[Application Value of an AI-based Imaging Feature Parameter Model for Predicting the Malignancy of Part-solid Pulmonary Nodule].
The random forest model constructed based on independent risk factors demonstrated the best performance in predicting the malignancy of PSN and could provide effective auxiliary predictions for clinicians, supporting individualized treatment decisions. .
Authors
- Zhipeng Su (ORCID: https://orcid.org/0000-0003-0995-7469)
- Pengfei Zhao (ORCID: https://orcid.org/0000-0003-2034-7696)
- Yuqi Meng
- Bin Li (ORCID: https://orcid.org/0009-0008-3791-0936)
- Zhizhong Zheng (ORCID: https://orcid.org/0000-0003-0352-4806)
- Tie-Niu Song
- Yiming Hui
- Zhuowen Yang
- Mingzhi Lin
Institutions
- Lanzhou University Second Hospital (CN)
- Lanzhou University (CN)
Publication Details
- Journal
- PubMed
- Published
- 2025-04-20
- DOI
- https://doi.org/10.3779/j.issn.1009-3419.2025.102.13
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article