Radiomic subtypes predict survival and chemotherapy benefit in stage I lung adenocarcinoma: a multicenter study
Conventional tumor-node-metastasis (TNM) staging does not adequately capture tumor heterogeneity in stage I LUAD. Three CT-based radiomic subtypes were established, with the high-risk subgroup correlating with systemic inflammatory imbalance and poorer OS. CT-based radiomic stratification identifies stage IB patients who benefit from adjuvant chemotherapy, supporting personalized postoperative management.
Authors
- Guangyu Tao (ORCID: https://orcid.org/0000-0002-8823-9969)
- Zhenghai Lu
- Xin Cheng
- H. Zhong
- Dongying Wang
- Hong Yu
- Wei Nie
Institutions
- Shanghai Jiao Tong University (CN)
- XinHua Hospital (CN)
- Shanghai Chest Hospital (CN)
- Shanghai University of Medicine and Health Sciences (CN)
Publication Details
- Journal
- Insights into Imaging
- Published
- 2026-03-02
- DOI
- https://doi.org/10.1186/s13244-026-02228-1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Science and Technology Commission of Shanghai Municipality