Application of deep learning model based on unenhanced chest CT for opportunistic screening of osteoporosis: a multicenter retrospective cohort study
The application of unenhanced chest CT is increasing. Most people do not consciously use DXA to screen themselves for osteoporosis. A deep learning model was constructed based on CT images from four institutions.
Authors
- Chenxuan Hong
- Jianpeng Chen (ORCID: https://orcid.org/0000-0001-7599-9961)
- Jiasen Hu
- Yingze Zhang (ORCID: https://orcid.org/0000-0003-2746-529X)
- Ya-Ping Jin (ORCID: https://orcid.org/0000-0002-6348-0895)
- Chengbin Huang (ORCID: https://orcid.org/0009-0003-2127-3841)
- Bingzhang Wang
- Zijian Yan
- Dengying Wu
Institutions
- Hebei Medical University (CN)
- Nankai University (CN)
- Wenzhou Medical University (CN)
- Third Hospital of Hebei Medical University (CN)
- Wenzhou Hospital of Traditional Chinese Medicine (CN)
- Second Affiliated Hospital & Yuying Children's Hospital of Wenzhou Medical University (CN)
- Wenzhou City People's Hospital (CN)
- Yueqing People's Hospital (CN)
Publication Details
- Journal
- Insights into Imaging
- Published
- 2025-01-10
- DOI
- https://doi.org/10.1186/s13244-024-01817-2
- Citations
- 5
- Primary Topic
- Bone health and osteoporosis research
- Type
- article
- Field-Weighted Citation Impact
- 8.61
Funders
- National Natural Science Foundation of China