Publications by authors named "Yaewon Kim"

Hyperpolarized carbon-13 (HP-C) MRI enables the real-time measurement of dynamic metabolism by utilizing molecular probes whose magnetization has been transiently enhanced via dynamic nuclear polarization of C labels. Based on pre-clinical and clinical investigations demonstrating Warburg-related metabolic dysfunction and tricarboxylic acid (TCA)-cycle alterations in gliomas, HPC techniques appear very promising for overcoming conventional challenges to evaluating tumor burden and extent, early therapeutic response and progression among patients non-invasively. This article surveys the multi-faceted translational development of HP-C MRI in the context of glioma imaging, while emphasizing innovation concerning the pharmacy production of HP probes - [1-C]/[2-C]-pyruvate and [1-C,5-C]-alpha-ketoglutarate - that serve as non-radioactive metabolic contrast agents.

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Purpose: Accurate quantification of metabolism in hyperpolarized (HP) C MRI is essential for clinical applications. However, kinetic model parameters are often confounded by uncertainties in radiofrequency flip angles and other model parameters.

Methods: A data-driven kinetic fitting approach for HP C-pyruvate MRI was proposed that compensates for uncertainties in the B field.

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Fitting rate constants to Hyperpolarized [1-C]Pyruvate (HP C13) MRI data is a promising approach for quantifying metabolism in vivo. Current methods typically fit each voxel of the dataset using a least-squares objective. With these methods, each voxel is considered independently, and the spatial relationships are not considered during fitting.

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Hypoxic-ischemic encephalopathy (HIE) is a common neurological syndrome in newborns with high mortality and morbidity. Therapeutic hypothermia (TH), which is standard of care for HIE, mitigates brain injury by suppressing anaerobic metabolism. However, more than 40% of HIE neonates have a poor outcome, even after TH.

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This study aimed to implement a multimodal H/HP-C imaging protocol to augment the serial monitoring of patients with glioma, while simultaneously pursuing methods for improving the robustness of HP-C metabolic data. A total of 100 H/HP [1-C]-pyruvate MR examinations (104 HP-C datasets) were acquired from 42 patients according to the comprehensive multimodal glioma imaging protocol. Serial data coverage, accuracy of frequency reference, and acquisition delay were evaluated using a mixed-effects model to account for multiple exams per patient.

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Purpose: Improving the quality and maintaining the fidelity of large coverage abdominal hyperpolarized (HP) C MRI studies with a patch based global-local higher-order singular value decomposition (GL-HOVSD) spatiotemporal denoising approach.

Methods: Denoising performance was first evaluated using the simulated [1- C]pyruvate dynamics at different noise levels to determine optimal k and k parameters. The GL-HOSVD spatiotemporal denoising method with the optimized parameters was then applied to two HP [1- C]pyruvate EPI abdominal human cohorts (n = 7 healthy volunteers and n = 8 pancreatic cancer patients).

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Purpose: Nonalcoholic fatty liver disease is an important cause of chronic liver disease. There are limited methods for monitoring metabolic changes during progression to steatohepatitis. Hyperpolarized C MRSI (HP C MRSI) was used to measure metabolic changes in a rodent model of fatty liver disease.

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Background: Mutant isocitrate dehydrogenase (IDHmut) catalyzes 2-hydroxyglutarate (2HG) production and is considered a therapeutic target for IDHmut tumors. However, response is mostly associated with inhibition of tumor growth. Response assessment via anatomic imaging is therefore challenging.

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The sensitivity of NMR may be enhanced by more than four orders of magnitude dissolution dynamic nuclear polarization (dDNP), potentially allowing real-time, analysis of chemical reactions. However, there has been no widespread use of the technique for this application and the major limitation has been the low experimental throughput caused by the time-consuming polarization build-up process at cryogenic temperatures and fast decay of the hyper-intense signal post dissolution. To overcome this limitation, we have developed a microfluidic device compatible with dDNP-MR spectroscopic imaging methods for detection of reactants and products in chemical reactions in which up to 8 reactions can be measured simultaneously using a single dDNP sample.

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Solid tumors such as prostate cancer (PCa) commonly develop an acidic microenvironment with pH 6.5-7.2, owing to heterogeneous perfusion, high metabolic activity, and rapid cell proliferation.

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Article Synopsis
  • The study aimed to explore high-resolution MRI using hyperpolarized carbon-13 pyruvate for measuring blood flow in the human brain.
  • Researchers used a special imaging technique to gather data from five healthy volunteers and compared new perfusion measurements from pyruvate MRI with those from traditional arterial spin labeling (ASL).
  • Results showed a significant positive correlation between pyruvate and ASL measurements, suggesting that hyperpolarized pyruvate MRI can effectively evaluate brain metabolism and blood flow simultaneously.
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Article Synopsis
  • Researchers utilized Hyperpolarized C Magnetic Resonance Imaging (MRI) for the first time to investigate the uptake and metabolism of [2-C]pyruvate in the human brain, aiming to reveal new insights into cerebral energy metabolism.
  • The process involved injecting HP [2-C]pyruvate into five healthy volunteers and capturing dynamic brain images using a specialized imaging technique that provided whole brain coverage in just one minute.
  • The study quantified metabolic ratios and conversion rates between pyruvate and its metabolites, lactate and glutamate, to simultaneously analyze both glycolytic and oxidative metabolism from a single injection.
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Background: Dynamic hyperpolarized (HP)-C MRI has enabled real-time, non-invasive assessment of Warburg-related metabolic dysregulation in glioma using a [1-C]pyruvate tracer that undergoes conversion to [1-C]lactate and [C]bicarbonate. Using a multi-parametric H/HP-C imaging approach, we investigated dynamic and steady-state metabolism, together with physiological parameters, in high-grade gliomas to characterize active tumor.

Methods: Multi-parametric H/HP-C MRI data were acquired from fifteen patients with progressive/treatment-naïve glioblastoma [prog/TN GBM, IDH-wildtype (n = 11)], progressive astrocytoma, IDH-mutant, grade 4 (G4A, n = 2) and GBM manifesting treatment effects (n = 2).

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Purpose: X-nuclei (also called non-proton MRI) MRI and spectroscopy are limited by the intrinsic low SNR as compared to conventional proton imaging. Clinical translation of x-nuclei examination warrants the need of a robust and versatile tool improving image quality for diagnostic use. In this work, we compare a novel denoising method with fewer inputs to the current state-of-the-art denoising method.

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Article Synopsis
  • * The researchers tested two advanced denoising methods - tensor rank truncation-image enhancement (TRI) and global-local HOSVD (GL-HOSVD) - to enhance the clarity and reliability of MRI data by boosting the signal-to-noise ratio (SNR).
  • * Results showed that both methods significantly improved SNR; GL-HOSVD yielded a 4-5 fold increase in SNR and reduced modeling errors for metabolite conversion rates, allowing for more reliable
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Article Synopsis
  • The study aimed to explore a new method using hyperpolarized C pyruvate MRI to measure the conversion rates of different metabolites in the human brain.
  • Researchers conducted experiments with 6 subjects, using two different resolutions to analyze pyruvate, lactate, and bicarbonate, and generated quantitative maps for conversion rates.
  • Findings indicated that higher-resolution imaging significantly enhanced the clarity of brain structures and provided more accurate kinetic rates by reducing interference from blood vessels, particularly in areas near major veins and arteries.
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Background: Peptidylarginine deiminase 2 (PAD2) mediates the post-translational conversion of arginine residues in proteins to citrullines and is highly expressed in the central nervous system (CNS). Dysregulated PAD2 activity has been implicated in the pathogenesis of several neurologic diseases, including multiple sclerosis (MS). In this study, we sought to define the cellular and regional expression of the gene encoding for PAD2 (i.

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Article Synopsis
  • TERT promoter mutations are prevalent in wild-type IDH glioblastoma, making GABPB1 a potential therapeutic target, necessitating noninvasive imaging biomarkers for TERT modulation.
  • The study utilized various glioblastoma models and magnetic resonance spectroscopy (MRS) to assess the effects of silencing TERT and GABPB1 on metabolic changes.
  • Results indicated significant alterations in lactate and glutathione levels linked to TERT expression, suggesting these metabolites could be viable biomarkers for monitoring responses to TERT-targeted therapies in glioblastoma, with clinical implications for patient management.
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Background: Hyperpolarized C MRI quantitatively measures enzyme-catalyzed metabolism in cancer and metabolic diseases. Whole-abdomen imaging will permit dynamic metabolic imaging of several abdominal organs simultaneously in healthy and diseased subjects.

Purpose: Image hyperpolarized [1- C]pyruvate and products in the abdomens of healthy volunteers, overcoming challenges of motion, magnetic field variations, and spatial coverage.

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Nuclear magnetic resonance (NMR) spectroscopy provides detailed information about dynamic processes through line-shape changes, which are traditionally limited to equilibrium conditions. However, a wealth of information is available by studying chemical reactions under off-equilibrium conditions-e.g.

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Objective: Emerging evidence highlights intraindividual variability (IIV) during executive function (EF) tasks as a reliable endophenotype of Attention Deficit/Hyperactivity Disorder (ADHD) and as contributing to motor dysregulation and hyperactive-impulsive behaviors. This study examined the relationship between EF and motor control in children with and without ADHD.

Method: Ninety-seven children (6-13 years) completed standardized and experimental tasks of executive and motor control.

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Purpose: To improve hyperpolarized C (HP- C) MRI by image denoising with a new approach, patch-based higher-order singular value decomposition (HOSVD).

Methods: The benefit of using a patch-based HOSVD method to denoise dynamic HP- C MR imaging data was investigated. Image quality and the accuracy of quantitative analyses following denoising were evaluated first using simulated data of [1- C]pyruvate and its metabolic product, [1- C]lactate, and compared the results to a global HOSVD method.

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Polymerization reactions of the dissolved gases propene, 1-butene, and isobutene catalyzed by [Zr(Cp)Me][B(CF)] were characterized using NMR. Hyperpolarization of C spins by the dissolution dynamic nuclear polarization (DNP) technique provided a signal enhancement of up to 5000-fold for these monomers. For DNP hyperpolarization, liquid aliquots containing monomers were prepared at a temperature between the freezing point of the solvent toluene and the boiling point of the monomer, mixed with the polarizing agent α,γ-bis-diphenylene-β-phenylallyl free radical, and subsequently frozen.

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A set of two dodecaborate [B(OR)] radical cluster anions containing a dense layer of fluorinated end-groups provides nuclear spin hyperpolarization via the dissolution dynamic nuclear polarization (D-DNP) technique. We show that these clusters can enhance F nuclear magnetic resonance (NMR) signals. Importantly, given the inherent radical delocalization in dodecaborate-based clusters, these species are compatible with reactive compounds such as Lewis acids, providing ∼1000-2000 times of signal enhancement for B(CF) in liquid state NMR spectroscopy experiments at 9.

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The decarboxylation reaction of phenylglyoxylic acid with hydrogen peroxide is studied by real-time hyperpolarized carbon-13 nuclear magnetic resonance (13C NMR) spectroscopy at room temperature. A non-observable reaction intermediate is identified using blind selective saturation pulses in the expected chemical shift range, thereby revealing information on the reaction mechanism.

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