Evidence map›Paper›PMID 26284778›Full record

ArticlePloS one2015

A Novel Multiparametric Approach to 3D Quantitative MRI of the Brain.

Giuseppe Palma, Enrico Tedeschi, Pasquale Borrelli, Sirio Cocozza, Carmela Russo, Saifeng Liu, Yongquan Ye, Marco Comerci, Bruno Alfano, Marco Salvatore and 2 more

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
  2. Review
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  12. Medical physics challenges in clinical MR-guided radiotherapy.Radiation oncology (London, England) · 2020
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Longitudinal Assessment of Dentate Nuclei Relaxometry during Massive Gadobutrol Exposure.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2018
    Article
  19. Article
  20. Redefining the Pulvinar Sign in Fabry Disease.AJNR. American journal of neuroradiology · 2017
    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

12 authors.

Giuseppe PalmaInstitute of Biostructure and Bioimaging, National Research Council, Naples, Italy.
Enrico TedeschiDepartment of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy.
Pasquale BorrelliIRCCS SDN, Naples, Italy.
Sirio CocozzaDepartment of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy.
Carmela RussoDepartment of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy.
Saifeng LiuThe MRI Institute for Biomedical Research, Waterloo, ON, Canada.
Yongquan YeDepartment of Radiology, Wayne State University, Detroit, MI, United States of America.
Marco ComerciInstitute of Biostructure and Bioimaging, National Research Council, Naples, Italy.
Bruno AlfanoInstitute of Biostructure and Bioimaging, National Research Council, Naples, Italy.
Marco SalvatoreIRCCS SDN, Naples, Italy.
E Mark HaackeDepartment of Radiology, Wayne State University, Detroit, MI, United States of America; The MRI Institute for Biomedical Research, Detroit, MI, United States of America.
Marcello ManciniInstitute of Biostructure and Bioimaging, National Research Council, Naples, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Magnetic Resonance properties of tissues can be quantified in several respects: relaxation processes, density of imaged nuclei, magnetism of environmental molecules, etc. In this paper, we propose a new comprehensive approach to obtain 3D high resolution quantitative maps of arbitrary body districts, mainly focusing on the brain. The theory presented makes it possible to map longitudinal (R1), pure transverse (R2) and free induction decay ([Formula: see text]) rates, along with proton density (PD) and magnetic susceptibility (χ), from a set of fast acquisition sequences in steady-state that are highly insensitive to flow phenomena. A novel denoising scheme is described and applied to the acquired datasets to enhance the signal to noise ratio of the derived maps and an information theory approach compensates for biases from radio frequency (RF) inhomogeneities, if no direct measure of the RF field is available. Finally, the results obtained on sample brain scans of healthy controls and multiple sclerosis patients are presented and discussed.

Indexed as

AlgorithmsAdultBrainFeasibility StudiesFemaleHumansImaging, Three-DimensionalMagnetic Resonance ImagingMiddle AgedMultiple Sclerosis, Relapsing-RemittingSignal-To-Noise Ratio

Identifiers

PMID26284778
PMCPMC4540440

What OpenQuestion holds

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LicenceCC BY
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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.