Establishing compositional MRI of cartilage as a biomarker for clinical practice

Link, Thomas M.; Li, X.

doi:10.1016/j.joca.2018.02.902

Cited by 18 publications

(18 citation statements)

References 18 publications

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“…In clinical

R_{1 ρ}

studies at 3T, however, the spin‐lock RF strength is usually limited to 0.5 kHz, which would translate into

R_{2} - R_{1 ρ} \approx

86%*

R_{2}^{a} (θ)

. On the other hand, the observed

R_{2} - R_{1 ρ}

could be erroneously increased due to different data acquisitions, where

R_{2}

derived from a multiecho pulse sequence tends to be more overestimated than

R_{1 ρ}

from a pulse sequence similar to 3D‐MAPSS . Consequently, the enhanced

R_{2} - R_{1 ρ}

could compensate for the loss due to a limited spin‐lock RF power, which might justify the comparable

R_{2}^{a} (θ)

and

R_{2} - R_{1 ρ}

observed for some subjects in the current study.…”

Section: Discussionmentioning

confidence: 99%

“…As an internal reference method, the developed ARCADE mapping should alleviate any systematic errors known for both

R_{2}

and

R_{1 ρ}

mappings due to different pulse sequence implementations on multiple platforms, making it easier to standardize

R_{2}^{a} (θ)

measurement in a multicenter trial and be integrated in clinical studies. This new method is independent of the pulse sequence implementation as long as the image pixel intensities are spin‐echo weighted, which is inherently insensitive to

B_{0}

inhomogeneity.…”

Section: Discussionmentioning

confidence: 99%

“…In conventional

R_{2}

mapping,

R_{2}^{a} (θ)

is not separated from its isotropic counterpart, potentially compromising the sensitivity and specificity of the measure.

R_{2}

and

R_{1 ρ}

are currently the most investigated relaxation metrics in clinical studies of knee cartilage degeneration, but the interpretation of

R_{2}

and

R_{1 ρ}

measurements in terms of observed structural protein changes is not straightforward . Most likely, neither

R_{2}

nor

R_{1 ρ}

has sufficient sensitivity to the underlying biochemical and physiological changes in cartilage.…”

Section: Introductionmentioning

confidence: 99%

“…In this work, we first show theoretically that the

R_{2}^{a} (θ)

of cartilage at 3T was partially and inefficiently separated in the reported composite relaxation metric . The prolonged image acquisition protocol and demanding pulse sequences standardization across different MR systems have prevented the reported method from being favorably accepted by the clinical community . Hence, an efficient method is proposed here to derive

R_{2}^{a} (θ)

based on a single T2W sagittal image, by eliminating an assumed constant isotropic

R_{2}

contribution derived from the magic angle locations in the deep cartilage.…”

Section: Introductionmentioning

confidence: 99%

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A unique anisotropic R₂ of collagen degeneration (ARCADE) mapping as an efficient alternative to composite relaxation metric (R₂‐R₁_ρ) in human knee cartilage study

Pang

Palmieri-Smith

Malyarenko

et al. 2019

Magnetic Resonance in Med

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Purpose Anisotropic transverse R2 (1/T2) relaxation of water proton is sensitive to cartilage degenerative changes. The purpose is to develop an efficient method to extract this relaxation metric in clinical studies. Methods Anisotropic R2 can be measured inefficiently by standard R2 mapping after removing an isotropic contribution obtained from R1ρ mapping. In the proposed method, named as a unique anisotropic R2 of collagen degeneration (ARCADE) mapping, an assumed uniform isotropic R2 was estimated at magic angle locations in the deep cartilage, and an anisotropic R2 was thus isolated in a single T2W sagittal image. Five human knees from 4 volunteers were studied with standard R2 and R1ρ mappings at 3T, and anisotropic R2 derived from ARCADE on the T2W (TE = 48.8 ms) image from R2 mapping was compared with the composite relaxation (R2 – R1ρ) using statistical analysis including Student's t‐test and Pearson’s correlation coefficient. Results Anisotropic R2 (1/s) from ARCADE was highly positively correlated with but not significantly different from standard R2 – R1ρ (1/s) in the segmented deep (r = 0.83 ± 0.06; 8.3 ± 2.9 vs. 7.3 ± 1.9, P = .50) and the superficial (r = 0.82 ± 0.05; 3.5 ± 2.4 vs. 4.5 ± 1.6, P = .39) zones. However, after eliminating systematic errors by the normalization in terms of zonal contrast, anisotropic R2 was significantly higher (60.2 ± 18.5% vs. 38.4 ± 16.6%, P < .01) than R2 – R1ρ as predicted. Conclusion The proposed anisotropic R2 mapping could be an efficient alternative to the conventional approach, holding great promise in providing both high‐resolution morphological and more sensitive transverse relaxation imaging from a single T2W scan in a clinical setting.

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“…In clinical

R_{1 ρ}

studies at 3T, however, the spin‐lock RF strength is usually limited to 0.5 kHz, which would translate into

R_{2} - R_{1 ρ} \approx

86%*

R_{2}^{a} (θ)

. On the other hand, the observed

R_{2} - R_{1 ρ}

could be erroneously increased due to different data acquisitions, where

R_{2}

derived from a multiecho pulse sequence tends to be more overestimated than

R_{1 ρ}

from a pulse sequence similar to 3D‐MAPSS . Consequently, the enhanced

R_{2} - R_{1 ρ}

could compensate for the loss due to a limited spin‐lock RF power, which might justify the comparable

R_{2}^{a} (θ)

and

R_{2} - R_{1 ρ}

observed for some subjects in the current study.…”

Section: Discussionmentioning

confidence: 99%

“…As an internal reference method, the developed ARCADE mapping should alleviate any systematic errors known for both

R_{2}

and

R_{1 ρ}

mappings due to different pulse sequence implementations on multiple platforms, making it easier to standardize

R_{2}^{a} (θ)

B_{0}

inhomogeneity.…”

Section: Discussionmentioning

confidence: 99%

“…In conventional

R_{2}

mapping,

R_{2}^{a} (θ)

is not separated from its isotropic counterpart, potentially compromising the sensitivity and specificity of the measure.

R_{2}

and

R_{1 ρ}

are currently the most investigated relaxation metrics in clinical studies of knee cartilage degeneration, but the interpretation of

R_{2}

and

R_{1 ρ}

measurements in terms of observed structural protein changes is not straightforward . Most likely, neither

R_{2}

nor

R_{1 ρ}

has sufficient sensitivity to the underlying biochemical and physiological changes in cartilage.…”

Section: Introductionmentioning

confidence: 99%

“…In this work, we first show theoretically that the

R_{2}^{a} (θ)

R_{2}^{a} (θ)

based on a single T2W sagittal image, by eliminating an assumed constant isotropic

R_{2}

contribution derived from the magic angle locations in the deep cartilage.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A unique anisotropic R₂ of collagen degeneration (ARCADE) mapping as an efficient alternative to composite relaxation metric (R₂‐R₁_ρ) in human knee cartilage study

Pang

Palmieri-Smith

Malyarenko

et al. 2019

Magnetic Resonance in Med

View full text Add to dashboard Cite

show abstract

“…For osteoarthritis (OA), a recent meta‐analysis validated the reliability (compiling 58 studies) and discriminative ability (compiling 26 studies) of cartilage compositional MRI mapping in the knee, where T 2 and T 1ρ relaxometry demonstrated discrimination validity in mild OA. This can help us to detect the early stages of OA …”

mentioning

confidence: 99%

Rapid compositional mapping of knee cartilage with compressed sensing MRI

Zibetti

Baboli

Chang

et al. 2018

Magnetic Resonance Imaging

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More than one decade after the introduction of compressed sensing (CS) in MRI, researchers are still working on ways to translate it into different research and clinical applications. The greatest advantage of CS in MRI is the reduced amount of k-space data needed to reconstruct images, which can be exploited to reduce scan time or to improve spatial resolution and volumetric coverage. Efficient data acquisition using CS is extremely important for compositional mapping of the musculoskeletal system in general and knee cartilage mapping techniques in particular. High-resolution quantitative information about tissue biochemical composition could be obtained in just a few minutes using CS MRI. However, in order to make this goal a reality, some issues still need to be addressed. In this paper, we review the current state of the art of CS methods for rapid compositional mapping of knee cartilage. Specifically, data acquisition strategies, image reconstruction algorithms, and data fitting models are discussed. Different CS studies for T2 and T1ρ mapping of knee cartilage are reviewed, with illustrative results. Future directions, opportunities, and challenges of rapid compositional mapping techniques are also discussed.

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An efficient R_1ρ dispersion imaging method for human knee cartilage using constant magnetization prepared turbo‐FLASH

2021

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This work aimed to develop an efficient R 1ρ dispersion imaging method for clinical studies of human knee cartilage at 3 T. Eight constant magnetizations (M prep ) were prepared by tailoring both the duration and amplitude (ω 1 ) of a fully refocused spinlock preparation pulse. The limited M prep dynamic range was expanded by the measure, equivalent to that with ω 1 = ∞, from the magic angle location in the deep femoral cartilage. The developed protocol with M prep = 60% was demonstrated on one subject's bilateral and two subjects' unilateral asymptomatic knees. The repeatability of the proposed protocol was estimated by two repeated scans with a three-month gap for the last two subjects. The synthetic R 1ρ and R 2 derived from R 1ρ dispersions were compared with the published references using state-of-the-art R 1ρ and R 2 mapping (MAPSS). The proposed protocol demonstrated good (<5%) repeatability quantified by the intra-and intersubject coefficients of variation in the femoral and tibial cartilage. The synthetic R 1ρ (1/s) and the references were comparable in the femoral

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Establishing compositional MRI of cartilage as a biomarker for clinical practice

Cited by 18 publications

References 18 publications

A unique anisotropic R₂ of collagen degeneration (ARCADE) mapping as an efficient alternative to composite relaxation metric (R₂‐R₁_ρ) in human knee cartilage study

A unique anisotropic R₂ of collagen degeneration (ARCADE) mapping as an efficient alternative to composite relaxation metric (R₂‐R₁_ρ) in human knee cartilage study

Rapid compositional mapping of knee cartilage with compressed sensing MRI

An efficient R_1ρ dispersion imaging method for human knee cartilage using constant magnetization prepared turbo‐FLASH

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Establishing compositional MRI of cartilage as a biomarker for clinical practice

Cited by 18 publications

References 18 publications

A unique anisotropic R2 of collagen degeneration (ARCADE) mapping as an efficient alternative to composite relaxation metric (R2‐R1ρ) in human knee cartilage study

A unique anisotropic R2 of collagen degeneration (ARCADE) mapping as an efficient alternative to composite relaxation metric (R2‐R1ρ) in human knee cartilage study

Rapid compositional mapping of knee cartilage with compressed sensing MRI

An efficient R1ρ dispersion imaging method for human knee cartilage using constant magnetization prepared turbo‐FLASH

Contact Info

Product

Resources

About

A unique anisotropic R₂ of collagen degeneration (ARCADE) mapping as an efficient alternative to composite relaxation metric (R₂‐R₁_ρ) in human knee cartilage study

A unique anisotropic R₂ of collagen degeneration (ARCADE) mapping as an efficient alternative to composite relaxation metric (R₂‐R₁_ρ) in human knee cartilage study

An efficient R_1ρ dispersion imaging method for human knee cartilage using constant magnetization prepared turbo‐FLASH