Deep learning-based prediction of rheumatoid arthritis-associated deformity on MRI
A deep learning model was developed to predict the development of pannus and/or facet joint deformity at the craniocervical junction of patients with RA. Future research should focus on large-scale validation of this model with diverse sites and identifying the role of the subaxial spine in the risk of deformity at the level of the craniocervical junction during the course of disease.
Authors
- Anna B. Veldman (ORCID: https://orcid.org/0000-0001-5385-4729)
- Timothy R. Smith (ORCID: https://orcid.org/0000-0001-9607-8985)
- Alexander G. Yearley (ORCID: https://orcid.org/0000-0001-9592-8263)
- Carmen Vleggeert‐Lankamp (ORCID: https://orcid.org/0000-0001-9597-7225)
- Aakanksha Rana (ORCID: https://orcid.org/0000-0002-8350-7602)
Institutions
- Brigham and Women's Hospital (US)
- Johnson & Johnson (United States) (US)
- Harvard University (US)
- Leiden University Medical Center (NL)
Publication Details
- Journal
- Brain and Spine
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1016/j.bas.2025.104328
- Primary Topic
- Rheumatoid Arthritis Research and Therapies
- Type
- article
- Field-Weighted Citation Impact
- 0.00