A nomogram for preoperative prediction of invasiveness in solitary pulmonary adenocarcinoma: a multicenter study
The integration of tumor markers with CT imaging features enables preoperative noninvasive prediction of invasiveness in pulmonary adenocarcinoma.
Authors
- Xuefeng Kan (ORCID: https://orcid.org/0000-0003-3597-4166)
- Liming Xia (ORCID: https://orcid.org/0000-0001-8481-3380)
- Xiaofei Yue (ORCID: https://orcid.org/0000-0001-9903-8305)
- Dan Wang (ORCID: https://orcid.org/0000-0001-9079-2360)
- Xiaocui Liu (ORCID: https://orcid.org/0000-0002-0255-7625)
- Xiuying Yang
- Chuansheng Zheng
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)
- Tongji Hospital (CN)
- Huazhong University of Science and Technology (CN)
Publication Details
- Journal
- Journal of Thoracic Disease
- Published
- 2025-10-01
- DOI
- https://doi.org/10.21037/jtd-2025-950
- Primary Topic
- Lung Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00