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Voxel‐by‐voxel correlations of perfusion, substrate, and metabolite signals in dynamic hyperpolarized 13 C imaging
Author(s) -
Lau Justin Y. C.,
Chen Albert P.,
Gu YiPing,
Cunningham Charles H.
Publication year - 2016
Publication title -
nmr in biomedicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.278
H-Index - 114
eISSN - 1099-1492
pISSN - 0952-3480
DOI - 10.1002/nbm.3564
Subject(s) - perfusion , voxel , metabolite , chemistry , skeletal muscle , nuclear magnetic resonance , medicine , nuclear medicine , biochemistry , radiology , physics
In this study, a mixture of pyruvic acid and the perfusion agent HP001 was co‐polarized for simultaneous assessment of perfusion and metabolism in vivo . The pre‐polarized mixture was administered to rats with subcutaneous MDA‐MB‐231 breast cancer xenografts and imaged using an interleaved sequence with designed spectral–spatial pulses and flyback echo‐planar readouts. Voxel‐by‐voxel signal correlations from 10 animals (15 data sets) were analyzed for tumour, kidney, and muscle regions of interest. The relationship between perfusion and hyperpolarized signal was explored on a voxel‐by‐voxel basis in various metabolically active tissues, including tumour, healthy kidneys, and skeletal muscle. Positive pairwise correlations between lactate, pyruvate, and HP001 observed in all 10 tumours suggested that substrate delivery was the dominant factor limiting the conversion of pyruvate to lactate in the tumour model used in this study. On the other hand, in cases where conversion is the limiting factor, such as in healthy kidneys, both pyruvate and lactate can act as excellent perfusion markers. In intermediate cases between the two limits, such as in skeletal muscle, some perfusion information may be inferred from the (pyruvate + lactate) signal distribution. Co‐administration of pyruvate with a dynamic nuclear polarization (DNP) perfusion agent is an effective approach for distinguishing between slow metabolism and poor perfusion and a practical strategy for lactate signal normalization to account for substrate delivery, especially in cases of rapid pyruvate‐to‐lactate conversion and in poorly perfused regions with inadequate pyruvate signal‐to‐noise ratio for reliable determination of the lactate‐to‐pyruvate ratio. Copyright © 2016 John Wiley & Sons, Ltd.