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What is New in Osteoarthritis Imaging?
Majid Chalian1, Atefe Pooyan1, Ehsan Alipour1
1Department of Radiology, University of Washington, Seattle, USA; Musculoskeletal Imaging and Intervention, University of Washington, UW Radiology, Roosevelt Clinic, 4245 Roosevelt Way, NE Box 354755, Seattle, WA 98105, USA.
Radiologic Clinics of North America
|July 26, 2024
Summary
Osteoarthritis (OA) is a common joint disease. This review covers how imaging, including radiography, CT, and MRI, aids in OA diagnosis and monitoring, with a look at AI's future role.
Area of Science:
- Orthopedics and Musculoskeletal Disorders
- Radiology and Medical Imaging
- Biomedical Engineering
Background:
- Osteoarthritis (OA) is the predominant global joint disorder.
- Recent research defines OA as a complex, whole-joint pathology with diverse causes.
- Understanding OA's etiology involves genetic, biological, and biomechanical factors.
Purpose of the Study:
- To review the role of medical imaging in diagnosing and monitoring osteoarthritis.
- To discuss current and emerging imaging techniques for OA assessment.
- To explore the potential impact of artificial intelligence on OA research.
Main Methods:
- Review of current literature on OA imaging.
- Discussion of radiography, computed tomography (CT), and magnetic resonance imaging (MRI) in OA.
- Exploration of semiquantitative and quantitative imaging methods (morphologic and compositional).
Main Results:
- Radiography remains a key diagnostic tool for OA.
- Advanced CT and MRI offer detailed morphologic and compositional assessments.
- Artificial intelligence (AI) shows promise for future OA research and clinical applications.
Conclusions:
- Medical imaging is crucial for OA diagnosis and management.
- Quantitative and advanced imaging techniques provide deeper insights into OA.
- AI is poised to significantly advance OA research and patient care.
