Advances in Imaging of Osteoarthritis and Cartilage
Abstract
Osteoarthritis (OA) is the most frequent form of arthritis, with major implications for individual and public health care without effective treatment available. The field of joint imaging, and particularly magnetic resonance (MR) imaging, has evolved rapidly owing to technical advances and the application of these to the field of clinical research. Cartilage imaging certainly is at the forefront of these developments. In this review, the different aspects of OA imaging and cartilage assessment, with an emphasis on recent advances, will be presented. The current role of radiography, including advances in the technology for joint space width assessment, will be discussed. The development of various MR imaging techniques capable of facilitating assessment of cartilage morphology and the methods for evaluating the biochemical composition of cartilage will be presented. Advances in quantitative morphologic cartilage assessment and semiquantitative whole-organ assessment will be reviewed. Although MR imaging is the most important modality in imaging of OA and cartilage, others such as ultrasonography play a complementary role that will be discussed briefly.
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An integrated framework synthesizing circulating biomarkers, synovial fluid analysis, quantitative imaging parameters, and clinical evaluation can enable clinicians to detect disease earlier, stratify patients by disease subtypes, predict progression trajectories, and monitor therapeutic responses with greater precision.
“By synthesizing information from circulating biomarkers, synovial fluid analysis, quantitative imaging parameters, and clinical evaluation, an integrated framework can help facilitate holistic orthopedic care and enable clinicians to detect disease earlier, stratify patients according to disease subtypes, predict progression trajectories, and monitor therapeutic responses with greater precision [9”
From Biomarker-Guided Imaging and AI-Augmented Diagnosis of Degenerative Joint Disease (2025) · cites this paper as [9]
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Biomarker-Guided Imaging and AI-Augmented Diagnosis of Degenerative Joint Disease
Kumar, R., Sporn, K., Borole, A., Khanna, A., Gowda, C., Paladugu, P., Ngo, A., Jagadeesan, R., Zaman, N., & Tavakkoli, A. (2025) · Diagnostics · doi:10.3390/diagnostics15111418 · Cited by 10 · see citing works
“…and clinical evaluation, an integrated framework can help facilitate holistic orthopedic care and enable clinicians to detect disease earlier, stratify patients according to disease subtypes, predict progression trajectories, and monitor therapeutic responses with greater precision [9–11].”
- Authors
- Roemer, F. W., Crema, M. D., Trattnig, S., & Guermazi, A.
- Affiliations
- Boston University (US)
- Venue
- Radiology
- Published
- 2011-08
- Volume
- 260
- Issue
- 2
- Pages
- 332-354
- ISSN
- 0033-8419 (ISSN-L)
- 1527-1315
- OpenAlex
- W2045767667
- Cited by
- 220
- References
- 0
- Citations by year
- 2026: 6 · 2025: 12 · 2024: 7 · 2023: 14 · 2022: 9 · 2021: 13 · 2020: 12 · 2019: 17 · 2018: 12 · 2017: 16 · 2016: 17 · 2015: 21 · 2014: 27 · 2013: 21 · 2012: 10
- FWCI
- 3.03
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Radiology (publishedVersion)
- PubMed (publishedVersion)
- Scientific Electronic Library Online (São Paulo Research Foundation, Latin American and Caribbean Center on Health Sciences Information, Conselho Nacional de Desenvolvimento Científico e Tecnológico) (publishedVersion)
- Topics
- Health Sciences › Medicine › Rheumatology › Osteoarthritis Treatment and Mechanisms
- Health Sciences › Medicine › Surgery › Hip disorders and treatments
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Keywords
- osteoarthritis, cartilage imaging, magnetic resonance imaging, joint space width, cartilage morphology, cartilage biochemical composition, radiography, ultrasonography
- MeSH terms
- Cartilage, Articular, Contrast Media, Humans, Magnetic Resonance Imaging, Tomography, X-Ray Computed, Ultrasonography, Weight-Bearing, Disease Progression, Osteoarthritis, Knee, Imaging, Three-Dimensional
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