Combining computed tomography radiomics and clinical features to predict lymph node metastasis in patients with lung cancer
The proposed clinical-radiomic model based on non-contrast CT achieved good performance in predicting lymph node metastasis in patients with lung cancer and may serve as a noninvasive tool to assist individualized clinical decision-making.
Authors
- Bin Yang (ORCID: https://orcid.org/0000-0003-0701-8521)
- Lei Yue (ORCID: https://orcid.org/0000-0001-6408-6251)
- Peiqi Wang (ORCID: https://orcid.org/0000-0002-5298-2953)
- Duiming Yang
- Hao Hu (ORCID: https://orcid.org/0000-0002-3605-2465)
- Jiageng Li
- Bosen Xie
- Yubo Wang
- Yadan Yin
- Mengxue Kong
- Chunyuan Wei
- Yang Fu
Institutions
- Kunming Medical University (CN)
- Panzhihua Central Hospital (CN)
- Baoshan University (CN)
- Dali University (CN)
Publication Details
- Journal
- BMC Medical Imaging
- Published
- 2026-03-16
- DOI
- https://doi.org/10.1186/s12880-026-02262-x
- Primary Topic
- Lung Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00