A Magnetic Resonance Imaging–Based Clinical Prediction Model Accurately Identifies Patellar Instability Risk Using Common Patellofemoral Measurements
This model has the potential to improve the diagnostic accuracy of patellar instability from MRI scans. The explanations provided by the model could enable clinicians to personalize care and understand the factors driving patellar instability in individual patients.
Authors
- Alireza Borjali (ORCID: https://orcid.org/0000-0002-7997-9543)
- Orhun K. Muratoglu (ORCID: https://orcid.org/0000-0003-3972-720X)
- Kartik M. Varadarajan (ORCID: https://orcid.org/0000-0003-1039-3314)
- Isha Wadhavkar
- Miho J. Tanaka (ORCID: https://orcid.org/0000-0001-6489-3803)
- Alisha Sodhi (ORCID: https://orcid.org/0000-0003-3879-3344)
- Varun Nukala (ORCID: https://orcid.org/0000-0001-7675-603X)
Institutions
- Harvard University (US)
- Massachusetts General Hospital (US)
Publication Details
- Journal
- Arthroscopy Sports Medicine and Rehabilitation
- Published
- 2025-05-30
- DOI
- https://doi.org/10.1016/j.asmr.2025.101159
- Citations
- 2
- Primary Topic
- Lower Extremity Biomechanics and Pathologies
- Type
- article
- Field-Weighted Citation Impact
- 1.35