ArticleChemical & biomedical imaging2026
Quantitative Assessment of Brain Glucose Metabolism Using Dynamic Glucose-Enhanced Magnetic Resonance Fingerprinting (DGE-MRF).
Article in Chemical & biomedical imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Catalyzing MRI: An Enzymatic Strategy forChemical & biomedical imaging · 2026Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The brain relies heavily on glucose to sustain neuronal and glial functions, with metabolism closely regulated by both glucose levels and underlying physiological or pathological states. To investigate this complex process, a dynamic glucose-enhanced magnetic resonance fingerprinting (DGE-MRF) approach was implemented at a 9.4 T MRI system, integrating established multiparametric MRF with DGE-MRI and γ-variate kinetic modeling to track glucose uptake and clearance in gliomas. Dynamic Δ
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.