MRI of spontaneously ruptured dermoids in the middle cranial fossa View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

1991

AUTHORS

T. Ohkubo , Y. Sasaki , S. Aoki , T. Machida , T. Kokubo

ABSTRACT

MRI of four patients with spontaneously ruptured middle cranial fossa dermoids was reviewed. In all patients, MRI clearly demonstrated the primary tumour, and T1-weighted images showed high signal areas with fatfluid levels in the ventricles(3/4) and/or high signal spots in the cerebrospinal fluid (CSF) spaces(4/4). Signal intensity of these areas decreased as images became more heavily T2-weighted, in accordance with the known MRI characteristics of fat. MRI was very sensitive for detection of small fat droplets within CSF and for demonstrating their exact distribution, especially on T1-weighted images. More... »

PAGES

311-312

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-49329-4_103

DOI

http://dx.doi.org/10.1007/978-3-642-49329-4_103

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1021679855


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/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1103", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Clinical Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Department of Radiology, Faculty of Medicine, University of Tokyo, 7-3-1, Hongo, Bunkyo-Ku, Tokyo 113, Japan", 
          "id": "http://www.grid.ac/institutes/grid.26999.3d", 
          "name": [
            "Department of Radiology, Faculty of Medicine, University of Tokyo, Tokyo, Japan", 
            "Department of Radiology, Faculty of Medicine, University of Tokyo, 7-3-1, Hongo, Bunkyo-Ku, Tokyo 113, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ohkubo", 
        "givenName": "T.", 
        "id": "sg:person.01136112574.19", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01136112574.19"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Radiology, Faculty of Medicine, University of Tokyo, Tokyo, Japan", 
          "id": "http://www.grid.ac/institutes/grid.26999.3d", 
          "name": [
            "Department of Radiology, Faculty of Medicine, University of Tokyo, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sasaki", 
        "givenName": "Y.", 
        "id": "sg:person.011417422332.20", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011417422332.20"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Radiology, Faculty of Medicine, University of Tokyo, Tokyo, Japan", 
          "id": "http://www.grid.ac/institutes/grid.26999.3d", 
          "name": [
            "Department of Radiology, Faculty of Medicine, University of Tokyo, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Aoki", 
        "givenName": "S.", 
        "id": "sg:person.01215036461.13", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01215036461.13"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Radiology, Faculty of Medicine, University of Tokyo, Tokyo, Japan", 
          "id": "http://www.grid.ac/institutes/grid.26999.3d", 
          "name": [
            "Department of Radiology, Faculty of Medicine, University of Tokyo, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Machida", 
        "givenName": "T.", 
        "id": "sg:person.016672457152.63", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016672457152.63"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Radiology, Faculty of Medicine, University of Tokyo, Tokyo, Japan", 
          "id": "http://www.grid.ac/institutes/grid.26999.3d", 
          "name": [
            "Department of Radiology, Faculty of Medicine, University of Tokyo, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kokubo", 
        "givenName": "T.", 
        "id": "sg:person.0755432342.30", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0755432342.30"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "1991", 
    "datePublishedReg": "1991-01-01", 
    "description": "MRI of four patients with spontaneously ruptured middle cranial fossa dermoids was reviewed. In all patients, MRI clearly demonstrated the primary tumour, and T1-weighted images showed high signal areas with fatfluid levels in the ventricles(3/4) and/or high signal spots in the cerebrospinal fluid (CSF) spaces(4/4). Signal intensity of these areas decreased as images became more heavily T2-weighted, in accordance with the known MRI characteristics of fat. MRI was very sensitive for detection of small fat droplets within CSF and for demonstrating their exact distribution, especially on T1-weighted images.", 
    "editor": [
      {
        "familyName": "du Boulay", 
        "givenName": "George", 
        "type": "Person"
      }, 
      {
        "familyName": "Molyneux", 
        "givenName": "Andrew", 
        "type": "Person"
      }, 
      {
        "familyName": "Moseley", 
        "givenName": "Ivan", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-642-49329-4_103", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-3-642-49331-7", 
        "978-3-642-49329-4"
      ], 
      "name": "Proceedings of the XIV Symposium Neuroradiologicum", 
      "type": "Book"
    }, 
    "keywords": [
      "T1-weighted images", 
      "cerebrospinal fluid", 
      "high signal areas", 
      "middle cranial fossa", 
      "primary tumor", 
      "MRI characteristics", 
      "cranial fossa", 
      "small fat droplets", 
      "MRI", 
      "patients", 
      "dermoid", 
      "fat droplets", 
      "signal area", 
      "signal intensity", 
      "tumors", 
      "fossa", 
      "signal spots", 
      "fat", 
      "levels", 
      "area", 
      "fluid", 
      "detection", 
      "characteristics", 
      "images", 
      "accordance", 
      "intensity", 
      "spots", 
      "distribution", 
      "droplets", 
      "exact distribution"
    ], 
    "name": "MRI of spontaneously ruptured dermoids in the middle cranial fossa", 
    "pagination": "311-312", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1021679855"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-642-49329-4_103"
        ]
      }
    ], 
    "publisher": {
      "name": "Springer Nature", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-642-49329-4_103", 
      "https://app.dimensions.ai/details/publication/pub.1021679855"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2022-06-01T22:34", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220601/entities/gbq_results/chapter/chapter_377.jsonl", 
    "type": "Chapter", 
    "url": "https://doi.org/10.1007/978-3-642-49329-4_103"
  }
]
 

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.10.1007/978-3-642-49329-4_103'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-49329-4_103'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-49329-4_103'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-49329-4_103'


 

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

130 TRIPLES      23 PREDICATES      56 URIs      49 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-3-642-49329-4_103 schema:about anzsrc-for:11
2 anzsrc-for:1103
3 schema:author N1bc492cc127a4e5b9759c42ba5cc8035
4 schema:datePublished 1991
5 schema:datePublishedReg 1991-01-01
6 schema:description MRI of four patients with spontaneously ruptured middle cranial fossa dermoids was reviewed. In all patients, MRI clearly demonstrated the primary tumour, and T1-weighted images showed high signal areas with fatfluid levels in the ventricles(3/4) and/or high signal spots in the cerebrospinal fluid (CSF) spaces(4/4). Signal intensity of these areas decreased as images became more heavily T2-weighted, in accordance with the known MRI characteristics of fat. MRI was very sensitive for detection of small fat droplets within CSF and for demonstrating their exact distribution, especially on T1-weighted images.
7 schema:editor N76a5837d3ddc4b418e79e574211e9b98
8 schema:genre chapter
9 schema:inLanguage en
10 schema:isAccessibleForFree false
11 schema:isPartOf N0d39fb57d7c24cd0a363c505e9817546
12 schema:keywords MRI
13 MRI characteristics
14 T1-weighted images
15 accordance
16 area
17 cerebrospinal fluid
18 characteristics
19 cranial fossa
20 dermoid
21 detection
22 distribution
23 droplets
24 exact distribution
25 fat
26 fat droplets
27 fluid
28 fossa
29 high signal areas
30 images
31 intensity
32 levels
33 middle cranial fossa
34 patients
35 primary tumor
36 signal area
37 signal intensity
38 signal spots
39 small fat droplets
40 spots
41 tumors
42 schema:name MRI of spontaneously ruptured dermoids in the middle cranial fossa
43 schema:pagination 311-312
44 schema:productId N15c43892fb8b4a7c95de6809848d9b07
45 Nd5a19797052d4f798eebc4600109a248
46 schema:publisher N35977a4302f146c8b0a4bd98ca55b52f
47 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021679855
48 https://doi.org/10.1007/978-3-642-49329-4_103
49 schema:sdDatePublished 2022-06-01T22:34
50 schema:sdLicense https://scigraph.springernature.com/explorer/license/
51 schema:sdPublisher N78d9e1b362d04eb6bcc3b5b2d811a8b1
52 schema:url https://doi.org/10.1007/978-3-642-49329-4_103
53 sgo:license sg:explorer/license/
54 sgo:sdDataset chapters
55 rdf:type schema:Chapter
56 N0d39fb57d7c24cd0a363c505e9817546 schema:isbn 978-3-642-49329-4
57 978-3-642-49331-7
58 schema:name Proceedings of the XIV Symposium Neuroradiologicum
59 rdf:type schema:Book
60 N1536c63bfc2f43079071b40f4122af52 schema:familyName Moseley
61 schema:givenName Ivan
62 rdf:type schema:Person
63 N15c43892fb8b4a7c95de6809848d9b07 schema:name doi
64 schema:value 10.1007/978-3-642-49329-4_103
65 rdf:type schema:PropertyValue
66 N1bc492cc127a4e5b9759c42ba5cc8035 rdf:first sg:person.01136112574.19
67 rdf:rest N815b830288184d21b361367e5925a251
68 N35977a4302f146c8b0a4bd98ca55b52f schema:name Springer Nature
69 rdf:type schema:Organisation
70 N4c3fe35cb73d4639ae9af802a8d7e7ee rdf:first N8537c48d2a61487cb5d3c9f3d33c4ac8
71 rdf:rest Ne5fea94e8f8d412a8c8d624e5dab70e6
72 N50a93df00fc6416898ca636ea35cc02e rdf:first sg:person.016672457152.63
73 rdf:rest Ndc191b76e98a48e8894d5f6d76191cd1
74 N76a5837d3ddc4b418e79e574211e9b98 rdf:first N8abb6192fb9c442cb7ecfe5bc6111820
75 rdf:rest N4c3fe35cb73d4639ae9af802a8d7e7ee
76 N78d9e1b362d04eb6bcc3b5b2d811a8b1 schema:name Springer Nature - SN SciGraph project
77 rdf:type schema:Organization
78 N815b830288184d21b361367e5925a251 rdf:first sg:person.011417422332.20
79 rdf:rest Ne5ca41d10b194adfb04b179f00b72970
80 N8537c48d2a61487cb5d3c9f3d33c4ac8 schema:familyName Molyneux
81 schema:givenName Andrew
82 rdf:type schema:Person
83 N8abb6192fb9c442cb7ecfe5bc6111820 schema:familyName du Boulay
84 schema:givenName George
85 rdf:type schema:Person
86 Nd5a19797052d4f798eebc4600109a248 schema:name dimensions_id
87 schema:value pub.1021679855
88 rdf:type schema:PropertyValue
89 Ndc191b76e98a48e8894d5f6d76191cd1 rdf:first sg:person.0755432342.30
90 rdf:rest rdf:nil
91 Ne5ca41d10b194adfb04b179f00b72970 rdf:first sg:person.01215036461.13
92 rdf:rest N50a93df00fc6416898ca636ea35cc02e
93 Ne5fea94e8f8d412a8c8d624e5dab70e6 rdf:first N1536c63bfc2f43079071b40f4122af52
94 rdf:rest rdf:nil
95 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
96 schema:name Medical and Health Sciences
97 rdf:type schema:DefinedTerm
98 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
99 schema:name Clinical Sciences
100 rdf:type schema:DefinedTerm
101 sg:person.01136112574.19 schema:affiliation grid-institutes:grid.26999.3d
102 schema:familyName Ohkubo
103 schema:givenName T.
104 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01136112574.19
105 rdf:type schema:Person
106 sg:person.011417422332.20 schema:affiliation grid-institutes:grid.26999.3d
107 schema:familyName Sasaki
108 schema:givenName Y.
109 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011417422332.20
110 rdf:type schema:Person
111 sg:person.01215036461.13 schema:affiliation grid-institutes:grid.26999.3d
112 schema:familyName Aoki
113 schema:givenName S.
114 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01215036461.13
115 rdf:type schema:Person
116 sg:person.016672457152.63 schema:affiliation grid-institutes:grid.26999.3d
117 schema:familyName Machida
118 schema:givenName T.
119 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016672457152.63
120 rdf:type schema:Person
121 sg:person.0755432342.30 schema:affiliation grid-institutes:grid.26999.3d
122 schema:familyName Kokubo
123 schema:givenName T.
124 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0755432342.30
125 rdf:type schema:Person
126 grid-institutes:grid.26999.3d schema:alternateName Department of Radiology, Faculty of Medicine, University of Tokyo, 7-3-1, Hongo, Bunkyo-Ku, Tokyo 113, Japan
127 Department of Radiology, Faculty of Medicine, University of Tokyo, Tokyo, Japan
128 schema:name Department of Radiology, Faculty of Medicine, University of Tokyo, 7-3-1, Hongo, Bunkyo-Ku, Tokyo 113, Japan
129 Department of Radiology, Faculty of Medicine, University of Tokyo, Tokyo, Japan
130 rdf:type schema:Organization
 




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


...