Radiomics of Vascular Structures in Pulmonary Ground-glass Nodules: A Predictor of Invasiveness
The radiomics models based on internal vascular structures of GGNs outperformed those based on GGNs alone, suggesting that incorporating vascular radiomics analysis can improve the noninvasive assessment of GGN invasiveness, thereby aiding in clinical decision-making and guiding biopsy selection and treatment planning.
Authors
- Yongsheng He (ORCID: https://orcid.org/0000-0001-6352-6286)
- Wuling Wang
- Qi Dong (ORCID: https://orcid.org/0000-0002-0088-7217)
- Qiong Chen (ORCID: https://orcid.org/0000-0002-2534-8834)
- Zhen Tang (ORCID: https://orcid.org/0000-0002-9154-5182)
- Xuan Qi (ORCID: https://orcid.org/0000-0002-7581-6106)
- Hongkai Yang (ORCID: https://orcid.org/0009-0005-2303-0725)
Institutions
- Anhui Medical University (CN)
- Dahua Hospital (CN)
- Anshan Hospital (CN)
- Anhui University of Technology (CN)
Publication Details
- Journal
- Current Medical Imaging Formerly Current Medical Imaging Reviews
- Published
- 2025-04-23
- DOI
- https://doi.org/10.2174/0115734056385352250410053810
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.36