Predicting Visceral Pleural Invasion in Part-Solid and Solid Nodules Using CT Features: A Systematic Review, Meta-Analysis, and Independent Cohort Validation
This meta-analysis involved the construction of an effective model for predicting VPI by integrating pleural indentation, nodule type, spiculation, lobulation, vessel convergence sign, and maximum solid diameter, which could inform preoperative clinical decision-making for subpleural part-solid and solid nodules.
Authors
- Jieke Liu
- Haomiao Qing (ORCID: https://orcid.org/0009-0001-0929-3618)
- Peng Zhou (ORCID: https://orcid.org/0000-0002-1281-6088)
- Libo Lin
- Yong Li (ORCID: https://orcid.org/0000-0003-1064-462X)
- Changjiu He (ORCID: https://orcid.org/0000-0002-0350-9799)
- Yu Long (ORCID: https://orcid.org/0009-0003-9672-6593)
Institutions
- University of Electronic Science and Technology of China (CN)
- Sichuan Cancer Hospital (CN)
Publication Details
- Journal
- Journal of Computer Assisted Tomography
- Published
- 2025-12-08
- DOI
- https://doi.org/10.1097/rct.0000000000001831
- Citations
- 1
- Primary Topic
- Pleural and Pulmonary Diseases
- Type
- article
- Field-Weighted Citation Impact
- 1.52