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


Journal

Clinical neuroradiology
ISSN: 1869-1447
Titre abrégé: Clin Neuroradiol
Pays: Germany
ID NLM: 101526693

Informations de publication

Date de publication:
Mar 2021
Historique:
received: 25 05 2019
accepted: 04 12 2019
pubmed: 20 12 2019
medline: 6 11 2021
entrez: 20 12 2019
Statut: ppublish

Résumé

In 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. An 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. In 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. High-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.

Sections du résumé

BACKGROUND AND PURPOSE OBJECTIVE
In 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.
METHODS METHODS
An 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.
RESULTS RESULTS
In 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.
CONCLUSION CONCLUSIONS
High-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.

Identifiants

pubmed: 31853612
doi: 10.1007/s00062-019-00867-0
pii: 10.1007/s00062-019-00867-0
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

207-216

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Auteurs

Konstanze Guggenberger (K)

Department of Diagnostic and Interventional Radiology, University Hospital Würzburg, Oberdürrbacher Straße 6, 97080, Würzburg, Germany. Guggenberg_K@ukw.de.

Axel Joachim Krafft (AJ)

Department of Radiology, Medical Physics, Medical Center-University of Freiburg, Freiburg, Germany.

Ute Ludwig (U)

Department of Radiology, Medical Physics, Medical Center-University of Freiburg, Freiburg, Germany.

Patrick Vogel (P)

Department of Diagnostic and Interventional Radiology, University Hospital Würzburg, Oberdürrbacher Straße 6, 97080, Würzburg, Germany.

Samer Elsheik (S)

Department of Neuroradiology, Medical Center-University of Freiburg, Breisacher Straße 64, 79106, Freiburg, Germany.

Esther Raithel (E)

Siemens Healthcare GmbH, Erlangen, Germany.

Christoph Forman (C)

Siemens Healthcare GmbH, Erlangen, Germany.

Philippe Dovi-Akué (P)

Department of Neuroradiology, Medical Center-University of Freiburg, Breisacher Straße 64, 79106, Freiburg, Germany.

Horst Urbach (H)

Department of Neuroradiology, Medical Center-University of Freiburg, Breisacher Straße 64, 79106, Freiburg, Germany.

Thorsten Bley (T)

Department of Diagnostic and Interventional Radiology, University Hospital Würzburg, Oberdürrbacher Straße 6, 97080, Würzburg, Germany.

Stephan Meckel (S)

Department of Neuroradiology, Medical Center-University of Freiburg, Breisacher Straße 64, 79106, Freiburg, Germany.

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