Habitat radiomics analysis for progression free survival and immune-related adverse reaction prediction in non-small cell lung cancer treated by immunotherapy

Habitat radiomics analysis for progression free survival and immune-related adverse reaction prediction in non-small cell lung cancer treated by immunotherapy

Abstract Background Non-small cell lung cancer (NSCLC) is highly heterogeneous, leading to varied treatment responses and immune-related adverse reactions (irAEs) among patients. Habitat radiomics allows non-invasive quantitative assessment of intratumor heterogeneity (ITH). Therefore, our objective...

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Main Authors: Yuemin Wu, Wei Zhang, Xiao Liang, Pengpeng Zhang, Mengzhe Zhang, Yuqin Jiang, Yanan Cui, Yi Chen, Wenxin Zhou, Qi Liang, Jiali Dai, Chen Zhang, Jiali Xu, Jun Li, Tongfu Yu, Zhihong Zhang, Renhua Guo
Format: Article
Language:English
Published: BMC 2025-04-01
Series:Journal of Translational Medicine
Subjects:
Non-small cell lung cancer
Machine learning
Habitat radiomics
Tumor microenvironment
Immune-related adverse events
Online Access:https://doi.org/10.1186/s12967-024-06057-y
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https://doi.org/10.1186/s12967-024-06057-y

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