Radiomics reveals the biological basis for non-small cell lung cancer prognostic stratification by reflecting tumor immune microenvironment heterogeneity
This study demonstrates that radiomics can non-invasively reveal tumor molecular heterogeneity and immune microenvironment characteristics, elucidating direct associations between imaging features and tumor biological behavior. These findings provide a critical theoretical foundation for the clinical translation of radiomics.
Authors
- Jun Yin (ORCID: https://orcid.org/0009-0008-5428-9969)
- Xu Nie
- Qing Huang (ORCID: https://orcid.org/0000-0001-8393-2003)
- Tianpeng Xie (ORCID: https://orcid.org/0000-0001-5038-3677)
- Peng Diao (ORCID: https://orcid.org/0009-0000-1097-1394)
- Ke Xu (ORCID: https://orcid.org/0000-0002-0121-0291)
Institutions
- Sichuan Cancer Hospital (CN)
- Chengdu University of Traditional Chinese Medicine (CN)
Publication Details
- Journal
- Frontiers in Immunology
- Published
- 2025-11-10
- DOI
- https://doi.org/10.3389/fimmu.2025.1708692
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.36