A deep learning-clinical combined model with SHapley Additive exPlanations (SHAP) method for assessing the tumor spread through air spaces in lung adenocarcinoma: a multicohort retrospective study
A combined model based on the DL-score and clinically independent risk factors can accurately evaluate disease STAS in patients with LUAD. Additionally, an interpretable framework can increase the transparency of the model, provide clear explanations for personalized risk prediction, and offer a more intuitive understanding of the effects of the key features in the model.
Authors
- Lijun Kang (ORCID: https://orcid.org/0000-0001-9939-5134)
- Y.-R. Lin (ORCID: https://orcid.org/0000-0003-0864-6693)
- Zhiping Cai (ORCID: https://orcid.org/0000-0001-5726-833X)
- Haixiong Chen
- Shaomin Yang (ORCID: https://orcid.org/0000-0001-7932-4777)
- Yi Sun (ORCID: https://orcid.org/0000-0002-0906-5682)
- Yufeng Song (ORCID: https://orcid.org/0000-0003-3822-8345)
- Han Xie (ORCID: https://orcid.org/0000-0003-4914-5131)
- Kui Chen (ORCID: https://orcid.org/0000-0002-7925-9968)
- Yifan Chen (ORCID: https://orcid.org/0000-0002-8433-3210)
- Ziwei Liu (ORCID: https://orcid.org/0000-0002-0020-0956)
- Jianfang Sun (ORCID: https://orcid.org/0000-0001-9229-4904)
- Baoliang Guo (ORCID: https://orcid.org/0000-0002-0850-2430)
- Qiugen Hu (ORCID: https://orcid.org/0000-0002-4642-9131)
- Rong Zhang (ORCID: https://orcid.org/0000-0002-4614-7644)
- Xiaoyan Cai
- Chen-Zheng-Ren Bao
Institutions
- Central South University (CN)
- The First People's Hospital of Shunde (CN)
- Chenzhou First People's Hospital (CN)
- Third Xiangya Hospital (CN)
- Southern Medical University (CN)
- South China University of Technology (CN)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2025-09-24
- DOI
- https://doi.org/10.21037/qims-2025-887
- Primary Topic
- Lung Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00