Enhancing knee MRI bone marrow lesion detection with artificial intelligence: An external validation study
AI significantly increased the sensitivity and specificity of bone marrow edema detection for general radiologists and shortened the reading process. AI-assisted detection of bone edema in the knee also opens up new perspectives for the longitudinal monitoring of patients with knee osteoarthritis.
Authors
- Philippine Cordelle
- Gaspard d’Assignies (ORCID: https://orcid.org/0000-0002-2770-4951)
- Guillaume Herpe (ORCID: https://orcid.org/0000-0002-4775-4120)
- Pascal Zille
- A. Feydy (ORCID: https://orcid.org/0000-0002-9772-3947)
- Tom Vesoul
- Kevin Maarek
Institutions
- Université Paris Cité (FR)
- Hôpital Cochin (FR)
- Centre Hospitalier Universitaire de Poitiers (FR)
- Groupe Hospitalier du Havre (FR)
Publication Details
- Journal
- Research in Diagnostic and Interventional Imaging
- Published
- 2025-08-14
- DOI
- https://doi.org/10.1016/j.redii.2025.100063
- Primary Topic
- Osteoarthritis Treatment and Mechanisms
- Type
- article
- Field-Weighted Citation Impact
- 0.00