CT-based nomogram for predicting EGFR mutation status in ground-glass nodules of lung adenocarcinoma
The nomogram integrating maximum diameter, CTR, mean CT value, air bronchogram signs, and vascular convergence signs effectively predicts EGFR mutation status in GGNs, offering a valuable tool for clinical guidance and patient management strategies.
Authors
- Liuyang Yang (ORCID: https://orcid.org/0000-0001-6140-6846)
- Hong Yao (ORCID: https://orcid.org/0000-0002-3333-0925)
- Wangcai Li
- Li Li (ORCID: https://orcid.org/0000-0002-9702-4601)
- Chen Zhou (ORCID: https://orcid.org/0009-0000-5713-0074)
- Xinjie Zhou (ORCID: https://orcid.org/0000-0001-7618-4887)
- Jie Zhao (ORCID: https://orcid.org/0009-0009-0909-0093)
- Yantao Yang (ORCID: https://orcid.org/0000-0002-2489-7639)
- Lianhua Ye (ORCID: https://orcid.org/0000-0002-7748-5830)
- Qiubo Huang
- Yaowu Duan
Institutions
- Kunming Medical University (CN)
Publication Details
- Journal
- Frontiers in Immunology
- Published
- 2025-11-20
- DOI
- https://doi.org/10.3389/fimmu.2025.1630119
- Primary Topic
- Lung Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Kunming Medical University