Evidence map›Paper›PMID 31313865›Full record

ArticleNMR in biomedicine2019

Quantification of hydroxyl exchange of D-Glucose at physiological conditions for optimization of glucoCEST MRI at 3, 7 and 9.4 Tesla.

Moritz Zaiss, Annasofia Anemone, Steffen Goerke, Dario Livio Longo, Kai Herz, Rolf Pohmann, Silvio Aime, Michal Rivlin, Gil Navon, Xavier Golay and 1 more

Open access · hybridAbstract read
In one paragraph

Article in NMR in biomedicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
8.2field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

32 citing papers in PubMed, 66 citations in OpenAlex.

  1. Effective Modeling of Continuous WaveMagnetic resonance in medicine · 2026
    Article
  2. Dynamic glucose-enhanced MRI in brain tumors.Magma (New York, N.Y.) · 2026
    Review
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  9. Glucose exchange parameters in a subset of physiological conditions.Physical chemistry chemical physics : PCCP · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 6 institutions in 4 countries.

Moritz ZaissHigh-field Magnetic Resonance Center, Max Planck Institute for Biological Cybernetics, Tübingen, Germany.ORCID 0000-0001-9780-3616
Annasofia AnemoneMolecular Imaging Center, Department of Molecular Biotechnology and Health Sciences, University of Torino, Torino, Italy.
Steffen GoerkeDivision of Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Dario Livio LongoMolecular Imaging Center, Department of Molecular Biotechnology and Health Sciences, University of Torino, Torino, Italy.ORCID 0000-0002-6906-9925
Kai HerzHigh-field Magnetic Resonance Center, Max Planck Institute for Biological Cybernetics, Tübingen, Germany.
Rolf PohmannHigh-field Magnetic Resonance Center, Max Planck Institute for Biological Cybernetics, Tübingen, Germany.
Silvio AimeMolecular Imaging Center, Department of Molecular Biotechnology and Health Sciences, University of Torino, Torino, Italy.
Michal RivlinSchool of Chemisty, Tel-Aviv University, Tel-Aviv, Israel.
Gil NavonSchool of Chemisty, Tel-Aviv University, Tel-Aviv, Israel.
Xavier GolayInstitute of Neurology, University College London, London, UK.
Klaus SchefflerHigh-field Magnetic Resonance Center, Max Planck Institute for Biological Cybernetics, Tübingen, Germany.
Max Planck Institute for Biological Cybernetics · DETel Aviv University · ILUniversity of Turin · ITGerman Cancer Research Center · DEInstitute of Molecular Bioimaging and Physiology · ITUniversity College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsTo determine individual glucose hydroxyl exchange rates at physiological conditions and use this information for numerical optimization of glucoCEST/CESL preparation. To give guidelines for in vivo glucoCEST/CESL measurement parameters at clinical and ultra-high field strengths.

methodsFive glucose solution samples at different pH values were measured at 14.1 T at various B RESULTS AND DISCUSSION: Glucose Z-spectra could be fitted with four exchanging pools at 0.66, 1.28, 2.08 and 2.88 ppm. Corresponding hydroxyl exchange rates could be determined at pH = 7.2, T = 37°C and 1X PBS. Simulation of saturation transfer for this glucose system in a gray matter-like and a tumor-like system revealed optimal pulses at different field strengths of 9.4, 7 and 3 T. Different existing sequences and approaches are simulated and discussed. The optima found could be experimentally verified in an animal model at 7 T.

conclusionFor the determined fast exchange regime, presaturation pulses in the spin-lock regime (long recover time, short yet strong saturation) were found to be optimal. This study gives an estimation for optimization of the glucoCEST signal in vivo on the basis of glucose exchange rate at physiological conditions.

Indexed as

Magnetic Resonance ImagingAnimalsComputer SimulationFemaleGlucoseHeterograftsHydrogen-Ion ConcentrationHydroxyl RadicalMice, Inbred BALB CGlucoseHydroxyl RadicalBloch-McConellchemical exchange saturation transferD-Glucosedynamic glucose enhancementendogenous contrast methodsglucoCESTglucose proton exchange

Identifiers

PMID31313865
PMCPMC6771698
OpenAlexW2957318067

What OpenQuestion holds

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Registered trials

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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.