A radiomics-based nomogram for preoperatively predicting the invasiveness of nodular lung adenocarcinoma: a multicenter study
This radiomics-based nomogram could serve as a clinical predictive model for preoperatively predicting the invasiveness of LUAD, which contributes to the future development of more individualized therapeutic strategies.
Authors
- Xiaofei Yue
- Xiuying Yang
- Jing Li
- Xuefeng Kan
- Guilin Zhang
- Xiaocui Liu
- Chuansheng Zheng
- Bo Sun
- Jiayun Liu
Institutions
- Union Hospital (HK)
- Jinshan Hospital of Fudan University (CN)
- Hubei Provincial Center for Disease Control and Prevention (CN)
- State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing (CN)
- First Affiliated Hospital of Zhengzhou University (CN)
- Huazhong University of Science and Technology (CN)
Publication Details
- Journal
- Translational Lung Cancer Research
- Published
- 2026-02-01
- DOI
- https://doi.org/10.21037/tlcr-2025-aw-1239
- Primary Topic
- Lung Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China