Head and Neck Imaging View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2008-12

AUTHORS

Karl-Olof Lövblad, Marco Essig

ABSTRACT

Neuroimaging techniques play a central role in the diagnosis and management of Central nervous system (CNS) diseases. The use of Magnetic Resonance Imaging (MRI) has helped to diagnose and understand disease processes early on. The use of contrast media has improved visualization of normal and abnormal tissues. New developments in contrasat media agents have shown great promise: Goadobutrol, the first one molar paramagnetic contrast agent has shown to be of use in MR angiography and in perfusion of the brain while newer applications such as to the diagnosis of inflammatory diseases such as multiple sclerosis are promising. Another product, Gadofosveset (Vasovist®) is an intravascular MRI contrast agent that has shown to be of interest for imaging of vascular pathology as well as brain tumours. These two new MRI contrast media should allow expanding and strengthening the armamentarium at our disposal for the diagnosis and management of CNS diseases. More... »

PAGES

35

References to SciGraph publications

  • 2006-02. Vasovist-enhanced MR angiography in EUROPEAN RADIOLOGY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s10406-009-0244-6

    DOI

    http://dx.doi.org/10.1007/s10406-009-0244-6

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1016740247


    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"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "University Hospital of Geneva", 
              "id": "https://www.grid.ac/institutes/grid.150338.c", 
              "name": [
                "Department of Neuroradiology, Geneva University Hospital, 24 rue Micheli-du-Crest, 1211, Gen\u00e8ve 14, Switzerland"
              ], 
              "type": "Organization"
            }, 
            "familyName": "L\u00f6vblad", 
            "givenName": "Karl-Olof", 
            "id": "sg:person.0657522337.83", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0657522337.83"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "German Cancer Research Center", 
              "id": "https://www.grid.ac/institutes/grid.7497.d", 
              "name": [
                "Department of Radiology, German Cancer Research Center, Im Neuenheimer Feld 280, 69120, Heidelberg, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Essig", 
            "givenName": "Marco", 
            "id": "sg:person.01007142610.62", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01007142610.62"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1093/brain/120.11.2059", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001579776"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/ja017168k", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002663166"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/ja017168k", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002663166"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1148/radiol.2293021180", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003403719"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/ana.10551", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008802683"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/jmri.20404", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014588636"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/jmri.20404", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014588636"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/ana.20703", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019347147"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/ana.20703", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019347147"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/01.rli.0000191333.19068.6b", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022696525"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/01.rli.0000191333.19068.6b", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022696525"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/01.rli.0000191333.19068.6b", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022696525"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/01.rli.0000069790.89435.e7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023451029"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/01.rli.0000069790.89435.e7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023451029"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/1522-2586(200009)12:3<371::aid-jmri1>3.0.co;2-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027837700"
            ], 
            "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/10.1002/ana.1032", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036110463"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10406-006-0162-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038428079", 
              "https://doi.org/10.1007/s10406-006-0162-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/00004424-200307000-00005", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038723850"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1148/radiol.2413060053", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041113501"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0730-725x(99)00084-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042217055"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1148/radiol.2263011970", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043638660"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/01.rli.0000184756.66360.d3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047558970"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/01.rli.0000184756.66360.d3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047558970"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/01.rli.0000184756.66360.d3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047558970"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1148/radiology.219.1.r01ap42114", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051121323"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1055/s-2007-1015588", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1057487767"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2214/ajr.05.2212", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1069297998"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1077190878", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1077255554", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1082417076", 
            "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.207.2.9577506", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1083257437"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2008-12", 
        "datePublishedReg": "2008-12-01", 
        "description": "Neuroimaging techniques play a central role in the diagnosis and management of Central nervous system (CNS) diseases. The use of Magnetic Resonance Imaging (MRI) has helped to diagnose and understand disease processes early on. The use of contrast media has improved visualization of normal and abnormal tissues. New developments in contrasat media agents have shown great promise: Goadobutrol, the first one molar paramagnetic contrast agent has shown to be of use in MR angiography and in perfusion of the brain while newer applications such as to the diagnosis of inflammatory diseases such as multiple sclerosis are promising. Another product, Gadofosveset (Vasovist\u00ae) is an intravascular MRI contrast agent that has shown to be of interest for imaging of vascular pathology as well as brain tumours. These two new MRI contrast media should allow expanding and strengthening the armamentarium at our disposal for the diagnosis and management of CNS diseases.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1007/s10406-009-0244-6", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1335410", 
            "issn": [
              "1613-3749", 
              "1613-3757"
            ], 
            "name": "European Radiology Supplements", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "Suppl 5", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "18"
          }
        ], 
        "name": "Head and Neck Imaging", 
        "pagination": "35", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "4fc2f3754a33fe3fcc624243b6eac13fdc4e00dc1152e873208a8f7c69549530"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s10406-009-0244-6"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1016740247"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s10406-009-0244-6", 
          "https://app.dimensions.ai/details/publication/pub.1016740247"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T14:28", 
        "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/v90/0000000373_0000000373/records_13081_00000000.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://link.springer.com/10.1007/s10406-009-0244-6"
      }
    ]
     

    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/s10406-009-0244-6'

    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/s10406-009-0244-6'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10406-009-0244-6'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10406-009-0244-6'


     

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

    144 TRIPLES      21 PREDICATES      52 URIs      19 LITERALS      7 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s10406-009-0244-6 schema:about anzsrc-for:11
    2 anzsrc-for:1109
    3 schema:author Ncc28467275674cdc8542b3efcb8dba6c
    4 schema:citation sg:pub.10.1007/s10406-006-0162-9
    5 https://app.dimensions.ai/details/publication/pub.1077190878
    6 https://app.dimensions.ai/details/publication/pub.1077255554
    7 https://app.dimensions.ai/details/publication/pub.1082417076
    8 https://doi.org/10.1002/1522-2586(200009)12:3<371::aid-jmri1>3.0.co;2-3
    9 https://doi.org/10.1002/ana.1032
    10 https://doi.org/10.1002/ana.10551
    11 https://doi.org/10.1002/ana.20703
    12 https://doi.org/10.1002/jmri.20404
    13 https://doi.org/10.1002/mrm.20198
    14 https://doi.org/10.1016/s0730-725x(99)00084-3
    15 https://doi.org/10.1021/ja017168k
    16 https://doi.org/10.1055/s-2007-1015588
    17 https://doi.org/10.1093/brain/120.11.2059
    18 https://doi.org/10.1097/00004424-200307000-00005
    19 https://doi.org/10.1097/01.rli.0000069790.89435.e7
    20 https://doi.org/10.1097/01.rli.0000184756.66360.d3
    21 https://doi.org/10.1097/01.rli.0000191333.19068.6b
    22 https://doi.org/10.1148/radiol.2263011970
    23 https://doi.org/10.1148/radiol.2293021180
    24 https://doi.org/10.1148/radiol.2413060053
    25 https://doi.org/10.1148/radiology.204.1.9205259
    26 https://doi.org/10.1148/radiology.207.2.9577506
    27 https://doi.org/10.1148/radiology.219.1.r01ap42114
    28 https://doi.org/10.2214/ajr.05.2212
    29 schema:datePublished 2008-12
    30 schema:datePublishedReg 2008-12-01
    31 schema:description Neuroimaging techniques play a central role in the diagnosis and management of Central nervous system (CNS) diseases. The use of Magnetic Resonance Imaging (MRI) has helped to diagnose and understand disease processes early on. The use of contrast media has improved visualization of normal and abnormal tissues. New developments in contrasat media agents have shown great promise: Goadobutrol, the first one molar paramagnetic contrast agent has shown to be of use in MR angiography and in perfusion of the brain while newer applications such as to the diagnosis of inflammatory diseases such as multiple sclerosis are promising. Another product, Gadofosveset (Vasovist®) is an intravascular MRI contrast agent that has shown to be of interest for imaging of vascular pathology as well as brain tumours. These two new MRI contrast media should allow expanding and strengthening the armamentarium at our disposal for the diagnosis and management of CNS diseases.
    32 schema:genre research_article
    33 schema:inLanguage en
    34 schema:isAccessibleForFree false
    35 schema:isPartOf Nb41859747ab6450587afcba49d2b184e
    36 Nd6b36089715a4de98bf3a7caad3a102c
    37 sg:journal.1335410
    38 schema:name Head and Neck Imaging
    39 schema:pagination 35
    40 schema:productId N62084e001dd1460b989603e4b2c93c49
    41 N685f5f98efdc471a83bd88388e1da7c1
    42 N80fc4178358c4e0aa9a76fb83236b84c
    43 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016740247
    44 https://doi.org/10.1007/s10406-009-0244-6
    45 schema:sdDatePublished 2019-04-11T14:28
    46 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    47 schema:sdPublisher Nffd50bf765324e1bb1d82d5d5b4d00ab
    48 schema:url http://link.springer.com/10.1007/s10406-009-0244-6
    49 sgo:license sg:explorer/license/
    50 sgo:sdDataset articles
    51 rdf:type schema:ScholarlyArticle
    52 N62084e001dd1460b989603e4b2c93c49 schema:name readcube_id
    53 schema:value 4fc2f3754a33fe3fcc624243b6eac13fdc4e00dc1152e873208a8f7c69549530
    54 rdf:type schema:PropertyValue
    55 N685f5f98efdc471a83bd88388e1da7c1 schema:name dimensions_id
    56 schema:value pub.1016740247
    57 rdf:type schema:PropertyValue
    58 N80fc4178358c4e0aa9a76fb83236b84c schema:name doi
    59 schema:value 10.1007/s10406-009-0244-6
    60 rdf:type schema:PropertyValue
    61 Nb41859747ab6450587afcba49d2b184e schema:volumeNumber 18
    62 rdf:type schema:PublicationVolume
    63 Ncc28467275674cdc8542b3efcb8dba6c rdf:first sg:person.0657522337.83
    64 rdf:rest Nd25d07eb7bbf431ab90de7dd02fe6e3e
    65 Nd25d07eb7bbf431ab90de7dd02fe6e3e rdf:first sg:person.01007142610.62
    66 rdf:rest rdf:nil
    67 Nd6b36089715a4de98bf3a7caad3a102c schema:issueNumber Suppl 5
    68 rdf:type schema:PublicationIssue
    69 Nffd50bf765324e1bb1d82d5d5b4d00ab schema:name Springer Nature - SN SciGraph project
    70 rdf:type schema:Organization
    71 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
    72 schema:name Medical and Health Sciences
    73 rdf:type schema:DefinedTerm
    74 anzsrc-for:1109 schema:inDefinedTermSet anzsrc-for:
    75 schema:name Neurosciences
    76 rdf:type schema:DefinedTerm
    77 sg:journal.1335410 schema:issn 1613-3749
    78 1613-3757
    79 schema:name European Radiology Supplements
    80 rdf:type schema:Periodical
    81 sg:person.01007142610.62 schema:affiliation https://www.grid.ac/institutes/grid.7497.d
    82 schema:familyName Essig
    83 schema:givenName Marco
    84 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01007142610.62
    85 rdf:type schema:Person
    86 sg:person.0657522337.83 schema:affiliation https://www.grid.ac/institutes/grid.150338.c
    87 schema:familyName Lövblad
    88 schema:givenName Karl-Olof
    89 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0657522337.83
    90 rdf:type schema:Person
    91 sg:pub.10.1007/s10406-006-0162-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038428079
    92 https://doi.org/10.1007/s10406-006-0162-9
    93 rdf:type schema:CreativeWork
    94 https://app.dimensions.ai/details/publication/pub.1077190878 schema:CreativeWork
    95 https://app.dimensions.ai/details/publication/pub.1077255554 schema:CreativeWork
    96 https://app.dimensions.ai/details/publication/pub.1082417076 schema:CreativeWork
    97 https://doi.org/10.1002/1522-2586(200009)12:3<371::aid-jmri1>3.0.co;2-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027837700
    98 rdf:type schema:CreativeWork
    99 https://doi.org/10.1002/ana.1032 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036110463
    100 rdf:type schema:CreativeWork
    101 https://doi.org/10.1002/ana.10551 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008802683
    102 rdf:type schema:CreativeWork
    103 https://doi.org/10.1002/ana.20703 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019347147
    104 rdf:type schema:CreativeWork
    105 https://doi.org/10.1002/jmri.20404 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014588636
    106 rdf:type schema:CreativeWork
    107 https://doi.org/10.1002/mrm.20198 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027912509
    108 rdf:type schema:CreativeWork
    109 https://doi.org/10.1016/s0730-725x(99)00084-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042217055
    110 rdf:type schema:CreativeWork
    111 https://doi.org/10.1021/ja017168k schema:sameAs https://app.dimensions.ai/details/publication/pub.1002663166
    112 rdf:type schema:CreativeWork
    113 https://doi.org/10.1055/s-2007-1015588 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057487767
    114 rdf:type schema:CreativeWork
    115 https://doi.org/10.1093/brain/120.11.2059 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001579776
    116 rdf:type schema:CreativeWork
    117 https://doi.org/10.1097/00004424-200307000-00005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038723850
    118 rdf:type schema:CreativeWork
    119 https://doi.org/10.1097/01.rli.0000069790.89435.e7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023451029
    120 rdf:type schema:CreativeWork
    121 https://doi.org/10.1097/01.rli.0000184756.66360.d3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047558970
    122 rdf:type schema:CreativeWork
    123 https://doi.org/10.1097/01.rli.0000191333.19068.6b schema:sameAs https://app.dimensions.ai/details/publication/pub.1022696525
    124 rdf:type schema:CreativeWork
    125 https://doi.org/10.1148/radiol.2263011970 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043638660
    126 rdf:type schema:CreativeWork
    127 https://doi.org/10.1148/radiol.2293021180 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003403719
    128 rdf:type schema:CreativeWork
    129 https://doi.org/10.1148/radiol.2413060053 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041113501
    130 rdf:type schema:CreativeWork
    131 https://doi.org/10.1148/radiology.204.1.9205259 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083110229
    132 rdf:type schema:CreativeWork
    133 https://doi.org/10.1148/radiology.207.2.9577506 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083257437
    134 rdf:type schema:CreativeWork
    135 https://doi.org/10.1148/radiology.219.1.r01ap42114 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051121323
    136 rdf:type schema:CreativeWork
    137 https://doi.org/10.2214/ajr.05.2212 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069297998
    138 rdf:type schema:CreativeWork
    139 https://www.grid.ac/institutes/grid.150338.c schema:alternateName University Hospital of Geneva
    140 schema:name Department of Neuroradiology, Geneva University Hospital, 24 rue Micheli-du-Crest, 1211, Genève 14, Switzerland
    141 rdf:type schema:Organization
    142 https://www.grid.ac/institutes/grid.7497.d schema:alternateName German Cancer Research Center
    143 schema:name Department of Radiology, German Cancer Research Center, Im Neuenheimer Feld 280, 69120, Heidelberg, Germany
    144 rdf:type schema:Organization
     




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


    ...