Challenges in glucoCEST MR body imaging at 3 Tesla.

Published on Oct 28, 2019in Quantitative imaging in medicine and surgery3.226
· DOI :10.21037/QIMS.2019.10.05
Mina Kim3
Estimated H-index: 3
(UCL: University College London),
F Torrealdea1
Estimated H-index: 1
(UCLH: University College Hospital)
+ 18 AuthorsXavier Golay60
Estimated H-index: 60
Sources
Abstract
Background: The aim of this study was to translate dynamic glucose enhancement (DGE) body magnetic resonance imaging (MRI) based on the glucose chemical exchange saturation transfer (glucoCEST) signal to a 3 T clinical field strength. Methods: An infusion protocol for intravenous (i.v.) glucose was optimised using a hyperglycaemic clamp to maximise the chances of detecting exchange-sensitive MRI signal. Numerical simulations were performed to define the optimum parameters for glucoCEST measurements with consideration to physiological conditions. DGE images were acquired for patients with lymphomas and prostate cancer injected i.v. with 20% glucose. Results: The optimised hyperglycaemic clamp infusion based on the DeFronzo method demonstrated higher efficiency and stability of glucose delivery as compared to manual determination of glucose infusion rates. DGE signal sensitivity was found to be dependent on T 2 , B 1 saturation power and integration range. Our results show that motion correction and B 0 field inhomogeneity correction are crucial to avoid mistaking signal changes for a glucose response while field drift is a substantial contributor. However, after B 0 field drift correction, no significant glucoCEST signal enhancement was observed in tumour regions of all patients in vivo . Conclusions: Based on our simulated and experimental results, we conclude that glucose-related signal remains elusive at 3 T in body regions, where physiological movements and strong effects of B 1 + and B 0 render the originally small glucoCEST signal difficult to detect.
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