Nomograms integrating CT radiomic and deep learning signatures to predict overall survival and progression-free survival in NSCLC patients treated with chemotherapy

OBJECTIVES: This study aims to establish nomograms to accurately predict the overall survival (OS) and progression-free survival (PFS) in patients with non-small cell lung cancer (NSCLC) who received chemotherapy alone as the first-line treatment. MATERIALS AND METHODS: In a training cohort of 121 N...

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Detalles Bibliográficos
Autores principales: Chang, Runsheng, Qi, Shouliang, Wu, Yanan, Yue, Yong, Zhang, Xiaoye, Qian, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10590525/
https://www.ncbi.nlm.nih.gov/pubmed/37867196
http://dx.doi.org/10.1186/s40644-023-00620-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10590525/
https://www.ncbi.nlm.nih.gov/pubmed/37867196
http://dx.doi.org/10.1186/s40644-023-00620-4

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