CT radiomics-based model for predicting TMB and immunotherapy response in non-small cell lung cancer

CT radiomics-based model for predicting TMB and immunotherapy response in non-small cell lung cancer

Abstract Background Tumor mutational burden (TMB) is one of the most significant predictive biomarkers of immunotherapy efficacy in non-small cell lung cancer (NSCLC). Radiomics allows high-throughput extraction and analysis of advanced and quantitative medical imaging features. This study develops...

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Bibliographic Details
Main Authors: Jiexiao Wang, Jialiang Wang, Xiang Huang, Yanfei Zhou, Jian Qi, Xiaojun Sun, Jinfu Nie, Zongtao Hu, Shujie Wang, Bo Hong, Hongzhi Wang
Format: Article
Language:English
Published: BMC 2024-02-01
Series:BMC Medical Imaging
Subjects:
Non-small cell lung cancer
Tumor mutation burden
Immunotherapy
Radiomics
Computed tomography
Online Access:https://doi.org/10.1186/s12880-024-01221-8

Internet

https://doi.org/10.1186/s12880-024-01221-8

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