The value of metabolic parameters on dynamic 18F-FDG PET/CT for predicting lymph node metastasis in non-small cell lung cancer
The metabolic parameters based on dynamic and static <sup>18</sup>F-FDG PET/CT combined with CA125 can improve N-staging accuracy in patients with NSCLC.
Authors
- Xieraili Wumener
- Tao Sun (ORCID: https://orcid.org/0000-0002-6734-6837)
- Fen Du (ORCID: https://orcid.org/0000-0002-5862-4989)
- Zhiheng Yao
- L W Guo
- Shengyun Huang
- Y Liang
- Xinyu Yang
Institutions
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- National Cancer Center (US)
- Shenzhen Institutes of Advanced Technology (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2026-02-12
- DOI
- https://doi.org/10.3389/fonc.2026.1752947
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Chinese Academy of Medical Sciences
- Peking Union Medical College