ArticleMagnetic resonance in medicine2025
Dynamic glucose enhanced imaging using direct water saturation.
Article in Magnetic resonance in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- ESR Essentials: Perfusion MRI-practice recommendations by the European Society for Magnetic Resonance in Medicine and Biology.European radiology · 2026Guideline
- Effective Modeling of Continuous WaveMagnetic resonance in medicine · 2026Article
- Self-Derived Dynamic Field Map Estimation and Correction in CEST MRI.Magnetic resonance in medicine · 2026Article
- Dynamic glucose-enhanced MRI in brain tumors.Magma (New York, N.Y.) · 2026Review
- High mannose content of mesenchymal glioblastoma correlates with hydroxyl proton transfer-weighted (HPTw) MRI as noninvasive biomarker of tumor aggressiveness.Science advances · 2026Article
- Single-breath-hold 3D abdominal metabolic MRI enables label-free diagnosis of liver cancer.Nature communications · 2026Article
- Radiofrequency bandwidth effects in direct saturation dynamic glucose enhanced MRI at 3T.Frontiers in neuroscience · 2026Article
- Dynamic glucose enhanced imaging using direct water saturation.Magnetic resonance in medicine · 2025Article
- Machine learning-based multi-pool Voigt fitting of CEST, rNOE, and MTC in Z-spectra.Magnetic resonance in medicine · 2025Article
- Single-shot multiparametric MRI for separatingTheranostics · 2025Article
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Abstract
purposeDynamic glucose enhanced (DGE) MRI studies employ CEST or spin lock (CESL) to study glucose uptake. Currently, these methods are hampered by low effect size and sensitivity to motion. To overcome this, we propose to utilize exchange-based linewidth (LW) broadening of the direct water saturation (DS) curve of the water saturation spectrum (Z-spectrum) during and after glucose infusion (DS-DGE MRI).
methodsTo estimate the glucose-infusion-induced LW changes (ΔLW), Bloch-McConnell simulations were performed for normoglycemia and hyperglycemia in blood, gray matter (GM), white matter (WM), CSF, and malignant tumor tissue. Whole-brain DS-DGE imaging was implemented at 3 T using dynamic Z-spectral acquisitions (1.2 s per offset frequency, 38 s per spectrum) and assessed on four brain tumor patients using infusion of 35 g of D-glucose. To assess ΔLW, a deep learning-based Lorentzian fitting approach was used on voxel-based DS spectra acquired before, during, and post-infusion. Area-under-the-curve (AUC) images, obtained from the dynamic ΔLW time curves, were compared qualitatively to perfusion-weighted imaging parametric maps.
resultsIn simulations, ΔLW was 1.3%, 0.30%, 0.29/0.34%, 7.5%, and 13% in arterial blood, venous blood, GM/WM, malignant tumor tissue, and CSF, respectively. In vivo, ΔLW was approximately 1% in GM/WM, 5% to 20% for different tumor types, and 40% in CSF. The resulting DS-DGE AUC maps clearly outlined lesion areas.
conclusionsDS-DGE MRI is highly promising for assessing D-glucose uptake. Initial results in brain tumor patients show high-quality AUC maps of glucose-induced line broadening and DGE-based lesion enhancement similar and/or complementary to perfusion-weighted imaging.
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