Performance analysis of a deep-learning algorithm to detect the presence of inflammation in MRI of sacroiliac joints in patients with axial spondyloarthritis
The algorithm enabled acceptable detection of inflammation according to the 2009 ASAS MRI definition in a large external validation cohort.
Authors
- Hugues Talbot (ORCID: https://orcid.org/0000-0002-2179-3498)
- Clementina López‐Medina (ORCID: https://orcid.org/0000-0002-2309-5837)
- Bengt Hoepken (ORCID: https://orcid.org/0000-0002-7487-8559)
- Théodore Aouad (ORCID: https://orcid.org/0000-0002-6286-6884)
- Evi Tselenti
- Natasha de Peyrecave (ORCID: https://orcid.org/0000-0001-5300-9226)
- A. Feydy
- Joeri Nicolaes (ORCID: https://orcid.org/0000-0003-2789-8781)
- Maxime Dougados (ORCID: https://orcid.org/0000-0003-3009-6229)
Institutions
- Inserm (FR)
- Université Paris Cité (FR)
- Université Paris-Saclay (FR)
- Sorbonne Paris Cité (FR)
- Hôpital Cochin (FR)
- Instituto Maimónides de Investigación Biomédica de Córdoba (ES)
- Assistance Publique – Hôpitaux de Paris (FR)
- CentraleSupélec (FR)
- Hospital Universitario Reina Sofía (ES)
- UCB Pharma (United Kingdom) (GB)
- Servicio Diabetología Hospital Córdoba (AR)
- University Colleges Leuven-Limburg (BE)
- Institut Cochin (FR)
- UCB Pharma (Germany) (DE)
- Centre de Recherche Épidémiologie et Statistique (FR)
- University of Córdoba (ES)
- Cordoba University (US)
- UCB Pharma (Belgium) (BE)
- KU Leuven (BE)
Publication Details
- Journal
- Annals of the Rheumatic Diseases
- Published
- 2024-10-02
- DOI
- https://doi.org/10.1136/ard-2024-225862
- Citations
- 16
- Primary Topic
- Spondyloarthritis Studies and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 7.52
Funders
- Union Chimique Belge
- UCB Pharma