CT-Kolonographie: Pathologische Befunde und Pitfalls View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2008-01-17

AUTHORS

T. Mang, A. Graser, A. Maier, C. Mueller-Mang, G. Böhm, W. Schima

ABSTRACT

Thin-section multidetector-row computed tomographic (MDCT) colonography is a powerful tool for detection and classification of colonic lesions. It is based on a helical thin-section (0.75–2 mm) CT dataset of the cleansed and air-distended colon. 2D and 3D projections are prepared and used for image interpretation. Evaluation of CT colonography datasets requires correct perception and interpretation of colonic lesions and filling defects. Various criteria are needed for correct interpretation of filling defects and differentiaton between genuine lesions and artifacts. Such defects are characterized by their morphology, their structure, the absorption of contrast medium and their mobility. Knowledge of the morphologic and attenuation characteristics of common colonic lesions and of artifacts is essential for the correct interpretation of a filling defect. This review article summarizes the main imaging features of polyps, diverticula, lipomas, and carcinomas and also of common pseudolesions of the colon. More... »

PAGES

146-155

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00117-007-1614-5

DOI

http://dx.doi.org/10.1007/s00117-007-1614-5

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1011638541

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/18210056


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"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Artifacts", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Clinical Competence", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Colonic Diseases", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Colonic Neoplasms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Colonic Polyps", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Colonography, Computed Tomographic", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Diagnosis, Differential", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Diverticulosis, Colonic", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Intestinal Mucosa", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Lipoma", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sensitivity and Specificity", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Univ.-Klinik f\u00fcr Radiodiagnostik, Medizinische  Universit\u00e4t Wien, W\u00e4hringer G\u00fcrtel 18\u201320, A-1090, Wien, \u00d6sterreich", 
          "id": "http://www.grid.ac/institutes/grid.22937.3d", 
          "name": [
            "Univ.-Klinik f\u00fcr Radiodiagnostik, Medizinische  Universit\u00e4t Wien, W\u00e4hringer G\u00fcrtel 18\u201320, A-1090, Wien, \u00d6sterreich"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mang", 
        "givenName": "T.", 
        "id": "sg:person.01102762757.40", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01102762757.40"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institut f\u00fcr Klinische Radiologie, Klinikum Gro\u00dfhadern der LMU M\u00fcnchen, M\u00fcnchen, Deutschland", 
          "id": "http://www.grid.ac/institutes/grid.5252.0", 
          "name": [
            "Institut f\u00fcr Klinische Radiologie, Klinikum Gro\u00dfhadern der LMU M\u00fcnchen, M\u00fcnchen, Deutschland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Graser", 
        "givenName": "A.", 
        "id": "sg:person.0651352153.84", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0651352153.84"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Univ.-Klinik f\u00fcr Radiodiagnostik, Medizinische  Universit\u00e4t Wien, W\u00e4hringer G\u00fcrtel 18\u201320, A-1090, Wien, \u00d6sterreich", 
          "id": "http://www.grid.ac/institutes/grid.22937.3d", 
          "name": [
            "Univ.-Klinik f\u00fcr Radiodiagnostik, Medizinische  Universit\u00e4t Wien, W\u00e4hringer G\u00fcrtel 18\u201320, A-1090, Wien, \u00d6sterreich"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Maier", 
        "givenName": "A.", 
        "id": "sg:person.01226411627.12", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01226411627.12"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Univ.-Klinik f\u00fcr Radiodiagnostik, Medizinische  Universit\u00e4t Wien, W\u00e4hringer G\u00fcrtel 18\u201320, A-1090, Wien, \u00d6sterreich", 
          "id": "http://www.grid.ac/institutes/grid.22937.3d", 
          "name": [
            "Univ.-Klinik f\u00fcr Radiodiagnostik, Medizinische  Universit\u00e4t Wien, W\u00e4hringer G\u00fcrtel 18\u201320, A-1090, Wien, \u00d6sterreich"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mueller-Mang", 
        "givenName": "C.", 
        "id": "sg:person.01334463646.11", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01334463646.11"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Abteilung f\u00fcr diagnostische und interventionellen Radiologie, A.\u00f6. Krankenhaus der Elisabethinen Linz, Linz, \u00d6sterreich", 
          "id": "http://www.grid.ac/institutes/grid.414473.1", 
          "name": [
            "Abteilung f\u00fcr diagnostische und interventionellen Radiologie, A.\u00f6. Krankenhaus der Elisabethinen Linz, Linz, \u00d6sterreich"
          ], 
          "type": "Organization"
        }, 
        "familyName": "B\u00f6hm", 
        "givenName": "G.", 
        "id": "sg:person.0616314204.05", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0616314204.05"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Univ.-Klinik f\u00fcr Radiodiagnostik, Medizinische  Universit\u00e4t Wien, W\u00e4hringer G\u00fcrtel 18\u201320, A-1090, Wien, \u00d6sterreich", 
          "id": "http://www.grid.ac/institutes/grid.22937.3d", 
          "name": [
            "Univ.-Klinik f\u00fcr Radiodiagnostik, Medizinische  Universit\u00e4t Wien, W\u00e4hringer G\u00fcrtel 18\u201320, A-1090, Wien, \u00d6sterreich"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Schima", 
        "givenName": "W.", 
        "id": "sg:person.0643031251.50", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0643031251.50"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s00261-005-0340-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006417029", 
          "https://doi.org/10.1007/s00261-005-0340-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00261-001-0170-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047600123", 
          "https://doi.org/10.1007/s00261-001-0170-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-003-1973-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018369403", 
          "https://doi.org/10.1007/s00330-003-1973-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-002-1770-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007137252", 
          "https://doi.org/10.1007/s00330-002-1770-y"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2008-01-17", 
    "datePublishedReg": "2008-01-17", 
    "description": "Thin-section multidetector-row computed tomographic (MDCT) colonography is a powerful tool for detection and classification of colonic lesions. It is based on a helical thin-section (0.75\u20132\u00a0mm) CT dataset of the cleansed and air-distended colon. 2D and 3D projections are prepared and used for image interpretation. Evaluation of CT colonography datasets requires correct perception and interpretation of colonic lesions and filling defects. Various criteria are needed for correct interpretation of filling defects and differentiaton between genuine lesions and artifacts. Such defects are characterized by their morphology, their structure, the absorption of contrast medium and their mobility. Knowledge of the morphologic and attenuation characteristics of common colonic lesions and of artifacts is essential for the correct interpretation of a filling defect. This review article summarizes the main imaging features of polyps, diverticula, lipomas, and carcinomas and also of common pseudolesions of the colon.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s00117-007-1614-5", 
    "inLanguage": "de", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1018339", 
        "issn": [
          "0033-832X", 
          "1432-2102"
        ], 
        "name": "Der Radiologe", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "48"
      }
    ], 
    "keywords": [
      "colonic lesions", 
      "air-distended colon", 
      "main imaging features", 
      "common colonic lesions", 
      "filling defect", 
      "imaging features", 
      "contrast medium", 
      "lesions", 
      "tomographic colonography", 
      "colon", 
      "review article", 
      "carcinoma", 
      "correct interpretation", 
      "diverticulum", 
      "lipoma", 
      "CT datasets", 
      "pseudolesions", 
      "polyps", 
      "defects", 
      "colonography", 
      "correct perception", 
      "differentiaton", 
      "image interpretation", 
      "such defects", 
      "CT colonography datasets", 
      "evaluation", 
      "criteria", 
      "pitfalls", 
      "detection", 
      "classification", 
      "perception", 
      "knowledge", 
      "projections", 
      "features", 
      "interpretation", 
      "characteristics", 
      "powerful tool", 
      "tool", 
      "absorption", 
      "article", 
      "medium", 
      "morphology", 
      "artifacts", 
      "mobility", 
      "dataset", 
      "attenuation characteristics", 
      "structure", 
      "colonography datasets", 
      "genuine lesions", 
      "common pseudolesions", 
      "Pathologische Befunde und Pitfalls", 
      "Befunde und Pitfalls", 
      "und Pitfalls"
    ], 
    "name": "CT-Kolonographie: Pathologische Befunde und Pitfalls", 
    "pagination": "146-155", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1011638541"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00117-007-1614-5"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "18210056"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00117-007-1614-5", 
      "https://app.dimensions.ai/details/publication/pub.1011638541"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2021-12-01T19:19", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20211201/entities/gbq_results/article/article_468.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s00117-007-1614-5"
  }
]
 

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/s00117-007-1614-5'

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/s00117-007-1614-5'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00117-007-1614-5'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00117-007-1614-5'


 

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

220 TRIPLES      22 PREDICATES      94 URIs      82 LITERALS      19 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00117-007-1614-5 schema:about N1c766858a6994d2089d1bcdbe994fa2c
2 N3c362b58b6bc40969bbf12f2970fe52b
3 N3eadaec2c8bb4054b27d92defc4bdab3
4 N4ed34f09e5de49afaf26e0edc7b0ddcc
5 N72acc8eb1c4d4ebbaf9c0066da28b1e8
6 N756d75b20e794265804a0e3a89389161
7 N820a461f043c4c8b8571100cb943932f
8 N8f0d0713e0f6454296a2e7d0514ea814
9 N9ae18c7c06884bd0825e82e6dcdfcc0e
10 Nd8999c163aa64e4891204d1d47625aaa
11 Ne586a38e74a64b2f8ee12fb6b2b3219c
12 Nea4fc03376404f59bba7ce6e7ac25f46
13 anzsrc-for:11
14 anzsrc-for:1103
15 schema:author Nb4a07371412d43dcb228f9868c2b8c6b
16 schema:citation sg:pub.10.1007/s00261-001-0170-0
17 sg:pub.10.1007/s00261-005-0340-6
18 sg:pub.10.1007/s00330-002-1770-y
19 sg:pub.10.1007/s00330-003-1973-x
20 schema:datePublished 2008-01-17
21 schema:datePublishedReg 2008-01-17
22 schema:description Thin-section multidetector-row computed tomographic (MDCT) colonography is a powerful tool for detection and classification of colonic lesions. It is based on a helical thin-section (0.75–2 mm) CT dataset of the cleansed and air-distended colon. 2D and 3D projections are prepared and used for image interpretation. Evaluation of CT colonography datasets requires correct perception and interpretation of colonic lesions and filling defects. Various criteria are needed for correct interpretation of filling defects and differentiaton between genuine lesions and artifacts. Such defects are characterized by their morphology, their structure, the absorption of contrast medium and their mobility. Knowledge of the morphologic and attenuation characteristics of common colonic lesions and of artifacts is essential for the correct interpretation of a filling defect. This review article summarizes the main imaging features of polyps, diverticula, lipomas, and carcinomas and also of common pseudolesions of the colon.
23 schema:genre article
24 schema:inLanguage de
25 schema:isAccessibleForFree false
26 schema:isPartOf N6a76530367fb4ec0bbbd06c49829970b
27 Na8518e80142b48928cf582e098632fd4
28 sg:journal.1018339
29 schema:keywords Befunde und Pitfalls
30 CT colonography datasets
31 CT datasets
32 Pathologische Befunde und Pitfalls
33 absorption
34 air-distended colon
35 article
36 artifacts
37 attenuation characteristics
38 carcinoma
39 characteristics
40 classification
41 colon
42 colonic lesions
43 colonography
44 colonography datasets
45 common colonic lesions
46 common pseudolesions
47 contrast medium
48 correct interpretation
49 correct perception
50 criteria
51 dataset
52 defects
53 detection
54 differentiaton
55 diverticulum
56 evaluation
57 features
58 filling defect
59 genuine lesions
60 image interpretation
61 imaging features
62 interpretation
63 knowledge
64 lesions
65 lipoma
66 main imaging features
67 medium
68 mobility
69 morphology
70 perception
71 pitfalls
72 polyps
73 powerful tool
74 projections
75 pseudolesions
76 review article
77 structure
78 such defects
79 tomographic colonography
80 tool
81 und Pitfalls
82 schema:name CT-Kolonographie: Pathologische Befunde und Pitfalls
83 schema:pagination 146-155
84 schema:productId N043c50a61ef143a6a5ca1850dc9f0066
85 Nb54a5c4ce6ef43ce95b6eb27c8763674
86 Nd50d0c9017c94c508897b09be8d11718
87 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011638541
88 https://doi.org/10.1007/s00117-007-1614-5
89 schema:sdDatePublished 2021-12-01T19:19
90 schema:sdLicense https://scigraph.springernature.com/explorer/license/
91 schema:sdPublisher N4b9a75bc4e3e42d58c4be09f8678ce5e
92 schema:url https://doi.org/10.1007/s00117-007-1614-5
93 sgo:license sg:explorer/license/
94 sgo:sdDataset articles
95 rdf:type schema:ScholarlyArticle
96 N043c50a61ef143a6a5ca1850dc9f0066 schema:name pubmed_id
97 schema:value 18210056
98 rdf:type schema:PropertyValue
99 N1c766858a6994d2089d1bcdbe994fa2c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
100 schema:name Colonic Polyps
101 rdf:type schema:DefinedTerm
102 N3c362b58b6bc40969bbf12f2970fe52b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
103 schema:name Sensitivity and Specificity
104 rdf:type schema:DefinedTerm
105 N3eadaec2c8bb4054b27d92defc4bdab3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
106 schema:name Colonic Diseases
107 rdf:type schema:DefinedTerm
108 N47559d5a7b7044d199ee882e3ddb5cd2 rdf:first sg:person.0651352153.84
109 rdf:rest Nbd2eb12935154d9c886541d91c7f77a0
110 N4b9a75bc4e3e42d58c4be09f8678ce5e schema:name Springer Nature - SN SciGraph project
111 rdf:type schema:Organization
112 N4ed34f09e5de49afaf26e0edc7b0ddcc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
113 schema:name Colonography, Computed Tomographic
114 rdf:type schema:DefinedTerm
115 N6a76530367fb4ec0bbbd06c49829970b schema:volumeNumber 48
116 rdf:type schema:PublicationVolume
117 N6bdec1e4eff84613be220a99c0350095 rdf:first sg:person.0616314204.05
118 rdf:rest Nc191706213224b6bb3a4e41282317668
119 N6c4e08a456f649ac9e480edd039e18ee rdf:first sg:person.01334463646.11
120 rdf:rest N6bdec1e4eff84613be220a99c0350095
121 N72acc8eb1c4d4ebbaf9c0066da28b1e8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
122 schema:name Intestinal Mucosa
123 rdf:type schema:DefinedTerm
124 N756d75b20e794265804a0e3a89389161 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
125 schema:name Diagnosis, Differential
126 rdf:type schema:DefinedTerm
127 N820a461f043c4c8b8571100cb943932f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
128 schema:name Humans
129 rdf:type schema:DefinedTerm
130 N8f0d0713e0f6454296a2e7d0514ea814 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
131 schema:name Artifacts
132 rdf:type schema:DefinedTerm
133 N9ae18c7c06884bd0825e82e6dcdfcc0e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
134 schema:name Lipoma
135 rdf:type schema:DefinedTerm
136 Na8518e80142b48928cf582e098632fd4 schema:issueNumber 2
137 rdf:type schema:PublicationIssue
138 Nb4a07371412d43dcb228f9868c2b8c6b rdf:first sg:person.01102762757.40
139 rdf:rest N47559d5a7b7044d199ee882e3ddb5cd2
140 Nb54a5c4ce6ef43ce95b6eb27c8763674 schema:name doi
141 schema:value 10.1007/s00117-007-1614-5
142 rdf:type schema:PropertyValue
143 Nbd2eb12935154d9c886541d91c7f77a0 rdf:first sg:person.01226411627.12
144 rdf:rest N6c4e08a456f649ac9e480edd039e18ee
145 Nc191706213224b6bb3a4e41282317668 rdf:first sg:person.0643031251.50
146 rdf:rest rdf:nil
147 Nd50d0c9017c94c508897b09be8d11718 schema:name dimensions_id
148 schema:value pub.1011638541
149 rdf:type schema:PropertyValue
150 Nd8999c163aa64e4891204d1d47625aaa schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
151 schema:name Colonic Neoplasms
152 rdf:type schema:DefinedTerm
153 Ne586a38e74a64b2f8ee12fb6b2b3219c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
154 schema:name Clinical Competence
155 rdf:type schema:DefinedTerm
156 Nea4fc03376404f59bba7ce6e7ac25f46 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
157 schema:name Diverticulosis, Colonic
158 rdf:type schema:DefinedTerm
159 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
160 schema:name Medical and Health Sciences
161 rdf:type schema:DefinedTerm
162 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
163 schema:name Clinical Sciences
164 rdf:type schema:DefinedTerm
165 sg:journal.1018339 schema:issn 0033-832X
166 1432-2102
167 schema:name Der Radiologe
168 schema:publisher Springer Nature
169 rdf:type schema:Periodical
170 sg:person.01102762757.40 schema:affiliation grid-institutes:grid.22937.3d
171 schema:familyName Mang
172 schema:givenName T.
173 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01102762757.40
174 rdf:type schema:Person
175 sg:person.01226411627.12 schema:affiliation grid-institutes:grid.22937.3d
176 schema:familyName Maier
177 schema:givenName A.
178 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01226411627.12
179 rdf:type schema:Person
180 sg:person.01334463646.11 schema:affiliation grid-institutes:grid.22937.3d
181 schema:familyName Mueller-Mang
182 schema:givenName C.
183 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01334463646.11
184 rdf:type schema:Person
185 sg:person.0616314204.05 schema:affiliation grid-institutes:grid.414473.1
186 schema:familyName Böhm
187 schema:givenName G.
188 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0616314204.05
189 rdf:type schema:Person
190 sg:person.0643031251.50 schema:affiliation grid-institutes:grid.22937.3d
191 schema:familyName Schima
192 schema:givenName W.
193 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0643031251.50
194 rdf:type schema:Person
195 sg:person.0651352153.84 schema:affiliation grid-institutes:grid.5252.0
196 schema:familyName Graser
197 schema:givenName A.
198 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0651352153.84
199 rdf:type schema:Person
200 sg:pub.10.1007/s00261-001-0170-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047600123
201 https://doi.org/10.1007/s00261-001-0170-0
202 rdf:type schema:CreativeWork
203 sg:pub.10.1007/s00261-005-0340-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006417029
204 https://doi.org/10.1007/s00261-005-0340-6
205 rdf:type schema:CreativeWork
206 sg:pub.10.1007/s00330-002-1770-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1007137252
207 https://doi.org/10.1007/s00330-002-1770-y
208 rdf:type schema:CreativeWork
209 sg:pub.10.1007/s00330-003-1973-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1018369403
210 https://doi.org/10.1007/s00330-003-1973-x
211 rdf:type schema:CreativeWork
212 grid-institutes:grid.22937.3d schema:alternateName Univ.-Klinik für Radiodiagnostik, Medizinische Universität Wien, Währinger Gürtel 18–20, A-1090, Wien, Österreich
213 schema:name Univ.-Klinik für Radiodiagnostik, Medizinische Universität Wien, Währinger Gürtel 18–20, A-1090, Wien, Österreich
214 rdf:type schema:Organization
215 grid-institutes:grid.414473.1 schema:alternateName Abteilung für diagnostische und interventionellen Radiologie, A.ö. Krankenhaus der Elisabethinen Linz, Linz, Österreich
216 schema:name Abteilung für diagnostische und interventionellen Radiologie, A.ö. Krankenhaus der Elisabethinen Linz, Linz, Österreich
217 rdf:type schema:Organization
218 grid-institutes:grid.5252.0 schema:alternateName Institut für Klinische Radiologie, Klinikum Großhadern der LMU München, München, Deutschland
219 schema:name Institut für Klinische Radiologie, Klinikum Großhadern der LMU München, München, Deutschland
220 rdf:type schema:Organization
 




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


...