The DOI matches its Crossref record.
Occult cartilage and bone injuries of the knee: detection, classification, and assessment with MR imaging.
Abstract
Scant attention has been paid to the role of magnetic resonance (MR) imaging in the assessment of posttraumatic disorders of bone and cartilage at the knee. The authors reviewed 66 cases and identified four types of injuries that were not clearly evident on plain radiographs. A bone bruise was the most common lesion, having a high association with anterior cruciate ligament tears. Osteochondral fractures, stress fractures, and supracondylar femoral and tibial plateau fractures were also identified. MR imaging appears extremely useful in the detection and assessment of bone and cartilage disorders around the knee.
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Citations
Cited by
Osteoarthritis of the Knee: Association between Clinical Features and MR Imaging Findings
Kornaat, P. R., Bloem, J. L., Ceulemans, R. Y. T., Riyazi, N., Rosendaal, F. R., Nelissen, R. G., Carter, W. O., Hellio Le Graverand, M.-P., & Kloppenburg, M. (2006) · Radiology · doi:10.1148/radiol.2393050253 · Cited by 386
Gamada, K. (2014) · International Journal of Physical Medicine & Rehabilitation · doi:10.4172/2329-9096.1000246 · Cited by 12
Metadata
- Authors
- Mink, J. H., & Deutsch, A. L.
- Venue
- Radiology
- Published
- 1989-03
- Volume
- 170
- Issue
- 3
- Pages
- 823-829
- ISSN
- 0033-8419 (ISSN-L)
- 1527-1315
- OpenAlex
- W2077311879
- Cited by
- 467
- References
- 0
- FWCI
- 18.84
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Occult cartilage and bone injuries of the knee: detection, classification, and assessment with MR imaging. https://app.cochat.ai/papers/10.1148/radiology.170.3.2916038
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- Mink, J. H., & Deutsch, A. L. (1989). Occult cartilage and bone injuries of the knee: detection, classification, and assessment with MR imaging. Radiology. https://doi.org/10.1148/radiology.170.3.2916038
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
