Joint model based on intratumoral and peritumoral computed tomography radiomics integrated with clinical features for predicting the spread through air spaces in lung adenocarcinoma: a multicenter study
The joint model developed in this study, integrating intratumoral, peritumoral, and clinical features, serves as a robust tool for predicting the occurrence of STAS in patients with lung adenocarcinoma. This model can aid in the formulation of precise and appropriate surgical strategies.
Authors
- Jin-Song Sun
- Ziwei Liu (ORCID: https://orcid.org/0000-0002-0020-0956)
- Rong Zhang (ORCID: https://orcid.org/0000-0003-2941-4808)
- S. Deng (ORCID: https://orcid.org/0000-0003-4895-165X)
- Qiugen Hu (ORCID: https://orcid.org/0000-0002-4642-9131)
- Chen-Zheng-Ren Bao
- Dehua Chen (ORCID: https://orcid.org/0000-0002-1779-8026)
Institutions
- The First People's Hospital of Shunde (CN)
- Southern Medical University (CN)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2025-09-24
- DOI
- https://doi.org/10.21037/qims-2024-2836
- Primary Topic
- Lung Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00