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DOI 10.1098/rsif.2012.0608

Медицинская библиотека · Journal of the Royal Society, Interface · 2013

Probing articular cartilage damage and disease by quantitative magnetic resonance imaging.

Chan Deva D, Neu Corey P

СтатьяПоддержка исследования: вне правительства СШАПоддержка правительства СШАОбзорПеревод в очереди

Аннотация

Osteoarthritis (OA) is a debilitating disease that reflects a complex interplay of biochemical, biomechanical, metabolic and genetic factors, which are often triggered by injury, and mediated by inflammation, catabolic cytokines and enzymes. An unmet clinical need is the lack of reliable methods that are able to probe the pathogenesis of early OA when disease-rectifying therapies may be most effective. Non-invasive quantitative magnetic resonance imaging (qMRI) techniques have shown potential for characterizing the structural, biochemical and mechanical changes that occur with cartilage degeneration. In this paper, we review the background in articular cartilage and OA as it pertains to conventional MRI and qMRI techniques. We then discuss how conventional MRI and qMRI techniques are used in clinical and research environments to evaluate biochemical and mechanical changes associated with degeneration. Some qMRI techniques allow for the use of relaxometry values as indirect biomarkers for cartilage components. Direct characterization of mechanical behaviour of cartilage is possible via other specialized qMRI techniques. The combination of these qMRI techniques has the potential to fully characterize the biochemical and biomechanical states that represent the initial changes associated with cartilage degeneration. Additionally, knowledge of in vivo cartilage biochemistry and mechanical behaviour in healthy subjects and across a spectrum of osteoarthritic patients could lead to improvements in the detection, management and treatment of OA.

Для цитирования: Chan Deva D, Neu Corey P. Probing articular cartilage damage and disease by quantitative magnetic resonance imaging.. Journal of the Royal Society, Interface. 2013. DOI: 10.1098/rsif.2012.0608.

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