A novel decision tree algorithm model based on chest CT parameters to predict the risk of recurrence and metastasis in surgically resected stage I synchronous multiple primary lung cancer
This CT-DTA model could serve as a noninvasive, user-friendly, and practicable risk prediction tool to aid treatment decision-making in operable stage I SMPLC.
Authors
- Wenbiao Zhang (ORCID: https://orcid.org/0000-0001-6358-3109)
- Shuangjiang Li (ORCID: https://orcid.org/0000-0002-9182-7120)
- Huiyun Ma
- Guona Chen (ORCID: https://orcid.org/0000-0001-7392-398X)
- Qiong Li (ORCID: https://orcid.org/0000-0001-9044-0074)
- Baocong Liu
- Li Xu (ORCID: https://orcid.org/0009-0009-1047-1758)
Institutions
- Tongji University (CN)
- Sun Yat-sen University (CN)
- Shanghai Pulmonary Hospital (CN)
- Guangdong Academy of Medical Sciences (CN)
- Sun Yat-sen University Cancer Center (CN)
- Guangdong Provincial People's Hospital (CN)
Publication Details
- Journal
- Therapeutic Advances in Respiratory Disease
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1177/17534666251325443
- Citations
- 3
- Primary Topic
- Lung Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 4.56
Funders
- Guangdong Medical Research Foundation
- Guangzhou Municipal Science and Technology Project