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Reproducibility of 3D MRSI for imaging human brain glucose metabolism using direct ( 2 H) and indirect ( 1 H) detection of deuterium labeled compounds at 7T and clinical 3T.

Authors :
Niess F
Strasser B
Hingerl L
Niess E
Motyka S
Hangel G
Krššák M
Gruber S
Spurny-Dworak B
Trattnig S
Scherer T
Lanzenberger R
Bogner W
Source :
NeuroImage [Neuroimage] 2023 Aug 15; Vol. 277, pp. 120250. Date of Electronic Publication: 2023 Jul 04.
Publication Year :
2023

Abstract

Introduction: Deuterium metabolic imaging (DMI) and quantitative exchange label turnover (QELT) are novel MR spectroscopy techniques for non-invasive imaging of human brain glucose and neurotransmitter metabolism with high clinical potential. Following oral or intravenous administration of non-ionizing [6,6'- <superscript>2</superscript> H <subscript>2</subscript> ]-glucose, its uptake and synthesis of downstream metabolites can be mapped via direct or indirect detection of deuterium resonances using <superscript>2</superscript> H MRSI (DMI) and <superscript>1</superscript> H MRSI (QELT), respectively. The purpose of this study was to compare the dynamics of spatially resolved brain glucose metabolism, i.e., estimated concentration enrichment of deuterium labeled Glx (glutamate+glutamine) and Glc (glucose) acquired repeatedly in the same cohort of subjects using DMI at 7T and QELT at clinical 3T.<br />Methods: Five volunteers (4 m/1f) were scanned in repeated sessions for 60 min after overnight fasting and 0.8 g/kg oral [6,6'- <superscript>2</superscript> H <subscript>2</subscript> ]-glucose administration using time-resolved 3D <superscript>2</superscript> H FID-MRSI with elliptical phase encoding at 7T and 3D <superscript>1</superscript> H FID-MRSI with a non-Cartesian concentric ring trajectory readout at clinical 3T.<br />Results: One hour after oral tracer administration regionally averaged deuterium labeled Glx <subscript>4</subscript> concentrations and the dynamics were not significantly different over all participants between 7T <superscript>2</superscript> H DMI and 3T <superscript>1</superscript> H QELT data for GM (1.29±0.15 vs. 1.38±0.26 mM, p=0.65 & 21±3 vs. 26±3 µM/min, p=0.22) and WM (1.10±0.13 vs. 0.91±0.24 mM, p=0.34 & 19±2 vs. 17±3 µM/min, p=0.48). Also, the observed time constants of dynamic Glc <subscript>6</subscript> data in GM (24±14 vs. 19±7 min, p=0.65) and WM (28±19 vs. 18±9 min, p=0.43) dominated regions showed no significant differences. Between individual <superscript>2</superscript> H and <superscript>1</superscript> H data points a weak to moderate negative correlation was observed for Glx <subscript>4</subscript> concentrations in GM (r=-0.52, p<0.001), and WM (r=-0.3, p<0.001) dominated regions, while a strong negative correlation was observed for Glc <subscript>6</subscript> data GM (r=-0.61, p<0.001) and WM (r=-0.70, p<0.001).<br />Conclusion: This study demonstrates that indirect detection of deuterium labeled compounds using <superscript>1</superscript> H QELT MRSI at widely available clinical 3T without additional hardware is able to reproduce absolute concentration estimates of downstream glucose metabolites and the dynamics of glucose uptake compared to <superscript>2</superscript> H DMI data acquired at 7T. This suggests significant potential for widespread application in clinical settings especially in environments with limited access to ultra-high field scanners and dedicated RF hardware.<br />Competing Interests: Declaration of Competing Interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Rupert Lanzenberger reports financial support was provided by Siemens Healthcare AG. Rupert Lanzenberger reports a relationship with BM Health GmbH that includes: equity or stocks. R. Lanzenberger received investigator-initiated research funding from Siemens Healthcare regarding clinical research using PET/MR. He is a shareholder of the start-up company BM Health GmbH since 2019.<br /> (Copyright © 2023 The Author(s). Published by Elsevier Inc. All rights reserved.)

Details

Language :
English
ISSN :
1095-9572
Volume :
277
Database :
MEDLINE
Journal :
NeuroImage
Publication Type :
Academic Journal
Accession number :
37414233
Full Text :
https://doi.org/10.1016/j.neuroimage.2023.120250