Ultrasound-based radiomics and machine learning for enhanced diagnosis of knee osteoarthritis: Evaluation of diagnostic accuracy, sensitivity, specificity, and predictive value
The use of radiomics features in diagnosing knee OA shows potential as a supportive tool for enhancing clinicians' decision-making.
Authors
- Masaki Kaminaga
- Yukinori Okada (ORCID: https://orcid.org/0000-0002-6382-0159)
- Eiichiro Okumura
- T. Kiso (ORCID: https://orcid.org/0009-0000-7905-7453)
- Erika Okumura
- Kouta Shichiji
- Noritaka Hatsumi
- Ryohei Matsuura (ORCID: https://orcid.org/0000-0001-6876-6924)
- Satoru Kawata
- Hikaru Kuwano
Institutions
- Tokyo Medical University (JP)
- Suzuka University of Medical Science (JP)
- Kyorin University (JP)
- Unitika (Japan) (JP)
- Tsukuba Medical Center Hospital (JP)
- Tsukuba International University (JP)
Publication Details
- Journal
- European Journal of Radiology Open
- Published
- 2025-04-04
- DOI
- https://doi.org/10.1016/j.ejro.2025.100649
- Citations
- 6
- Primary Topic
- Osteoarthritis Treatment and Mechanisms
- Type
- article
- Field-Weighted Citation Impact
- 10.01