A physical phantom for amine chemical exchange saturation transfer (CEST) MRI

Yao, Jingwen; Wang, Chencai; Raymond, Catalina; Bergstrom, Blake; Chen, Xing; Das, Kaveri; Dinh, Huy Q.; Kim, Zoe S; Le, Angela; Lim, Matthew W J; Pham, Jane A N; Prusan, Joseph D; Rao, Sriram; Nathanson, David; Ellingson, Benjamin M.

doi:10.1007/s10334-020-00902-z

Cited by 3 publications

(5 citation statements)

References 28 publications

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“…Perlman et al 76 have made the raw and analyzed AutoCEST data publicly available 97 . For comparison and validation of CEST acquisition and processing techniques across scanners and sites, Yao et al 98 have designed a physical phantom, validated its temporal stability, and made the computer automated design (CAD) files for creating the physical phantom available online. To improve the ability to reproduce acquisition protocol across different sites and vendors, Herz et al 94 have developed a CEST definition standard using an open format, which allows a complete description and reproduction of the acquisition schedule used in previous CEST‐based literature including MRF 15,59,61 .…”

Section: Semisolid Mt/cest Mrfmentioning

confidence: 99%

MR fingerprinting for semisolid magnetization transfer and chemical exchange saturation transfer quantification

2022

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Chemical exchange saturation transfer (CEST) MRI has positioned itself as a promising contrast mechanism, capable of providing molecular information at sufficient resolution and amplified sensitivity. However, it has not yet become a routinely employed clinical technique, due to a variety of confounding factors affecting its contrast-weighted image interpretation and the inherently long scan time. CEST MR fingerprinting (MRF) is a novel approach for addressing these challenges, allowing simultaneous quantitation of several proton exchange parameters using rapid acquisition schemes. Recently, a number of deep-learning algorithms have been developed to further boost the performance and speed of CEST and semi-solid macromolecule magnetization transfer (MT) MRF. This review article describes the fundamental theory behind semisolid MT/CEST-MRF and its main applications. It then details supervised and unsupervised learning approaches for MRF image reconstruction and describes artificial intelligence (AI)-based pipelines for protocol optimization. Finally, practical considerations are discussed, and future perspectives are given, accompanied by basic demonstration code and data.

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Section: Semisolid Mt/cest Mrfmentioning

confidence: 99%

MR fingerprinting for semisolid magnetization transfer and chemical exchange saturation transfer quantification

2022

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“…106 Another important step would be development of a standard CEST phantom, with the corresponding library of CEST effects and detailed record of experimental conditions under which it was measured. 107 Similarly, there is substantial variation in post-processing methods. For example, some novel methods employ solutions such as multi-pool fitting and correction for relaxation, making difficult to compare results with those of more basic MTR asymmetry analyses.…”

Section: Future Directionsmentioning

confidence: 99%

“…Recently, a unified library of RF saturation pulses was created to serve as a standard library for different vendors and research sites working on CEST development 106 . Another important step would be development of a standard CEST phantom, with the corresponding library of CEST effects and detailed record of experimental conditions under which it was measured 107 . Similarly, there is substantial variation in post‐processing methods.…”

Section: Future Directionsmentioning

confidence: 99%

CEST‐MRI for body oncologic imaging: are we there yet?

et al. 2023

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Chemical exchange saturation transfer (CEST) MRI has gained recognition as a valuable addition to the molecular imaging and quantitative biomarker arsenal, especially for characterization of brain tumors. There is also increasing interest in the use of CEST‐MRI for applications beyond the brain. However, its translation to body oncology applications lags behind those in neuro‐oncology. The slower migration of CEST‐MRI to non‐neurologic applications reflects the technical challenges inherent to imaging of the torso. In this review, we discuss the application of CEST‐MRI to oncologic conditions of the breast and torso (i.e., body imaging), emphasizing the challenges and potential solutions to address them. While data are still limited, reported studies suggest that CEST signal is associated with important histology markers such as tumor grade, receptor status, and proliferation index, some of which are often associated with prognosis and response to therapy. However, further technical development is still needed to make CEST a reliable clinical application for body imaging and establish its role as a predictive and prognostic biomarker.

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“…Together, this suggests that alterations in the tumor microenvi- recently developed a physical phantom using glycine that can contribute to improve the standardization of amine-weighted CEST acquisition and processing across scanners and institutions. 91 Even although intra-scanner repeatability of amine-weighted CEST seems to be reasonable, 91,92 inter-scanner or across center reproducibility of amine-weighted CEST has not been thoroughly investigated, but it is assumed to have potential variability from differing B 0 and B 1 inhomogeneities and differences in radiofrequency architecture. While not explicitly examined for amineweighted CEST, some CEST contrast appears to vary by tumor location, including hemispheric location and contact with the subventricular zone, perhaps related more to tumor biology than potential spatial variance of the CEST signal.…”

Section: Response To Immunotherapymentioning

confidence: 99%

“…Scanning parameters along with B 0 and B 1 inhomogeneities are known to influence the amine‐weighted CEST signal 40,89,90 . Yao et al recently developed a physical phantom using glycine that can contribute to improve the standardization of amine‐weighted CEST acquisition and processing across scanners and institutions 91 . Even although intra‐scanner repeatability of amine‐weighted CEST seems to be reasonable, 91,92 inter‐scanner or across center reproducibility of amine‐weighted CEST has not been thoroughly investigated, but it is assumed to have potential variability from differing B 0 and B 1 inhomogeneities and differences in radiofrequency architecture.…”

Section: Limitations and Future Directionsmentioning

confidence: 99%

Amine‐weighted chemical exchange saturation transfer magnetic resonance imaging in brain tumors

et al. 2022

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Amine‐weighted chemical exchange saturation transfer (CEST) magnetic resonance imaging (MRI) is particularly valuable as an amine‐ and pH‐sensitive imaging technique in brain tumors, targeting the intrinsically high concentration of amino acids with exchangeable amine protons and reduced extracellular pH in brain tumors. Amine‐weighted CEST MRI contrast is dependent on the glioma genotype, likely related to differences in degree of malignancy and metabolic behavior. Amine‐weighted CEST MRI may provide complementary value to anatomic imaging in conventional and exploratory therapies in brain tumors, including chemoradiation, antiangiogenic therapies, and immunotherapies. Continual improvement and clinical testing of amine‐weighted CEST MRI has the potential to greatly impact patients with brain tumors by understanding vulnerabilities in the tumor microenvironment that may be therapeutically exploited.

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A physical phantom for amine chemical exchange saturation transfer (CEST) MRI

Cited by 3 publications

References 28 publications

MR fingerprinting for semisolid magnetization transfer and chemical exchange saturation transfer quantification

MR fingerprinting for semisolid magnetization transfer and chemical exchange saturation transfer quantification

CEST‐MRI for body oncologic imaging: are we there yet?

Amine‐weighted chemical exchange saturation transfer magnetic resonance imaging in brain tumors

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