The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
Magnetic resonance-detected subchondral bone marrow and cartilage defect characteristics associated with pain and X-ray-defined knee osteoarthritis
Open accessAbstract
OBJECTIVE To assess whether the presence of subchondral bone marrow abnormalities (bone marrow edema (BME)) and cartilage defects, determined by magnetic resonance imaging (MRI), would explain the difference between painful osteoarthritis of the knee (OAK) compared with painless OAK or pain without OAK. METHOD Four groups of women (30 per group), aged 35-55 years, were recruited from the southeast Michigan Osteoarthritis cohort (group 1: painful OAK; group 2: painless OAK; group 3: knee pain without OAK; and group 4: no OAK or knee pain). OAK was defined by a Kellgren-Lawrence score of 2 or greater, while pain was based on self-report. BME and cartilage defects were identified from MRI. RESULTS BME lesions were identified in 56% of all knees. BME lesions were four times (95% CI=1.7, 8.7) more likely to occur in the painless OAK group as compared with the group with pain, but no OAK. BME lesions >1cm were more frequent (OR=5.0; 95% CI=1.4, 10.5) in the painful OAK group than all other groups. While the frequency of BME lesions was similar in the painless OAK and painful OAK groups, there were more lesions, >1cm, in the painful OAK group. About 75% of all knees had evidence of some cartilage defect, of which 35% were full-thickness defects. Full-thickness cartilage defects occurred frequently in painful OAK. One-third of knees with full-thickness defects and 47% of knees with cartilage defects involving bone had BME >1cm. Women with radiographic OA, full-thickness articular cartilage defects, and adjacent subchondral cortical bone defects were significantly more likely to have painful OAK than other groups (OR=3.2; 95% CI=1.3, 7.6). CONCLUSION The finding on MRI of subchondral BME cannot satisfactorily explain the presence or absence of knee pain. However, women with BME and full-thickness articular cartilage defects accompanied by adjacent subchondral cortical bone defects were significantly more likely to have painful OAK than painless OAK.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
(1990) · Choice Reviews Online · doi:10.5860/choice.27-3338 · Cited by 35,305
Statistical Methods for Rates and Proportions
Fleiss, J. L., Levin, B., & Paik, M. C. (2003) · Wiley Series in Probability and Statistics · doi:10.1002/0471445428 · Cited by 18,646
Statistical Methods for Rates and Proportions.
Everitt, B. S., & Fleiss, J. L. (1981) · Biometrics · doi:10.2307/2530193 · Cited by 8,990
The Association of Bone Marrow Lesions with Pain in Knee Osteoarthritis
Felson, D. T., Chaisson, C. E., Hill, C. L., Totterman, S. M. S., Gale, M. E., Skinner, K. M., Kazis, L., & Gale, D. R. (2001) · Annals of Internal Medicine · doi:10.7326/0003-4819-134-7-200104030-00007 · Cited by 1,002
Musculoskeletal Conditions in the United States
Praemer, A., Furner, S. E., & Rice, D. P. (1992) · Medical Entomology and Zoology · Cited by 930
Zanetti, M., Bruder, E., Romero, J., & Hodler, J. (2000) · Radiology · doi:10.1148/radiology.215.3.r00jn05835 · Cited by 638
POTTER, H. G., LINKLATER, J. M., ALLEN, A. A., HANNAFIN, J. A., & HAAS, S. B. (1998) · The Journal of Bone & Joint Surgery · doi:10.2106/00004623-199809000-00005 · Cited by 590
Transient osteoporosis: transient bone marrow edema?
Wilson, A. J., Murphy, W. A., Hardy, D. C., & Totty, W. G. (1988) · Radiology · doi:10.1148/radiology.167.3.3363136 · Cited by 428
Bredella, M. A., Tirman, P. F., Peterfy, C. G., Zarlingo, M., Feller, J. F., Bost, F. W., Belzer, J. P., Wischer, T. K., & Genant, H. K. (1999) · American Journal of Roentgenology · doi:10.2214/ajr.172.4.10587150 · Cited by 380
Radiographic assessment of progression in osteoarthritis
Altman, R. D., Fries, J. F., Bloch, D. A., Carstens, J., Derek Mb, T. C., Genant, H., Gofton, P., Groth, H., Mcshane, D. J., Murphy, W. A., et al. (1987) · Arthritis & Rheumatism · doi:10.1002/art.1780301103 · Cited by 372
Cited by
Subchondral bone microenvironment in osteoarthritis and pain
Hu, Y., Chen, X., Wang, S., Jing, Y., & Su, J. (2021) · Bone Research · doi:10.1038/s41413-021-00147-z · Cited by 577
Felson, D. T., Niu, J., Guermazi, A., Roemer, F., Aliabadi, P., Clancy, M., Torner, J., Lewis, C. E., & Nevitt, M. C. (2007) · Arthritis & Rheumatism · doi:10.1002/art.22851 · Cited by 432
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
Bone–cartilage crosstalk: a conversation for understanding osteoarthritis
Findlay, D. M., & Kuliwaba, J. S. (2016) · Bone Research · doi:10.1038/boneres.2016.28 · Cited by 283
Deep convolutional neural network for segmentation of knee joint anatomy
Zhou, Z., Zhao, G., Kijowski, R., & Liu, F. (2018) · Magnetic Resonance in Medicine · doi:10.1002/mrm.27229 · Cited by 202
Metadata
- Authors
- Sowers, M. F., Hayes, C., Jamadar, D., Capul, D., Lachance, L., Jannausch, M., & Welch, G.
- Venue
- Osteoarthritis and Cartilage
- Publisher
- Elsevier BV
- Published
- 2003-06
- Volume
- 11
- Issue
- 6
- Pages
- 387-393
- ISSN
- 1063-4584 (ISSN-L)
- OpenAlex
- W1997140718
- Cited by
- 289
- References
- 20
- FWCI
- 6.71
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Magnetic resonance-detected subchondral bone marrow and cartilage defect characteristics associated with pain and X-ray-defined knee osteoarthritis. https://app.cochat.ai/papers/10.1016/s1063-4584(03)00080-3
- The paper
- Sowers, M. F., Hayes, C., Jamadar, D., Capul, D., Lachance, L., Jannausch, M., & Welch, G. (2003). Magnetic resonance-detected subchondral bone marrow and cartilage defect characteristics associated with pain and X-ray-defined knee osteoarthritis. Osteoarthritis and Cartilage. https://doi.org/10.1016/s1063-4584(03)00080-3
Data sources
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.