Feasibility study of opportunistic osteoporosis screening on chest CT using a multi-feature fusion DCNN model
The multi-feature fusion DCNN model based on only the lumbar 1 vertebrae and clinical variables can perform bone density three-classification diagnosis and estimate volumetric bone mineral density. If confirmed in independent populations, this automated opportunistic chest CT evaluation can help clinical screening of large-sample populations to identify subjects at high risk of osteoporotic fracture.
Authors
- K. Zhang (ORCID: https://orcid.org/0000-0002-2432-1760)
- Rui Cao (ORCID: https://orcid.org/0000-0002-1821-9583)
- Shenchu Gong
- Pengcheng Lin
- Lin Wang (ORCID: https://orcid.org/0009-0002-9677-2090)
- Ze Wang (ORCID: https://orcid.org/0000-0003-0645-4831)
- Yuan Lv (ORCID: https://orcid.org/0000-0003-1807-2064)
- Jing Pan
Institutions
- Nanjing University of Chinese Medicine (CN)
- Nantong University (CN)
- Affiliated Hospital of Nantong University (CN)
- Second Affiliated Hospital of Nantong University
Publication Details
- Journal
- Archives of Osteoporosis
- Published
- 2024-10-17
- DOI
- https://doi.org/10.1007/s11657-024-01455-7
- Citations
- 4
- Primary Topic
- Bone health and osteoporosis research
- Type
- article
- Field-Weighted Citation Impact
- 1.91