Habitat-based CT radiomics enhances the ability to predict spread through air spaces in stage T1 invasive lung adenocarcinoma
CT habitat imaging analysis for the preoperative prediction of STAS in stage T1 invasive LUAD shows satisfactory diagnostic performance, with the habitat3 model exhibiting the highest efficacy, reflecting tumor heterogeneity.
Authors
- Xiuhua Peng (ORCID: https://orcid.org/0000-0001-8442-2005)
- Miaomiao Hu (ORCID: https://orcid.org/0000-0002-2890-818X)
- Hongxing Zhao
- Pengliang Xu
- Shiyong Wu (ORCID: https://orcid.org/0000-0002-4104-4160)
- Jinliang Hu
- Dan Jia (ORCID: https://orcid.org/0000-0002-6464-8215)
- Biping Guo
Institutions
- Third People's Hospital of Huzhou (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2024-10-11
- DOI
- https://doi.org/10.3389/fonc.2024.1436189
- Citations
- 9
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 3.64