Evidence map›Paper›PMID 40923708›Full record

ArticleNMR in biomedicine2025

Feasibility of High-Resolution Deuterium Metabolic Imaging of the Human Kidney Using Concentric Ring Trajectory Sampling at 7T.

Fabian Niess, Bernhard Strasser, Lukas Hingerl, Johannes J Kovarik, Viola Bader, Sabina Frese, Anna Duguid, Aaron Osburg, Eva Niess, Stanislav Motyka and 3 more

Abstract read
In one paragraph

Article in NMR in biomedicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Assessment of TMagma (New York, N.Y.) · 2026
    Article
  2. Review
  3. Review
  4. 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

13 authors.

Fabian NiessHigh-Field MR Center, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0003-1235-7595
Bernhard StrasserHigh-Field MR Center, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.
Lukas HingerlHigh-Field MR Center, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.
Johannes J KovarikClinical Division of Internal Medicine III Department of Nephrology and Dialysis, Medical University of Vienna, Vienna, Austria.
Viola BaderHigh-Field MR Center, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.ORCID https://orcid.org/0009-0004-2393-9579
Sabina FreseHigh-Field MR Center, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.
Anna DuguidHigh-Field MR Center, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.
Aaron OsburgHigh-Field MR Center, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.
Eva NiessHigh-Field MR Center, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0001-9956-1470
Stanislav MotykaHigh-Field MR Center, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0002-6314-316X
Martin KrššákClinical Division of Internal Medicine III Department of Endocrinology and Metabolism, Medical University of Vienna, Vienna, Austria.
Thomas SchererClinical Division of Internal Medicine III Department of Endocrinology and Metabolism, Medical University of Vienna, Vienna, Austria.
Wolfgang BognerHigh-Field MR Center, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0002-0130-3463

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
Austrian Science Fund KLI 1106Austrian Science Fund WEAVE I 6037Christian Doppler LabEuropean Commission 101088351NIH HHS R01EB031787
6 · The paper itself

Abstract

The human kidneys play a pivotal role in regulating blood pressure, water, and salt homeostasis, but assessment of renal function typically requires invasive methods. Deuterium metabolic imaging (DMI) is a novel, noninvasive technique for mapping tissue-specific uptake and metabolism of deuterium-labeled tracers. This study evaluates the feasibility of renal DMI at 7-Tesla (7T) to track deuterium-labeled tracers with high spatial and temporal resolution, aiming to establish a foundation for potential clinical applications in the noninvasive investigation of renal physiology and pathophysiology. Five healthy participants (3 m/2f) underwent renal DMI at 7T using MR spectroscopic imaging with concentric ring trajectory sampling. Two subjects participated in dynamic DMI experiments after oral administration of deuterium-labeled water (D

Indexed as

DeuteriumKidneyMagnetic Resonance ImagingAdultFeasibility StudiesFemaleGlucoseHumansMaleDeuteriumGlucose3D magnetic resonance spectroscopic imagingdeuterium labeled glucosedeuterium labeled waterdeuterium metabolic imagingDMIkidney imaging

Identifiers

PMID40923708
PMCPMC12418914

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.