Abstract

Dissolution dynamic nuclear polarisation (dDNP) of 13 C-labelled pyruvate in magnetic resonance spectroscopy/imaging (MRS/MRSI) has the potential for monitoring tumour progression and treatment response. Pyruvate delivery, its metabolism to lactate and efflux were investigated in rat P22 sarcomas following simultaneous intravenous administration of hyperpolarised 13 C-labelled pyruvate (13 C1 -pyruvate) and urea (13 C-urea), a nonmetabolised marker. A general mathematical model of pyruvate-lactate exchange, incorporating an arterial input function (AIF), enabled the losses of pyruvate and lactate from tumour to be estimated, in addition to the clearance rate of pyruvate signal from blood into tumour, Kip , and the forward and reverse fractional rate constants for pyruvate-lactate signal exchange, kpl and klp . An analogous model was developed for urea, enabling estimation of urea tumour losses and the blood clearance parameter, Kiu . A spectral fitting procedure to blood time-course data proved superior to assuming a gamma-variate form for the AIFs. Mean arterial blood pressure marginally correlated with clearance rates. Kiu equalled Kip , indicating equivalent permeability of the tumour vasculature to urea and pyruvate. Fractional loss rate constants due to effluxes of pyruvate, lactate and urea from tumour tissue into blood (kpo , klo and kuo , respectively) indicated that T1 s and the average flip angle, θ, obtained from arterial blood were poor surrogates for these parameters in tumour tissue. A precursor-product model, using the tumour pyruvate signal time-course as the input for the corresponding lactate signal time-course, was modified to account for the observed delay between them. The corresponding fractional rate constant, kavail , most likely reflected heterogeneous tumour microcirculation. Loss parameters, estimated from this model with different TRs, provided a lower limit on the estimates of tumour T1 for lactate and urea. The results do not support use of hyperpolarised urea for providing information on the tumour microcirculation over and above what can be obtained from pyruvate alone. The results also highlight the need for rigorous processes controlling signal quantitation, if absolute estimations of biological parameters are required.

Highlights

  • The main aim of the current study was to use the general models to carry out a comprehensive analysis of the fate of exogenously administered hyperpolarised pyruvate and urea in a rat tumour model

  • The precursor-product model is straightforwardly applied to tumour 13C1-pyruvic acid Dissolution dynamic nuclear polarisation (dDNP) data and so has obvious clinical utility, primarily for estimating kpl

  • This model is improved by the incorporation of a nonexchanging spatial compartment to account for the delay in appearance of the lactate signal compared with the pyruvate signal in tumour tissue

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Summary

Introduction

The main aim of the current study was to use the general models to carry out a comprehensive analysis of the fate of exogenously administered hyperpolarised pyruvate and urea in a rat tumour model. Delivery parameters for pyruvate and urea, defined as the clearance rates of hyperpolarised pyruvate and urea signals from arterial blood into tumour tissue (Kip and Kiu, respectively), the forward and reverse fractional rate constants for pyruvate-lactate signal exchange (kpl and klp, respectively) and the fractional loss rate constants for hyperpolarised pyruvate, lactate and urea signals due to efflux from tumour into blood (kpo, klo and kuo, respectively) were estimated. The results confirmed that the use of urea in hyperpolarisation experiments did not provide any information on the tumour microcirculation over and above what could be obtained from pyruvate alone. A second aim was to interrogate the modified precursor-product model to investigate the kinetics of the delayed lactate signal in tumour tissue and the total lactate signal losses from tumour tissue arising from metabolism, efflux into blood and signal loss, in addition to estimating kpl. Estimating total lactate losses from tumour tissue at different scanning repetition times (TRs) enabled calculation of the average flip angle (θ) and lower limits on the longitudinal relaxation times for pyruvate and urea (T1p and T1u, respectively) in tumour tissue

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