Magnetic resonance imaging of normal and osteoarthritic cartilage

Lœuille, Damien; Olivier, Pierre; Mainard, Didier; Gillet, Pierre; Netter, Patrick; Blum, Alain

doi:10.1002/1529-0131(199806)41:6<963::aid-art3>3.0.co;2-3

Cited by 44 publications

(27 citation statements)

References 43 publications

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“…Historically, knee radiographs and a report of pain have been used to describe the prevalence of osteoarthritis, although there are limitations to the use of each [5][6][7][8] . There are substantial between-person differences in responses to the same level of pain stimulus 9 , but articular cartilage is without nocireceptors 10 .…”

mentioning

confidence: 99%

Associations of Anatomical Measures from MRI with Radiographically Defined Knee Osteoarthritis Score, Pain, and Physical Functioning

Sowers

Karvonen‐Gutierrez

Jacobson

et al. 2011

Journal of Bone and Joint Surgery

117

108

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mentioning

confidence: 99%

Associations of Anatomical Measures from MRI with Radiographically Defined Knee Osteoarthritis Score, Pain, and Physical Functioning

Sowers

Karvonen‐Gutierrez

Jacobson

et al. 2011

Journal of Bone and Joint Surgery

117

108

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“…Conventional radiography is limited by its inability to directly visualize articular cartilage, the tissue in which OA is thought to begin (1). Magnetic resonance imaging (MRI) offers the distinct advantage of detecting signal and morphologic changes in articular cartilage and is the most sensitive and accurate test for evaluating the articular cartilage noninvasively; MRI has been used to detect articular cartilage changes such as cartilage swelling (or "blistering"), surface fraying, fissuring, and varying degrees of cartilage thinning (2,3). Cartilagesensitive MRI techniques, such as spoiled gradient-echo (GE) or fast spin-echo (FSE) sequences, have been shown to have a significant correlation with arthroscopic grading scores (r ϭ 0.705) and thus can be used in an effective, noninvasive evaluation of the knee joint (4)(5)(6)(7).…”

mentioning

confidence: 99%

Risk factors for progressive cartilage loss in the knee

Biswal¹,

Hastie²,

Andriacchi³

et al. 2002

Arthritis & Rheumatism

207

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Objective. To evaluate the rate of progression of cartilage loss in the knee joint using magnetic resonance imaging (MRI) and to evaluate potential risk factors for more rapid cartilage loss.Methods. We evaluated baseline and followup MRIs of the knees in 43 patients (minimum time interval of 1 year, mean 1.8 years, range 52-285 weeks). Cartilage loss was graded in the anterior, central, and posterior regions of the medial and lateral knee compartments. Knee joints were also evaluated for other pathology. Data were analyzed using analysis of variance models.Results. Patients who had sustained meniscal tears showed a higher average rate of progression of cartilage loss (22%) than that seen in those who had intact menisci (14.9%) (P < 0.018). Anterior cruciate ligament (ACL) tears had a borderline significant influence (P < 0.06) on the progression of cartilage pathology. Lesions located in the central region of the medial compartment were more likely to progress to more advanced cartilage pathology (progression rate 28%; P < 0.003) than lesions in the anterior (19%; P < 0.564) and posterior (17%; P < 0.957) regions or lesions located in the lateral compartment (average progression rate 15%; P < 0.707). Lesions located in the anterior region of the lateral compartment showed less progression of cartilage degradation (6%; P < 0.001). No specific grade of lesion identified at baseline had a predilection for more rapid cartilage loss (P < 0.93).Conclusion. MRI can detect interval cartilage loss in patients over a short period (<2 years). The presence of meniscal and ACL tears was associated with more rapid cartilage loss. Cartilage lesions located in the central region of the medial compartment showed more rapid progression of cartilage loss than cartilage lesions in the anterior and posterior portions of the medial compartment. The findings in this study suggest that patients entering clinical trials investigating antiarthritis regimens may need to be randomized based on location of the lesion.

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“…Magnetic Resonance Imaging (MR/MRI) allows cartilage visualization 14,15 and detection of cartilage deterioration. 16,17 The typical joint disease markers are cartilage volume or focal thickness.…”

Section: Osteo-arthritis and Cartilage Quantificationmentioning

confidence: 99%

Semi-automatic knee cartilage segmentation

et al. 2006

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Osteo-Arthritis (OA) is a very common age-related cause of pain and reduced range of motion. A central effect of OA is wear-down of the articular cartilage that otherwise ensures smooth joint motion. Quantification of the cartilage breakdown is central in monitoring disease progression and therefore cartilage segmentation is required.Recent advances allow automatic cartilage segmentation with high accuracy in most cases. However, the automatic methods still fail in some problematic cases. For clinical studies, even if a few failing cases will be averaged out in the overall results, this reduces the mean accuracy and precision and thereby necessitates larger/longer studies. Since the severe OA cases are often most problematic for the automatic methods, there is even a risk that the quantification will introduce a bias in the results. Therefore, interactive inspection and correction of these problematic cases is desirable. For diagnosis on individuals, this is even more crucial since the diagnosis will otherwise simply fail.We introduce and evaluate a semi-automatic cartilage segmentation method combining an automatic presegmentation with an interactive step that allows inspection and correction. The automatic step consists of voxel classification based on supervised learning. The interactive step combines a watershed transformation of the original scan with the posterior probability map from the classification step at sub-voxel precision. We evaluate the method for the task of segmenting the tibial cartilage sheet from low-field magnetic resonance imaging (MRI) of knees.The evaluation shows that the combined method allows accurate and highly reproducible correction of the segmentation of even the worst cases in approximately ten minutes of interaction.

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Magnetic resonance imaging of normal and osteoarthritic cartilage

Cited by 44 publications

References 43 publications

Associations of Anatomical Measures from MRI with Radiographically Defined Knee Osteoarthritis Score, Pain, and Physical Functioning

Associations of Anatomical Measures from MRI with Radiographically Defined Knee Osteoarthritis Score, Pain, and Physical Functioning

Risk factors for progressive cartilage loss in the knee

Semi-automatic knee cartilage segmentation

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