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

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

Abstract 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 o...

Full description

Bibliographic Details
Main Authors: Runsheng Chang, Shouliang Qi, Yanan Wu, Yong Yue, Xiaoye Zhang, Wei Qian
Format: Article
Language:English
Published: BMC 2023-10-01
Series:Cancer Imaging
Subjects:
Nomogram
Overall survival
Progression-free survival
Lung cancer
Chemotherapy treatment
Radiomics
Online Access:https://doi.org/10.1186/s40644-023-00620-4

Internet

https://doi.org/10.1186/s40644-023-00620-4

Similar Items