Evidence map›Paper›PMID 39058248›Full record

ArticleJournal of magnetic resonance imaging : JMRI2025

Human Brain Deuterium Metabolic Imaging at 7 T: Impact of Different [6,6'-

Narjes Ahmadian, Maaike M Konig, Sigrid Otto, Kiki Tesselaar, Pieter van Eijsden, Mark Gosselink, Ayhan Gursan, Dennis W Klomp, Jeanine J Prompers, Evita C Wiegers

Abstract read
In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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.

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

11 citing papers in PubMed.

  1. Review
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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

10 authors.

Narjes AhmadianCenter for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands.ORCID https://orcid.org/0009-0004-2072-031X
Maaike M KonigCenter for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands.
Sigrid OttoCTI Lab Support, University Medical Center Utrecht, Utrecht, The Netherlands.
Kiki TesselaarCTI Lab Support, University Medical Center Utrecht, Utrecht, The Netherlands.
Pieter van EijsdenNeurosurgery, University Medical Center Utrecht, Utrecht, The Netherlands.
Mark GosselinkCenter for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands.
Ayhan GursanCenter for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands.
Dennis W KlompCenter for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands.
Jeanine J PrompersCenter for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands.
Evita C WiegersCenter for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands.

Funding

European Innovation Council (EIC), European commision NWO-VENI 18144-Wiegers
6 · The paper itself

Abstract

backgroundDeuterium metabolic imaging (DMI) is an innovative, noninvasive metabolic MR imaging method conducted after administration of PURPOSE: To investigate three different [6,6'- STUDY TYPE: Prospective. POPULATION: Six healthy participants (age: 28 ± 8 years, male/female: 3/3). FIELD STRENGTH/SEQUENCE: 7 T, 3D ASSESSMENT: Three subjects received two different doses (0.25 g/kg, 0.50 g/kg or 0.75 g/kg body weight) of [6,6'- STATISTICAL TEST: Mean plasma

resultsBetween 60 and 100 minutes after ingesting [6,6'- DATA

conclusionBrain EVIDENCE LEVEL: 1 TECHNICAL EFFICACY: Stage 2.

Indexed as

BrainDeuteriumGlucoseMagnetic Resonance ImagingAdultBlood GlucoseDose-Response Relationship, DrugFemaleHumansMagnetic Resonance SpectroscopyMaleProspective StudiesYoung AdultBlood GlucoseDeuteriumGlucose7 T MRIbrain metabolismdeuterium metabolic imaging

Identifiers

PMID39058248
PMCPMC11803682

What OpenQuestion holds

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LicenceCC BY-NC
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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.