Preoperative assessment of tertiary lymphoid structures in stage I lung adenocarcinoma using CT radiomics: a multicenter retrospective cohort study
As a multimodal predictive model based on preoperative CT radiomic features, RAITS demonstrated excellent performance in identifying TLSs in stage I LUAD and holds potential value in clinical decision-making.
Authors
- Mengli Xue (ORCID: https://orcid.org/0000-0002-3324-3303)
- Jun Lv (ORCID: https://orcid.org/0000-0001-7916-3870)
- Xiaojiang Zhao
- Han Zhang (ORCID: https://orcid.org/0000-0003-2810-5018)
- Kai Wang (ORCID: https://orcid.org/0000-0002-1408-4642)
- Yuhang Wang (ORCID: https://orcid.org/0000-0001-6804-0445)
- Zixiao Wang (ORCID: https://orcid.org/0000-0001-7708-4343)
- Meilin Xu
- Jie Ren (ORCID: https://orcid.org/0000-0001-8299-945X)
- Yun Ding (ORCID: https://orcid.org/0000-0002-7519-3623)
- Daqiang Sun (ORCID: https://orcid.org/0009-0001-6315-0001)
- Xin Li (ORCID: https://orcid.org/0000-0003-0669-0359)
Institutions
- Tianjin University (CN)
- Tianjin Hospital (CN)
- Tianjin Chest Hospital (CN)
- First Hospital of Qinhuangdao (CN)
- Tianjin Medical University (CN)
Publication Details
- Journal
- Cancer Imaging
- Published
- 2024-12-18
- DOI
- https://doi.org/10.1186/s40644-024-00813-5
- Citations
- 2
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.81