Validation of voxel-based computed tomography liver fat quantification for assessing incident type 2 diabetes risk in a health check-up population
- DOI
- 10.21037/qims-2026-1-0342
- Published
- 2026-09
- Container
- Quantitative Imaging in Medicine and Surgery
- Publisher
- AME Publishing Company
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.21037/qims-2026-1-0342,
title = {Validation of voxel-based computed tomography liver fat quantification for assessing incident type 2 diabetes risk in a health check-up population},
author = {He Li and Song Li and Bin Li and Mengmeng Zou and Deyi Kong and Jing Liu and Fei Guo},
year = {2026},
journal = {Quantitative Imaging in Medicine and Surgery},
doi = {10.21037/qims-2026-1-0342},
url = {https://doi.org/10.21037/qims-2026-1-0342}
}RIS
TY - JOUR TI - Validation of voxel-based computed tomography liver fat quantification for assessing incident type 2 diabetes risk in a health check-up population AU - He Li AU - Song Li AU - Bin Li AU - Mengmeng Zou AU - Deyi Kong AU - Jing Liu AU - Fei Guo PY - 2026 JO - Quantitative Imaging in Medicine and Surgery DO - 10.21037/qims-2026-1-0342 UR - https://doi.org/10.21037/qims-2026-1-0342 ER -
APA
Li, H., Li, S., Li, B., Zou, M., Kong, D., Liu, J., & Guo, F. (2026). Validation of voxel-based computed tomography liver fat quantification for assessing incident type 2 diabetes risk in a health check-up population. Quantitative Imaging in Medicine and Surgery. https://doi.org/10.21037/qims-2026-1-0342
Source records
- crossref · retrieved 2026-09-27T09:56:09.456Z