Evidence map›Paper›PMID 40085076›Full record

ArticleInvestigative radiology2026

Deuterium Metabolic Imaging of the Human Abdomen at Clinical Field Strength.

Pascal Wodtke, Mary A McLean, Ines Horvat-Menih, Jonathan R Birchall, Maria J Zamora-Morales, Ashley Grimmer, Elizabeth Latimer, Marta Wylot, Rolf F Schulte, Ferdia A Gallagher

Abstract read
In one paragraph

Article in Investigative radiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Assessment of TMagma (New York, N.Y.) · 2026
    Article
  3. Review
  4. Review
  5. Combining DMI and [European radiology experimental · 2026
    Article
  6. Article
  7. Article
  8. Review
  9. Article
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.

Pascal WodtkeDepartment of Radiology, University of Cambridge, Cambridge, UK (P.W., M.A.M., I.H.-M., J.R.B., M.J.Z.-M., A.G., E.L., M.W., F.A.G.); University of Cambridge, Cancer Research UK Cambridge Institute, Cambridge, UK (M.A.M., F.A.G.); and GE HealthCare, Munich, Germany (R.F.S.).ORCID 0000-0002-6109-4261
Mary A McLean
Ines Horvat-Menih
Jonathan R Birchall
Maria J Zamora-Morales
Ashley Grimmer
Elizabeth Latimer
Marta Wylot
Rolf F Schulte
Ferdia A GallagherORCID 0000-0003-4784-5230

Funding

Wellcome Trust
6 · The paper itself

Abstract

objectivesThe aim of the study was to translate abdominal deuterium metabolic imaging (DMI) to clinical field strength by optimizing the radiofrequency coil setup, the administered dose of deuterium ( 2 H)-labeled glucose, and the data processing pipeline for quantitative characterization of DMI signals over time. This was assessed in the kidney and liver to establish a basis for routine clinical studies in the future. MATERIALS AND

methods5 healthy volunteers were recruited and imaged on 2 or 3 separate occasions, with varying doses of 2 H-glucose: 0.75 g/kg (high dose), 0.50 g/kg (medium dose), and 0.25 g/kg (low dose), resulting in a total of 13 DMI scan sessions. DMI was performed at 3 T using a flexible 20 × 30 cm 2 2 H-tuned transmit-receive surface coil. For quantitative comparisons across scans, the 2 H-glucose signal was normalized against the sum of 2 H-glucose and 2 H-water (GGW ratio). To quantify the time course of GGW, 3 novel metrics of metabolism were defined and compared between doses and organs: the maximum value across the time course (GGW max ), the sum over the whole time course (GGW AUC ), and the average signal across a defined plateau (GGW mean plateau ). The 2 H-lipid signal overlaps with 2 H-lactate; hence, the 2 signals were measured as the combined 2 H-lipid+lactate signal.

resultsThe careful positioning of a dedicated surface coil minimized unwanted gastric signals while maintaining excellent hepatic and renal measurements. The time courses derived from the liver and kidney were reproducible and comparable across different doses, showing the potential for dose reduction. The signal from the liver plateaued at approximately 30 minutes, and that from the kidney at approximately 40 minutes. The liver exhibited higher quantitative values for 2 H-glucose uptake compared to the kidney, a trend consistent across all 3 quantitative metrics and doses, for example, for the highest dose: GGW AUC liver  = 31 ± 3; GGW AUC kidney  = 27 ± 3; P  = 0.05. A trend toward lower quantitative measurements with decreasing dose was observed: this was significant between the high and the low dose for all 3 parameters and between the medium and low dose for GGW mean plateau and GGW AUC , but was not significant between the high and the medium dose for any of the 3 parameters. The hepatic 2 H-lipid+lactate signal increased over 70-90 minutes in 12/13 cases (mean: 39 ± 24%), while the renal lipid+lactate signal increased in only 8/13 cases (mean: 5 ± 17%). The hepatic 2 H-water signal increased in all 13 cases (mean: 18 ± 10%), and the renal 2 H-water signal increased in only 10/13 cases (mean: 10 ± 13%).

conclusionsDMI of the human abdomen is feasible using a clinical magnetic resonance imaging system and the signal changes measured in the kidney and liver can serve as a reference for future clinical studies. The 2 H-glucose dose can be reduced from 0.75 to 0.50 g/kg to minimize gastric signal without substantially affecting the reliability of organ quantification. The increase in 2 H-lipid+lactate or 2 H-water signal over time could serve as direct and indirect measures of metabolism, respectively.

Indexed as

AbdomenDeuteriumGlucoseKidneyLiverMagnetic Resonance ImagingAdultFemaleHumansMaleReproducibility of ResultsSensitivity and SpecificityDeuteriumGlucoseabdomendeuteriumDMIkidneylivermetabolic imagingmolecular imagingspectroscopy

Identifiers

PMID40085076
PMCPMC12662132

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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.