Evidence map›Paper›PMID 31728307›Full record

ArticleQuantitative imaging in medicine and surgery2019

Challenges in glucoCEST MR body imaging at 3 Tesla.

Mina Kim, Francisco Torrealdea, Sola Adeleke, Marilena Rega, Vincent Evans, Teresita Beeston, Katerina Soteriou, Stefanie Thust, Aaron Kujawa, Sachi Okuchi and 11 more

Registry-linked trialAbstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05614310 (Early Detection Of Alzheimer's Disease With GlucoCEST MRI), which is not on this map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
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.

NCT05614310 recruitingnot on this mapstarted 2022, after this paper: background citation

Early Detection Of Alzheimer's Disease With GlucoCEST MRI: A Feasibility Study.

TypeobservationalSponsorUniversity of AberdeenRan2022 to 2025Enrolled60ConditionsAlzheimer DiseaseArmsMagnetic Resonance Imaging (MRI), Blood Glucose Assessment, Positron Emission Tomography (PET), Cognitive Assessment
3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Dynamic glucose-enhanced MRI in brain tumors.Magma (New York, N.Y.) · 2026
    Review
  2. Review
  3. Article
  4. Article
  5. Glucose exchange parameters in a subset of physiological conditions.Physical chemistry chemical physics : PCCP · 2023
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Emerging methods in radiology.Der Radiologe · 2020
    Review
  14. Review
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

21 authors.

Mina KimDepartment of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.
Francisco TorrealdeaMedical Physics and Biomedical Engineering, University College Hospital, London, UK.
Sola AdelekeUCL Centre for Medical Imaging, London, UK.
Marilena RegaInstitute of Nuclear Medicine, University College Hospital, London, UK.
Vincent EvansUCL Centre for Medical Imaging, London, UK.
Teresita BeestonUCL Centre for Medical Imaging, London, UK.
Katerina SoteriouUCL Centre for Medical Imaging, London, UK.
Stefanie ThustLysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, London, UK.
Aaron KujawaDepartment of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.
Sachi OkuchiDepartment of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.
Elizabeth IsaacUCL Centre for Medical Imaging, London, UK.
Wivijin PigaUCL Centre for Medical Imaging, London, UK.
Jonathan R LambertDepartment of Haematology, University College London Hospital, London, UK.
Asim AfaqInstitute of Nuclear Medicine, University College Hospital, London, UK.
Eleni DemetriouDepartment of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.
Pratik ChoudharyKing's College Hospital NHS Foundation Trust, London, UK.
King Kenneth CheungUniversity College London Hospitals NHS Foundation Trust, London, UK.
Sarita NaikDepartment of Diabetes and Endocrinology, University College Hospital, London, UK.
David AtkinsonUCL Centre for Medical Imaging, London, UK.
Shonit PunwaniUCL Centre for Medical Imaging, London, UK.
Xavier GolayDepartment of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.

Funding

Cancer Research UK 16463Medical Research Council MR/M009106/1
6 · The paper itself

Abstract

backgroundThe aim of this study was to translate dynamic glucose enhancement (DGE) body magnetic resonance imaging (MRI) based on the glucose chemical exchange saturation transfer (glucoCEST) signal to a 3 T clinical field strength.

methodsAn infusion protocol for intravenous (i.v.) glucose was optimised using a hyperglycaemic clamp to maximise the chances of detecting exchange-sensitive MRI signal. Numerical simulations were performed to define the optimum parameters for glucoCEST measurements with consideration to physiological conditions. DGE images were acquired for patients with lymphomas and prostate cancer injected i.v. with 20% glucose.

resultsThe optimised hyperglycaemic clamp infusion based on the DeFronzo method demonstrated higher efficiency and stability of glucose delivery as compared to manual determination of glucose infusion rates. DGE signal sensitivity was found to be dependent on T

conclusionsBased on our simulated and experimental results, we conclude that glucose-related signal remains elusive at 3 T in body regions, where physiological movements and strong effects of B

Indexed as

clinical 3 Tfield inhomogeneityGlucose chemical exchange saturation transfer (glucoCEST), body magnetic resonance imaging (body MRI)magnetization transfer ratio asymmetry (MTRasym)

Identifiers

PMID31728307
PMCPMC6828585

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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.