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Absolute quantification of human in vivo hepatic 31P magnetic resonance spectroscopy at 7 tesla

Abstract:

Phosphorus (31P) metabolites are emerging liver disease biomarkers. This work aims to develop a quantification protocol for human hepatic 31P magnetic resonance spectroscopy (MRS) at 7 tesla (T). It should have high SNR, deliver robust measurements of metabolite concentrations with high reproducibility, and be feasible to use in clinical studies. This will allow detailed characterization of liver metabolism in diseases such as cirrhosis, increasing the utility of 31P-MRS as a clinical tool.

A 3D chemical shift imaging method using a 16 channel 31P array at 7 T is chosen to give high SNR 31P spectra from the human liver in vivo, while also providing good spatial localization and spectral resolution.

The Oxford Spectroscopy Analysis (OXSA) toolbox, our MATLAB-based processing software package, is introduced and adaptations for analysis of liver spectra are described.

Five volunteers were scanned to determine T1s for the ten visible 31P metabolites. Simulations were used to determine design criteria for calibration phantoms at 1.5, 3 and 7 T. I compare three candidate approaches to give "absolute" concentrations in mmol/L wet tissue using a 10 cm loop coil, and then extend these approaches to data acquired using the 16 element receive array.

The final protocol was applied to data acquired in ten healthy volunteers and eleven patients with cirrhosis to determine reproducibility and the differences between healthy and diseased livers. This protocol allows distinction between healthy and cirrhotic livers with 90% specificity and sensitivity, using cut-offs in either γ-adenosine triphosphate or inorganic phosphate concentrations.

This 31P-MRS absolute quantification protocol is an important first step in fully utilising the increased SNR afforded by the 7 T scanner, offering valuable insight into liver metabolism, and paving the way for other novel 31P-MRS methods to be developed in the liver at 7 T.

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Division:
MSD
Department:
Doctoral Training Centre - MSD
Role:
Author

Contributors

Role:
Supervisor
Role:
Supervisor


Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford


Language:
English
Keywords:
Subjects:
UUID:
uuid:80bc4b80-059b-43b5-9e4c-c38a6e29274c
Deposit date:
2018-08-10

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