ArticleTomography (Ann Arbor, Mich.)2018
Arterial Input Functions and Tissue Response Curves in Dynamic Glucose-Enhanced (DGE) Imaging: Comparison Between glucoCEST and Blood Glucose Sampling in Humans.
Article in Tomography (Ann Arbor, Mich.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed, 33 citations in OpenAlex.
- Chemical exchange saturation transfer MRI for neurodegenerative diseases: An update on clinical and preclinical studies.Neural regeneration research · 2026Article
- Dynamic glucose enhanced imaging using direct water saturation.Magnetic resonance in medicine · 2025Article
- Motion and magnetic field inhomogeneity correction techniques for chemical exchange saturation transfer (CEST) MRI: A contemporary review.NMR in biomedicine · 2025Review
- Dynamic glucose-enhanced MRI of gliomas: A preliminary clinical application.NMR in biomedicine · 2025Article
- A Novel Diagnostic Prediction Model for Distinguishing Between Tuberculous and Cryptococcal Meningitis.Clinical medicine & research · 2024Article
- Effect of inhaled oxygen level on dynamic glucose-enhanced MRI in mouse brain.Magnetic resonance in medicine · 2024Article
- High caloric intake improves neuronal metabolism and functional hyperemia in a rat model of early AD pathology.Theranostics · 2024Article
- Exploring neurodegenerative disorders using advanced magnetic resonance imaging of the glymphatic system.Frontiers in psychiatry · 2024Review
- Tissue response curve-shape analysis of dynamic glucose-enhanced and dynamic contrast-enhanced magnetic resonance imaging in patients with brain tumor.NMR in biomedicine · 2023Article
- A numerical human brain phantom for dynamic glucose-enhanced (DGE) MRI: On the influence of head motion at 3T.Magnetic resonance in medicine · 2023Article
- In vivo methods for imaging blood-brain barrier function and dysfunction.European journal of nuclear medicine and molecular imaging · 2023Review
- What do we know about dynamic glucose-enhanced (DGE) MRI and how close is it to the clinics? Horizon 2020 GLINT consortium report.Magma (New York, N.Y.) · 2022Review
- GLINT: GlucoCEST in neoplastic tumors at 3 T-clinical results of GlucoCEST in gliomas.Magma (New York, N.Y.) · 2022Article
- Towards robust glucose chemical exchange saturation transfer imaging in humans at 3 T: Arterial input function measurements and the effects of infusion time.NMR in biomedicine · 2022Article
- D-Glucose uptake and clearance in the tauopathy Alzheimer's disease mouse brain detected by on-resonance variable delay multiple pulse MRI.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2021Article
- d-glucose weighted chemical exchange saturation transfer (glucoCEST)-based dynamic glucose enhanced (DGE) MRI at 3T: early experience in healthy volunteers and brain tumor patients.Magnetic resonance in medicine · 2020Article
- Altered d-glucose in brain parenchyma and cerebrospinal fluid of early Alzheimer's disease detected by dynamic glucose-enhanced MRI.Science advances · 2020Article
- Development of Zinc-Specific iCEST MRI as an Imaging Biomarker for Prostate Cancer.Angewandte Chemie (International ed. in English) · 2019Article
- Challenges in glucoCEST MR body imaging at 3 Tesla.Quantitative imaging in medicine and surgery · 2019Article
- The effect of the mTOR inhibitor rapamycin on glucoCEST signal in a preclinical model of glioblastoma.Magnetic resonance in medicine · 2019Article
Corrections and comments
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Authors and funding
11 authors at 3 institutions in 2 countries.
Funding
Abstract
Dynamic glucose-enhanced (DGE) imaging uses chemical exchange saturation transfer magnetic resonance imaging to retrieve information about the microcirculation using infusion of a natural sugar (D-glucose). However, this new approach is not yet well understood with respect to the dynamic tissue response. DGE time curves for arteries, normal brain tissue, and cerebrospinal fluid (CSF) were analyzed in healthy volunteers and compared with the time dependence of sampled venous plasma blood glucose levels. The arterial response curves (arterial input function [AIF]) compared reasonably well in shape with the time curves of the sampled glucose levels but could also differ substantially. The brain tissue response curves showed mainly negative responses with a peak intensity that was of the order of 10 times smaller than the AIF peak and a shape that was susceptible to both noise and partial volume effects with CSF, attributed to the low contrast-to-noise ratio. The CSF response curves showed a rather large and steady increase of the glucose uptake during the scan, due to the rapid uptake of D-glucose in CSF. Importantly, and contrary to gadolinium studies, the curves differed substantially among volunteers, which was interpreted to be caused by variations in insulin response. In conclusion, while AIFs and tissue response curves can be measured in DGE experiments, partial volume effects, low concentration of D-glucose in tissue, and osmolality effects between tissue and blood may prohibit quantification of normal tissue perfusion parameters. However, separation of tumor responses from normal tissue responses would most likely be feasible.
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