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


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2013-04

AUTHORS

Jérôme Hodel, Raphaël Blanc, Mathieu Rodallec, Antoine Guillonnet, Sophie Gerber, Silvia Pistocchi, Rémi Sitta, Cécile Rabrait, Mathieu Zuber, Jean-Pierre Pruvo, Marc Zins, Xavier Leclerc

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. More... »

PAGES

1122-1130

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00330-012-2690-0

DOI

http://dx.doi.org/10.1007/s00330-012-2690-0

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1000842630

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/23111817


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1109", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Neurosciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adult", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Algorithms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Image Enhancement", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Image Interpretation, Computer-Assisted", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Intracranial Arteriovenous Malformations", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Magnetic Resonance Angiography", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Pilot Projects", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Reproducibility of Results", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sensitivity and Specificity", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Young Adult", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "H\u00f4pital Saint-Joseph", 
          "id": "https://www.grid.ac/institutes/grid.414363.7", 
          "name": [
            "Department of Radiology, H\u00f4pital Saint Joseph, Paris, France", 
            "Department of Neuroradiology, CHRU Roger Salengro, Lille, France", 
            "Service de Radiologie, H\u00f4pital Saint Joseph, 186, rue Raymond Losserand, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hodel", 
        "givenName": "J\u00e9r\u00f4me", 
        "id": "sg:person.01354370734.16", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01354370734.16"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Fondation Ophtalmologique Adolphe de Rothschild", 
          "id": "https://www.grid.ac/institutes/grid.417888.a", 
          "name": [
            "Department of Interventional Neuroradiology, Fondation Ophtalmologique Rothschild, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Blanc", 
        "givenName": "Rapha\u00ebl", 
        "id": "sg:person.01336067165.48", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01336067165.48"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Centre Cardiologique du Nord", 
          "id": "https://www.grid.ac/institutes/grid.417818.3", 
          "name": [
            "Department of Radiology, Centre Cardiologique du Nord, Saint Denis, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rodallec", 
        "givenName": "Mathieu", 
        "id": "sg:person.0677100034.84", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0677100034.84"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "H\u00f4pital Saint-Joseph", 
          "id": "https://www.grid.ac/institutes/grid.414363.7", 
          "name": [
            "Department of Radiology, H\u00f4pital Saint Joseph, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Guillonnet", 
        "givenName": "Antoine", 
        "id": "sg:person.01050163056.00", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01050163056.00"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "H\u00f4pital Saint-Joseph", 
          "id": "https://www.grid.ac/institutes/grid.414363.7", 
          "name": [
            "Department of Radiology, H\u00f4pital Saint Joseph, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gerber", 
        "givenName": "Sophie", 
        "id": "sg:person.01013326434.19", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01013326434.19"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Fondation Ophtalmologique Adolphe de Rothschild", 
          "id": "https://www.grid.ac/institutes/grid.417888.a", 
          "name": [
            "Department of Interventional Neuroradiology, Fondation Ophtalmologique Rothschild, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pistocchi", 
        "givenName": "Silvia", 
        "id": "sg:person.01167360751.87", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01167360751.87"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "D\u00e9l\u00e9gation Paris 11", 
          "id": "https://www.grid.ac/institutes/grid.457369.a", 
          "name": [
            "INSERM, Unit\u00e9 1018, Villejuif, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sitta", 
        "givenName": "R\u00e9mi", 
        "id": "sg:person.01167617607.10", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01167617607.10"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "GE Healthcare, Clinical Science Development Group, Buc, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rabrait", 
        "givenName": "C\u00e9cile", 
        "id": "sg:person.01273065501.40", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01273065501.40"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "H\u00f4pital Saint-Joseph", 
          "id": "https://www.grid.ac/institutes/grid.414363.7", 
          "name": [
            "Department of Neurology, H\u00f4pital Saint Joseph, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zuber", 
        "givenName": "Mathieu", 
        "id": "sg:person.01330501000.98", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01330501000.98"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Department of Neuroradiology, CHRU Roger Salengro, Lille, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pruvo", 
        "givenName": "Jean-Pierre", 
        "id": "sg:person.014245477224.03", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014245477224.03"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "H\u00f4pital Saint-Joseph", 
          "id": "https://www.grid.ac/institutes/grid.414363.7", 
          "name": [
            "Department of Radiology, H\u00f4pital Saint Joseph, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zins", 
        "givenName": "Marc", 
        "id": "sg:person.01360232034.15", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01360232034.15"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Department of Neuroradiology, CHRU Roger Salengro, Lille, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Leclerc", 
        "givenName": "Xavier", 
        "id": "sg:person.01152164361.47", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01152164361.47"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1002/jmri.21833", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001830764"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jmri.21833", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001830764"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/strokeaha.111.623587", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002658631"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/strokeaha.111.623587", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002658631"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3174/ajnr.a2875", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008769443"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3174/ajnr.a1265", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012391871"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiol.2453061684", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016905780"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3174/ajnr.a2231", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019221074"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00234-010-0736-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024022356", 
          "https://doi.org/10.1007/s00234-010-0736-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/strokeaha.110.584862", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027806450"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/strokeaha.110.584862", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027806450"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/mrm.20198", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027912509"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ejrad.2011.02.057", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031728080"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s003300051043", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031907921", 
          "https://doi.org/10.1007/s003300051043"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3174/ajnr.a2893", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032500232"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3174/ajnr.a2777", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042855325"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3174/ajnr.a2457", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044654327"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ana.21754", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047507368"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ana.21754", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047507368"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3174/ajnr.a1400", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053742048"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074881911", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077126072", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077417087", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082947943", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiology.204.1.9205259", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083110229"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiology.205.3.9393538", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083182753"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1083251249", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2013-04", 
    "datePublishedReg": "2013-04-01", 
    "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.\nMETHODS: 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.\nRESULTS: 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.\nCONCLUSIONS: 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.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00330-012-2690-0", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1289120", 
        "issn": [
          "0938-7994", 
          "1432-1084"
        ], 
        "name": "European Radiology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "4", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "23"
      }
    ], 
    "name": "Susceptibility-weighted angiography for the detection of high-flow intracranial vascular lesions: preliminary study", 
    "pagination": "1122-1130", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "04037af71a741d7450c466931f32f85f94495311b1c1efd3775b3785f3a60f8e"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "23111817"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "9114774"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00330-012-2690-0"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1000842630"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00330-012-2690-0", 
      "https://app.dimensions.ai/details/publication/pub.1000842630"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T14:00", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8660_00000479.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/s00330-012-2690-0"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s00330-012-2690-0'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00330-012-2690-0'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00330-012-2690-0'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00330-012-2690-0'


 

This table displays all metadata directly associated to this object as RDF triples.

290 TRIPLES      21 PREDICATES      67 URIs      36 LITERALS      24 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00330-012-2690-0 schema:about N0a78cc4dd48d4e5a96a114d743f8de92
2 N0ae27b3f0a084b63912d35a8bd33deb7
3 N0bf42a3cd5ec4f8f9843acb92f5588d1
4 N0c4f1272899a47a2b7b572d3d1df9a2f
5 N10047ba58eac4db3ace1e3b87db29725
6 N12e11222f3ae44889c572d7cb1b31afe
7 N2ca3680ccb3b4b9980751448b4bd5379
8 N31f7cbc0d6f44400801add73aa14acc8
9 N65aaf5ef1c674ca08e0f8c9aea8043b9
10 N754aec361eb044e0b3fb80ed89303d2c
11 N98b7e655c57d4389b65245b368b3d01a
12 Nb0a81a87586e497eb8fa75ea6e4bb62e
13 Ncdb99529655748bb849e8f7096158b1f
14 Nd4ec1659a0c34bbcb0ff440569c308f0
15 Nfc9b73d7f6a4407fbaf9fb4feea71d8c
16 anzsrc-for:11
17 anzsrc-for:1109
18 schema:author N93b3a98170d94929bf0778915e747829
19 schema:citation sg:pub.10.1007/s00234-010-0736-z
20 sg:pub.10.1007/s003300051043
21 https://app.dimensions.ai/details/publication/pub.1074881911
22 https://app.dimensions.ai/details/publication/pub.1077126072
23 https://app.dimensions.ai/details/publication/pub.1077417087
24 https://app.dimensions.ai/details/publication/pub.1082947943
25 https://app.dimensions.ai/details/publication/pub.1083251249
26 https://doi.org/10.1002/ana.21754
27 https://doi.org/10.1002/jmri.21833
28 https://doi.org/10.1002/mrm.20198
29 https://doi.org/10.1016/j.ejrad.2011.02.057
30 https://doi.org/10.1148/radiol.2453061684
31 https://doi.org/10.1148/radiology.204.1.9205259
32 https://doi.org/10.1148/radiology.205.3.9393538
33 https://doi.org/10.1161/strokeaha.110.584862
34 https://doi.org/10.1161/strokeaha.111.623587
35 https://doi.org/10.3174/ajnr.a1265
36 https://doi.org/10.3174/ajnr.a1400
37 https://doi.org/10.3174/ajnr.a2231
38 https://doi.org/10.3174/ajnr.a2457
39 https://doi.org/10.3174/ajnr.a2777
40 https://doi.org/10.3174/ajnr.a2875
41 https://doi.org/10.3174/ajnr.a2893
42 schema:datePublished 2013-04
43 schema:datePublishedReg 2013-04-01
44 schema: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.
45 schema:genre research_article
46 schema:inLanguage en
47 schema:isAccessibleForFree false
48 schema:isPartOf N8727450214984eacbb7dd00d7781bf55
49 N8b8bc7a22bd24722860897f0ca1d533a
50 sg:journal.1289120
51 schema:name Susceptibility-weighted angiography for the detection of high-flow intracranial vascular lesions: preliminary study
52 schema:pagination 1122-1130
53 schema:productId N4beb15fe6fcd48f88ca7f7c651e16d3a
54 N9334c3545aff47ae89518f87178ddfa6
55 N96c5d9c8a512497fbc523790c249ba54
56 N99341aae6fd545af89eb35f53e9b6c0f
57 Ne3db4ebce87b44b49939720cf2d3614c
58 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000842630
59 https://doi.org/10.1007/s00330-012-2690-0
60 schema:sdDatePublished 2019-04-10T14:00
61 schema:sdLicense https://scigraph.springernature.com/explorer/license/
62 schema:sdPublisher N2c928fa01e9e492da865603c8c661de5
63 schema:url http://link.springer.com/10.1007/s00330-012-2690-0
64 sgo:license sg:explorer/license/
65 sgo:sdDataset articles
66 rdf:type schema:ScholarlyArticle
67 N0a78cc4dd48d4e5a96a114d743f8de92 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
68 schema:name Aged
69 rdf:type schema:DefinedTerm
70 N0ae27b3f0a084b63912d35a8bd33deb7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
71 schema:name Magnetic Resonance Angiography
72 rdf:type schema:DefinedTerm
73 N0bf42a3cd5ec4f8f9843acb92f5588d1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
74 schema:name Intracranial Arteriovenous Malformations
75 rdf:type schema:DefinedTerm
76 N0c4f1272899a47a2b7b572d3d1df9a2f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
77 schema:name Young Adult
78 rdf:type schema:DefinedTerm
79 N0ef1f23e6f754312a52ce00960e4634f rdf:first sg:person.01013326434.19
80 rdf:rest Nb265370f26b14202affb8eb3cd0512b4
81 N10047ba58eac4db3ace1e3b87db29725 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
82 schema:name Humans
83 rdf:type schema:DefinedTerm
84 N12e11222f3ae44889c572d7cb1b31afe schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
85 schema:name Image Enhancement
86 rdf:type schema:DefinedTerm
87 N2c928fa01e9e492da865603c8c661de5 schema:name Springer Nature - SN SciGraph project
88 rdf:type schema:Organization
89 N2ca3680ccb3b4b9980751448b4bd5379 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
90 schema:name Adult
91 rdf:type schema:DefinedTerm
92 N31f7cbc0d6f44400801add73aa14acc8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
93 schema:name Female
94 rdf:type schema:DefinedTerm
95 N3d505e4e9c864e18879911b9fc073299 rdf:first sg:person.014245477224.03
96 rdf:rest N6ca1ab8a584448759f63f98752efe884
97 N4beb15fe6fcd48f88ca7f7c651e16d3a schema:name dimensions_id
98 schema:value pub.1000842630
99 rdf:type schema:PropertyValue
100 N5470f3b7a97641849e7a6c0fa97c76e5 rdf:first sg:person.01273065501.40
101 rdf:rest N97d3e5dd8f504727a331aa5adc258a6e
102 N5e20fc92554a4891853b8104c12689e2 rdf:first sg:person.01167617607.10
103 rdf:rest N5470f3b7a97641849e7a6c0fa97c76e5
104 N5efb8b51e30e42c2a06b38aeb1f54a09 rdf:first sg:person.01050163056.00
105 rdf:rest N0ef1f23e6f754312a52ce00960e4634f
106 N65aaf5ef1c674ca08e0f8c9aea8043b9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
107 schema:name Algorithms
108 rdf:type schema:DefinedTerm
109 N66d1d622703c4a17b1fd953b5d1ac531 rdf:first sg:person.01336067165.48
110 rdf:rest Nc23d81848cb64f359a34ebbeccc3b0a4
111 N6ca1ab8a584448759f63f98752efe884 rdf:first sg:person.01360232034.15
112 rdf:rest Nbf31f5dc11c04e23bfb3961a756774db
113 N754aec361eb044e0b3fb80ed89303d2c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
114 schema:name Sensitivity and Specificity
115 rdf:type schema:DefinedTerm
116 N8727450214984eacbb7dd00d7781bf55 schema:volumeNumber 23
117 rdf:type schema:PublicationVolume
118 N8b8bc7a22bd24722860897f0ca1d533a schema:issueNumber 4
119 rdf:type schema:PublicationIssue
120 N9334c3545aff47ae89518f87178ddfa6 schema:name doi
121 schema:value 10.1007/s00330-012-2690-0
122 rdf:type schema:PropertyValue
123 N93b3a98170d94929bf0778915e747829 rdf:first sg:person.01354370734.16
124 rdf:rest N66d1d622703c4a17b1fd953b5d1ac531
125 N96c5d9c8a512497fbc523790c249ba54 schema:name readcube_id
126 schema:value 04037af71a741d7450c466931f32f85f94495311b1c1efd3775b3785f3a60f8e
127 rdf:type schema:PropertyValue
128 N97d3e5dd8f504727a331aa5adc258a6e rdf:first sg:person.01330501000.98
129 rdf:rest N3d505e4e9c864e18879911b9fc073299
130 N98b7e655c57d4389b65245b368b3d01a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
131 schema:name Pilot Projects
132 rdf:type schema:DefinedTerm
133 N99341aae6fd545af89eb35f53e9b6c0f schema:name nlm_unique_id
134 schema:value 9114774
135 rdf:type schema:PropertyValue
136 Na5cdcb7a48fa4b93b617e2160192d377 schema:name Department of Neuroradiology, CHRU Roger Salengro, Lille, France
137 rdf:type schema:Organization
138 Nb0a81a87586e497eb8fa75ea6e4bb62e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
139 schema:name Reproducibility of Results
140 rdf:type schema:DefinedTerm
141 Nb265370f26b14202affb8eb3cd0512b4 rdf:first sg:person.01167360751.87
142 rdf:rest N5e20fc92554a4891853b8104c12689e2
143 Nb34e06d0d113411eaf54f6bf195e7537 schema:name GE Healthcare, Clinical Science Development Group, Buc, France
144 rdf:type schema:Organization
145 Nbf31f5dc11c04e23bfb3961a756774db rdf:first sg:person.01152164361.47
146 rdf:rest rdf:nil
147 Nc23d81848cb64f359a34ebbeccc3b0a4 rdf:first sg:person.0677100034.84
148 rdf:rest N5efb8b51e30e42c2a06b38aeb1f54a09
149 Ncdb99529655748bb849e8f7096158b1f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
150 schema:name Middle Aged
151 rdf:type schema:DefinedTerm
152 Nd4ec1659a0c34bbcb0ff440569c308f0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
153 schema:name Image Interpretation, Computer-Assisted
154 rdf:type schema:DefinedTerm
155 Nd798d0fe65d9456c89e72d8e66568fb3 schema:name Department of Neuroradiology, CHRU Roger Salengro, Lille, France
156 rdf:type schema:Organization
157 Ne3db4ebce87b44b49939720cf2d3614c schema:name pubmed_id
158 schema:value 23111817
159 rdf:type schema:PropertyValue
160 Nfc9b73d7f6a4407fbaf9fb4feea71d8c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
161 schema:name Male
162 rdf:type schema:DefinedTerm
163 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
164 schema:name Medical and Health Sciences
165 rdf:type schema:DefinedTerm
166 anzsrc-for:1109 schema:inDefinedTermSet anzsrc-for:
167 schema:name Neurosciences
168 rdf:type schema:DefinedTerm
169 sg:journal.1289120 schema:issn 0938-7994
170 1432-1084
171 schema:name European Radiology
172 rdf:type schema:Periodical
173 sg:person.01013326434.19 schema:affiliation https://www.grid.ac/institutes/grid.414363.7
174 schema:familyName Gerber
175 schema:givenName Sophie
176 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01013326434.19
177 rdf:type schema:Person
178 sg:person.01050163056.00 schema:affiliation https://www.grid.ac/institutes/grid.414363.7
179 schema:familyName Guillonnet
180 schema:givenName Antoine
181 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01050163056.00
182 rdf:type schema:Person
183 sg:person.01152164361.47 schema:affiliation Na5cdcb7a48fa4b93b617e2160192d377
184 schema:familyName Leclerc
185 schema:givenName Xavier
186 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01152164361.47
187 rdf:type schema:Person
188 sg:person.01167360751.87 schema:affiliation https://www.grid.ac/institutes/grid.417888.a
189 schema:familyName Pistocchi
190 schema:givenName Silvia
191 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01167360751.87
192 rdf:type schema:Person
193 sg:person.01167617607.10 schema:affiliation https://www.grid.ac/institutes/grid.457369.a
194 schema:familyName Sitta
195 schema:givenName Rémi
196 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01167617607.10
197 rdf:type schema:Person
198 sg:person.01273065501.40 schema:affiliation Nb34e06d0d113411eaf54f6bf195e7537
199 schema:familyName Rabrait
200 schema:givenName Cécile
201 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01273065501.40
202 rdf:type schema:Person
203 sg:person.01330501000.98 schema:affiliation https://www.grid.ac/institutes/grid.414363.7
204 schema:familyName Zuber
205 schema:givenName Mathieu
206 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01330501000.98
207 rdf:type schema:Person
208 sg:person.01336067165.48 schema:affiliation https://www.grid.ac/institutes/grid.417888.a
209 schema:familyName Blanc
210 schema:givenName Raphaël
211 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01336067165.48
212 rdf:type schema:Person
213 sg:person.01354370734.16 schema:affiliation https://www.grid.ac/institutes/grid.414363.7
214 schema:familyName Hodel
215 schema:givenName Jérôme
216 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01354370734.16
217 rdf:type schema:Person
218 sg:person.01360232034.15 schema:affiliation https://www.grid.ac/institutes/grid.414363.7
219 schema:familyName Zins
220 schema:givenName Marc
221 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01360232034.15
222 rdf:type schema:Person
223 sg:person.014245477224.03 schema:affiliation Nd798d0fe65d9456c89e72d8e66568fb3
224 schema:familyName Pruvo
225 schema:givenName Jean-Pierre
226 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014245477224.03
227 rdf:type schema:Person
228 sg:person.0677100034.84 schema:affiliation https://www.grid.ac/institutes/grid.417818.3
229 schema:familyName Rodallec
230 schema:givenName Mathieu
231 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0677100034.84
232 rdf:type schema:Person
233 sg:pub.10.1007/s00234-010-0736-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1024022356
234 https://doi.org/10.1007/s00234-010-0736-z
235 rdf:type schema:CreativeWork
236 sg:pub.10.1007/s003300051043 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031907921
237 https://doi.org/10.1007/s003300051043
238 rdf:type schema:CreativeWork
239 https://app.dimensions.ai/details/publication/pub.1074881911 schema:CreativeWork
240 https://app.dimensions.ai/details/publication/pub.1077126072 schema:CreativeWork
241 https://app.dimensions.ai/details/publication/pub.1077417087 schema:CreativeWork
242 https://app.dimensions.ai/details/publication/pub.1082947943 schema:CreativeWork
243 https://app.dimensions.ai/details/publication/pub.1083251249 schema:CreativeWork
244 https://doi.org/10.1002/ana.21754 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047507368
245 rdf:type schema:CreativeWork
246 https://doi.org/10.1002/jmri.21833 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001830764
247 rdf:type schema:CreativeWork
248 https://doi.org/10.1002/mrm.20198 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027912509
249 rdf:type schema:CreativeWork
250 https://doi.org/10.1016/j.ejrad.2011.02.057 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031728080
251 rdf:type schema:CreativeWork
252 https://doi.org/10.1148/radiol.2453061684 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016905780
253 rdf:type schema:CreativeWork
254 https://doi.org/10.1148/radiology.204.1.9205259 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083110229
255 rdf:type schema:CreativeWork
256 https://doi.org/10.1148/radiology.205.3.9393538 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083182753
257 rdf:type schema:CreativeWork
258 https://doi.org/10.1161/strokeaha.110.584862 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027806450
259 rdf:type schema:CreativeWork
260 https://doi.org/10.1161/strokeaha.111.623587 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002658631
261 rdf:type schema:CreativeWork
262 https://doi.org/10.3174/ajnr.a1265 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012391871
263 rdf:type schema:CreativeWork
264 https://doi.org/10.3174/ajnr.a1400 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053742048
265 rdf:type schema:CreativeWork
266 https://doi.org/10.3174/ajnr.a2231 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019221074
267 rdf:type schema:CreativeWork
268 https://doi.org/10.3174/ajnr.a2457 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044654327
269 rdf:type schema:CreativeWork
270 https://doi.org/10.3174/ajnr.a2777 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042855325
271 rdf:type schema:CreativeWork
272 https://doi.org/10.3174/ajnr.a2875 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008769443
273 rdf:type schema:CreativeWork
274 https://doi.org/10.3174/ajnr.a2893 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032500232
275 rdf:type schema:CreativeWork
276 https://www.grid.ac/institutes/grid.414363.7 schema:alternateName Hôpital Saint-Joseph
277 schema:name Department of Neurology, Hôpital Saint Joseph, Paris, France
278 Department of Neuroradiology, CHRU Roger Salengro, Lille, France
279 Department of Radiology, Hôpital Saint Joseph, Paris, France
280 Service de Radiologie, Hôpital Saint Joseph, 186, rue Raymond Losserand, Paris, France
281 rdf:type schema:Organization
282 https://www.grid.ac/institutes/grid.417818.3 schema:alternateName Centre Cardiologique du Nord
283 schema:name Department of Radiology, Centre Cardiologique du Nord, Saint Denis, France
284 rdf:type schema:Organization
285 https://www.grid.ac/institutes/grid.417888.a schema:alternateName Fondation Ophtalmologique Adolphe de Rothschild
286 schema:name Department of Interventional Neuroradiology, Fondation Ophtalmologique Rothschild, Paris, France
287 rdf:type schema:Organization
288 https://www.grid.ac/institutes/grid.457369.a schema:alternateName Délégation Paris 11
289 schema:name INSERM, Unité 1018, Villejuif, France
290 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...