Deep Learning Radiomics Model Based on Computed Tomography Image for Predicting the Classification of Osteoporotic Vertebral Fractures: Algorithm Development and Validation
The RadImageNet-based fused model using CT imaging data exhibited superior predictive performance compared to the ImageNet-based model, demonstrating significant utility in OVF classification and aiding clinical decision-making for treatment planning. Among the 3 classes, the model performed best in identifying Class 2, followed by Class 0 and Class 1.
Authors
- Yixuan Liu
- Lincen Zhang
- Jun Zhang (ORCID: https://orcid.org/0000-0002-6666-8703)
- Yousheng Yuan (ORCID: https://orcid.org/0000-0003-3352-9640)
- Liang Xia
- Jiayi Liu
- Jun Tang
Institutions
- Nanjing University of Chinese Medicine (CN)
- Nantong University (CN)
- The Affiliated Taizhou People's Hospital of Nanjing Medical University (CN)
- Nanjing Medical University (CN)
Publication Details
- Journal
- JMIR Medical Informatics
- Published
- 2025-08-29
- DOI
- https://doi.org/10.2196/75665
- Citations
- 4
- Primary Topic
- Medical Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 2.70
Funders
- Jiangsu Commission of Health
- Bijzonder Onderzoeksfonds UGent