Evidence map›Paper›PMID 41579265›Full record

ReviewMagma (New York, N.Y.)2026

Advanced methods in deuterium metabolic imaging.

Fabian Niess, Bernhard Strasser, Bernard Lanz, Wolfgang Bogner

Abstract readReview
In one paragraph

Review in Magma (New York, N.Y.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

4 authors.

Fabian NiessHigh-Field MR Center, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Lazarettgasse 14, 1090, Vienna, Austria. fabian.niess@meduniwien.ac.at.ORCID http://orcid.org/0000-0003-1235-7595
Bernhard StrasserHigh-Field MR Center, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Lazarettgasse 14, 1090, Vienna, Austria.
Bernard LanzCIBM Center for Biomedical Imaging, Lausanne, Switzerland.
Wolfgang BognerHigh-Field MR Center, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Lazarettgasse 14, 1090, Vienna, Austria.

Funding

Austrian Science Fund I6037-NAustrian Science Fund KLI1106Christian Doppler Forschungsgesellschaft BIOMAKEuropean Research Council 101088351Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung 207935
6 · The paper itself

Abstract

backgroundDeuterium metabolic imaging (DMI) has recently been established as a versatile MR-based technique for in vivo mapping of glucose and other metabolic pathways using safe, non-ionizing

objectiveIn this review, methodological advances in DMI over the past decade are summarized, spanning hardware, acquisition, reconstruction, and quantification. APPROACH AND OUTLINE: Developments in multinuclear system modifications and dual-tuned head and body coils that enable 3D DMI at clinical and ultra-high field strengths are outlined. Efficient spatial-spectral encoding strategies and balanced steady-state-free-precession-based MRSI, which improve SNR efficiency and spatiotemporal resolution, are reviewed together with temporally interleaved OUTLOOK: Current strategies for concentration estimation, kinetic modeling, and treatment of label loss are discussed, positioning DMI as a promising complement to FDG-PET and

Indexed as

DeuteriumMagnetic Resonance ImagingAnimalsGlucoseHumansImage Processing, Computer-AssistedMagnetic Resonance SpectroscopyPositron-Emission TomographySignal-To-Noise RatioDeuteriumGlucoseDeuterium-labeled tracersDeuterium metabolic imagingKinetic modelingMetabolic mappingMultinuclear MR spectroscopy

Identifiers

PMID41579265
PMCPMC13354637

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.