Prediction of programmed death-ligand 1 expression levels in non-small cell lung cancer patients based on 18F-fluorodeoxyglucose PET/computed tomography radiomics features
The multimodal combined model, integrating PET/CT radiomics with clinical factors, shows significant potential for noninvasively predicting PD-L1 expression in NSCLC, offering a novel strategy for precise patient selection for anti-PD-L1 immunotherapy.
Authors
- L Q Wang
- Xiaohong Zhou
- Xiaofei Liu (ORCID: https://orcid.org/0009-0002-2211-6226)
- Jiaqi Ji (ORCID: https://orcid.org/0000-0002-2190-9040)
- Wen Chen
- Yuang Liu
- Yufeng Wang
- Wenjing Chen
Institutions
- Hebei North University (CN)
- Chinese PLA General Hospital (CN)
- Beijing Haidian Hospital (CN)
Publication Details
- Journal
- Nuclear Medicine Communications
- Published
- 2026-02-16
- DOI
- https://doi.org/10.1097/mnm.0000000000002125
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00