Detection of osteoarthritis in knee and hip joints by fast field‐cycling NMR

Broche, Lionel; Ashcroft, G. W.; Lurie, David John

doi:10.1002/mrm.23266

Cited by 49 publications

(48 citation statements)

References 23 publications

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“…In these studies, a proportionality between the Q‐peak area and the protein concentration was confirmed. Recently, this finding was efficiently exploited for an early‐stage detection of osteoarthritis in articular cartilage ex vivo , of which initialization is associated with a depletion of glycosaminoglycan from the tissue extracellular matrix. In dry‐cured hams, water molecules are depleted from the tissue, which affects the water/protein content.…”

Section: Discussionmentioning

confidence: 99%

Dry‐cured ham tissue characterization by fast field cycling NMR relaxometry and quantitative magnetization transfer

Bajd

Gradišek

Apih

et al. 2016

Magnetic Reson in Chemistry

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Fast field cycling (FFC) and quantitative magnetization transfer (qMT) NMR methods are two powerful tools in NMR analysis of biological tissues. The qMT method is well established in biomedical NMR applications, while the FFC method is often used in investigations of molecular dynamics on which longitudinal NMR relaxation times of the investigated material critically depend. Despite their proven analytical potential, these two methods were rarely used in NMR studies of food, especially when combined together. In our study, we demonstrate the feasibility of a combined FFC/qMT-NMR approach for the fast and nondestructive characterization of dry-curing ham tissues differing by protein content. The characterization is based on quantifying the pure quadrupolar peak area (area under the quadrupolar contribution of dispersion curve obtained by FFC-NMR) and the restricted magnetization pool size (obtained by qMT-NMR). Both quantities correlate well with concentration of partially immobilized, nitrogen-containing and proton magnetization exchanging muscle proteins. Therefore, these two quantities could serve as potential markers for dry-curing process monitoring. Copyright © 2016 John Wiley & Sons, Ltd.

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Section: Discussionmentioning

confidence: 99%

Dry‐cured ham tissue characterization by fast field cycling NMR relaxometry and quantitative magnetization transfer

Bajd

Gradišek

Apih

et al. 2016

Magnetic Reson in Chemistry

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“…The FFC technique is not uniquely suitable for such a type of research; one can envisage T 1 distribution measurements performed on a low‐field MRI scanner equipped with a permanent magnet. The advantage of the FFC relaxometry over the steady‐field relaxometry is that it introduces through varying B 0 the second dimension that can be exploited in a complementary way or in its own right to monitor the OA‐induced changes in cartilage . Thus, attempts were made to analyze quasi‐continuous T 1 dispersion profiles before and after trypsin digestion in terms of elementary Bloembergen‐Purcell‐Pound–type relaxation processes with individual correlation times.…”

Section: Discussionmentioning

confidence: 99%

“…The MRI techniques developed for early diagnosis of OA exploit spatially resolved measurements of T 1 , T 2 , and T 1ρ as potential biomarkers, thanks to their correlation with the composition and structure of AC . In addition to the MRI mapping of T 1 and T 2 , fast field‐cycling (FFC) NMR relaxometry has recently been used in the attempt to correlate the biological state of AC cartilage with T 1 dispersion . The FFC experiments were carried out in the magnetic fields B 0 = 0.2 mT to 470 mT, which span quadrupolar relaxation enhancement (QRE) peaks.…”

Section: Introductionmentioning

confidence: 89%

Multicomponent analysis of T₁ relaxation in bovine articular cartilage at low magnetic fields

Petrov

Stapf

2018

Magnetic Resonance in Med

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Purpose The multi‐exponential character of T 1 relaxation in bovine articular cartilage was investigated at low magnetic fields below 0.5 T. The ultimate aim was to identify a parameter based on the T 1 relaxation time distribution as a biomarker to biochemical features of osteoarthritis. Methods Osteoarthritis conditions were simulated by enzymatic digestion of cartilage with trypsin. Fast‐field cycling NMR relaxometry was carried out in the magnetic field range B 0 = 70 μT to 600 mT. The data were analyzed in terms of T 1 distributions on a log‐time scale using inverse Laplace transform, whereas integral properties such as mean T 1 s and distribution widths were obtained without data inversion from logarithmic moment analysis and a stretched‐exponential fit to the data. Attempts were also made to differentiate between water dynamic components through multi‐Lorentzian decomposition of average relaxation‐rate dispersions. Results T 1 distribution in bovine articular cartilage was found to be bimodal, with the dominating, long component shifting toward larger values following trypsin digestion. The effect is more prominent toward lower magnetic field strength. This shift leads to an overall increase of the distribution width and an equivalently more pronounced deviation from exponential behavior. Conclusion The logarithmic width of T 1 distribution functions at fields of 0.5 T and below, and the stretched‐exponential decay fit exponent β , show a significant trend after trypsin digestion of cartilage. These 2 parameters are suggested as possible biomarkers for osteoarthritis in humans and can be acquired entirely in vivo, with increasing significance for lower magnetic field strengths.

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“…FFC‐MR relaxometry is an approach to directly measure NMR relaxation properties . FFC‐MRI combines the techniques of field‐cycling nuclear MR relaxometry with the imaging methods of MRI, offering access to biological information not available from conventional imaging at a fixed field strength .…”

Section: Introductionmentioning

confidence: 99%

Nuclear magnetic relaxation dispersion of murine tissue for development of T₁ (R₁) dispersion contrast imaging

Araya

Martinez-Santiesteban

Handler

et al. 2017

NMR in Biomedicine

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This study quantified the spin-lattice relaxation rate (R 1 ) dispersion of murine tissues from 0.24 mT to 3 T. A combination of ex vivo and in vivo spin-lattice relaxation rate measurements were acquired for murine tissue. Selected brain, liver, kidney, muscle, and fat tissues were excised and R 1 dispersion profiles were acquired from 0.24 mT to 1.0 T at 37°C, using a fast field-cycling MR (FFC-MR) relaxometer. In vivo R 1 dispersion profiles of mice were acquired from 1.26 T to 1.74 T at 37°C, using FFC-MRI on a 1.5 T scanner outfitted with a field-cycling insert electromagnet to dynamically control B 0 prior to imaging. Images at five field strengths (1.26, 1.39, 1.5, 1.61, 1.74 T) were acquired using a field-cycling pulse sequence, where B 0 was modulated for varying relaxation durations prior to imaging. R 1 maps and R 1 dispersion (ΔR 1 /ΔB 0 ) were calculated at 1.5 T on a pixel-by-pixel basis. In addition, in vivo R 1 maps of mice were acquired at 3 T. At fields less than 1 T, a large R 1 magnetic field dependence was observed for tissues. ROI analysis of the tissues showed little relaxation dispersion for magnetic fields from 1.26 T to 3 T. Our tissue measurements show strong R 1 dispersion at field strengths less than 1 T and limited R 1 dispersion at field strengths greater than 1 T. These findings emphasize the inherent weak R 1 magnetic field dependence of healthy tissues at clinical field strengths. This characteristic of tissues can be exploited by a combination of FFC-MRI and T 1 contrast agents that exhibit strong relaxivity magnetic field dependences (inherent or by binding to a protein), thereby increasing the agents' specificity and sensitivity. This development can provide potential insights into protein-based biomarkers using FFC-MRI to assess early changes in tumour development, which are not easily measureable with conventional MRI. MRI has a history of constant technical progress towards higher magnetic field strengths for imaging. 1 The progressive increases in magnetic field strength have been spurred by significant gains in the signal-to-noise ratio (SNR), and spectral and spatial resolution exploited in imaging of anatomy and brain function. [2][3][4][5] While high and ultra-high magnetic field strengths are attractive for producing exquisite images of internal structures with unprecedented detail that aid in tissue characterization, imaging at these magnetic field strengths results in very little difference in the relaxation times of different tissues, thereby losing the variability of an important intrinsic tissue property that leads to image contrast. 6,7 Differences in Abbreviations used: B P , polarization magnetic field; B R , relaxation magnetic field; dreMR, delta relaxation enhanced MR; FFC-MR, fast field-cycling MR; FFC-MRI, fast field-cycling MRI; FID, free induction decay; FSE, fast spin-echo; NMRD, nuclear magnetic relaxation dispersion; NP, non-polarized; PP, pre-polarized; ROI, region of interest; SNR, signal-to-noise ratio

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Detection of osteoarthritis in knee and hip joints by fast field‐cycling NMR

Cited by 49 publications

References 23 publications

Dry‐cured ham tissue characterization by fast field cycling NMR relaxometry and quantitative magnetization transfer

Dry‐cured ham tissue characterization by fast field cycling NMR relaxometry and quantitative magnetization transfer

Multicomponent analysis of T₁ relaxation in bovine articular cartilage at low magnetic fields

Nuclear magnetic relaxation dispersion of murine tissue for development of T₁ (R₁) dispersion contrast imaging

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Detection of osteoarthritis in knee and hip joints by fast field‐cycling NMR

Cited by 49 publications

References 23 publications

Dry‐cured ham tissue characterization by fast field cycling NMR relaxometry and quantitative magnetization transfer

Dry‐cured ham tissue characterization by fast field cycling NMR relaxometry and quantitative magnetization transfer

Multicomponent analysis of T1 relaxation in bovine articular cartilage at low magnetic fields

Nuclear magnetic relaxation dispersion of murine tissue for development of T1 (R1) dispersion contrast imaging

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Multicomponent analysis of T₁ relaxation in bovine articular cartilage at low magnetic fields

Nuclear magnetic relaxation dispersion of murine tissue for development of T₁ (R₁) dispersion contrast imaging