Evidence map›Paper›PMID 30039352›Full record

ArticleClinical neuroradiology2019

Improved Brachial Plexus Visualization Using an Adiabatic iMSDE-Prepared STIR 3D TSE.

Elisabeth Klupp, Barbara Cervantes, Nico Sollmann, Franziska Treibel, Dominik Weidlich, Thomas Baum, Ernst J Rummeny, Claus Zimmer, Jan S Kirschke, Dimitrios C Karampinos

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In one paragraph

Article in Clinical neuroradiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

18 citing papers in PubMed, 48 citations in OpenAlex.

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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 at 1 institution in 1 country.

Elisabeth KluppDepartment of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany. elisabeth.klupp@tum.de.ORCID http://orcid.org/0000-0003-2098-0504
Barbara CervantesDepartment of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany.
Nico SollmannDepartment of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany.
Franziska TreibelDepartment of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany.
Dominik WeidlichDepartment of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany.
Thomas BaumDepartment of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany.
Ernst J RummenyDepartment of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany.
Claus ZimmerDepartment of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany.
Jan S KirschkeDepartment of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany.
Dimitrios C KarampinosDepartment of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany.
TUM Klinikum · DE

Funding

European Research Council ERC-StG 2014 iBack
6 · The paper itself

Abstract

purposeThe close proximity of blood vessels to the brachial plexus nerves can confound nerve visualization in conventional fat-suppressed 3D T2-weighted sequences. Vessel suppression can be accomplished by means of motion-sensitizing preparation. The aim of this study was to qualitatively and semi-quantitatively evaluate short tau inversion recovery (STIR) 3D turbo spin echo (TSE) in conjunction with an adiabatic T2 preparation incorporating motion sensitization for magnetic resonance neurography (MRN) of the brachial plexus in a clinical routine setting.

methodsThe MRN of the brachial plexus was performed in 22 patients (age 45.5 ± 20.3 years) with different clinical implications using the proposed improved motion-sensitized driven equilibrium (iMSDE) STIR 3D TSE and the STIR 3D TSE. Images were evaluated regarding image quality, overall artifacts, artifacts caused by vessel signal, signal homogeneity, visibility of small nerves and signal contrast. Furthermore, signal-to-noise ratios (aSNR), nerve muscle contrast to noise ratios (aNMCNR) and nerve vessel contrast to noise ratios (aNVCNR) were calculated and compared.

resultsThe incorporation of motion sensitization in the T2 preparation resulted in robust blood suppression across subjects, leading to significantly higher aNVCNRs (p < 0.001) and aNMCNRs (p < 0.05), increased conspicuousness of the nerves, better vessel suppression and image quality and less artifacts compared with STIR 3D TSE (p < 0.001).

conclusionThe incorporation of the proposed adiabatic iMSDE-based motion sensitization was shown to provide robust blood suppression of vessels in close proximity to brachial plexus nerves. The use of STIR iMSDE 3D TSE can be considered for clinical MRN examinations of the brachial plexus.

Indexed as

AdolescentAdultAgedAged, 80 and overArtifactsBrachial PlexusFemaleHumansImage EnhancementImage Interpretation, Computer-AssistedImaging, Three-DimensionalMagnetic Resonance ImagingMaleMiddle AgedMotionYoung Adult3-D ImagingBrachial plexusFat suppressionMR neurographyVessel suppression

Identifiers

PMID30039352
OpenAlexW2883152904

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.