The value of predicting the invasiveness and degree of infiltration of pulmonary ground-glass nodules based on computed tomography features and enhanced quantitative analysis
CT features combined with enhanced scanning and quantitative analysis have important value in predicting the invasiveness of GGNs. The type of pulmonary nodule detected on CT (pure GGN or mixed GGN) and the presence of internal vascular signs are independent risk factors for GGN invasiveness.
Authors
- Wenting Peng
- Xie Bingkun
- Zhenhe Liu (ORCID: https://orcid.org/0009-0000-1583-3273)
- Kunyue Fu
- Rong Wang (ORCID: https://orcid.org/0000-0003-4307-4985)
- Qian Wang (ORCID: https://orcid.org/0000-0002-6052-9665)
Institutions
- Qilu Hospital of Shandong University (CN)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2024-09-01
- DOI
- https://doi.org/10.21037/qims-23-1708
- Primary Topic
- Lung Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00