Assessment of T1 and T2 relaxation times of deuterium (2H) labeled resonances in the human liver and kidney using k-space reordered 3D concentric ring trajectory sampling at 7T
Year: 2026
Type: article
Abstract: Objective Deuterium metabolic imaging (DMI) is an emerging MR technique providing non-invasive insights into glucose metabolism. Reliable concentration estimation depends on knowledge of tissue specific relaxation times. This study reports T ₁ and T ₂ relaxation time constants of deuterium-labeled water (HDO) and glucose (Glc) from the human liver and kidney at 7T. Materials and methods Twelve healthy volunteers (6f/6 m) were examined using k -space-reordered inversion-recovery and spin-echo DMI with non-Cartesian concentric-ring trajectory (CRT) sampling. Seven volunteers underwent oral 2 H-Glc (0.8 g/kg body weight) administration. Data were averaged over organ-specific masks before spectral fitting. One volunteer was measured after oral D₂O (0.5 ml/kg body weight) administration. Results Faster longitudinal relaxation but similar transversal relaxation were observed for 2 H-labeled Glc in the liver compared to kidney tissue ( T ₁ liver/kidney = 60 ± 4 ms/85 ± 18 ms, p = 0.016; T ₂ liver/kidney = 31 ± 6 ms/35 ± 2 ms, p = 0.283). HDO exhibited significantly shorter liver relaxation times ( T 1 liver/kidney = 218 ± 24 ms/324 ± 34 ms, p < 0.001; T ₂ liver/kidney = 28 ± 4 ms/39 ± 6 ms, p < 0.001). D₂O loading improved voxelwise SNR enabling renal T ₁/ T ₂ mapping of HDO. Discussion Hepatic and renal glucose homeostasis is often impaired in several pathophysiological conditions such as tumors, diabetes and metabolic dysfunction-associated steatotic liver disease. Using organ-specific 2 H relaxation times increases the accuracy of concentration estimation and can help to improve the understanding of underlying metabolic processes in future abdominal DMI studies, which can help to push abdominal DMI towards clinical application.
Institution: Medical University of Vienna
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $5,090
Funders: Österreichische Nationalstiftung für Forschung, Technologie und Entwicklung, European Commission, Austrian Science Fund, Universität Wien, Medizinische Universität Wien, Christian Doppler Forschungsgesellschaft, Bundesministerium für Digitalisierung und Wirtschaftsstandort, National Institutes of Health, European Research Council
OpenAlex ID: W7124444000