Evidence map›Paper›PMID 31782035›Full record

ArticleMagma (New York, N.Y.)2020

Comparison between synthetic and conventional magnetic resonance imaging in patients with multiple sclerosis and controls.

Francesca Di Giuliano, Silvia Minosse, Eliseo Picchi, Girolama Alessandra Marfia, Valerio Da Ros, Massimo Muto, Mario Muto, Chiara Adriana Pistolese, Andrea Laghi, Francesco Garaci and 1 more

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Magma (New York, N.Y.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
0.8field-weighted citation impact, top 29% of its field
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

14 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Evaluating T1, T2 Relaxation, and Proton Density in Normal Brain Using Synthetic MRI with Fast Imaging Protocol.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2024
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  8. Structural and functional imaging of brains.Science China. Chemistry · 2023
    Review
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  14. 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

11 authors at 4 institutions in 1 country.

Francesca Di GiulianoDepartment of Biomedicine and Prevention, University of Rome "Tor Vergata", Viale Oxford 81, 00133, Rome, Italy.
Silvia MinosseDepartment of Biomedicine and Prevention, University of Rome "Tor Vergata", Viale Oxford 81, 00133, Rome, Italy. silvia.minosse@libero.it.ORCID http://orcid.org/0000-0002-9921-6287
Eliseo PicchiDepartment of Biomedicine and Prevention, University of Rome "Tor Vergata", Viale Oxford 81, 00133, Rome, Italy.
Girolama Alessandra MarfiaMultiple Sclerosis Clinical and Research Unit, Department of Systems Medicine, University of Rome "Tor Vergata", Viale Oxford 81, 00133, Rome, Italy.
Valerio Da RosDepartment of Diagnostic Imaging and Interventional Radiology, Policlinico Tor Vergata, Viale Oxford 81, 00133, Rome, Italy.
Massimo MutoDepartment of Neurosciences and Reproductive and Odontostomatological Sciences, University of Naples Federico II, 80100, Naples, Italy.
Mario MutoDepartment of Neuroradiology, A.O.R.N. Cardarelli, 80100, Naples, Italy.
Chiara Adriana PistoleseDepartment of Biomedicine and Prevention, University of Rome "Tor Vergata", Viale Oxford 81, 00133, Rome, Italy.
Andrea LaghiDepartment of Surgical and Medical Sciences and Translational Medicine, Radiology Unit, "Sapienza" University of Rome, Sant'Andrea University Hospital, Via di Grottarossa, 1035-1039, 00189, Rome, Italy.
Francesco GaraciDepartment of Biomedicine and Prevention, University of Rome "Tor Vergata", Viale Oxford 81, 00133, Rome, Italy.
Roberto FlorisDepartment of Biomedicine and Prevention, University of Rome "Tor Vergata", Viale Oxford 81, 00133, Rome, Italy.
University of Rome Tor Vergata · ITOspedale Antonio Cardarelli · ITPoliclinico Tor Vergata · ITSapienza University of Rome · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesSynthetic magnetic resonance imaging (SyMRI) allows to obtain different weighted-images using the multiple-dynamic multiple-echo sequence lasting 6 min. The aim is to compare quantitatively and qualitatively synthetic- and conventional MRI in patients with multiple sclerosis (MS) and controls assessing the contrast (C), the signal to noise ratio (SNR), and the contrast to noise ratio (CNR). We evaluated the lesion count and lesion-to-white matter contrast ([Formula: see text] in the MS patients. METHODS AND

methods51 patients underwent synthetic- and conventional MRI. Qualitative analysis was evaluated by assigning scores to all synthetic- and conventional MRI sequences by two neuroradiologists. Lesions were counted in MS patients both in the conventional- and synthetic T2-FLAIR. Regions of interest were placed in the cerebrospinal fluid, in the white- and grey matter. For the sequences were evaluated: C, CNR, and SNR.

resultsSynthetic T2-FLAIR images are qualitatively inferior. C and CNR were significantly higher in synthetic T1W and T2W images compared to conventional images, but not for T2-FLAIR. The SNR value was always lower in synthetic images than in conventional ones.

conclusionsSyMRI can be used in clinical practice because it has a similar diagnostic accuracy which reduces the scanning time compared to the conventional one. However, synthetic T2-FLAIR images need to be improved.

Indexed as

Signal-To-Noise RatioAdultAgedAged, 80 and overBrainContrast MediaFemaleHumansImage EnhancementImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleMiddle AgedMultiple SclerosisProspective StudiesWhite MatterContrast MediaBrainMagnetic resonance imagingMultiple sclerosisSynthetic magnetic resonance imaging

Identifiers

PMID31782035
OpenAlexW2990336351

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.