Combination of computed tomography imaging-based radiomics and clinicopathological characteristics for predicting the clinical benefits of immune checkpoint inhibitors in lung cancer

Combination of computed tomography imaging-based radiomics and clinicopathological characteristics for predicting the clinical benefits of immune checkpoint inhibitors in lung cancer

Abstract Background In this study, we tested whether a combination of radiomic features extracted from baseline pre-immunotherapy computed tomography (CT) images and clinicopathological characteristics could be used as novel noninvasive biomarkers for predicting the clinical benefits of non-small ce...

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Bibliographic Details
Main Authors: Bin Yang, Li Zhou, Jing Zhong, Tangfeng Lv  , Ang Li, Lu Ma, Jian Zhong, Saisai Yin, Litang Huang, Changsheng Zhou, Xinyu Li, Ying Qian Ge, Xinwei Tao, Longjiang Zhang, Yong Son, Guangming Lu
Format: Article
Language:English
Published: BMC 2021-06-01
Series:Respiratory Research
Subjects:
Non-small cell lung cancer
Radiomics
Machine learning
Immune checkpoint inhibitors
Survival outcome
Online Access:https://doi.org/10.1186/s12931-021-01780-2

Internet

https://doi.org/10.1186/s12931-021-01780-2

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