Literature DB >> 11303902

In vivo morphometry and functional analysis of human articular cartilage with quantitative magnetic resonance imaging--from image to data, from data to theory.

F Eckstein1, M Reiser, K H Englmeier, R Putz.   

Abstract

Analyses of form-function relationships and disease processes in human articular cartilage necessitate in vivo assessment of cartilage morphology and deformational behavior. MR imaging and advanced digital post-processing techniques have opened novel possibilities for quantitative analysis of cartilage morphology, structure, and function in health and disease. This article reviews work on three-dimensional post-processing of MR image data of articular cartilage, summarizing studies on the accuracy and precision of quantitative analyses in human joints. It presents normative values on cartilage volume, thickness, and joint surface areas in the human knee, and describes the correlation between different joints and joint surfaces as well as their association with gender, body dimensions, and age. The article summarizes ongoing work on functional adaptation of articular cartilage to mechanical loading, analyses of in situ cartilage deformation in intact joints in vivo and in vitro, and the quantitative evaluation of cartilage tissue loss in osteoarthritis. We describe evolving techniques for assessment of the structural/biochemical composition of articular cartilage, and discuss future perspectives of quantitative cartilage imaging in the context of joint mechanics, mechano-adaptation, epidemiology, and osteoarthritis research. Specifically, we show that fat-suppressed gradient echo sequences permit valid analysis of cartilage morphology, both in healthy and severely osteoarthritic joints, as well as highly reproducible measurements (CV%=1 to 3% in the knee, and 2 to 10% in the ankle). Relatively small differences in cartilage morphology exist between both limbs of the same person (approximately 5%), but large differences between individuals (CV% approximately 20%). Men display only slightly thicker cartilage then women (approximately 10%), but significantly larger joint surface areas (approximately 25%), even when accounting for differences in body weight and height. Weight and height represent relatively poor predictors of cartilage thickness (r2 <15%), but muscle cross section areas display more promising correlations (r2 >40%). The level of physical exercise (sportive activity) does not account for interindividual differences in cartilage thickness. The thickness appears to decrease slightly in the elderly--in particular in women, even in the absence of osteoarthritic cartilage lesions. Strenuous physical exercises (e.g., knee bends) cause a 6% patellar cartilage deformation in young individuals, but significantly less deformation in elderly men and women (<3%). The time required for full recovery after exercise (fluid flow back into the matrix) is relatively long (approximately 90 min). Static in situ compression of femoropatellar cartilage with 150% body weight produces large deformations after 4 h (approximately 30% volume change), but only very little deformation during the first minutes of loading. Quantitative analyses of magnetization transfer and proton density hold promise for biochemical evaluation of articular cartilage, and are shown to be related to the deformational behavior of the cartilage. Application of these techniques to larger cohorts of patients in epidemiological and clinical studies will establish the role of quantitative cartilage imaging not only in basic research on form-function relationships of articular cartilage, but also in clinical research and management of osteoarthritis.

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Mesh:

Year:  2001        PMID: 11303902     DOI: 10.1007/s004290000154

Source DB:  PubMed          Journal:  Anat Embryol (Berl)        ISSN: 0340-2061


  38 in total

Review 1.  The effects of exercise on human articular cartilage.

Authors:  F Eckstein; M Hudelmaier; R Putz
Journal:  J Anat       Date:  2006-04       Impact factor: 2.610

2.  A methodology to accurately quantify patellofemoral cartilage contact kinematics by combining 3D image shape registration and cine-PC MRI velocity data.

Authors:  Bhushan S Borotikar; William H Sipprell; Emily E Wible; Frances T Sheehan
Journal:  J Biomech       Date:  2012-01-28       Impact factor: 2.712

3.  The role of tissue engineering in articular cartilage repair and regeneration.

Authors:  Lijie Zhang; Jerry Hu; Kyriacos A Athanasiou
Journal:  Crit Rev Biomed Eng       Date:  2009

4.  Short-term repeatability of joint space width measurements using a magnetic resonance imaging compatible knee positioning device.

Authors:  M F Koff; D W Stanley; P J Weishaar; K K Amrami; K R Kaufman
Journal:  Proc Inst Mech Eng H       Date:  2010       Impact factor: 1.617

5.  MRI assessment of knee osteoarthritis: Knee Osteoarthritis Scoring System (KOSS)--inter-observer and intra-observer reproducibility of a compartment-based scoring system.

Authors:  Peter R Kornaat; Ruth Y T Ceulemans; Herman M Kroon; Naghmeh Riyazi; Margreet Kloppenburg; Wayne O Carter; Thasia G Woodworth; Johan L Bloem
Journal:  Skeletal Radiol       Date:  2004-10-08       Impact factor: 2.199

6.  The effect of a six-month training program followed by a marathon run on knee joint cartilage volume and thickness in marathon beginners.

Authors:  Stefan Hinterwimmer; Matthias J Feucht; Corinna Steinbrech; Heiko Graichen; Rüdiger von Eisenhart-Rothe
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2013-09-18       Impact factor: 4.342

7.  Ferumoxytol: a new, clinically applicable label for stem-cell tracking in arthritic joints with MRI.

Authors:  Aman Khurana; Hossein Nejadnik; Fanny Chapelin; Olga Lenkov; Rakhee Gawande; Sungmin Lee; Sandeep N Gupta; Nooshin Aflakian; Nikita Derugin; Solomon Messing; Guiting Lin; Tom F Lue; Laura Pisani; Heike E Daldrup-Link
Journal:  Nanomedicine (Lond)       Date:  2013-03-27       Impact factor: 5.307

8.  Topographic Patterns of Cartilage Lesions in Knee Osteoarthritis.

Authors:  Won C Bae; Melanie M Payanal; Albert C Chen; Nancy D Hsieh-Bonassera; Brooke L Ballard; Martin K Lotz; Richard D Coutts; William D Bugbee; Robert L Sah
Journal:  Cartilage       Date:  2010-01       Impact factor: 4.634

9.  Knee cartilage MRI with in situ mechanical loading using prospective motion correction.

Authors:  Thomas Lange; Julian Maclaren; Michael Herbst; Cris Lovell-Smith; Kaywan Izadpanah; Maxim Zaitsev
Journal:  Magn Reson Med       Date:  2014-02       Impact factor: 4.668

10.  Quantitative assessment of articular cartilage morphology via EPIC-microCT.

Authors:  L Xie; A S P Lin; M E Levenston; R E Guldberg
Journal:  Osteoarthritis Cartilage       Date:  2008-09-11       Impact factor: 6.576

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