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Generating contrast in hyperpolarized 13C MRI using ligand-receptor interactions.

ABSTRACT: We report the imaging of ?-cyclodextrin-benzoic acid binding at 14T using hyperpolarized (13)C magnetic resonance (MR). Benzoic acid was polarized using a dynamic nuclear polarization (DNP) approach and combined with ?-cyclodextrin in aqueous solution. As anticipated, decreases in the spin-lattice relaxation constant (T(1)) were observed with decreases in the ligand-receptor ratio. The calculated log K was approximately 1.7, similar to previously reported binding constants. Hyperpolarized [1-(13)C] benzoic acid was used to interrogate solutions of variable ?-cyclodextrin concentrations, with the mixtures imaged at 14T using a 3D frequency-selective MR sequence. Differences in ?-cyclodextrin concentration were easily visualized. These results suggest that hyperpolarized (13)C MR could be used in vivo to determine the presence and density of receptors for a given ligand-receptor pair.

SUBMITTER: Keshari KR

PROVIDER: S-EPMC3600417 | biostudies-literature | 2012 Aug

REPOSITORIES: biostudies-literature

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Generating contrast in hyperpolarized 13C MRI using ligand-receptor interactions.

Keshari Kayvan R KR Kurhanewicz John J Macdonald Jeffrey M JM Wilson David M DM

The Analyst 20120601 15

We report the imaging of β-cyclodextrin-benzoic acid binding at 14T using hyperpolarized (13)C magnetic resonance (MR). Benzoic acid was polarized using a dynamic nuclear polarization (DNP) approach and combined with β-cyclodextrin in aqueous solution. As anticipated, decreases in the spin-lattice relaxation constant (T(1)) were observed with decreases in the ligand-receptor ratio. The calculated log K was approximately 1.7, similar to previously reported binding constants. Hyperpolarized [1-(13 ...[more]

PMID: 22655289

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Project description:MRI using hyperpolarized (HP) carbon-13 pyruvate is being investigated in clinical trials to provide non-invasive measurements of metabolism for cancer and cardiac imaging. In this project, we applied HP [1-13 C]pyruvate dynamic MRI in prostate cancer to measure the conversion from pyruvate to lactate, which is expected to increase in aggressive cancers. The goal of this work was to develop and test analysis methods for improved quantification of this metabolic conversion. In this work, we compared specialized kinetic modeling methods to estimate the pyruvate-to-lactate conversion rate, kPL , as well as the lactate-to-pyruvate area-under-curve (AUC) ratio. The kinetic modeling included an "inputless" method requiring no assumptions regarding the input function, as well as a method incorporating bolus characteristics in the fitting. These were first evaluated with simulated data designed to match human prostate data, where we examined the expected sensitivity of metabolism quantification to variations in kPL , signal-to-noise ratio (SNR), bolus characteristics, relaxation rates, and B1 variability. They were then applied to 17 prostate cancer patient datasets. The simulations indicated that the inputless method with fixed relaxation rates provided high expected accuracy with no sensitivity to bolus characteristics. The AUC ratio showed an undesired strong sensitivity to bolus variations. Fitting the input function as well did not improve accuracy over the inputless method. In vivo results showed qualitatively accurate kPL maps with inputless fitting. The AUC ratio was sensitive to bolus delivery variations. Fitting with the input function showed high variability in parameter maps. Overall, we found the inputless kPL fitting method to be a simple, robust approach for quantification of metabolic conversion following HP [1-13 C]pyruvate injection in human prostate cancer studies. This study also provided initial ranges of HP [1-13 C]pyruvate parameters (SNR, kPL , bolus characteristics) in the human prostate.

Dataset Information

Generating contrast in hyperpolarized 13C MRI using ligand-receptor interactions.

Publications

Generating contrast in hyperpolarized 13C MRI using ligand-receptor interactions.

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