CT-based habitat radiomics for preoperative differentiation of adenocarcinoma in situ/minimally invasive adenocarcinoma from invasive adenocarcinoma manifesting as ground-glass nodules: a multicenter study
CT-based habitat radiomics effectively quantifies intratumoral heterogeneity, significantly improving the differentiation between AIS/MIA and IAC. The combined nomogram integrating habitat features, intratumoral features, and clinical factors demonstrates excellent diagnostic performance and generalizability, providing a reliable preoperative assessment tool for individualized treatment decision-making in ground-glass nodular lung adenocarcinoma.
Authors
- Xiaoyuan Sun
- Ning Dong (ORCID: https://orcid.org/0000-0003-3045-9798)
- Yunxin Li (ORCID: https://orcid.org/0000-0003-4819-2489)
- Yumao Yan
- Hu Zhang (ORCID: https://orcid.org/0000-0002-9658-3188)
- Guochao Li (ORCID: https://orcid.org/0000-0001-6917-084X)
- Ping Wang (ORCID: https://orcid.org/0000-0002-6206-8073)
- Lin Li (ORCID: https://orcid.org/0000-0003-1839-8048)
- Hui Sheng (ORCID: https://orcid.org/0009-0005-4765-7338)
Institutions
- Shandong University of Aeronautics (CN)
- Yuhuangding Hospital (CN)
- Yantaishan Hospital (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2025-10-15
- DOI
- https://doi.org/10.3389/fonc.2025.1660071
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00