2.5D peritumoural radiomics predicts postoperative recurrence in stage I lung adenocarcinoma
The combined preoperative radiation-clinical omics model provides good predictive value for postoperative recurrence in stage ILUAD and combines the model's superiority in both internal and external validation cohorts, demonstrating its potential to aid in postoperative treatment strategies.
Authors
- Fengming Xu (ORCID: https://orcid.org/0000-0003-3992-1352)
- Qing Feng
- Tao Li (ORCID: https://orcid.org/0000-0001-6689-2951)
- Haimei Lan
- Chaosheng Wei
- Eqing Yang
- Dayu Lu
Institutions
- Guangxi Longtan Hospital (CN)
- Fourth Affiliated Hospital of Guangxi Medical University (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2024-08-29
- DOI
- https://doi.org/10.3389/fonc.2024.1382815
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.40
Funders
- Guangxi Zhuang Autonomous Region Health and Family Planning Commission