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Literature DB >> 26024307

Articular Cartilage of the Human Knee Joint: In Vivo Multicomponent T2 Analysis at 3.0 T.

Fang Liu¹, Kwang Won Choi¹, Alexey Samsonov¹, Richard G Spencer¹, John J Wilson¹, Walter F Block¹, Richard Kijowski¹.

Abstract

PURPOSE: To compare multicomponent T2 parameters of the articular cartilage of the knee joint measured by using multicomponent driven equilibrium single-shot observation of T1 and T2 (mcDESPOT) in asymptomatic volunteers and patients with osteoarthritis.
MATERIALS AND METHODS: This prospective study was performed with institutional review board approval and with written informed consent from all subjects. The mcDESPOT sequence was performed in the knee joint of 13 asymptomatic volunteers and 14 patients with osteoarthritis of the knee. Single-component T2 (T2(Single)), T2 of the fast-relaxing water component (T2F) and of the slow-relaxing water component (T2S), and the fraction of the fast-relaxing water component (F(F)) of cartilage were measured. Wilcoxon rank-sum tests and multivariate linear regression models were used to compare mcDESPOT parameters between volunteers and patients with osteoarthritis. Receiver operating characteristic analysis was used to assess diagnostic performance with mcDESPOT parameters for distinguishing morphologically normal cartilage from morphologically degenerative cartilage identified at magnetic resonance imaging in eight cartilage subsections of the knee joint.
RESULTS: Higher cartilage T2(Single) (P < .001), lower cartilage F(F) (P < .001), and similar cartilage T2F (P = .079) and T2S (P = .124) values were seen in patients with osteoarthritis compared with those in asymptomatic volunteers. Differences in T2(Single) and F(F) remained significant (P < .05) after consideration of age differences between groups of subjects. Diagnostic performance was higher with F(F) than with T2(Single) for distinguishing between normal and degenerative cartilage (P < .05), with greater areas under the curve at receiver operating characteristic analysis.
CONCLUSION: Patients with osteoarthritis of the knee had significantly higher cartilage T2(Single) and significantly lower cartilage F(F) than did asymptomatic volunteers, and receiver operating characteristic analysis results suggested that F(F) may allow greater diagnostic performance than that with T2(Single) for distinguishing between normal and degenerative cartilage. © RSNA, 2015

Entities: Chemical Disease Gene Species

Mesh：

Year: 2015 PMID： 26024307 PMCID： PMC4627437 DOI： 10.1148/radiol.2015142201

Source DB: PubMed Journal: Radiology ISSN： 0033-8419 Impact factor: 11.105

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2. Multicomponent T2* mapping of knee cartilage: technical feasibility ex vivo.

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3. Correction of main and transmit magnetic field (B0 and B1) inhomogeneity effects in multicomponent-driven equilibrium single-pulse observation of T1 and T2.

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4. Quantitative MRI using T1ρ and T2 in human osteoarthritic cartilage specimens: correlation with biochemical measurements and histology.

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5. Improved specificity of cartilage matrix evaluation using multiexponential transverse relaxation analysis applied to pathomimetically degraded cartilage.

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6. Dependencies of multi-component T2 and T1ρ relaxation on the anisotropy of collagen fibrils in bovine nasal cartilage.

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7. T1ρ and T2 mapping reveal the in vivo extracellular matrix of articular cartilage.

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8. Functional cartilage MRI T2 mapping: evaluating the effect of age and training on knee cartilage response to running.

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9. On the measurement of multi-component T2 relaxation in cartilage by MR spectroscopy and imaging.

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10. Quantitative T2 mapping of the patella at 3.0T is sensitive to early cartilage degeneration, but also to loading of the knee.

Authors: S Apprich; T C Mamisch; G H Welsch; D Stelzeneder; C Albers; U Totzke; S Trattnig
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2. Clinical high-resolution mapping of the proteoglycan-bound water fraction in articular cartilage of the human knee joint.

Authors: Mustapha Bouhrara; David A Reiter; Kyle W Sexton; Christopher M Bergeron; Linda M Zukley; Richard G Spencer
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Articular Cartilage of the Human Knee Joint: In Vivo Multicomponent T2 Analysis at 3.0 T.

1. Mapping proteoglycan-bound water in cartilage: Improved specificity of matrix assessment using multiexponential transverse relaxation analysis.

2. Multicomponent T2* mapping of knee cartilage: technical feasibility ex vivo.

3. Correction of main and transmit magnetic field (B0 and B1) inhomogeneity effects in multicomponent-driven equilibrium single-pulse observation of T1 and T2.

4. Quantitative MRI using T1ρ and T2 in human osteoarthritic cartilage specimens: correlation with biochemical measurements and histology.

5. Improved specificity of cartilage matrix evaluation using multiexponential transverse relaxation analysis applied to pathomimetically degraded cartilage.

6. Dependencies of multi-component T2 and T1ρ relaxation on the anisotropy of collagen fibrils in bovine nasal cartilage.

7. T1ρ and T2 mapping reveal the in vivo extracellular matrix of articular cartilage.

8. Functional cartilage MRI T2 mapping: evaluating the effect of age and training on knee cartilage response to running.

9. On the measurement of multi-component T2 relaxation in cartilage by MR spectroscopy and imaging.

10. Quantitative T2 mapping of the patella at 3.0T is sensitive to early cartilage degeneration, but also to loading of the knee.

1. Fast multicomponent 3D-T_1ρ relaxometry.

2. Clinical high-resolution mapping of the proteoglycan-bound water fraction in articular cartilage of the human knee joint.

3. Biexponential T₂ relaxation estimation of human knee cartilage in vivo at 3T.

4. Deep convolutional neural network for segmentation of knee joint anatomy.

5. Capturing fast relaxing spins with SWIFT adiabatic rotating frame spin-lattice relaxation (T1ρ) mapping.

6. Maturation-Related Changes in T2 Relaxation Times of Cartilage and Meniscus of the Pediatric Knee Joint at 3 T.

7. Bi-component T2 mapping correlates with articular cartilage material properties.

Review 8. Rapid MR relaxometry using deep learning: An overview of current techniques and emerging trends.

Review 9. MR Parametric Mapping as a Biomarker of Early Joint Degeneration.

10. A forgotten retained drain inside a knee for 10 years: A case report.