State of the Art: Imaging of Osteoarthritis-Revisited 2020.
Frank W RoemerShadpour DemehriPatrick OmoumiThomas M LinkRichard KijowskiSimo S SaarakkalaMichel D CremaAli GuermaziPublished in: Radiology (2020)
Osteoarthritis (OA) is a highly prevalent chronic condition with marked implications for affected individuals and public health care. There are available treatments to manage pain and symptoms but no effective treatment for OA. In the past 10 years, joint imaging, particularly MRI, has evolved rapidly due to technical advances and their application to clinical research, which has led to abundant evidence regarding the natural history of the disease. Radiography remains the primary imaging modality in clinical practice for the diagnosis and follow-up of OA. The many developments in MRI techniques capable of assessing cartilage morphologic features and the methods for evaluating its biochemical composition will be discussed. Advances in quantitative morphologic cartilage assessment and semiquantitative whole-organ assessment will be reviewed, as will other modalities such as US, CT and CT arthrography, and nuclear medicine techniques that play a complementary role. Various therapeutic approaches and ongoing developments, including the impact of artificial intelligence on the field of OA imaging, will also be discussed.
Keyphrases
- high resolution
- artificial intelligence
- knee osteoarthritis
- contrast enhanced
- healthcare
- magnetic resonance imaging
- computed tomography
- machine learning
- clinical practice
- rheumatoid arthritis
- deep learning
- mental health
- emergency department
- magnetic resonance
- diffusion weighted imaging
- spinal cord
- positron emission tomography
- dual energy
- pain management
- sleep quality
- postoperative pain