbo Gao, Di Chen, Li Sun, Xiangpeng Zheng, Guangwu Lin
フォーマット:	Artigo
言語:	Inglês
出版事項:	Frontiers Media S.A. 2024-12-01
シリーズ:	Frontiers in Oncology
主題:	SBRT symptomatic radiation pneumonitis radiomics machine learning lung cancer
オンライン･アクセス:	https://www.frontiersin.org/articles/10.3389/fonc.2024.1489217/full
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