A nomogram integrating the clinical and CT imaging characteristics for assessing spread through air spaces in clinical stage IA lung adenocarcinoma
By integrating clinical and CT imaging characteristics, a nomogram model was developed to predict the occurrence of STAS, demonstrating robust predictive performance and providing valuable support for decision-making in patients with stage IA lung adenocarcinoma.
Authors
- Huilian Hu
- Qiubo Huang
- Wangcai Li
- Li Li (ORCID: https://orcid.org/0000-0002-6506-1555)
- Chen Zhou (ORCID: https://orcid.org/0000-0002-7659-8083)
- Jia Luo
- Yunchao Huang (ORCID: https://orcid.org/0000-0001-9983-2293)
- Jie Zhao (ORCID: https://orcid.org/0009-0009-0909-0093)
- Yantao Yang (ORCID: https://orcid.org/0000-0002-2489-7639)
- Jiezhi Jiang
- Lianhua Ye (ORCID: https://orcid.org/0000-0002-7748-5830)
- Zhenghong Yang (ORCID: https://orcid.org/0009-0007-9105-0458)
- Guangqiang Zhao
- Yaowu Duan
Institutions
- Peking University (CN)
- Kunming Medical University (CN)
- Peking University Cancer Hospital (CN)
- Qujing Normal University (CN)
Publication Details
- Journal
- Frontiers in Immunology
- Published
- 2025-04-11
- DOI
- https://doi.org/10.3389/fimmu.2025.1519766
- Citations
- 3
- Primary Topic
- Lung Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 4.56
Funders
- National Natural Science Foundation of China
- Kunming Medical University