Evidence map›Paper›PMID 37414233›Full record

ArticleNeuroImage2023

Reproducibility of 3D MRSI for imaging human brain glucose metabolism using direct (

Fabian Niess, Bernhard Strasser, Lukas Hingerl, Eva Niess, Stanislav Motyka, Gilbert Hangel, Martin Krššák, Stephan Gruber, Benjamin Spurny-Dworak, Siegfried Trattnig and 3 more

Open access · goldAbstract read
In one paragraph

Article in NeuroImage, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
5.3field-weighted citation impact, top 4% 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

21 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Reproducibility of the Determination ofNMR in biomedicine · 2025
    Article
  13. Article
  14. Human Brain Deuterium Metabolic Imaging at 7 T: Impact of Different [6,6'-Journal of magnetic resonance imaging : JMRI · 2025
    Article
  15. Article
  16. Spatial distribution of hyperpolarized [1-Imaging neuroscience (Cambridge, Mass.) · 2025
    Article
  17. Article
  18. Observational
  19. Review
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 3 institutions in 1 country.

Fabian NiessHigh Field MR Center, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Lazarettgasse 14, Vienna A-1090, Austria. Electronic address: fabian.niess@meduniwien.ac.at.
Bernhard StrasserHigh Field MR Center, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Lazarettgasse 14, Vienna A-1090, Austria.
Lukas HingerlHigh Field MR Center, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Lazarettgasse 14, Vienna A-1090, Austria.
Eva NiessHigh Field MR Center, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Lazarettgasse 14, Vienna A-1090, Austria; Christian Doppler Laboratory for MR Imaging Biomarkers (BIOMAK), Austria.
Stanislav MotykaHigh Field MR Center, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Lazarettgasse 14, Vienna A-1090, Austria; Christian Doppler Laboratory for MR Imaging Biomarkers (BIOMAK), Austria.
Gilbert HangelHigh Field MR Center, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Lazarettgasse 14, Vienna A-1090, Austria; Department of Neurosurgery, Medical University of Vienna, Austria.
Martin KrššákDepartment of Medicine III, Division of Endocrinology and Metabolism, Medical University of Vienna, Austria.
Stephan GruberHigh Field MR Center, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Lazarettgasse 14, Vienna A-1090, Austria; Christian Doppler Laboratory for MR Imaging Biomarkers (BIOMAK), Austria.
Benjamin Spurny-DworakDepartment of Psychiatry and Psychotherapy, Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Austria.
Siegfried TrattnigHigh Field MR Center, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Lazarettgasse 14, Vienna A-1090, Austria; Institute for Clinical Molecular MRI, Karl Landsteiner Society, Pölten 3100St, Austria.
Thomas SchererDepartment of Medicine III, Division of Endocrinology and Metabolism, Medical University of Vienna, Austria.
Rupert LanzenbergerDepartment of Psychiatry and Psychotherapy, Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Austria.
Wolfgang BognerHigh Field MR Center, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Lazarettgasse 14, Vienna A-1090, Austria; Christian Doppler Laboratory for MR Imaging Biomarkers (BIOMAK), Austria.
Medical University of Vienna · ATChristian Doppler Laboratory for Thermoelectricity · ATKarl Landsteiner Society · AT

Funding

Novel 10.5 T deuterium-based MRS/I method to measure brain metabolismR01EB031787 · NIBIB · UNIVERSITY OF MINNESOTA · PI Wolfgang Bogner, Malgorzata Marjanska · 2022 to 2026
$2.2M
NIBIB NIH HHS R01 EB031787
6 · The paper itself

Abstract

introductionDeuterium metabolic imaging (DMI) and quantitative exchange label turnover (QELT) are novel MR spectroscopy techniques for non-invasive imaging of human brain glucose and neurotransmitter metabolism with high clinical potential. Following oral or intravenous administration of non-ionizing [6,6'-

methodsFive volunteers (4 m/1f) were scanned in repeated sessions for 60 min after overnight fasting and 0.8 g/kg oral [6,6'-

resultsOne hour after oral tracer administration regionally averaged deuterium labeled Glx

conclusionThis study demonstrates that indirect detection of deuterium labeled compounds using

Indexed as

BrainMagnetic Resonance ImagingDeuteriumGlucoseHumansReproducibility of ResultsDeuteriumGlucoseDeuterium labeled glucose, Clinical 3TDeuterium metabolic imagingMR spectroscopyQuantitative exchange label turnover

Identifiers

PMID37414233
PMCPMC11019874
OpenAlexW4383092837

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.