Bone density measurement in patients with spinal metastatic tumors using chest quantitative CT deep learning model
The developed deep learning model using 3DResUNet effectively predicts vertebral vBMD from QCT scans in patients with spinal metastatic tumors. It provides accurate and automated vBMD measurements, potentially facilitating widespread osteoporosis screening in clinical practice, mainly where DXA availability is limited.
Authors
- G.H. Su (ORCID: https://orcid.org/0000-0001-9814-718X)
- Hao Tan (ORCID: https://orcid.org/0000-0002-3447-6600)
- Zhi Wang (ORCID: https://orcid.org/0000-0003-3664-6834)
- Yiyun Tan
- Kaibin Zeng
- Pingsen Xiao
Institutions
- Hengyang Normal University (CN)
- Hunan University of Traditional Chinese Medicine (CN)
- Hunan Academy of Traditional Chinese Medicine (CN)
Publication Details
- Journal
- Journal of bone oncology
- Published
- 2024-10-09
- DOI
- https://doi.org/10.1016/j.jbo.2024.100641
- Citations
- 2
- Primary Topic
- Medical Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.37