Early prediction of immunotherapy efficacy for advanced NSCLC based on clinical and pre-treatment contrast-enhanced CT radiomics features
The integrated clinical-radiomics nomogram establishes a robust framework for early prediction of immunotherapy efficacy in advanced NSCLC, offering valuable support for personalized treatment decisions.
Authors
- Jing Jiang (ORCID: https://orcid.org/0000-0001-7679-495X)
- Hong Wang (ORCID: https://orcid.org/0000-0002-4858-8486)
- Kaibo Zhu
- Tianming Zhang (ORCID: https://orcid.org/0000-0003-0222-9741)
- Yue Hou (ORCID: https://orcid.org/0009-0005-4383-4384)
Institutions
- Lanzhou University Second Hospital (CN)
- Lanzhou University (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2025-12-19
- DOI
- https://doi.org/10.3389/fonc.2025.1711402
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Lanzhou University