CT radiomics-based cluster analysis for predicting invasiveness of stage I lung adenocarcinoma
This study proposes a radiomics model that accurately identifies patients with IAC. This prediction tool could aid in personalized risk classification and treatment planning.
Authors
- Tianxiao Yao
- Haipeng Jia (ORCID: https://orcid.org/0000-0002-9855-5367)
- Zhigang Wei (ORCID: https://orcid.org/0000-0002-5046-890X)
- Chunhai Li
Institutions
- Shandong Provincial QianFoShan Hospital (CN)
- Qilu Hospital of Shandong University (CN)
- Shandong First Medical University (CN)
Publication Details
- Journal
- Journal of Cancer Research and Therapeutics
- Published
- 2025-12-01
- DOI
- https://doi.org/10.4103/jcrt.jcrt_1286_25
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00