Comparison of contrast-enhanced ultrasonography versus baseline ultrasound and contrast-enhanced computed tomography in metastatic disease of the liver: diagnostic performance and ... View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2006-03-22

AUTHORS

Emilio Quaia, Mirko D’Onofrio, Alessandro Palumbo, Stefania Rossi, Stefano Bruni, Maria Cova

ABSTRACT

Aim: The aim of this study was to compare contrast-enhanced ultrasonography (CEUS) to baseline US and contrast-enhanced computed tomography (CT) in metastatic disease of the liver diagnosed or suspected by US during presurgical staging or postsurgical follow-up for primary malignancies. Materials and methods: Two hundred-fifty-three patients considered suitable for US due to the complete explorability of the liver and with one to five proven or suspected liver metastases at baseline US were included. All patients underwent US before and after microbubble injection, and multiphase contrast-enhanced CT. Independent panels of readers reviewed US and CT scans and recorded liver metastases according to a 5-grade scale of diagnostic confidence. Sensitivity, specificity (diagnostic performance) and area under the receiver operating characteristics (ROC) curve (diagnostic confidence) were calculated. Results: Reference standards revealed no metastases in 57/253, more than five in 59/253, and one to five in 137/253 patients. In patients with one to five metastases, CEUS versus baseline US revealed more metastases in 64/137 and the same number in 73/137 patients while CEUS versus CT revealed more metastases in 10/137, the same number in 99/137, and lower number in 28/137. Sensitivity, specificity, and area under ROC curve of CEUS (83%, 84%, 0.929, respectively) differed from baseline US (40%, 63%, 0.579, respectively; P<0.01) while did not differ from CT (89%, 89%, 0.945, respectively; P>0.05). Conclusion: CEUS improved liver metastases diagnosis in comparison with baseline US while it revealed similar diagnostic performance and confidence to contrast-enhanced CT in patients considered suitable for US and with proven or suspected liver metastases at baseline US. More... »

PAGES

1599-1609

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00330-006-0192-7

DOI

http://dx.doi.org/10.1007/s00330-006-0192-7

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1046661323

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/16552507


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": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged, 80 and over", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Contrast Media", 
        "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": "Liver Neoplasms", 
        "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": "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": "Tomography, X-Ray Computed", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Ultrasonography", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Department of Radiology, Cattinara Hospital, University of Trieste, Strada di Fiume 447, 34149, Trieste, Italy", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Department of Radiology, Cattinara Hospital, University of Trieste, Strada di Fiume 447, 34149, Trieste, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Quaia", 
        "givenName": "Emilio", 
        "id": "sg:person.01026457335.21", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01026457335.21"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Radiology, University of Verona, Hospital G.B. Rossi, Piazza L.A. Scuro 10, 37134, Verona, Italy", 
          "id": "http://www.grid.ac/institutes/grid.5611.3", 
          "name": [
            "Department of Radiology, University of Verona, Hospital G.B. Rossi, Piazza L.A. Scuro 10, 37134, Verona, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "D\u2019Onofrio", 
        "givenName": "Mirko", 
        "id": "sg:person.01030633356.42", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01030633356.42"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Radiology, Cattinara Hospital, University of Trieste, Strada di Fiume 447, 34149, Trieste, Italy", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Department of Radiology, Cattinara Hospital, University of Trieste, Strada di Fiume 447, 34149, Trieste, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Palumbo", 
        "givenName": "Alessandro", 
        "id": "sg:person.0746260477.40", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0746260477.40"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Radiology, Cattinara Hospital, University of Trieste, Strada di Fiume 447, 34149, Trieste, Italy", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Department of Radiology, Cattinara Hospital, University of Trieste, Strada di Fiume 447, 34149, Trieste, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rossi", 
        "givenName": "Stefania", 
        "id": "sg:person.01155421507.60", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01155421507.60"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Radiology, Cattinara Hospital, University of Trieste, Strada di Fiume 447, 34149, Trieste, Italy", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Department of Radiology, Cattinara Hospital, University of Trieste, Strada di Fiume 447, 34149, Trieste, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bruni", 
        "givenName": "Stefano", 
        "id": "sg:person.01226434372.85", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01226434372.85"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Radiology, Cattinara Hospital, University of Trieste, Strada di Fiume 447, 34149, Trieste, Italy", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Department of Radiology, Cattinara Hospital, University of Trieste, Strada di Fiume 447, 34149, Trieste, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cova", 
        "givenName": "Maria", 
        "id": "sg:person.0713522460.07", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0713522460.07"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s00330-002-1670-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1075240164", 
          "https://doi.org/10.1007/s00330-002-1670-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-004-2334-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004082592", 
          "https://doi.org/10.1007/s00330-004-2334-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s002689910009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008896183", 
          "https://doi.org/10.1007/s002689910009"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s003300000593", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004023941", 
          "https://doi.org/10.1007/s003300000593"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-004-2620-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010952284", 
          "https://doi.org/10.1007/s00330-004-2620-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01656368", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004306230", 
          "https://doi.org/10.1007/bf01656368"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s003300000624", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037586452", 
          "https://doi.org/10.1007/s003300000624"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s003300100940", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031024747", 
          "https://doi.org/10.1007/s003300100940"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/3-540-27214-3_4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053700208", 
          "https://doi.org/10.1007/3-540-27214-3_4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10406-004-0079-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034984781", 
          "https://doi.org/10.1007/s10406-004-0079-0"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2006-03-22", 
    "datePublishedReg": "2006-03-22", 
    "description": "Aim: The aim of this study was to compare contrast-enhanced ultrasonography (CEUS) to baseline US and contrast-enhanced computed tomography (CT) in metastatic disease of the liver diagnosed or suspected by US during presurgical staging or postsurgical follow-up for primary malignancies. Materials and methods: Two hundred-fifty-three patients considered suitable for US due to the complete explorability of the liver and with one to five proven or suspected liver metastases at baseline US were included. All patients underwent US before and after microbubble injection, and multiphase contrast-enhanced CT. Independent panels of readers reviewed US and CT scans and recorded liver metastases according to a 5-grade scale of diagnostic confidence. Sensitivity, specificity (diagnostic performance) and area under the receiver operating characteristics (ROC) curve (diagnostic confidence) were calculated. Results: Reference standards revealed no metastases in 57/253, more than five in 59/253, and one to five in 137/253 patients. In patients with one to five metastases, CEUS versus baseline US revealed more metastases in 64/137 and the same number in 73/137 patients while CEUS versus CT revealed more metastases in 10/137, the same number in 99/137, and lower number in 28/137. Sensitivity, specificity, and area under ROC curve of CEUS (83%, 84%, 0.929, respectively) differed from baseline US (40%, 63%, 0.579, respectively; P<0.01) while did not differ from CT (89%, 89%, 0.945, respectively; P>0.05). Conclusion: CEUS improved liver metastases diagnosis in comparison with baseline US while it revealed similar diagnostic performance and confidence to contrast-enhanced CT in patients considered suitable for US and with proven or suspected liver metastases at baseline US.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s00330-006-0192-7", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1289120", 
        "issn": [
          "0938-7994", 
          "1432-1084"
        ], 
        "name": "European Radiology", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "7", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "16"
      }
    ], 
    "keywords": [
      "contrast-enhanced computed tomography", 
      "contrast-enhanced ultrasonography", 
      "contrast-enhanced CT", 
      "liver metastases", 
      "baseline US", 
      "metastatic disease", 
      "more metastases", 
      "computed tomography", 
      "liver metastasis diagnosis", 
      "diagnostic performance", 
      "similar diagnostic performance", 
      "primary malignancy", 
      "presurgical staging", 
      "baseline ultrasound", 
      "metastasis diagnosis", 
      "CT scan", 
      "patients", 
      "metastasis", 
      "diagnostic confidence", 
      "liver", 
      "ROC curve", 
      "characteristic curve", 
      "ultrasonography", 
      "reference standard", 
      "disease", 
      "independent panel", 
      "microbubble injection", 
      "tomography", 
      "low number", 
      "malignancy", 
      "staging", 
      "specificity", 
      "diagnosis", 
      "ultrasound", 
      "scans", 
      "injection", 
      "same number", 
      "sensitivity", 
      "aim", 
      "number", 
      "confidence", 
      "study", 
      "uses", 
      "curves", 
      "comparison", 
      "panel", 
      "area", 
      "standards", 
      "scale", 
      "receiver", 
      "method", 
      "materials", 
      "readers", 
      "performance", 
      "explorability"
    ], 
    "name": "Comparison of contrast-enhanced ultrasonography versus baseline ultrasound and contrast-enhanced computed tomography in metastatic disease of the liver: diagnostic performance and confidence", 
    "pagination": "1599-1609", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1046661323"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00330-006-0192-7"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "16552507"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00330-006-0192-7", 
      "https://app.dimensions.ai/details/publication/pub.1046661323"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-05-20T07:23", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220519/entities/gbq_results/article/article_411.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s00330-006-0192-7"
  }
]
 

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.10.1007/s00330-006-0192-7'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00330-006-0192-7'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00330-006-0192-7'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00330-006-0192-7'


 

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

247 TRIPLES      22 PREDICATES      104 URIs      86 LITERALS      20 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00330-006-0192-7 schema:about N4d592aaf15404c9499a8295e55219bba
2 N729de073512f4acbac9466047e9c2010
3 N82ff749eb3cb41b1ac732d5f0a54a8fe
4 N990e6ae0250f4c9f86752670006203d6
5 Nae3333ba9691461f823b8ca060e3fe31
6 Nb1d592fd9ba6487dbf03af9ab7e1ddbf
7 Nc4b7bfcdcb184d29be8af31adc0e5af1
8 Nd9720d0cdd1c4a479e792430a6eddb7f
9 Ne77d28b93366424ab6303493ae8f5e71
10 Nee12fe2c32564121bdbfc3eb0e986ed1
11 Nef531a2783c54dd7833a091dd1888028
12 Nf204c6bd58994889821d829ed9261a1f
13 Nf7981e39cc8f48d996f7e5c2693f2f1d
14 anzsrc-for:11
15 anzsrc-for:1103
16 schema:author Nc8a555ee7bc147069cf7ba50708d8b1d
17 schema:citation sg:pub.10.1007/3-540-27214-3_4
18 sg:pub.10.1007/bf01656368
19 sg:pub.10.1007/s002689910009
20 sg:pub.10.1007/s00330-002-1670-1
21 sg:pub.10.1007/s00330-004-2334-0
22 sg:pub.10.1007/s00330-004-2620-x
23 sg:pub.10.1007/s003300000593
24 sg:pub.10.1007/s003300000624
25 sg:pub.10.1007/s003300100940
26 sg:pub.10.1007/s10406-004-0079-0
27 schema:datePublished 2006-03-22
28 schema:datePublishedReg 2006-03-22
29 schema:description Aim: The aim of this study was to compare contrast-enhanced ultrasonography (CEUS) to baseline US and contrast-enhanced computed tomography (CT) in metastatic disease of the liver diagnosed or suspected by US during presurgical staging or postsurgical follow-up for primary malignancies. Materials and methods: Two hundred-fifty-three patients considered suitable for US due to the complete explorability of the liver and with one to five proven or suspected liver metastases at baseline US were included. All patients underwent US before and after microbubble injection, and multiphase contrast-enhanced CT. Independent panels of readers reviewed US and CT scans and recorded liver metastases according to a 5-grade scale of diagnostic confidence. Sensitivity, specificity (diagnostic performance) and area under the receiver operating characteristics (ROC) curve (diagnostic confidence) were calculated. Results: Reference standards revealed no metastases in 57/253, more than five in 59/253, and one to five in 137/253 patients. In patients with one to five metastases, CEUS versus baseline US revealed more metastases in 64/137 and the same number in 73/137 patients while CEUS versus CT revealed more metastases in 10/137, the same number in 99/137, and lower number in 28/137. Sensitivity, specificity, and area under ROC curve of CEUS (83%, 84%, 0.929, respectively) differed from baseline US (40%, 63%, 0.579, respectively; P<0.01) while did not differ from CT (89%, 89%, 0.945, respectively; P>0.05). Conclusion: CEUS improved liver metastases diagnosis in comparison with baseline US while it revealed similar diagnostic performance and confidence to contrast-enhanced CT in patients considered suitable for US and with proven or suspected liver metastases at baseline US.
30 schema:genre article
31 schema:inLanguage en
32 schema:isAccessibleForFree false
33 schema:isPartOf N6770621bf2af4b488d2b8fdf95f9f447
34 N93c0a3c8941d4893a1578aeb3a60cbd5
35 sg:journal.1289120
36 schema:keywords CT scan
37 ROC curve
38 aim
39 area
40 baseline US
41 baseline ultrasound
42 characteristic curve
43 comparison
44 computed tomography
45 confidence
46 contrast-enhanced CT
47 contrast-enhanced computed tomography
48 contrast-enhanced ultrasonography
49 curves
50 diagnosis
51 diagnostic confidence
52 diagnostic performance
53 disease
54 explorability
55 independent panel
56 injection
57 liver
58 liver metastases
59 liver metastasis diagnosis
60 low number
61 malignancy
62 materials
63 metastasis
64 metastasis diagnosis
65 metastatic disease
66 method
67 microbubble injection
68 more metastases
69 number
70 panel
71 patients
72 performance
73 presurgical staging
74 primary malignancy
75 readers
76 receiver
77 reference standard
78 same number
79 scale
80 scans
81 sensitivity
82 similar diagnostic performance
83 specificity
84 staging
85 standards
86 study
87 tomography
88 ultrasonography
89 ultrasound
90 uses
91 schema:name Comparison of contrast-enhanced ultrasonography versus baseline ultrasound and contrast-enhanced computed tomography in metastatic disease of the liver: diagnostic performance and confidence
92 schema:pagination 1599-1609
93 schema:productId N51b2abf09ec74aa0b0d528cfa61432d7
94 N7f8229a400484faaac28795a8b4f907f
95 Nb747ac05c9914d4abec216d2b39cb9bc
96 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046661323
97 https://doi.org/10.1007/s00330-006-0192-7
98 schema:sdDatePublished 2022-05-20T07:23
99 schema:sdLicense https://scigraph.springernature.com/explorer/license/
100 schema:sdPublisher Ncab81d7e0a214c06a8b4e0c510684c16
101 schema:url https://doi.org/10.1007/s00330-006-0192-7
102 sgo:license sg:explorer/license/
103 sgo:sdDataset articles
104 rdf:type schema:ScholarlyArticle
105 N31de343bf6574d07b884d9f5c78e87d7 rdf:first sg:person.01030633356.42
106 rdf:rest N42e0ca18f204448692fb94fa9251a3d6
107 N358495ccb8d24cf78ab7355ee858f5e3 rdf:first sg:person.0713522460.07
108 rdf:rest rdf:nil
109 N42e0ca18f204448692fb94fa9251a3d6 rdf:first sg:person.0746260477.40
110 rdf:rest Neb3f758704d14bb79809eb498510982a
111 N4d592aaf15404c9499a8295e55219bba schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
112 schema:name Male
113 rdf:type schema:DefinedTerm
114 N51b2abf09ec74aa0b0d528cfa61432d7 schema:name doi
115 schema:value 10.1007/s00330-006-0192-7
116 rdf:type schema:PropertyValue
117 N56e8bcfc1966471299c3d47f42ed9d65 rdf:first sg:person.01226434372.85
118 rdf:rest N358495ccb8d24cf78ab7355ee858f5e3
119 N6770621bf2af4b488d2b8fdf95f9f447 schema:issueNumber 7
120 rdf:type schema:PublicationIssue
121 N729de073512f4acbac9466047e9c2010 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
122 schema:name Female
123 rdf:type schema:DefinedTerm
124 N7f8229a400484faaac28795a8b4f907f schema:name dimensions_id
125 schema:value pub.1046661323
126 rdf:type schema:PropertyValue
127 N82ff749eb3cb41b1ac732d5f0a54a8fe schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
128 schema:name Contrast Media
129 rdf:type schema:DefinedTerm
130 N93c0a3c8941d4893a1578aeb3a60cbd5 schema:volumeNumber 16
131 rdf:type schema:PublicationVolume
132 N990e6ae0250f4c9f86752670006203d6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
133 schema:name Middle Aged
134 rdf:type schema:DefinedTerm
135 Nae3333ba9691461f823b8ca060e3fe31 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
136 schema:name Reproducibility of Results
137 rdf:type schema:DefinedTerm
138 Nb1d592fd9ba6487dbf03af9ab7e1ddbf schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
139 schema:name Ultrasonography
140 rdf:type schema:DefinedTerm
141 Nb747ac05c9914d4abec216d2b39cb9bc schema:name pubmed_id
142 schema:value 16552507
143 rdf:type schema:PropertyValue
144 Nc4b7bfcdcb184d29be8af31adc0e5af1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
145 schema:name Tomography, X-Ray Computed
146 rdf:type schema:DefinedTerm
147 Nc8a555ee7bc147069cf7ba50708d8b1d rdf:first sg:person.01026457335.21
148 rdf:rest N31de343bf6574d07b884d9f5c78e87d7
149 Ncab81d7e0a214c06a8b4e0c510684c16 schema:name Springer Nature - SN SciGraph project
150 rdf:type schema:Organization
151 Nd9720d0cdd1c4a479e792430a6eddb7f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
152 schema:name Liver Neoplasms
153 rdf:type schema:DefinedTerm
154 Ne77d28b93366424ab6303493ae8f5e71 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
155 schema:name Aged
156 rdf:type schema:DefinedTerm
157 Neb3f758704d14bb79809eb498510982a rdf:first sg:person.01155421507.60
158 rdf:rest N56e8bcfc1966471299c3d47f42ed9d65
159 Nee12fe2c32564121bdbfc3eb0e986ed1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
160 schema:name Sensitivity and Specificity
161 rdf:type schema:DefinedTerm
162 Nef531a2783c54dd7833a091dd1888028 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
163 schema:name Image Enhancement
164 rdf:type schema:DefinedTerm
165 Nf204c6bd58994889821d829ed9261a1f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
166 schema:name Humans
167 rdf:type schema:DefinedTerm
168 Nf7981e39cc8f48d996f7e5c2693f2f1d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
169 schema:name Aged, 80 and over
170 rdf:type schema:DefinedTerm
171 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
172 schema:name Medical and Health Sciences
173 rdf:type schema:DefinedTerm
174 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
175 schema:name Clinical Sciences
176 rdf:type schema:DefinedTerm
177 sg:journal.1289120 schema:issn 0938-7994
178 1432-1084
179 schema:name European Radiology
180 schema:publisher Springer Nature
181 rdf:type schema:Periodical
182 sg:person.01026457335.21 schema:affiliation grid-institutes:None
183 schema:familyName Quaia
184 schema:givenName Emilio
185 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01026457335.21
186 rdf:type schema:Person
187 sg:person.01030633356.42 schema:affiliation grid-institutes:grid.5611.3
188 schema:familyName D’Onofrio
189 schema:givenName Mirko
190 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01030633356.42
191 rdf:type schema:Person
192 sg:person.01155421507.60 schema:affiliation grid-institutes:None
193 schema:familyName Rossi
194 schema:givenName Stefania
195 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01155421507.60
196 rdf:type schema:Person
197 sg:person.01226434372.85 schema:affiliation grid-institutes:None
198 schema:familyName Bruni
199 schema:givenName Stefano
200 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01226434372.85
201 rdf:type schema:Person
202 sg:person.0713522460.07 schema:affiliation grid-institutes:None
203 schema:familyName Cova
204 schema:givenName Maria
205 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0713522460.07
206 rdf:type schema:Person
207 sg:person.0746260477.40 schema:affiliation grid-institutes:None
208 schema:familyName Palumbo
209 schema:givenName Alessandro
210 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0746260477.40
211 rdf:type schema:Person
212 sg:pub.10.1007/3-540-27214-3_4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053700208
213 https://doi.org/10.1007/3-540-27214-3_4
214 rdf:type schema:CreativeWork
215 sg:pub.10.1007/bf01656368 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004306230
216 https://doi.org/10.1007/bf01656368
217 rdf:type schema:CreativeWork
218 sg:pub.10.1007/s002689910009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008896183
219 https://doi.org/10.1007/s002689910009
220 rdf:type schema:CreativeWork
221 sg:pub.10.1007/s00330-002-1670-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1075240164
222 https://doi.org/10.1007/s00330-002-1670-1
223 rdf:type schema:CreativeWork
224 sg:pub.10.1007/s00330-004-2334-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004082592
225 https://doi.org/10.1007/s00330-004-2334-0
226 rdf:type schema:CreativeWork
227 sg:pub.10.1007/s00330-004-2620-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1010952284
228 https://doi.org/10.1007/s00330-004-2620-x
229 rdf:type schema:CreativeWork
230 sg:pub.10.1007/s003300000593 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004023941
231 https://doi.org/10.1007/s003300000593
232 rdf:type schema:CreativeWork
233 sg:pub.10.1007/s003300000624 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037586452
234 https://doi.org/10.1007/s003300000624
235 rdf:type schema:CreativeWork
236 sg:pub.10.1007/s003300100940 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031024747
237 https://doi.org/10.1007/s003300100940
238 rdf:type schema:CreativeWork
239 sg:pub.10.1007/s10406-004-0079-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034984781
240 https://doi.org/10.1007/s10406-004-0079-0
241 rdf:type schema:CreativeWork
242 grid-institutes:None schema:alternateName Department of Radiology, Cattinara Hospital, University of Trieste, Strada di Fiume 447, 34149, Trieste, Italy
243 schema:name Department of Radiology, Cattinara Hospital, University of Trieste, Strada di Fiume 447, 34149, Trieste, Italy
244 rdf:type schema:Organization
245 grid-institutes:grid.5611.3 schema:alternateName Department of Radiology, University of Verona, Hospital G.B. Rossi, Piazza L.A. Scuro 10, 37134, Verona, Italy
246 schema:name Department of Radiology, University of Verona, Hospital G.B. Rossi, Piazza L.A. Scuro 10, 37134, Verona, Italy
247 rdf:type schema:Organization
 




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


...