Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: Jun 8, 2025

Bioorthogonal Chemical Imaging of Cell Metabolism Regulated by Aromatic Amino Acids
10:42

Bioorthogonal Chemical Imaging of Cell Metabolism Regulated by Aromatic Amino Acids

Published on: May 12, 2023

1.1K

Dynamic glucose enhanced imaging using direct water saturation.

Linda Knutsson1,2,3, Nirbhay N Yadav1,4, Sajad Mohammed Ali3

  • 1F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland, USA.

Arxiv
|November 6, 2024
PubMed
Summary

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Restriction-Weighted Q-Space Trajectory Imaging (ResQ): Toward Mapping Diffusion-Time Effects With Tensor-Valued Diffusion Encoding in Human Prostate Cancer Xenografts.

NMR in biomedicine·2026
Same author

Breaking Barriers in Leptomeningeal Disease: A SNO-ASCO Consensus Review on Clinical Trial Design and Basic Science Integration.

Neuro-oncology·2026
Same author

BCG vaccination mitigates tau pathology and restores cognitive function in PS19 mice.

bioRxiv : the preprint server for biology·2026
Same author

Self-Derived Dynamic Field Map Estimation and Correction in CEST MRI.

Magnetic resonance in medicine·2026
Same author

High mannose content of mesenchymal glioblastoma correlates with hydroxyl proton transfer-weighted (HPTw) MRI as noninvasive biomarker of tumor aggressiveness.

Science advances·2026
Same author

Deep-learning saturation transfer magnetic resonance fingerprinting (ST-MRF) in patients with Parkinson's disease.

NeuroImage·2026
Same journal

Optimization in Sparse 2D to Dense 3D Weakly Supervised Learning: Application to Multi-Label Segmentation of Large ex vivo MRI Data.

ArXiv·2026
Same journal

Overview of the MedHopQA track at BioCreative IX: track description, participation and evaluation of systems for multi-hop medical question answering.

ArXiv·2026
Same journal

Characterizing Universal Object Representations Across Vision Models.

ArXiv·2026
Same journal

CXR-LT 2026 Challenge: Multi-Center Long-Tailed and Zero Shot Chest X-ray Classification.

ArXiv·2026
Same journal

What Do Biomedical NER and Entity Linking Benchmarks Measure? A Corpus-Centric Diagnostic Framework.

ArXiv·2026
Same journal

The Origin of Life in the Light of Evolution.

ArXiv·2026
See all related articles
This summary is machine-generated.

Dynamic glucose-enhanced (DGE) MRI using direct water saturation (DS-DGE MRI) shows promise for assessing glucose uptake. This novel method visualizes glucose metabolism in brain tumors, offering results comparable to perfusion-weighted imaging.

Area of Science:

  • Magnetic Resonance Imaging
  • Biomedical Engineering
  • Radiology

Background:

  • Dynamic glucose-enhanced (DGE) MRI techniques like CEST and CESL are used to study glucose uptake.
  • Current DGE MRI methods suffer from low effect size and motion sensitivity.
  • A new approach is needed to improve the accuracy and reliability of DGE MRI.

Purpose of the Study:

  • To introduce and validate a novel DS-DGE MRI technique.
  • To assess glucose-infusion-induced linewidth (LW) changes in various tissues.
  • To evaluate the potential of DS-DGE MRI for brain tumor imaging.

Main Methods:

  • Utilized exchange-based linewidth broadening of the direct water saturation (DS) curve.
  • Performed Bloch-McConnell simulations for normoglycemia and hyperglycemia in different tissues.
Keywords:
CESTZ-spectradirect saturation (DS)dynamic glucose enhanced (DGE) MRIglucoCEST

More Related Videos

Measuring Glucose Uptake in Drosophila Models of TDP-43 Proteinopathy
07:07

Measuring Glucose Uptake in Drosophila Models of TDP-43 Proteinopathy

Published on: August 3, 2021

2.7K
Simultaneous Calcium Imaging and Glucose Stimulation in Living Zebrafish to Investigate In Vivo β-Cell Function
07:55

Simultaneous Calcium Imaging and Glucose Stimulation in Living Zebrafish to Investigate In Vivo β-Cell Function

Published on: September 21, 2021

1.7K

Related Experiment Videos

Last Updated: Jun 8, 2025

Bioorthogonal Chemical Imaging of Cell Metabolism Regulated by Aromatic Amino Acids
10:42

Bioorthogonal Chemical Imaging of Cell Metabolism Regulated by Aromatic Amino Acids

Published on: May 12, 2023

1.1K
Measuring Glucose Uptake in Drosophila Models of TDP-43 Proteinopathy
07:07

Measuring Glucose Uptake in Drosophila Models of TDP-43 Proteinopathy

Published on: August 3, 2021

2.7K
Simultaneous Calcium Imaging and Glucose Stimulation in Living Zebrafish to Investigate In Vivo β-Cell Function
07:55

Simultaneous Calcium Imaging and Glucose Stimulation in Living Zebrafish to Investigate In Vivo β-Cell Function

Published on: September 21, 2021

1.7K
  • Implemented whole-brain DS-DGE imaging at 3 tesla with dynamic Z-spectral acquisitions.
  • Employed a deep learning-based Lorentzian fitting approach to assess LW changes.
  • Compared area-under-the-curve (AUC) maps to perfusion-weighted imaging (PWI) in brain tumor patients.
  • Main Results:

    • Simulations predicted varying LW changes across different tissues.
    • In vivo studies showed significant LW changes in GM/WM, tumors, and CSF.
    • DS-DGE AUC maps effectively outlined lesion areas in brain tumor patients.
    • Results demonstrated DGE-based lesion enhancement comparable and complementary to PWI.

    Conclusions:

    • DS-DGE MRI is a promising technique for assessing D-glucose uptake.
    • The method provides high-quality AUC maps of glucose-induced line broadening.
    • DS-DGE MRI shows potential for brain tumor assessment, complementing existing imaging modalities.