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Published in: European Radiology 2/2012

01-02-2012 | Neuro

Detection and grading of dAVF: prospects and limitations of 3T MRI

Authors: Andrea Bink, Joachim Berkefeld, Marlies Wagner, Se-Jong You, Hanns Ackermann, Matthias W. Lorenz, Christian Senft, Richard du Mesnil de Rochemont

Published in: European Radiology | Issue 2/2012

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Abstract

Objectives

DSA is currently the criterion standard for the assessment of dural arteriovenous fistulas (dAVF). Recently, evolving MRA techniques have emerged as a non-invasive alternative. The aim of this study is to assess the value of 3 T MRI in detecting and describing dAVF and to determine whether MRI can replace DSA as diagnostic procedure.

Methods

A total of 19 patients with dAVF and 19 without dAVF underwent the same MRI protocol, including 3D time-of-flight MRA and time-resolved contrast-enhanced MRA. The images were evaluated retrospectively by three independent readers with different levels of experience blinded to clinical information. The readers assessed the presence, the site, the venous drainage and the feeders of dAVF. Sensitivity, specificity, accuracy, intertechnique and interobserver agreements were calculated.

Results

DAVF can be detected with high sensitivity, specificity and accuracy by experienced and also by less experienced readers. However, MRI has limitations when used for grading and evaluation of the angioarchitecture of the dAVF. Different experience, the limited resolution of MRI and its inability to selectively display arteries were the reasons for these limitations.

Conclusions

With MRI dAVF can be detected reliably. Nevertheless, at present MRI can not fully replace DSA, especially for treatment planning.
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Metadata
Title
Detection and grading of dAVF: prospects and limitations of 3T MRI
Authors
Andrea Bink
Joachim Berkefeld
Marlies Wagner
Se-Jong You
Hanns Ackermann
Matthias W. Lorenz
Christian Senft
Richard du Mesnil de Rochemont
Publication date
01-02-2012
Publisher
Springer-Verlag
Published in
European Radiology / Issue 2/2012
Print ISSN: 0938-7994
Electronic ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-011-2268-2

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