Predicting the immune therapy response of advanced non-small cell lung cancer based on primary tumor and lymph node radiomics features
The nodal model based on delta-RFs performed well in distinguishing responders from non-responders and could identify patients more likely to benefit from immunotherapy. Finally, the nodal model exhibited a higher classification performance than the tumor model.
Authors
- Yonggang Qiu
- Cong He
- Lingtong Kong (ORCID: https://orcid.org/0009-0003-9648-4395)
- Hongwei Xu (ORCID: https://orcid.org/0000-0002-0470-705X)
- Dong Xie (ORCID: https://orcid.org/0000-0002-3715-1801)
- Jinna Yu
- Linfeng Fu
- Han Jiang (ORCID: https://orcid.org/0009-0006-6760-6914)
Institutions
- Shaoxing Second Hospital (CN)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2025-04-03
- DOI
- https://doi.org/10.3389/fmed.2025.1541376
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.36