Deuterium labeling of GLUCOse improves magnetic resonance imaging Sensitivity to CANcer metabolism

HORIZON.1.1HORIZON-ERCID: 101088351
EC Contribution
€24,959
Consortium Size
1 orgs
Summary

The targeted scientific breakthrough of GLUCO-SCAN is the development and clinical evaluation of a disruptive whole-body molecular imaging concept for cancer assessment. The only currently established whole-body molecular imaging device is positron emission tomography (PET). Glucose (Glc)-sensitive PET is widely used in cancer diagnosis and treatment assessment, but has several major limitations: PET involves harmful ionizing radiation, is expensive, not widely available, and cannot differentiate between cancer-specific and normal cellular glucose uptake. These limitations prohibit an even more widespread use of PET, e.g. for screening. We propose a new Magnetic Resonance Imaging (MRI) concept, whole-body deuterium metabolic imaging (DMI) that will overcome these limitations.Deuteration is a simple chemical procedure with which it is possible to artificially label a broad range of molecules with an equally broad range of potential applications, e.g., targeting Glc metabolism in cancer. After ingestion, this labeled Glc is metabolized in cells and the label is transferred to all metabolic products, which can be tracked by DMI.Building on our recent preliminary results in Nature Biomed, we propose a combination of novel MRI hardware, dynamic spectroscopic data sampling, deep learning algorithms, and a clinical validation to answer the following three research questions in a 5-year project:(i) Is DMI a viable alternative for whole-body cancer assessment?(ii) How is DMI positioned compared to Glc-sensitive PET?(iii) Can DMI be performed on widely available MRI systems and simultaneous with standard MRI?GLUCO-SCAN will fill a gap in current medical imaging by offering an alternative for whole-body PET examinations and potentially even for screening of high risk populations. Ultimately, it will pave the way for a new generation of MR scanners with all-in-one whole-body imaging capability that would capture morphologic and molecular information simultaneously.

Consortium (1)

Project Results (6)

Source: CORDIS, the EU research results database.

Publications (6)
A deep autoencoder for fast spectral–temporal fitting of dynamic deuterium metabolic imaging data at 7T
NeuroImage· 2025DOI
Aaron Paul Osburg, Amirmohammad Shamaei, Bernhard Strasser, Fabian Niess, Anna Duguid, Viola Bader, Sabina Frese, Lukas Hingerl, Hauke Fischer, William T. Clarke, Georg Langs, Wolfgang Bogner, Stanisl
Balanced Steady-State Free Precession Enables High-Resolution Dynamic 3D Deuterium Metabolic Imaging of the Human Brain at 7T
Investigative Radiology· 2025DOI
Sabina Frese, Bernhard Strasser, Lukas Hingerl, Elton Montrazi, Lucio Frydman, Stanislav Motyka, Viola Bader, Anna Duguid, Aaron Osburg, Martin Krssak, Rupert Lanzenberger, Thomas Scherer, Wolfgang Bo
Comparison of Low‐Rank Denoising Methods for Dynamic Deuterium MRSI at 7 T
NMR in Biomedicine· 2025DOI
Anna Duguid; Fabian Niess; Wolfgang Bogner; Lukas Hingerl; Viola Bader; Sabina Frese; Aaron Osburg; Bernard Lanz; Brayan Alves; Cristina Cudalbu; Simon Daniel Robinson; Korbinian Eckstein; Bernhard S
Feasibility of High‐Resolution Deuterium Metabolic Imaging of the Human Kidney Using Concentric Ring Trajectory Sampling at 7T
NMR in Biomedicine· 2025DOI
Fabian Niess; Bernhard Strasser; Lukas Hingerl; Johannes J. Kovarik; Viola Bader; Sabina Frese; Anna Duguid; Aaron Osburg; Eva Niess; Stanislav Motyka; Martin Krššák; Thomas Scherer; Wolfgang Bogn
Concentric Ring Trajectory Sampling With k‐Space Reordering Enables Assessment of Tissue‐Specific <i>T</i><sub>1</sub> and <i>T</i><sub>2</sub> Relaxation for <sup>2</sup>H‐Labeled Substrates in
NMR in Biomedicine· 2024DOI
Bader, V; Strasser, B; Bogner, W; Hingerl, L; Frese, S; Duguid, A; Osburg, A; Clarke, W; Motyka, S; Krssak, M; Trattnig, S; Scherer, T; Lanzenberger, R; Niess, F
Whole‐brain deuterium metabolic imaging via concentric ring trajectory readout enables assessment of regional variations in neuronal glucose metabolism
Human Brain Mapping· 2024DOI
Niess, F; Strasser, B; Hingerl, L; Bader, V; Frese, S; Clarke, WT; Duguid, A; Niess, E; Motyka, S; Krššák, M; Trattnig, S; Scherer, T; Lanzenberger, R; Bogner, W