Evidence map›Paper›PMID 39125569›Full record

ArticleDiagnostics (Basel, Switzerland)2024

Compressed SENSitivity Encoding (SENSE): Qualitative and Quantitative Analysis.

Eliseo Picchi, Silvia Minosse, Noemi Pucci, Francesca Di Pietro, Maria Lina Serio, Valentina Ferrazzoli, Valerio Da Ros, Raffaella Giocondo, Francesco Garaci, Francesca Di Giuliano

Abstract read
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In one paragraph

Article in Diagnostics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

10 authors.

Eliseo PicchiDepartment of System Medicine, University of Rome Tor Vergata, Via Montpellier 1, 00133 Rome, Italy.
Silvia MinosseDiagnostic Imaging Unit, University Hospital Tor Vergata, Viale Oxford 81, 00133 Rome, Italy.ORCID 0000-0002-9921-6287
Noemi PucciDiagnostic Imaging Unit, University Hospital Tor Vergata, Viale Oxford 81, 00133 Rome, Italy.
Francesca Di PietroDiagnostic Imaging Unit, University Hospital Tor Vergata, Viale Oxford 81, 00133 Rome, Italy.
Maria Lina SerioDiagnostic Imaging Unit, University Hospital Tor Vergata, Viale Oxford 81, 00133 Rome, Italy.
Valentina FerrazzoliDepartment of Biomedicine and Prevention, University of Rome Tor Vergata, Viale Montpellier 1, 00133 Rome, Italy.
Valerio Da RosDiagnostic Imaging Unit, University Hospital Tor Vergata, Viale Oxford 81, 00133 Rome, Italy.ORCID 0000-0001-7167-7594
Raffaella GiocondoDepartment of Biomedicine and Prevention, University of Rome Tor Vergata, Viale Montpellier 1, 00133 Rome, Italy.
Francesco GaraciDiagnostic Imaging Unit, University Hospital Tor Vergata, Viale Oxford 81, 00133 Rome, Italy.
Francesca Di GiulianoDepartment of Biomedicine and Prevention, University of Rome Tor Vergata, Viale Montpellier 1, 00133 Rome, Italy.ORCID 0000-0002-6067-183X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to qualitatively and quantitatively evaluate T1-TSE, T2-TSE and 3D FLAIR sequences obtained with and without Compressed-SENSE technique by assessing the contrast (C), the contrast-to-noise ratio (CNR) and the signal-to-noise ratio (SNR).

methodsA total of 142 MRI images were acquired: 69 with Compressed-SENSE and 73 without Compressed-SENSE. All the MRI images were contoured, spatially aligned and co-registered using 3D Slicer Software. Two radiologists manually drew 12 regions of interests on three different structures of CNS: white matter (WM), grey matter (GM) and cerebrospinal fluid (CSF).

resultsC values were significantly higher in Compressed-SENSE T1-TSE compared to No Compressed-SENSE T1-TSE for three different structures of the CNS. C values were also significantly lower for Compressed-SENSE 3D FLAIR and Compressed-SENSE T2-TSE compared to the corresponding No Compressed-SENSE scans. While CNR values did not significantly differ in GM-WM between Compressed-SENSE and No Compressed-SENSE for the 3D FLAIR and T1-TSE sequences, the differences in GM-CSF and WM-CSF were always statistically significant.

conclusionCompressed-SENSE for 3D T2 FLAIR, T1w and T2w sequences enables faster MRI acquisition, reducing scan time and maintaining equivalent image quality. Compressed-SENSE is very useful in specific medical conditions where lower SAR levels are required without sacrificing the acquisition of helpful diagnostic sequences.

Indexed as

compressed SENSEcompressed sensing-sensitivity encoding (compressed-SENSE)MRI

Identifiers

PMID39125569
PMCPMC11311492

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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.