Location of the transition zone in CT of small-bowel obstruction: added value of multiplanar reformations View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2009-01

AUTHORS

Jerome Hodel, Marc Zins, Loic Desmottes, Isabelle Boulay-Coletta, Marie Christine Jullès, Jean Pierre Nakache, Mathieu Rodallec

ABSTRACT

PURPOSE: To assess the additional value of multiplanar reformations (MPR) in comparison with axial images alone for location of the transition zone in CT of mechanical small-bowel obstruction (SBO). MATERIALS AND METHODS: Sixty-nine consecutive patients with mechanical SBO underwent 16-slice multi detector row CT (MDCT). The gold standard for the precise location of the transition zone was established by two experienced abdominal radiologists, unblinded to clinical and surgical reports, reviewing all CT examinations. On a workstation, two blinded readers independently located the transition zone using first axial slices alone and then 1 month later MPR (axial, coronal, sagittal and oblique views) according to a three-point confidence scale. Diagnostic accuracy and mean confidence score were evaluated for both the transverse and multiplanar data sets. RESULTS: Accuracy of transition zone location for reader 1 and reader 2 was 86% and 84% with axial slices alone, and by using MPR 93% (significant: P = 0.03) and 90% (not significant: P = 0.08), respectively. Mean confidence score was significantly increased for both readers using MPR: 0.3 higher (P = 0.0001) and 0.37 higher (P = 0.0001) respectively. CONCLUSION: MPR can increase both accuracy and confidence in the location of the transition zone in CT of SBO. More... »

PAGES

35-41

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00261-007-9348-4

DOI

http://dx.doi.org/10.1007/s00261-007-9348-4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1032267888

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/18172705


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/2008/1103", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Clinical Sciences", 
        "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"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adult", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "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": "Intestinal Obstruction", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Intestine, Small", 
        "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": "Radiographic Image Interpretation, Computer-Assisted", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Retrospective Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Tomography, X-Ray Computed", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "H\u00f4pital Saint-Joseph", 
          "id": "https://www.grid.ac/institutes/grid.414363.7", 
          "name": [
            "Department of Radiology, Saint Joseph Hospital, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hodel", 
        "givenName": "Jerome", 
        "id": "sg:person.01354370734.16", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01354370734.16"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "H\u00f4pital Saint-Joseph", 
          "id": "https://www.grid.ac/institutes/grid.414363.7", 
          "name": [
            "Department of Radiology, Saint Joseph Hospital, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zins", 
        "givenName": "Marc", 
        "id": "sg:person.01360232034.15", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01360232034.15"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "H\u00f4pital Saint-Joseph", 
          "id": "https://www.grid.ac/institutes/grid.414363.7", 
          "name": [
            "Department of Radiology, Saint Joseph Hospital, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Desmottes", 
        "givenName": "Loic", 
        "id": "sg:person.01333461357.25", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01333461357.25"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "H\u00f4pital Saint-Joseph", 
          "id": "https://www.grid.ac/institutes/grid.414363.7", 
          "name": [
            "Department of Radiology, Saint Joseph Hospital, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Boulay-Coletta", 
        "givenName": "Isabelle", 
        "id": "sg:person.01113425470.29", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01113425470.29"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "H\u00f4pital Saint-Joseph", 
          "id": "https://www.grid.ac/institutes/grid.414363.7", 
          "name": [
            "Department of Radiology, Saint Joseph Hospital, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jull\u00e8s", 
        "givenName": "Marie Christine", 
        "id": "sg:person.01011614332.51", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01011614332.51"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Department of Biostatistics, Inserm U 687, IFR 69, Villejuif, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nakache", 
        "givenName": "Jean Pierre", 
        "id": "sg:person.0675365732.33", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0675365732.33"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "H\u00f4pital Saint-Joseph", 
          "id": "https://www.grid.ac/institutes/grid.414363.7", 
          "name": [
            "Department of Radiology, Saint Joseph Hospital, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rodallec", 
        "givenName": "Mathieu", 
        "id": "sg:person.0677100034.84", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0677100034.84"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1148/radiographics.20.6.g00nv071787", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004028947"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10140-006-0513-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008827216", 
          "https://doi.org/10.1007/s10140-006-0513-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10140-006-0513-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008827216", 
          "https://doi.org/10.1007/s10140-006-0513-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiol.2381050489", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009004234"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiol.2353041231", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010450407"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0720-048x(03)00197-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011669419"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0720-048x(03)00197-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011669419"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiol.2253010886", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017262361"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiographics.21.2.g01mr05341", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023830087"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiol.2381050404", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036788513"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1365-2168.1998.00813.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037009131"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiographics.21.3.g01ma03613", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040785939"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiology.218.1.r01ja5439", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041475156"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0003-4975(03)01591-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048637650"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiol.2363041101", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051112834"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1259/bjr/30634988", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064568958"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2214/ajr.162.1.8273686", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069318343"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2214/ajr.162.2.8310906", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069318358"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2214/ajr.164.4.7726042", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069319269"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2214/ajr.165.5.7572500", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069319721"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2214/ajr.178.5.1781139", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069324700"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2214/ajr.179.4.1790875", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069324984"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2214/ajr.183.5.1831361", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069326463"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074532109", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiology.180.2.2068291", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1078196708"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2009-01", 
    "datePublishedReg": "2009-01-01", 
    "description": "PURPOSE: To assess the additional value of multiplanar reformations (MPR) in comparison with axial images alone for location of the transition zone in CT of mechanical small-bowel obstruction (SBO).\nMATERIALS AND METHODS: Sixty-nine consecutive patients with mechanical SBO underwent 16-slice multi detector row CT (MDCT). The gold standard for the precise location of the transition zone was established by two experienced abdominal radiologists, unblinded to clinical and surgical reports, reviewing all CT examinations. On a workstation, two blinded readers independently located the transition zone using first axial slices alone and then 1 month later MPR (axial, coronal, sagittal and oblique views) according to a three-point confidence scale. Diagnostic accuracy and mean confidence score were evaluated for both the transverse and multiplanar data sets.\nRESULTS: Accuracy of transition zone location for reader 1 and reader 2 was 86% and 84% with axial slices alone, and by using MPR 93% (significant: P = 0.03) and 90% (not significant: P = 0.08), respectively. Mean confidence score was significantly increased for both readers using MPR: 0.3 higher (P = 0.0001) and 0.37 higher (P = 0.0001) respectively.\nCONCLUSION: MPR can increase both accuracy and confidence in the location of the transition zone in CT of SBO.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00261-007-9348-4", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1297457", 
        "issn": [
          "2366-004X", 
          "2366-0058"
        ], 
        "name": "Abdominal Radiology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "34"
      }
    ], 
    "name": "Location of the transition zone in CT of small-bowel obstruction: added value of multiplanar reformations", 
    "pagination": "35-41", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "99b7ea04400add292e7d9849289d0f608391f67b60b7e9a27101eecd3e8c37dd"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "18172705"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "9303672"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00261-007-9348-4"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1032267888"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00261-007-9348-4", 
      "https://app.dimensions.ai/details/publication/pub.1032267888"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T14:34", 
    "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_13109_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs00261-007-9348-4"
  }
]
 

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/s00261-007-9348-4'

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/s00261-007-9348-4'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00261-007-9348-4'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00261-007-9348-4'


 

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

230 TRIPLES      21 PREDICATES      64 URIs      33 LITERALS      21 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00261-007-9348-4 schema:about N1f39d3aa0b114dd5a3ee77931e5f08a5
2 N469d98d243c54d98876e3fd57477cb5a
3 N4b6c6c5116a4459fbc622a2d65688d50
4 N4be5c4e44dc14c64958c3dc655a7270c
5 N728a868d679a43c3bb3ff5b90db23cdf
6 N8748c61bab12485183cac5b93132eacd
7 N90de6f8864e94d8cb1751c07d8459a06
8 Nac1cf5163b9f4ed19afacbf99b8df1a6
9 Nb32f7a75b3ed49218158d5aae9ce2188
10 Nb7d541d0c2534942a854f2c9751bada4
11 Ncd299b6bcf744577b7efb61eeed217fa
12 Nd905af31e2244745b6aa207a5c537e56
13 anzsrc-for:11
14 anzsrc-for:1103
15 schema:author N52febc5cff6c47828f7b70fd19340422
16 schema:citation sg:pub.10.1007/s10140-006-0513-9
17 https://app.dimensions.ai/details/publication/pub.1074532109
18 https://doi.org/10.1016/s0003-4975(03)01591-1
19 https://doi.org/10.1016/s0720-048x(03)00197-9
20 https://doi.org/10.1046/j.1365-2168.1998.00813.x
21 https://doi.org/10.1148/radiographics.20.6.g00nv071787
22 https://doi.org/10.1148/radiographics.21.2.g01mr05341
23 https://doi.org/10.1148/radiographics.21.3.g01ma03613
24 https://doi.org/10.1148/radiol.2253010886
25 https://doi.org/10.1148/radiol.2353041231
26 https://doi.org/10.1148/radiol.2363041101
27 https://doi.org/10.1148/radiol.2381050404
28 https://doi.org/10.1148/radiol.2381050489
29 https://doi.org/10.1148/radiology.180.2.2068291
30 https://doi.org/10.1148/radiology.218.1.r01ja5439
31 https://doi.org/10.1259/bjr/30634988
32 https://doi.org/10.2214/ajr.162.1.8273686
33 https://doi.org/10.2214/ajr.162.2.8310906
34 https://doi.org/10.2214/ajr.164.4.7726042
35 https://doi.org/10.2214/ajr.165.5.7572500
36 https://doi.org/10.2214/ajr.178.5.1781139
37 https://doi.org/10.2214/ajr.179.4.1790875
38 https://doi.org/10.2214/ajr.183.5.1831361
39 schema:datePublished 2009-01
40 schema:datePublishedReg 2009-01-01
41 schema:description PURPOSE: To assess the additional value of multiplanar reformations (MPR) in comparison with axial images alone for location of the transition zone in CT of mechanical small-bowel obstruction (SBO). MATERIALS AND METHODS: Sixty-nine consecutive patients with mechanical SBO underwent 16-slice multi detector row CT (MDCT). The gold standard for the precise location of the transition zone was established by two experienced abdominal radiologists, unblinded to clinical and surgical reports, reviewing all CT examinations. On a workstation, two blinded readers independently located the transition zone using first axial slices alone and then 1 month later MPR (axial, coronal, sagittal and oblique views) according to a three-point confidence scale. Diagnostic accuracy and mean confidence score were evaluated for both the transverse and multiplanar data sets. RESULTS: Accuracy of transition zone location for reader 1 and reader 2 was 86% and 84% with axial slices alone, and by using MPR 93% (significant: P = 0.03) and 90% (not significant: P = 0.08), respectively. Mean confidence score was significantly increased for both readers using MPR: 0.3 higher (P = 0.0001) and 0.37 higher (P = 0.0001) respectively. CONCLUSION: MPR can increase both accuracy and confidence in the location of the transition zone in CT of SBO.
42 schema:genre research_article
43 schema:inLanguage en
44 schema:isAccessibleForFree false
45 schema:isPartOf Nbbc97d94ea1c415d9bf61c6685361cee
46 Ncbfb0ff47e4b462c924dc033678e36ad
47 sg:journal.1297457
48 schema:name Location of the transition zone in CT of small-bowel obstruction: added value of multiplanar reformations
49 schema:pagination 35-41
50 schema:productId N436433ed76a84bfaa8914ecc59f2aa71
51 N64fee0a73bbc4adaa34db642f68ab200
52 N903a6593f69246be9aadc91831aee8ae
53 Na578ecf48fa14cb8a152bce2c5ae993b
54 Nae186940928746dfb28fda124e104e4e
55 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032267888
56 https://doi.org/10.1007/s00261-007-9348-4
57 schema:sdDatePublished 2019-04-11T14:34
58 schema:sdLicense https://scigraph.springernature.com/explorer/license/
59 schema:sdPublisher Nfafe98e407344647b39651cffc9d0979
60 schema:url http://link.springer.com/10.1007%2Fs00261-007-9348-4
61 sgo:license sg:explorer/license/
62 sgo:sdDataset articles
63 rdf:type schema:ScholarlyArticle
64 N1f39d3aa0b114dd5a3ee77931e5f08a5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
65 schema:name Intestine, Small
66 rdf:type schema:DefinedTerm
67 N33fad7cbdf9b4b5e987b7e6d446edc48 rdf:first sg:person.01113425470.29
68 rdf:rest Nffc5e831e8654affaec626e379deb46a
69 N436433ed76a84bfaa8914ecc59f2aa71 schema:name readcube_id
70 schema:value 99b7ea04400add292e7d9849289d0f608391f67b60b7e9a27101eecd3e8c37dd
71 rdf:type schema:PropertyValue
72 N469d98d243c54d98876e3fd57477cb5a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
73 schema:name Contrast Media
74 rdf:type schema:DefinedTerm
75 N4b6c6c5116a4459fbc622a2d65688d50 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
76 schema:name Female
77 rdf:type schema:DefinedTerm
78 N4be5c4e44dc14c64958c3dc655a7270c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
79 schema:name Aged
80 rdf:type schema:DefinedTerm
81 N52febc5cff6c47828f7b70fd19340422 rdf:first sg:person.01354370734.16
82 rdf:rest Nb3932eb55253425bb23ec8def51fdb44
83 N5e9543b6e89c4584820a9b848d34bc29 schema:name Department of Biostatistics, Inserm U 687, IFR 69, Villejuif, France
84 rdf:type schema:Organization
85 N64fee0a73bbc4adaa34db642f68ab200 schema:name nlm_unique_id
86 schema:value 9303672
87 rdf:type schema:PropertyValue
88 N728a868d679a43c3bb3ff5b90db23cdf schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
89 schema:name Adult
90 rdf:type schema:DefinedTerm
91 N760159ce930244979ff50c483eabe684 rdf:first sg:person.01333461357.25
92 rdf:rest N33fad7cbdf9b4b5e987b7e6d446edc48
93 N8748c61bab12485183cac5b93132eacd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
94 schema:name Humans
95 rdf:type schema:DefinedTerm
96 N903a6593f69246be9aadc91831aee8ae schema:name pubmed_id
97 schema:value 18172705
98 rdf:type schema:PropertyValue
99 N90de6f8864e94d8cb1751c07d8459a06 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
100 schema:name Intestinal Obstruction
101 rdf:type schema:DefinedTerm
102 Na578ecf48fa14cb8a152bce2c5ae993b schema:name dimensions_id
103 schema:value pub.1032267888
104 rdf:type schema:PropertyValue
105 Nac1cf5163b9f4ed19afacbf99b8df1a6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
106 schema:name Male
107 rdf:type schema:DefinedTerm
108 Nae186940928746dfb28fda124e104e4e schema:name doi
109 schema:value 10.1007/s00261-007-9348-4
110 rdf:type schema:PropertyValue
111 Nb32f7a75b3ed49218158d5aae9ce2188 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
112 schema:name Middle Aged
113 rdf:type schema:DefinedTerm
114 Nb3932eb55253425bb23ec8def51fdb44 rdf:first sg:person.01360232034.15
115 rdf:rest N760159ce930244979ff50c483eabe684
116 Nb786366e003e45f397ea14f2ed31eac4 rdf:first sg:person.0677100034.84
117 rdf:rest rdf:nil
118 Nb7d541d0c2534942a854f2c9751bada4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
119 schema:name Retrospective Studies
120 rdf:type schema:DefinedTerm
121 Nbbc97d94ea1c415d9bf61c6685361cee schema:issueNumber 1
122 rdf:type schema:PublicationIssue
123 Nc032ad931a5e4410ac08938e432663ab rdf:first sg:person.0675365732.33
124 rdf:rest Nb786366e003e45f397ea14f2ed31eac4
125 Ncbfb0ff47e4b462c924dc033678e36ad schema:volumeNumber 34
126 rdf:type schema:PublicationVolume
127 Ncd299b6bcf744577b7efb61eeed217fa schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
128 schema:name Radiographic Image Interpretation, Computer-Assisted
129 rdf:type schema:DefinedTerm
130 Nd905af31e2244745b6aa207a5c537e56 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
131 schema:name Tomography, X-Ray Computed
132 rdf:type schema:DefinedTerm
133 Nfafe98e407344647b39651cffc9d0979 schema:name Springer Nature - SN SciGraph project
134 rdf:type schema:Organization
135 Nffc5e831e8654affaec626e379deb46a rdf:first sg:person.01011614332.51
136 rdf:rest Nc032ad931a5e4410ac08938e432663ab
137 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
138 schema:name Medical and Health Sciences
139 rdf:type schema:DefinedTerm
140 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
141 schema:name Clinical Sciences
142 rdf:type schema:DefinedTerm
143 sg:journal.1297457 schema:issn 2366-004X
144 2366-0058
145 schema:name Abdominal Radiology
146 rdf:type schema:Periodical
147 sg:person.01011614332.51 schema:affiliation https://www.grid.ac/institutes/grid.414363.7
148 schema:familyName Jullès
149 schema:givenName Marie Christine
150 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01011614332.51
151 rdf:type schema:Person
152 sg:person.01113425470.29 schema:affiliation https://www.grid.ac/institutes/grid.414363.7
153 schema:familyName Boulay-Coletta
154 schema:givenName Isabelle
155 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01113425470.29
156 rdf:type schema:Person
157 sg:person.01333461357.25 schema:affiliation https://www.grid.ac/institutes/grid.414363.7
158 schema:familyName Desmottes
159 schema:givenName Loic
160 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01333461357.25
161 rdf:type schema:Person
162 sg:person.01354370734.16 schema:affiliation https://www.grid.ac/institutes/grid.414363.7
163 schema:familyName Hodel
164 schema:givenName Jerome
165 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01354370734.16
166 rdf:type schema:Person
167 sg:person.01360232034.15 schema:affiliation https://www.grid.ac/institutes/grid.414363.7
168 schema:familyName Zins
169 schema:givenName Marc
170 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01360232034.15
171 rdf:type schema:Person
172 sg:person.0675365732.33 schema:affiliation N5e9543b6e89c4584820a9b848d34bc29
173 schema:familyName Nakache
174 schema:givenName Jean Pierre
175 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0675365732.33
176 rdf:type schema:Person
177 sg:person.0677100034.84 schema:affiliation https://www.grid.ac/institutes/grid.414363.7
178 schema:familyName Rodallec
179 schema:givenName Mathieu
180 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0677100034.84
181 rdf:type schema:Person
182 sg:pub.10.1007/s10140-006-0513-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008827216
183 https://doi.org/10.1007/s10140-006-0513-9
184 rdf:type schema:CreativeWork
185 https://app.dimensions.ai/details/publication/pub.1074532109 schema:CreativeWork
186 https://doi.org/10.1016/s0003-4975(03)01591-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048637650
187 rdf:type schema:CreativeWork
188 https://doi.org/10.1016/s0720-048x(03)00197-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011669419
189 rdf:type schema:CreativeWork
190 https://doi.org/10.1046/j.1365-2168.1998.00813.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1037009131
191 rdf:type schema:CreativeWork
192 https://doi.org/10.1148/radiographics.20.6.g00nv071787 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004028947
193 rdf:type schema:CreativeWork
194 https://doi.org/10.1148/radiographics.21.2.g01mr05341 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023830087
195 rdf:type schema:CreativeWork
196 https://doi.org/10.1148/radiographics.21.3.g01ma03613 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040785939
197 rdf:type schema:CreativeWork
198 https://doi.org/10.1148/radiol.2253010886 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017262361
199 rdf:type schema:CreativeWork
200 https://doi.org/10.1148/radiol.2353041231 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010450407
201 rdf:type schema:CreativeWork
202 https://doi.org/10.1148/radiol.2363041101 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051112834
203 rdf:type schema:CreativeWork
204 https://doi.org/10.1148/radiol.2381050404 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036788513
205 rdf:type schema:CreativeWork
206 https://doi.org/10.1148/radiol.2381050489 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009004234
207 rdf:type schema:CreativeWork
208 https://doi.org/10.1148/radiology.180.2.2068291 schema:sameAs https://app.dimensions.ai/details/publication/pub.1078196708
209 rdf:type schema:CreativeWork
210 https://doi.org/10.1148/radiology.218.1.r01ja5439 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041475156
211 rdf:type schema:CreativeWork
212 https://doi.org/10.1259/bjr/30634988 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064568958
213 rdf:type schema:CreativeWork
214 https://doi.org/10.2214/ajr.162.1.8273686 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069318343
215 rdf:type schema:CreativeWork
216 https://doi.org/10.2214/ajr.162.2.8310906 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069318358
217 rdf:type schema:CreativeWork
218 https://doi.org/10.2214/ajr.164.4.7726042 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069319269
219 rdf:type schema:CreativeWork
220 https://doi.org/10.2214/ajr.165.5.7572500 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069319721
221 rdf:type schema:CreativeWork
222 https://doi.org/10.2214/ajr.178.5.1781139 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069324700
223 rdf:type schema:CreativeWork
224 https://doi.org/10.2214/ajr.179.4.1790875 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069324984
225 rdf:type schema:CreativeWork
226 https://doi.org/10.2214/ajr.183.5.1831361 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069326463
227 rdf:type schema:CreativeWork
228 https://www.grid.ac/institutes/grid.414363.7 schema:alternateName Hôpital Saint-Joseph
229 schema:name Department of Radiology, Saint Joseph Hospital, Paris, France
230 rdf:type schema:Organization
 




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


...