Evidence map›Paper›PMID 32792618›Full record

ArticleScientific reports2020

Rapid three-dimensional multiparametric MRI with quantitative transient-state imaging.

Pedro A Gómez, Matteo Cencini, Mohammad Golbabaee, Rolf F Schulte, Carolin Pirkl, Izabela Horvath, Giada Fallo, Luca Peretti, Michela Tosetti, Bjoern H Menze and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Article
  2. Article
  3. "MR Fingerprinting for Imaging Brain Hemodynamics and Oxygenation".Journal of magnetic resonance imaging : JMRI · 2025
    Review
  4. Article
  5. Exploring scenarios for implementing fast quantitative MRI.European journal of radiology open · 2025
    Article
  6. Article
  7. Article
  8. Color-map recommendation for MR relaxometry maps.Magnetic resonance in medicine · 2025
    Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. 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

11 authors.

Pedro A GómezComputer Science, Munich School of Bioengineering, Technical University of Munich, Munich, Germany. pedro.gomez@tum.de.
Matteo CenciniImago7 Foundation, Pisa, Italy.
Mohammad GolbabaeeUniversity of Bath, Bath, UK.
Rolf F SchulteGE Healthcare, Munich, Germany.
Carolin PirklComputer Science, Munich School of Bioengineering, Technical University of Munich, Munich, Germany.
Izabela HorvathComputer Science, Munich School of Bioengineering, Technical University of Munich, Munich, Germany.
Giada FalloUniversity of Pisa, Pisa, Italy.
Luca PerettiUniversity of Pisa, Pisa, Italy.
Michela TosettiImago7 Foundation, Pisa, Italy.
Bjoern H MenzeComputer Science, Munich School of Bioengineering, Technical University of Munich, Munich, Germany.
Guido BuonincontriImago7 Foundation, Pisa, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Novel methods for quantitative, transient-state multiparametric imaging are increasingly being demonstrated for assessment of disease and treatment efficacy. Here, we build on these by assessing the most common Non-Cartesian readout trajectories (2D/3D radials and spirals), demonstrating efficient anti-aliasing with a k-space view-sharing technique, and proposing novel methods for parameter inference with neural networks that incorporate the estimation of proton density. Our results show good agreement with gold standard and phantom references for all readout trajectories at 1.5 T and 3 T. Parameters inferred with the neural network were within 6.58% difference from the parameters inferred with a high-resolution dictionary. Concordance correlation coefficients were above 0.92 and the normalized root mean squared error ranged between 4.2 and 12.7% with respect to gold-standard phantom references for T1 and T2. In vivo acquisitions demonstrate sub-millimetric isotropic resolution in under five minutes with reconstruction and inference times < 7 min. Our 3D quantitative transient-state imaging approach could enable high-resolution multiparametric tissue quantification within clinically acceptable acquisition and reconstruction times.

Identifiers

PMID32792618
PMCPMC7427097

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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.