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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 |
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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 |
format | article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1317851374</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2919009661</sourcerecordid><originalsourceid>FETCH-LOGICAL-c372t-3cf84a5587f1f1ee7e4445fefda4cf0279ba705adcf67da47cbc613c1646ed923</originalsourceid><addsrcrecordid>eNp1kU1v3CAQhlHUqtkm_QG5REi99ELLGGzs3qKoX1KkHtqcEYuHXSLWuIAT7b8v202qKlJPjJhnXhg9hFwAfw-cqw-ZcyE449CwphtqcUJWIEXDgPfyBVnxQfRMDYM8Ja9zvuOcDyDVK3LaCADoQa1I_rFki3Pxax982bMH9JttwZGaaePjJpl5u6cuJlq2SEcsaIuPE42ObivIXIgP1E8lGZvM5E2g9ybbJZhEA-ZK5o90Thj8zk8m7Wkuy7g_Jy-dCRnfPJ5n5Pbzp5_XX9nN9y_frq9umBWqKUxY10vTtr1y4ABRoZSydehGI63jjRrWRvHWjNZ1qt4pu7YdCAud7HAcGnFG3h1z5xR_LZiL3vm6bAhmwrhkDQJU34JQsqJvn6F3cUlT_d0fSkLbtodAOFI2xZwTOj0nv6t7aeD6YEQfjehqRB-MaF5nLh-Tl_UOx78TTwoq0ByBXFvTBtM_T_839TcJmpjY</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1317415552</pqid></control><display><type>article</type><title>Susceptibility-weighted angiography for the detection of high-flow intracranial vascular lesions: preliminary study</title><source>Springer Link</source><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</creator><creatorcontrib>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</creatorcontrib><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.</description><identifier>ISSN: 0938-7994</identifier><identifier>EISSN: 1432-1084</identifier><identifier>DOI: 10.1007/s00330-012-2690-0</identifier><identifier>PMID: 23111817</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer-Verlag</publisher><subject>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</subject><ispartof>European radiology, 2013-04, Vol.23 (4), p.1122-1130</ispartof><rights>European Society of Radiology 2012</rights><rights>European Society of Radiology 2013</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c372t-3cf84a5587f1f1ee7e4445fefda4cf0279ba705adcf67da47cbc613c1646ed923</citedby><cites>FETCH-LOGICAL-c372t-3cf84a5587f1f1ee7e4445fefda4cf0279ba705adcf67da47cbc613c1646ed923</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27922,27923</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23111817$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Hodel, Jérôme</creatorcontrib><creatorcontrib>Blanc, Raphaël</creatorcontrib><creatorcontrib>Rodallec, Mathieu</creatorcontrib><creatorcontrib>Guillonnet, Antoine</creatorcontrib><creatorcontrib>Gerber, Sophie</creatorcontrib><creatorcontrib>Pistocchi, Silvia</creatorcontrib><creatorcontrib>Sitta, Rémi</creatorcontrib><creatorcontrib>Rabrait, Cécile</creatorcontrib><creatorcontrib>Zuber, Mathieu</creatorcontrib><creatorcontrib>Pruvo, Jean-Pierre</creatorcontrib><creatorcontrib>Zins, Marc</creatorcontrib><creatorcontrib>Leclerc, Xavier</creatorcontrib><title>Susceptibility-weighted angiography for the detection of high-flow intracranial vascular lesions: preliminary study</title><title>European radiology</title><addtitle>Eur Radiol</addtitle><addtitle>Eur Radiol</addtitle><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.</description><subject>Adult</subject><subject>Aged</subject><subject>Algorithms</subject><subject>Clinical medicine</subject><subject>Diagnostic Radiology</subject><subject>Female</subject><subject>Fistula</subject><subject>Flow velocity</subject><subject>Humans</subject><subject>Image Enhancement - methods</subject><subject>Image Interpretation, Computer-Assisted - methods</subject><subject>Imaging</subject><subject>Internal Medicine</subject><subject>Interventional Radiology</subject><subject>Intracranial Arteriovenous Malformations - pathology</subject><subject>Magnetic Resonance Angiography - methods</subject><subject>Magnetic resonance imaging</subject><subject>Male</subject><subject>Medical imaging</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Middle Aged</subject><subject>Neuro</subject><subject>Neuroradiology</subject><subject>Patients</subject><subject>Pilot Projects</subject><subject>Radiology</subject><subject>Reproducibility of Results</subject><subject>Sensitivity and Specificity</subject><subject>Ultrasound</subject><subject>Veins & arteries</subject><subject>Young Adult</subject><issn>0938-7994</issn><issn>1432-1084</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><recordid>eNp1kU1v3CAQhlHUqtkm_QG5REi99ELLGGzs3qKoX1KkHtqcEYuHXSLWuIAT7b8v202qKlJPjJhnXhg9hFwAfw-cqw-ZcyE449CwphtqcUJWIEXDgPfyBVnxQfRMDYM8Ja9zvuOcDyDVK3LaCADoQa1I_rFki3Pxax982bMH9JttwZGaaePjJpl5u6cuJlq2SEcsaIuPE42ObivIXIgP1E8lGZvM5E2g9ybbJZhEA-ZK5o90Thj8zk8m7Wkuy7g_Jy-dCRnfPJ5n5Pbzp5_XX9nN9y_frq9umBWqKUxY10vTtr1y4ABRoZSydehGI63jjRrWRvHWjNZ1qt4pu7YdCAud7HAcGnFG3h1z5xR_LZiL3vm6bAhmwrhkDQJU34JQsqJvn6F3cUlT_d0fSkLbtodAOFI2xZwTOj0nv6t7aeD6YEQfjehqRB-MaF5nLh-Tl_UOx78TTwoq0ByBXFvTBtM_T_839TcJmpjY</recordid><startdate>20130401</startdate><enddate>20130401</enddate><creator>Hodel, Jérôme</creator><creator>Blanc, Raphaël</creator><creator>Rodallec, Mathieu</creator><creator>Guillonnet, Antoine</creator><creator>Gerber, Sophie</creator><creator>Pistocchi, Silvia</creator><creator>Sitta, Rémi</creator><creator>Rabrait, Cécile</creator><creator>Zuber, Mathieu</creator><creator>Pruvo, Jean-Pierre</creator><creator>Zins, Marc</creator><creator>Leclerc, Xavier</creator><general>Springer-Verlag</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QO</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope></search><sort><creationdate>20130401</creationdate><title>Susceptibility-weighted angiography for the detection of high-flow intracranial vascular lesions: preliminary study</title><author>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</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c372t-3cf84a5587f1f1ee7e4445fefda4cf0279ba705adcf67da47cbc613c1646ed923</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Algorithms</topic><topic>Clinical medicine</topic><topic>Diagnostic Radiology</topic><topic>Female</topic><topic>Fistula</topic><topic>Flow velocity</topic><topic>Humans</topic><topic>Image Enhancement - methods</topic><topic>Image Interpretation, Computer-Assisted - methods</topic><topic>Imaging</topic><topic>Internal Medicine</topic><topic>Interventional Radiology</topic><topic>Intracranial Arteriovenous Malformations - pathology</topic><topic>Magnetic Resonance Angiography - methods</topic><topic>Magnetic resonance imaging</topic><topic>Male</topic><topic>Medical imaging</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Middle Aged</topic><topic>Neuro</topic><topic>Neuroradiology</topic><topic>Patients</topic><topic>Pilot Projects</topic><topic>Radiology</topic><topic>Reproducibility of Results</topic><topic>Sensitivity and Specificity</topic><topic>Ultrasound</topic><topic>Veins & arteries</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hodel, Jérôme</creatorcontrib><creatorcontrib>Blanc, Raphaël</creatorcontrib><creatorcontrib>Rodallec, Mathieu</creatorcontrib><creatorcontrib>Guillonnet, Antoine</creatorcontrib><creatorcontrib>Gerber, Sophie</creatorcontrib><creatorcontrib>Pistocchi, Silvia</creatorcontrib><creatorcontrib>Sitta, Rémi</creatorcontrib><creatorcontrib>Rabrait, Cécile</creatorcontrib><creatorcontrib>Zuber, Mathieu</creatorcontrib><creatorcontrib>Pruvo, Jean-Pierre</creatorcontrib><creatorcontrib>Zins, Marc</creatorcontrib><creatorcontrib>Leclerc, Xavier</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Biotechnology Research Abstracts</collection><collection>Proquest Nursing & Allied Health Source</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biological Science Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><jtitle>European radiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hodel, Jérôme</au><au>Blanc, Raphaël</au><au>Rodallec, Mathieu</au><au>Guillonnet, Antoine</au><au>Gerber, Sophie</au><au>Pistocchi, Silvia</au><au>Sitta, Rémi</au><au>Rabrait, Cécile</au><au>Zuber, Mathieu</au><au>Pruvo, Jean-Pierre</au><au>Zins, Marc</au><au>Leclerc, Xavier</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Susceptibility-weighted angiography for the detection of high-flow intracranial vascular lesions: preliminary study</atitle><jtitle>European radiology</jtitle><stitle>Eur Radiol</stitle><addtitle>Eur Radiol</addtitle><date>2013-04-01</date><risdate>2013</risdate><volume>23</volume><issue>4</issue><spage>1122</spage><epage>1130</epage><pages>1122-1130</pages><issn>0938-7994</issn><eissn>1432-1084</eissn><abstract>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.</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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language | eng |
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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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