Review on treatment of craniocervical soft tissues arterovenous malformations and hemangiomas View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2016-12

AUTHORS

Pierleone Lucatelli, Beatrice Sacconi, Michele Anzidei, Mario Bezzi, Carlo Catalano

ABSTRACT

Vascular malformations include several vascular abnormalities, congenital in most cases, classified according to their dynamic flow characteristics into high-flow and low-flow abnormalities; both types are commonly located in the head and neck region. Imaging modalities such as Echocolor-Doppler, CT, and MRI can be employed in the evaluation of vascular malformations’ in order to describe their size, flow velocity, flow direction, and relationship with the surrounding structures, and, even more important, to differentiate between different types of malformations, since treatment modalities differ depending on their nature (low- vs high-flow). More... »

PAGES

2

References to SciGraph publications

  • 2010-06. Vascular anomalies: what a radiologist needs to know in PEDIATRIC RADIOLOGY
  • 2013. Vascular Malformations in CARDIOVASCULAR CT AND MR IMAGING
  • 2009-06. MRI characteristics and classification of peripheral vascular malformations and tumors in SKELETAL RADIOLOGY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/s40809-016-0012-7

    DOI

    http://dx.doi.org/10.1186/s40809-016-0012-7

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1002163196


    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/2008/0915", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Interdisciplinary Engineering", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/09", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Engineering", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Sapienza University of Rome", 
              "id": "https://www.grid.ac/institutes/grid.7841.a", 
              "name": [
                "Department of Radiological, Oncological and Anatomopathological Sciences \u2013 Radiology, \u2018Sapienza\u2019 University of Rome, Viale Regina Elena 324, 00161, Rome, Italy"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Lucatelli", 
            "givenName": "Pierleone", 
            "id": "sg:person.01224017445.49", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01224017445.49"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Italian Institute of Technology", 
              "id": "https://www.grid.ac/institutes/grid.25786.3e", 
              "name": [
                "Department of Radiological, Oncological and Anatomopathological Sciences \u2013 Radiology, \u2018Sapienza\u2019 University of Rome, Viale Regina Elena 324, 00161, Rome, Italy", 
                "Center for Life Nano Science@Sapienza, Istituto Italiano di Tecnologia, Rome, Italy"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Sacconi", 
            "givenName": "Beatrice", 
            "id": "sg:person.01001510455.25", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01001510455.25"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Sapienza University of Rome", 
              "id": "https://www.grid.ac/institutes/grid.7841.a", 
              "name": [
                "Department of Radiological, Oncological and Anatomopathological Sciences \u2013 Radiology, \u2018Sapienza\u2019 University of Rome, Viale Regina Elena 324, 00161, Rome, Italy"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Anzidei", 
            "givenName": "Michele", 
            "id": "sg:person.0735362216.50", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0735362216.50"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Sapienza University of Rome", 
              "id": "https://www.grid.ac/institutes/grid.7841.a", 
              "name": [
                "Department of Radiological, Oncological and Anatomopathological Sciences \u2013 Radiology, \u2018Sapienza\u2019 University of Rome, Viale Regina Elena 324, 00161, Rome, Italy"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Bezzi", 
            "givenName": "Mario", 
            "id": "sg:person.01317446274.38", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01317446274.38"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Sapienza University of Rome", 
              "id": "https://www.grid.ac/institutes/grid.7841.a", 
              "name": [
                "Department of Radiological, Oncological and Anatomopathological Sciences \u2013 Radiology, \u2018Sapienza\u2019 University of Rome, Viale Regina Elena 324, 00161, Rome, Italy"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Catalano", 
            "givenName": "Carlo", 
            "id": "sg:person.01250755056.04", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01250755056.04"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1148/radiographics.21.6.g01nv031519", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006460106"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-88-470-2868-5_15", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017223550", 
              "https://doi.org/10.1007/978-88-470-2868-5_15"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1148/rg.25si055509", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020130198"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/00006534-198203000-00002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022711561"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/00006534-198203000-00002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022711561"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ejrad.2010.04.009", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026358348"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/00006534-199306000-00006", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029036804"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/00006534-199306000-00006", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029036804"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jvs.2003.10.048", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034891220"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.crad.2011.08.003", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044117757"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00247-010-1621-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046065937", 
              "https://doi.org/10.1007/s00247-010-1621-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00247-010-1621-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046065937", 
              "https://doi.org/10.1007/s00247-010-1621-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.crad.2011.06.014", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048745406"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1148/rg.293085168", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049636212"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00256-008-0609-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052037120", 
              "https://doi.org/10.1007/s00256-008-0609-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00256-008-0609-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052037120", 
              "https://doi.org/10.1007/s00256-008-0609-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2214/ajr.181.3.1810729", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1069325666"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2016-12", 
        "datePublishedReg": "2016-12-01", 
        "description": "Vascular malformations include several vascular abnormalities, congenital in most cases, classified according to their dynamic flow characteristics into high-flow and low-flow abnormalities; both types are commonly located in the head and neck region. Imaging modalities such as Echocolor-Doppler, CT, and MRI can be employed in the evaluation of vascular malformations\u2019 in order to describe their size, flow velocity, flow direction, and relationship with the surrounding structures, and, even more important, to differentiate between different types of malformations, since treatment modalities differ depending on their nature (low- vs high-flow).", 
        "genre": "research_article", 
        "id": "sg:pub.10.1186/s40809-016-0012-7", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": true, 
        "isPartOf": [
          {
            "id": "sg:journal.1136722", 
            "issn": [
              "2055-5792"
            ], 
            "name": "Neurovascular Imaging", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "2"
          }
        ], 
        "name": "Review on treatment of craniocervical soft tissues arterovenous malformations and hemangiomas", 
        "pagination": "2", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "0a4cf7b845bc73c6ba4da036c5c38793c54e9ffa597ebe82001a185a22e452bc"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1186/s40809-016-0012-7"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1002163196"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1186/s40809-016-0012-7", 
          "https://app.dimensions.ai/details/publication/pub.1002163196"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-10T21:38", 
        "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_8687_00000519.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://link.springer.com/10.1186%2Fs40809-016-0012-7"
      }
    ]
     

    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.10.1186/s40809-016-0012-7'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s40809-016-0012-7'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s40809-016-0012-7'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s40809-016-0012-7'


     

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

    134 TRIPLES      21 PREDICATES      40 URIs      19 LITERALS      7 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1186/s40809-016-0012-7 schema:about anzsrc-for:09
    2 anzsrc-for:0915
    3 schema:author N9deae4f7cc844aadaadc010e6bd9c4ae
    4 schema:citation sg:pub.10.1007/978-88-470-2868-5_15
    5 sg:pub.10.1007/s00247-010-1621-y
    6 sg:pub.10.1007/s00256-008-0609-2
    7 https://doi.org/10.1016/j.crad.2011.06.014
    8 https://doi.org/10.1016/j.crad.2011.08.003
    9 https://doi.org/10.1016/j.ejrad.2010.04.009
    10 https://doi.org/10.1016/j.jvs.2003.10.048
    11 https://doi.org/10.1097/00006534-198203000-00002
    12 https://doi.org/10.1097/00006534-199306000-00006
    13 https://doi.org/10.1148/radiographics.21.6.g01nv031519
    14 https://doi.org/10.1148/rg.25si055509
    15 https://doi.org/10.1148/rg.293085168
    16 https://doi.org/10.2214/ajr.181.3.1810729
    17 schema:datePublished 2016-12
    18 schema:datePublishedReg 2016-12-01
    19 schema:description Vascular malformations include several vascular abnormalities, congenital in most cases, classified according to their dynamic flow characteristics into high-flow and low-flow abnormalities; both types are commonly located in the head and neck region. Imaging modalities such as Echocolor-Doppler, CT, and MRI can be employed in the evaluation of vascular malformations’ in order to describe their size, flow velocity, flow direction, and relationship with the surrounding structures, and, even more important, to differentiate between different types of malformations, since treatment modalities differ depending on their nature (low- vs high-flow).
    20 schema:genre research_article
    21 schema:inLanguage en
    22 schema:isAccessibleForFree true
    23 schema:isPartOf N0a5251d99b9b41a3962d07c82eb1a89a
    24 N25ce09c6a459473a8c63a28549d192e3
    25 sg:journal.1136722
    26 schema:name Review on treatment of craniocervical soft tissues arterovenous malformations and hemangiomas
    27 schema:pagination 2
    28 schema:productId N0e993e291e8045249fe1ac79f228747c
    29 N1c8b07d0571946c2a52ba15f10d71d11
    30 N52a251b5e03f4ac7861c75ba149e96a4
    31 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002163196
    32 https://doi.org/10.1186/s40809-016-0012-7
    33 schema:sdDatePublished 2019-04-10T21:38
    34 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    35 schema:sdPublisher N296e2cbb092c464ebb6c30d68bc355cc
    36 schema:url http://link.springer.com/10.1186%2Fs40809-016-0012-7
    37 sgo:license sg:explorer/license/
    38 sgo:sdDataset articles
    39 rdf:type schema:ScholarlyArticle
    40 N0a5251d99b9b41a3962d07c82eb1a89a schema:issueNumber 1
    41 rdf:type schema:PublicationIssue
    42 N0e993e291e8045249fe1ac79f228747c schema:name doi
    43 schema:value 10.1186/s40809-016-0012-7
    44 rdf:type schema:PropertyValue
    45 N1c8b07d0571946c2a52ba15f10d71d11 schema:name readcube_id
    46 schema:value 0a4cf7b845bc73c6ba4da036c5c38793c54e9ffa597ebe82001a185a22e452bc
    47 rdf:type schema:PropertyValue
    48 N25ce09c6a459473a8c63a28549d192e3 schema:volumeNumber 2
    49 rdf:type schema:PublicationVolume
    50 N296e2cbb092c464ebb6c30d68bc355cc schema:name Springer Nature - SN SciGraph project
    51 rdf:type schema:Organization
    52 N48b550f0d77742319ac0050f442073f5 rdf:first sg:person.01250755056.04
    53 rdf:rest rdf:nil
    54 N52a251b5e03f4ac7861c75ba149e96a4 schema:name dimensions_id
    55 schema:value pub.1002163196
    56 rdf:type schema:PropertyValue
    57 N7e7ca4e8ca6241769d2add6f4ad87906 rdf:first sg:person.0735362216.50
    58 rdf:rest Ne671c7b76c7d46559c3ae554e6512d4a
    59 N9deae4f7cc844aadaadc010e6bd9c4ae rdf:first sg:person.01224017445.49
    60 rdf:rest Nc5e2b98623264fa5927544f4431b5ad8
    61 Nc5e2b98623264fa5927544f4431b5ad8 rdf:first sg:person.01001510455.25
    62 rdf:rest N7e7ca4e8ca6241769d2add6f4ad87906
    63 Ne671c7b76c7d46559c3ae554e6512d4a rdf:first sg:person.01317446274.38
    64 rdf:rest N48b550f0d77742319ac0050f442073f5
    65 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
    66 schema:name Engineering
    67 rdf:type schema:DefinedTerm
    68 anzsrc-for:0915 schema:inDefinedTermSet anzsrc-for:
    69 schema:name Interdisciplinary Engineering
    70 rdf:type schema:DefinedTerm
    71 sg:journal.1136722 schema:issn 2055-5792
    72 schema:name Neurovascular Imaging
    73 rdf:type schema:Periodical
    74 sg:person.01001510455.25 schema:affiliation https://www.grid.ac/institutes/grid.25786.3e
    75 schema:familyName Sacconi
    76 schema:givenName Beatrice
    77 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01001510455.25
    78 rdf:type schema:Person
    79 sg:person.01224017445.49 schema:affiliation https://www.grid.ac/institutes/grid.7841.a
    80 schema:familyName Lucatelli
    81 schema:givenName Pierleone
    82 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01224017445.49
    83 rdf:type schema:Person
    84 sg:person.01250755056.04 schema:affiliation https://www.grid.ac/institutes/grid.7841.a
    85 schema:familyName Catalano
    86 schema:givenName Carlo
    87 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01250755056.04
    88 rdf:type schema:Person
    89 sg:person.01317446274.38 schema:affiliation https://www.grid.ac/institutes/grid.7841.a
    90 schema:familyName Bezzi
    91 schema:givenName Mario
    92 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01317446274.38
    93 rdf:type schema:Person
    94 sg:person.0735362216.50 schema:affiliation https://www.grid.ac/institutes/grid.7841.a
    95 schema:familyName Anzidei
    96 schema:givenName Michele
    97 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0735362216.50
    98 rdf:type schema:Person
    99 sg:pub.10.1007/978-88-470-2868-5_15 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017223550
    100 https://doi.org/10.1007/978-88-470-2868-5_15
    101 rdf:type schema:CreativeWork
    102 sg:pub.10.1007/s00247-010-1621-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1046065937
    103 https://doi.org/10.1007/s00247-010-1621-y
    104 rdf:type schema:CreativeWork
    105 sg:pub.10.1007/s00256-008-0609-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052037120
    106 https://doi.org/10.1007/s00256-008-0609-2
    107 rdf:type schema:CreativeWork
    108 https://doi.org/10.1016/j.crad.2011.06.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048745406
    109 rdf:type schema:CreativeWork
    110 https://doi.org/10.1016/j.crad.2011.08.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044117757
    111 rdf:type schema:CreativeWork
    112 https://doi.org/10.1016/j.ejrad.2010.04.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026358348
    113 rdf:type schema:CreativeWork
    114 https://doi.org/10.1016/j.jvs.2003.10.048 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034891220
    115 rdf:type schema:CreativeWork
    116 https://doi.org/10.1097/00006534-198203000-00002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022711561
    117 rdf:type schema:CreativeWork
    118 https://doi.org/10.1097/00006534-199306000-00006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029036804
    119 rdf:type schema:CreativeWork
    120 https://doi.org/10.1148/radiographics.21.6.g01nv031519 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006460106
    121 rdf:type schema:CreativeWork
    122 https://doi.org/10.1148/rg.25si055509 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020130198
    123 rdf:type schema:CreativeWork
    124 https://doi.org/10.1148/rg.293085168 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049636212
    125 rdf:type schema:CreativeWork
    126 https://doi.org/10.2214/ajr.181.3.1810729 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069325666
    127 rdf:type schema:CreativeWork
    128 https://www.grid.ac/institutes/grid.25786.3e schema:alternateName Italian Institute of Technology
    129 schema:name Center for Life Nano Science@Sapienza, Istituto Italiano di Tecnologia, Rome, Italy
    130 Department of Radiological, Oncological and Anatomopathological Sciences – Radiology, ‘Sapienza’ University of Rome, Viale Regina Elena 324, 00161, Rome, Italy
    131 rdf:type schema:Organization
    132 https://www.grid.ac/institutes/grid.7841.a schema:alternateName Sapienza University of Rome
    133 schema:name Department of Radiological, Oncological and Anatomopathological Sciences – Radiology, ‘Sapienza’ University of Rome, Viale Regina Elena 324, 00161, Rome, Italy
    134 rdf:type schema:Organization
     




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


    ...