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.
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.
Authors: Bharathi D Jagadeesan; Josser E Delgado Almandoz; Tammie L S Benzinger; Christopher J Moran Journal: Stroke Date: 2011-09-22 Impact factor: 7.914
Authors: Bharathi D Jagadeesan; Josser E Delgado Almandoz; Christopher J Moran; Tammie L S Benzinger Journal: Stroke Date: 2010-11-18 Impact factor: 7.914
Authors: Dariusch R Hadizadeh; Marcus von Falkenhausen; Jürgen Gieseke; Bernhard Meyer; Horst Urbach; Romhild Hoogeveen; Hans H Schild; Winfried A Willinek Journal: Radiology Date: 2007-10-19 Impact factor: 11.105
Authors: Chun-Xue Wu; Li Ma; Xu-Zhu Chen; Xiao-Lin Chen; Yu Chen; Yuan-Li Zhao; Christopher Hess; Helen Kim; Heng-Wei Jin; Jun Ma Journal: World Neurosurg Date: 2018-05-30 Impact factor: 2.104