Measurement of cartilage thickness in the human knee-joint by magnetic resonance imaging using a three-dimensional gradient-echo sequence

Kladny, Bernd; Martus, Peter; Schiwy-Bochat, Karl-Heinz; Weseloh, G.; Swoboda, B.

doi:10.1007/s002640050367

Cited by 37 publications

(23 citation statements)

References 19 publications

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“…The cartilage thickness of healthy and osteoarthritic human knee joints varies in the range of 0.5-7.4 mm (KLADNY et al, 1999). With the present method, the haemoglobin absorption peaks could often be seen for thicker cartilage layers (Fig.…”

Section: Discussionmentioning

confidence: 76%

Assessment of cartilage thickness utilising reflectance spectroscopy

Öberg

Sundqvist

Johansson

2004

Med. Biol. Eng. Comput.

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A new principle for cartilage layer thickness assessments in joints is presented. It is based on the differences between the absorption spectra of cartilage and subchondral bone (containing blood). High-resolution ultrasound measurements of cartilage thickness were compared with reflection spectroscopy data from the same area of bovine hip joint condyles. A simple mathematical model allowed calculation of thickness and comparison with ultrasound data. The cartilage thickness was changed by being ground in short episodes. For thicker cartilage layers, a high degree of reflection in the 400-600 nm wavelength interval was seen. For thinner cartilage layers, the characteristics of the spectra of blood and bone dominated those of cartilage. The mean (+/- SD) thickness of intact cartilage was 1.21 +/- 0.30 mm (n = 30). In an exponential regression model, spectroscopic estimation of cartilage thickness showed a correlation coefficient of r = 0.69 (n = 182). For thinner cartilage layers (d < 0.5 mm), the mean model error was 0.19 +/- 0.17 mm. Results from a bi-layer Monte Carlo simulation supported the assumption of an exponential relationship between spectroscopy data and reference ultrasound data. The conclusion is that optical reflection spectroscopy can be used for cartilage layer thickness assessment.

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Section: Discussionmentioning

confidence: 76%

Assessment of cartilage thickness utilising reflectance spectroscopy

Öberg

Sundqvist

Johansson

2004

Med. Biol. Eng. Comput.

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“…Comparison of data on cartilage thickness measurements with MRI with corresponding histological sections in the middle of each sector revealed a very good magnetic resonance/anatomic correlation ( r = 0.88) 59 .…”

Section: Resultsmentioning

confidence: 87%

Systematic review of the concurrent and predictive validity of MRI biomarkers in OA

Hunter

Zhang

Conaghan

et al. 2011

Osteoarthritis and Cartilage

179

150

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SUMMARY Objective To summarize literature on the concurrent and predictive validity of MRI-based measures of osteoarthritis (OA) structural change. Methods An online literature search was conducted of the OVID, EMBASE, CINAHL, PsychInfo and Cochrane databases of articles published up to the time of the search, April 2009. 1338 abstracts obtained with this search were preliminarily screened for relevance by two reviewers. Of these, 243 were selected for data extraction for this analysis on validity as well as separate reviews on discriminate validity and diagnostic performance. Of these 142 manuscripts included data pertinent to concurrent validity and 61 manuscripts for the predictive validity review. For this analysis we extracted data on criterion (concurrent and predictive) validity from both longitudinal and cross-sectional studies for all synovial joint tissues as it relates to MRI measurement in OA. Results Concurrent validity of MRI in OA has been examined compared to symptoms, radiography, histology/pathology, arthroscopy, CT, and alignment. The relation of bone marrow lesions, synovitis and effusion to pain was moderate to strong. There was a weak or no relation of cartilage morphology or meniscal tears to pain. The relation of cartilage morphology to radiographic OA and radiographic joint space was inconsistent. There was a higher frequency of meniscal tears, synovitis and other features in persons with radiographic OA. The relation of cartilage to other constructs including histology and arthroscopy was stronger. Predictive validity of MRI in OA has been examined for ability to predict total knee replacement (TKR), change in symptoms, radiographic progression as well as MRI progression. Quantitative cartilage volume change and presence of cartilage defects or bone marrow lesions are potential predictors of TKR. Conclusion MRI has inherent strengths and unique advantages in its ability to visualize multiple individual tissue pathologies relating to pain and also predict clinical outcome. The complex disease of OA which involves an array of tissue abnormalities is best imaged using this imaging tool.

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“…In the recent years, nanofiber nonwovens from electrospinning have been extensively studied . However, such scaffold is too thin that is prone to be a 2D dimension on a macroscale with small pores (<50 μm), whereas the thickness of articular cartilage varies from <500 μm to 7.1 mm and the favorable pore diameter diverse from 100 to 500 μm …”

Section: Introductionmentioning

confidence: 99%

Needle‐punched nonwoven matrix from regenerated collagen fiber for cartilage tissue engineering

Huang

et al. 2014

J of Applied Polymer Sci

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In this study, a new application of needle-punched three-dimensional (3D) fiber matrix from regenerated collagen fiber in articular cartilage tissue engineering (TE) was developed. Scanning electron microscopy images showed that the arrangement of fibers well mimicked the transitional part of the zonal articular cartilage. The 3D matrices exhibited a high porosity (93.5 6 2.3%) and a large pore size range from about 20 lm in the inner part to 200-300 lm on the surface. The interconnected pore structure and hydrophilicity of the fibers led to the rapid and desired water uptake capacity of the matrices. Although the tensile and compressive properties of the scaffold were slightly lower than those of the natural articular cartilage, the anisotropic and nonlinear tension-compression were highly similar. In vitro human bone marrow stromal cells proliferation and cell morphology revealed the well cytocompatibility of the matrix, indicating its great potential in articular cartilage TE.

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Measurement of cartilage thickness in the human knee-joint by magnetic resonance imaging using a three-dimensional gradient-echo sequence

Cited by 37 publications

References 19 publications

Assessment of cartilage thickness utilising reflectance spectroscopy

Assessment of cartilage thickness utilising reflectance spectroscopy

Systematic review of the concurrent and predictive validity of MRI biomarkers in OA

Needle‐punched nonwoven matrix from regenerated collagen fiber for cartilage tissue engineering

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