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Susceptibility-weighted angiography for the detection of high-flow intracranial vascular lesions: preliminary study

Objectives Susceptibility-weighted magnetic resonance imaging (MRI) sequences may demonstrate various signal intensities of draining veins in cases of high-flow vascular malformation (HFVM), including arteriovenous malformation (AVM) and dural arteriovenous fistula (dAVF). Our objective was to evalu...

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Published in:European radiology 2013-04, Vol.23 (4), p.1122-1130
Main Authors: Hodel, Jérôme, Blanc, Raphaël, Rodallec, Mathieu, Guillonnet, Antoine, Gerber, Sophie, Pistocchi, Silvia, Sitta, Rémi, Rabrait, Cécile, Zuber, Mathieu, Pruvo, Jean-Pierre, Zins, Marc, Leclerc, Xavier
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container_title European radiology
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creator Hodel, Jérôme
Blanc, Raphaël
Rodallec, Mathieu
Guillonnet, Antoine
Gerber, Sophie
Pistocchi, Silvia
Sitta, Rémi
Rabrait, Cécile
Zuber, Mathieu
Pruvo, Jean-Pierre
Zins, Marc
Leclerc, Xavier
description Objectives Susceptibility-weighted magnetic resonance imaging (MRI) sequences may demonstrate various signal intensities of draining veins in cases of high-flow vascular malformation (HFVM), including arteriovenous malformation (AVM) and dural arteriovenous fistula (dAVF). Our objective was to evaluate susceptibility-weighted angiography (SWAN) for the detection of HFVM. Methods Fifty-eight consecutive patients with a suspected intracranial vascular malformation were explored with SWAN and post-contrast MRI sequences at 3 T. The diagnosis of slow-flow vascular malformation (SFVM), including developmental venous anomaly (DVA) or brain capillary telangiectasia (BCT), was based on MRI. Patients with suspected HFVM underwent digital subtraction angiography (DSA). SWAN images were analysed by three blinded readers according to a three-point scale of the venous signal. Results Thirty-one patients presented 35 SFVM (26 DVA and 9 BCT) that systematically appeared hypointense on SWAN images. In patients with atypical MRI findings, DSA revealed one patient with an atypical DVA and 26 patients with HFVM (22 AVM and 4 dAVF). SWAN revealed at least one venous hyperintensity in all patients with HFVM. Agreement between readers was excellent. Conclusions SWAN appears reliable for characterising blood flow dynamics in brain veins. In clinical practice, SWAN can routinely rule out HFVM in patients with atypical brain veins. Key Points • Susceptibility - weighted angiography (SWAN) offers new perspectives for detecting intracranial vascular malformations. • SWAN sequence provides non - invasive characterisation of blood flow dynamics. • SWAN can differentiate between high and slow flowing venous blood. • SWAN can routinely rule out high - flow vascular malformations.
doi_str_mv 10.1007/s00330-012-2690-0
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Our objective was to evaluate susceptibility-weighted angiography (SWAN) for the detection of HFVM. Methods Fifty-eight consecutive patients with a suspected intracranial vascular malformation were explored with SWAN and post-contrast MRI sequences at 3 T. The diagnosis of slow-flow vascular malformation (SFVM), including developmental venous anomaly (DVA) or brain capillary telangiectasia (BCT), was based on MRI. Patients with suspected HFVM underwent digital subtraction angiography (DSA). SWAN images were analysed by three blinded readers according to a three-point scale of the venous signal. Results Thirty-one patients presented 35 SFVM (26 DVA and 9 BCT) that systematically appeared hypointense on SWAN images. In patients with atypical MRI findings, DSA revealed one patient with an atypical DVA and 26 patients with HFVM (22 AVM and 4 dAVF). SWAN revealed at least one venous hyperintensity in all patients with HFVM. Agreement between readers was excellent. Conclusions SWAN appears reliable for characterising blood flow dynamics in brain veins. In clinical practice, SWAN can routinely rule out HFVM in patients with atypical brain veins. 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Our objective was to evaluate susceptibility-weighted angiography (SWAN) for the detection of HFVM. Methods Fifty-eight consecutive patients with a suspected intracranial vascular malformation were explored with SWAN and post-contrast MRI sequences at 3 T. The diagnosis of slow-flow vascular malformation (SFVM), including developmental venous anomaly (DVA) or brain capillary telangiectasia (BCT), was based on MRI. Patients with suspected HFVM underwent digital subtraction angiography (DSA). SWAN images were analysed by three blinded readers according to a three-point scale of the venous signal. Results Thirty-one patients presented 35 SFVM (26 DVA and 9 BCT) that systematically appeared hypointense on SWAN images. In patients with atypical MRI findings, DSA revealed one patient with an atypical DVA and 26 patients with HFVM (22 AVM and 4 dAVF). SWAN revealed at least one venous hyperintensity in all patients with HFVM. Agreement between readers was excellent. 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Our objective was to evaluate susceptibility-weighted angiography (SWAN) for the detection of HFVM. Methods Fifty-eight consecutive patients with a suspected intracranial vascular malformation were explored with SWAN and post-contrast MRI sequences at 3 T. The diagnosis of slow-flow vascular malformation (SFVM), including developmental venous anomaly (DVA) or brain capillary telangiectasia (BCT), was based on MRI. Patients with suspected HFVM underwent digital subtraction angiography (DSA). SWAN images were analysed by three blinded readers according to a three-point scale of the venous signal. Results Thirty-one patients presented 35 SFVM (26 DVA and 9 BCT) that systematically appeared hypointense on SWAN images. In patients with atypical MRI findings, DSA revealed one patient with an atypical DVA and 26 patients with HFVM (22 AVM and 4 dAVF). SWAN revealed at least one venous hyperintensity in all patients with HFVM. Agreement between readers was excellent. Conclusions SWAN appears reliable for characterising blood flow dynamics in brain veins. In clinical practice, SWAN can routinely rule out HFVM in patients with atypical brain veins. Key Points • Susceptibility - weighted angiography (SWAN) offers new perspectives for detecting intracranial vascular malformations. • SWAN sequence provides non - invasive characterisation of blood flow dynamics. • SWAN can differentiate between high and slow flowing venous blood. • SWAN can routinely rule out high - flow vascular malformations.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer-Verlag</pub><pmid>23111817</pmid><doi>10.1007/s00330-012-2690-0</doi><tpages>9</tpages></addata></record>
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subjects Adult
Aged
Algorithms
Clinical medicine
Diagnostic Radiology
Female
Fistula
Flow velocity
Humans
Image Enhancement - methods
Image Interpretation, Computer-Assisted - methods
Imaging
Internal Medicine
Interventional Radiology
Intracranial Arteriovenous Malformations - pathology
Magnetic Resonance Angiography - methods
Magnetic resonance imaging
Male
Medical imaging
Medicine
Medicine & Public Health
Middle Aged
Neuro
Neuroradiology
Patients
Pilot Projects
Radiology
Reproducibility of Results
Sensitivity and Specificity
Ultrasound
Veins & arteries
Young Adult
title Susceptibility-weighted angiography for the detection of high-flow intracranial vascular lesions: preliminary study
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