Value of grayscale histogram analysis based on ultrasound images in diagnosing sarcopenia
The grayscale histogram parameters extracted from ultrasound images may be able to quantitatively reflect the differences between patients with sarcopenia and healthy individuals to some extent. Grayscale histogram analysis based on ultrasound images could be valuable for the diagnosis of sarcopenia.
Authors
- Hengtao Qi (ORCID: https://orcid.org/0000-0002-2834-3246)
- Jianbo Teng (ORCID: https://orcid.org/0000-0001-8597-3685)
- Tiezheng Wang (ORCID: https://orcid.org/0000-0002-2294-6345)
- Huawei Zhang (ORCID: https://orcid.org/0000-0001-5514-3357)
- Wen Chen (ORCID: https://orcid.org/0000-0001-5678-4949)
- Yeting Wang
- Kezhen Qin (ORCID: https://orcid.org/0009-0007-7292-5239)
Institutions
- Shandong Provincial Hospital (CN)
- Shandong First Medical University (CN)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2025-08-21
- DOI
- https://doi.org/10.21037/qims-2025-638
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00