Prediction of tumor spread through air spaces with an automatic segmentation deep learning model in peripheral stage I lung adenocarcinoma
The DL model based on automatic segmentation technology shows significant promise in preoperatively predicting STAS in peripheral stage I LUAD, surpassing traditional radiomics models in diagnostic accuracy and clinical applicability. Clinical trial number The clinical trial was registered on April 22, 2024, with the registration number researchregistry10213 ( www.researchregistry.com ).
Authors
- Cong Liu (ORCID: https://orcid.org/0000-0001-9971-4991)
- Ping Gong (ORCID: https://orcid.org/0000-0002-4782-1741)
- Xiu-Qing Xue
- Hui Qian
- Xiaofeng Li (ORCID: https://orcid.org/0000-0002-2357-7940)
- Yufeng Wang (ORCID: https://orcid.org/0000-0002-4576-1984)
- Chao Jia (ORCID: https://orcid.org/0000-0002-7175-8025)
- Hongying Zhao
Institutions
- Jiangsu University (CN)
- Xuzhou Medical College (CN)
- Nantong University (CN)
- Xuzhou Cancer Hospital (CN)
- Yancheng First People's Hospital (CN)
- Xuzhou No.1 People's Hospital (CN)
Publication Details
- Journal
- Respiratory Research
- Published
- 2025-03-08
- DOI
- https://doi.org/10.1186/s12931-025-03174-0
- Citations
- 4
- Primary Topic
- Lung Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 6.07
Funders
- National Natural Science Foundation of China
- Jiangsu University
- Xuzhou Science and Technology Bureau