A CT-derived deep neural network predicts for programmed death ligand-1 expression status in advanced lung adenocarcinomas

BACKGROUND: Programmed death ligand-1 (PD-L1) expression remains a crucial predictor in selecting patients for immunotherapy. The current study aimed to non-invasively predict PD-L1 expression based on chest computed tomography (CT) images in advanced lung adenocarcinomas (LUAD), thus help select op...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhu, Ying, Liu, Yang-Li, Feng, Yu, Yang, Xiao-Yu, Zhang, Jing, Chang, Dan-Dan, Wu, Xi, Tian, Xi, Tang, Ke-Jing, Xie, Can-Mao, Guo, Yu-Biao, Feng, Shi-Ting, Ke, Zun-Fu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2020
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7475404/
https://www.ncbi.nlm.nih.gov/pubmed/32953730
http://dx.doi.org/10.21037/atm-19-4690

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7475404/
https://www.ncbi.nlm.nih.gov/pubmed/32953730
http://dx.doi.org/10.21037/atm-19-4690

Ejemplares similares