Deep learning for predicting immunotherapeutic efficacy in advanced non-small cell lung cancer patients: a retrospective study combining progression-free survival risk and overall survival risk

BACKGROUND: Radiomics based on computed tomography (CT) images is potential in promoting individualized treatment of non-small cell lung cancer (NSCLC), however, its role in immunotherapy needs further exploration. The aim of this study was to develop a CT-based radiomics score to predict the effica...

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Detalles Bibliográficos
Autores principales: He, Bing-Xi, Zhong, Yi-Fan, Zhu, Yong-Bei, Deng, Jia-Jun, Fang, Meng-Jie, She, Yun-Lang, Wang, Ting-Ting, Yang, Yang, Sun, Xi-Wen, Belluomini, Lorenzo, Watanabe, Satoshi, Dong, Di, Tian, Jie, Xie, Dong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9073735/
https://www.ncbi.nlm.nih.gov/pubmed/35529789
http://dx.doi.org/10.21037/tlcr-22-244

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9073735/
https://www.ncbi.nlm.nih.gov/pubmed/35529789
http://dx.doi.org/10.21037/tlcr-22-244

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