Evidence map›Paper›PMID 31853612›Full record

ArticleClinical neuroradiology2021

High-resolution Compressed-sensing T1 Black-blood MRI : A New Multipurpose Sequence in Vascular Neuroimaging?

Konstanze Guggenberger, Axel Joachim Krafft, Ute Ludwig, Patrick Vogel, Samer Elsheik, Esther Raithel, Christoph Forman, Philippe Dovi-Akué, Horst Urbach, Thorsten Bley and 1 more

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Article in Clinical neuroradiology, 2021. 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
2.6field-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, 31 citations in OpenAlex.

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  15. Characteristics of symptomatic plaque on high-resolution magnetic resonance imaging and its relationship with the occurrence and recurrence of ischemic stroke.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2021
    Review
  16. Article
  17. Vessel wall MR imaging of intracranial atherosclerosis.Cardiovascular diagnosis and therapy · 2020
    Review
  18. 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 at 3 institutions in 1 country.

Konstanze GuggenbergerDepartment of Diagnostic and Interventional Radiology, University Hospital Würzburg, Oberdürrbacher Straße 6, 97080, Würzburg, Germany. Guggenberg_K@ukw.de.ORCID http://orcid.org/0000-0002-4840-0447
Axel Joachim KrafftDepartment of Radiology, Medical Physics, Medical Center-University of Freiburg, Freiburg, Germany.
Ute LudwigDepartment of Radiology, Medical Physics, Medical Center-University of Freiburg, Freiburg, Germany.
Patrick VogelDepartment of Diagnostic and Interventional Radiology, University Hospital Würzburg, Oberdürrbacher Straße 6, 97080, Würzburg, Germany.
Samer ElsheikDepartment of Neuroradiology, Medical Center-University of Freiburg, Breisacher Straße 64, 79106, Freiburg, Germany.
Esther RaithelSiemens Healthcare GmbH, Erlangen, Germany.
Christoph FormanSiemens Healthcare GmbH, Erlangen, Germany.
Philippe Dovi-AkuéDepartment of Neuroradiology, Medical Center-University of Freiburg, Breisacher Straße 64, 79106, Freiburg, Germany.
Horst UrbachDepartment of Neuroradiology, Medical Center-University of Freiburg, Breisacher Straße 64, 79106, Freiburg, Germany.
Thorsten BleyDepartment of Diagnostic and Interventional Radiology, University Hospital Würzburg, Oberdürrbacher Straße 6, 97080, Würzburg, Germany.
Stephan MeckelDepartment of Neuroradiology, Medical Center-University of Freiburg, Breisacher Straße 64, 79106, Freiburg, Germany.
University of Freiburg · DEUniversitätsklinikum Würzburg · DESiemens Healthineers (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeIn vasculopathies of the central nervous system, reliable and timely diagnosis is important against the background of significant morbidity and sequelae in cases of incorrect diagnosis or delayed treatment. Magnetic resonance imaging (MRI) plays a major role in the detection and monitoring of intracranial and extracranial vascular pathologies of different etiologies, in particular for evaluation of the vessel wall in addition to luminal information, thus allowing differentiation between various vasculopathies. Compressed-sensing black-blood MRI combines high image quality with relatively short acquisition time and offers promising potential in the context of neurovascular vessel wall imaging in clinical routine. This case review gives an overview of its application in the diagnosis of various intracranial and extracranial entities.

methodsAn optimized high-resolution compressed-sensing black-blood 3D T1-weighted fast (turbo) spin echo technique (T1 CS-SPACE prototype) precontrast and postcontrast application at 3T was used for the evaluation of various vascular conditions in neuroradiology.

resultsIn this article seven cases of intracranial and extracranial arterial and venous vasculopathies with representative imaging findings in high-resolution compressed-sensing black-blood MRI are presented.

conclusionHigh-resolution 3D T1 CS-SPACE black-blood MRI is capable of imaging various vascular entities in high detail with whole head coverage and low susceptibility for motion artifacts and within acceptable scan times. It represents a highly versatile, non-invasive technique for the visualization and differentiation of a wide variety of neurovascular arterial and venous disorders.

Indexed as

Magnetic Resonance AngiographyNeuroimagingArtifactsHumansImaging, Three-DimensionalMagnetic Resonance ImagingMotionGiant cell arteritisLarge vessel vasculitisMRIVasculitisVessel wall imaging

Identifiers

PMID31853612
OpenAlexW2995085386

What OpenQuestion holds

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Registered trials

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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.