Differential diagnosis of pancreatic cancer from other solid tumours arising from the periampullary area on MDCT View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2015-10

AUTHORS

Suk Ki Jang, Jung Hoon Kim, Ijin Joo, Ju Hyun Jeon, Kyung Sook Shin, Joon Koo Han, Byung Ihn Choi

ABSTRACT

PURPOSE: To investigate CT features and differential diagnosis of pancreatic adenocarcinoma compared to other solid tumours arising in the periampullary area. MATERIALS AND METHODS: One hundred and ninety-five patients with pathologically proven, solid periampullary tumours, including pancreatic adenocarcinoma (n = 98), neuroendocrine tumours (n = 52), gastrointestinal stromal tumours (n = 31), and solid pseudopapillary neoplasms (n = 14), underwent preoperative CT. Two radiologists reviewed CT features and rated the possibility of pancreatic adenocarcinoma. RESULTS: Statistically common findings for pancreatic adenocarcinoma included: patient age >50 years; ill-defined margin; completely solid mass; homogeneous enhancement; hypoenhancement on arterial and venous phases; atrophy; and duct dilatation. Statistically common findings for GIST included: heterogeneous enhancement; hyperenhancement on arterial and venous phases; rim enhancement; and prominent feeding arteries. The hyperenhancement on arterial and venous phases is statistically common in NET, and heterogeneous enhancement, hypoenhancement on the arterial and venous phases are statistically common in SPN. Diagnostic performance of CT for differentiating pancreatic adenocarcinomas from other solid periampullary tumours was 0.962 and 0.977 with excellent interobserver agreement (κ = 0.824). CONCLUSION: CT is useful not only for differentiating pancreatic adenocarcinoma form other solid tumours but also for differentiating between other solid tumours, including NET, SPN, and GIST, arising in the periampullary area. KEY POINTS: • Periampullary tumours arise within 2 cm of major duodenal papilla. • Many mass-forming periampullary tumours can be completely removed by minimal surgery. • Accurate differentiation of pancreatic adenocarcinoma from other solid tumours is important. • CT is useful for differentiating pancreatic adenocarcinoma from other solid tumours. • CT is useful for characterization of periampullary tumours other than adenocarcinomas. More... »

PAGES

2880-2888

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00330-015-3721-4

DOI

http://dx.doi.org/10.1007/s00330-015-3721-4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1011777269

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/25916385


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": "Adenocarcinoma", 
        "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": "Ampulla of Vater", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Carcinoma, Neuroendocrine", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Diagnosis, Differential", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Gastrointestinal Stromal Tumors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "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": "Multidetector Computed Tomography", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Observer Variation", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Pancreatic Neoplasms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Preoperative Care", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Bundang Jesaeng Hospital", 
          "id": "https://www.grid.ac/institutes/grid.413128.d", 
          "name": [
            "Departments of Radiology, Daejin Medical Center, Bundang Jesaeng General Hospital, 20, Seohyeon-ro 180beon-gil, Bundang-gu, 463-774, Seognam-si, Gyeonggi-do, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jang", 
        "givenName": "Suk Ki", 
        "id": "sg:person.01124431217.77", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01124431217.77"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Seoul National University", 
          "id": "https://www.grid.ac/institutes/grid.31501.36", 
          "name": [
            "Department of Radiology and Institute of Radiation Medicine, Seoul National University College of Medicine, 101 Daehang-no, Jongno-gu, 110-744, Chongno-gu, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kim", 
        "givenName": "Jung Hoon", 
        "id": "sg:person.014534173224.00", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014534173224.00"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Seoul National University", 
          "id": "https://www.grid.ac/institutes/grid.31501.36", 
          "name": [
            "Department of Radiology and Institute of Radiation Medicine, Seoul National University College of Medicine, 101 Daehang-no, Jongno-gu, 110-744, Chongno-gu, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Joo", 
        "givenName": "Ijin", 
        "id": "sg:person.01301443145.43", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01301443145.43"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Seoul National University", 
          "id": "https://www.grid.ac/institutes/grid.31501.36", 
          "name": [
            "Department of Radiology and Institute of Radiation Medicine, Seoul National University College of Medicine, 101 Daehang-no, Jongno-gu, 110-744, Chongno-gu, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jeon", 
        "givenName": "Ju Hyun", 
        "id": "sg:person.01313414766.79", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01313414766.79"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Chungnam National University", 
          "id": "https://www.grid.ac/institutes/grid.254230.2", 
          "name": [
            "Department of Radiology, Chungnam National University School of Medicine, 266 Munhwa-ro, 301-721, Daejeon, Jung-gu, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Shin", 
        "givenName": "Kyung Sook", 
        "id": "sg:person.01257101722.98", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01257101722.98"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Seoul National University", 
          "id": "https://www.grid.ac/institutes/grid.31501.36", 
          "name": [
            "Department of Radiology and Institute of Radiation Medicine, Seoul National University College of Medicine, 101 Daehang-no, Jongno-gu, 110-744, Chongno-gu, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Han", 
        "givenName": "Joon Koo", 
        "id": "sg:person.0647723014.95", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0647723014.95"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Seoul National University", 
          "id": "https://www.grid.ac/institutes/grid.31501.36", 
          "name": [
            "Department of Radiology and Institute of Radiation Medicine, Seoul National University College of Medicine, 101 Daehang-no, Jongno-gu, 110-744, Chongno-gu, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Choi", 
        "givenName": "Byung Ihn", 
        "id": "sg:person.0716036214.08", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0716036214.08"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s00330-014-3532-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000685045", 
          "https://doi.org/10.1007/s00330-014-3532-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00247-005-1461-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000833089", 
          "https://doi.org/10.1007/s00247-005-1461-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00247-005-1461-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000833089", 
          "https://doi.org/10.1007/s00247-005-1461-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/rg.226025060", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002472819"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.sla.0000143248.71964.29", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006102220"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.sla.0000143248.71964.29", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006102220"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiol.11101189", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006236867"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-014-3317-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014739166", 
          "https://doi.org/10.1007/s00330-014-3317-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/bjs.4794", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017294169"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/13651820500540949", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019809523"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-006-0435-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020729615", 
          "https://doi.org/10.1007/s00330-006-0435-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-006-0435-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020729615", 
          "https://doi.org/10.1007/s00330-006-0435-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiol.2243011284", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021302289"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jamcollsurg.2005.02.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025321296"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jamcollsurg.2005.02.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025321296"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/rg.262055097", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025934183"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00261-009-9539-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032171095", 
          "https://doi.org/10.1007/s00261-009-9539-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00261-009-9539-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032171095", 
          "https://doi.org/10.1007/s00261-009-9539-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00261-009-9539-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032171095", 
          "https://doi.org/10.1007/s00261-009-9539-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-009-1422-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038439476", 
          "https://doi.org/10.1007/s00330-009-1422-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-009-1422-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038439476", 
          "https://doi.org/10.1007/s00330-009-1422-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-009-1422-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038439476", 
          "https://doi.org/10.1007/s00330-009-1422-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.beem.2004.11.013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044751465"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/rg.276075034", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045849874"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s002689900599", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046295957", 
          "https://doi.org/10.1007/s002689900599"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.crad.2006.07.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046900255"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.amjsurg.2012.11.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051073830"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1055/s-2007-1010273", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057483393"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2214/ajr.173.3.10470884", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069322607"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2214/ajr.182.3.1820619", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069326001"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3748/wjg.15.829", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071362163"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074605894", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074989236", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/rg.314105731", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1078425158"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3978/j.issn.2078-6891.2011.036", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1078596264"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiology.199.3.8637992", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1082888599"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiology.202.3.9051012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083053352"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2015-10", 
    "datePublishedReg": "2015-10-01", 
    "description": "PURPOSE: To investigate CT features and differential diagnosis of pancreatic adenocarcinoma compared to other solid tumours arising in the periampullary area.\nMATERIALS AND METHODS: One hundred and ninety-five patients with pathologically proven, solid periampullary tumours, including pancreatic adenocarcinoma (n\u2009=\u200998), neuroendocrine tumours (n\u2009=\u200952), gastrointestinal stromal tumours (n\u2009=\u200931), and solid pseudopapillary neoplasms (n\u2009=\u200914), underwent preoperative CT. Two radiologists reviewed CT features and rated the possibility of pancreatic adenocarcinoma.\nRESULTS: Statistically common findings for pancreatic adenocarcinoma included: patient age >50\u00a0years; ill-defined margin; completely solid mass; homogeneous enhancement; hypoenhancement on arterial and venous phases; atrophy; and duct dilatation. Statistically common findings for GIST included: heterogeneous enhancement; hyperenhancement on arterial and venous phases; rim enhancement; and prominent feeding arteries. The hyperenhancement on arterial and venous phases is statistically common in NET, and heterogeneous enhancement, hypoenhancement on the arterial and venous phases are statistically common in SPN. Diagnostic performance of CT for differentiating pancreatic adenocarcinomas from other solid periampullary tumours was 0.962 and 0.977 with excellent interobserver agreement (\u03ba\u2009=\u20090.824).\nCONCLUSION: CT is useful not only for differentiating pancreatic adenocarcinoma form other solid tumours but also for differentiating between other solid tumours, including NET, SPN, and GIST, arising in the periampullary area.\nKEY POINTS: \u2022 Periampullary tumours arise within 2\u00a0cm of major duodenal papilla. \u2022 Many mass-forming periampullary tumours can be completely removed by minimal surgery. \u2022 Accurate differentiation of pancreatic adenocarcinoma from other solid tumours is important. \u2022 CT is useful for differentiating pancreatic adenocarcinoma from other solid tumours. \u2022 CT is useful for characterization of periampullary tumours other than adenocarcinomas.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00330-015-3721-4", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1289120", 
        "issn": [
          "0938-7994", 
          "1432-1084"
        ], 
        "name": "European Radiology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "10", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "25"
      }
    ], 
    "name": "Differential diagnosis of pancreatic cancer from other solid tumours arising from the periampullary area on MDCT", 
    "pagination": "2880-2888", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "381d063ad1a19f02a182192cfa2ba33fd80d01346119820dd4c862cf7f6232ec"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "25916385"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "9114774"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00330-015-3721-4"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1011777269"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00330-015-3721-4", 
      "https://app.dimensions.ai/details/publication/pub.1011777269"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T00:15", 
    "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/v90/0000000001_0000000264/records_8695_00000511.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs00330-015-3721-4"
  }
]
 

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/s00330-015-3721-4'

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/s00330-015-3721-4'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00330-015-3721-4'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00330-015-3721-4'


 

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

269 TRIPLES      21 PREDICATES      73 URIs      36 LITERALS      24 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00330-015-3721-4 schema:about N11474321c9794a0daa2212e97d429ead
2 N3a7430666e2b4d16811501917889405a
3 N474f7346c4f44fdda772bb86feea7dcd
4 N58d80f9c3bd8411ebf2a93e2cdf10cae
5 N73088ae83fcf4e2281fd4253b2f238b1
6 N814cacb059814214a3798afd0b9efaae
7 Nb13ca49be81d46bea99f6c813b163561
8 Nb28ec077c4eb4668a87d3725e379c696
9 Nb823146acb08489e8b5d1f81b27dddbf
10 Nbe6b65d64b8e4cb98839bdc4ef881e99
11 Ncb3ebd4175334b399f92b90bdfa5fe61
12 Nd12dd30930b0432eb3a555a03ff70dfd
13 Nd63583224058427ab10b2988281ed294
14 Nda31e254fa324b9e9b54b5e87a1e89ce
15 Ndae468cefaba4cd4b04a83ed767cd1f7
16 anzsrc-for:11
17 anzsrc-for:1103
18 schema:author N5e828828901f4e128fafe259c17d3624
19 schema:citation sg:pub.10.1007/s00247-005-1461-3
20 sg:pub.10.1007/s00261-009-9539-2
21 sg:pub.10.1007/s002689900599
22 sg:pub.10.1007/s00330-006-0435-7
23 sg:pub.10.1007/s00330-009-1422-6
24 sg:pub.10.1007/s00330-014-3317-4
25 sg:pub.10.1007/s00330-014-3532-z
26 https://app.dimensions.ai/details/publication/pub.1074605894
27 https://app.dimensions.ai/details/publication/pub.1074989236
28 https://doi.org/10.1002/bjs.4794
29 https://doi.org/10.1016/j.amjsurg.2012.11.010
30 https://doi.org/10.1016/j.beem.2004.11.013
31 https://doi.org/10.1016/j.crad.2006.07.005
32 https://doi.org/10.1016/j.jamcollsurg.2005.02.011
33 https://doi.org/10.1055/s-2007-1010273
34 https://doi.org/10.1080/13651820500540949
35 https://doi.org/10.1097/01.sla.0000143248.71964.29
36 https://doi.org/10.1148/radiol.11101189
37 https://doi.org/10.1148/radiol.2243011284
38 https://doi.org/10.1148/radiology.199.3.8637992
39 https://doi.org/10.1148/radiology.202.3.9051012
40 https://doi.org/10.1148/rg.226025060
41 https://doi.org/10.1148/rg.262055097
42 https://doi.org/10.1148/rg.276075034
43 https://doi.org/10.1148/rg.314105731
44 https://doi.org/10.2214/ajr.173.3.10470884
45 https://doi.org/10.2214/ajr.182.3.1820619
46 https://doi.org/10.3748/wjg.15.829
47 https://doi.org/10.3978/j.issn.2078-6891.2011.036
48 schema:datePublished 2015-10
49 schema:datePublishedReg 2015-10-01
50 schema:description PURPOSE: To investigate CT features and differential diagnosis of pancreatic adenocarcinoma compared to other solid tumours arising in the periampullary area. MATERIALS AND METHODS: One hundred and ninety-five patients with pathologically proven, solid periampullary tumours, including pancreatic adenocarcinoma (n = 98), neuroendocrine tumours (n = 52), gastrointestinal stromal tumours (n = 31), and solid pseudopapillary neoplasms (n = 14), underwent preoperative CT. Two radiologists reviewed CT features and rated the possibility of pancreatic adenocarcinoma. RESULTS: Statistically common findings for pancreatic adenocarcinoma included: patient age >50 years; ill-defined margin; completely solid mass; homogeneous enhancement; hypoenhancement on arterial and venous phases; atrophy; and duct dilatation. Statistically common findings for GIST included: heterogeneous enhancement; hyperenhancement on arterial and venous phases; rim enhancement; and prominent feeding arteries. The hyperenhancement on arterial and venous phases is statistically common in NET, and heterogeneous enhancement, hypoenhancement on the arterial and venous phases are statistically common in SPN. Diagnostic performance of CT for differentiating pancreatic adenocarcinomas from other solid periampullary tumours was 0.962 and 0.977 with excellent interobserver agreement (κ = 0.824). CONCLUSION: CT is useful not only for differentiating pancreatic adenocarcinoma form other solid tumours but also for differentiating between other solid tumours, including NET, SPN, and GIST, arising in the periampullary area. KEY POINTS: • Periampullary tumours arise within 2 cm of major duodenal papilla. • Many mass-forming periampullary tumours can be completely removed by minimal surgery. • Accurate differentiation of pancreatic adenocarcinoma from other solid tumours is important. • CT is useful for differentiating pancreatic adenocarcinoma from other solid tumours. • CT is useful for characterization of periampullary tumours other than adenocarcinomas.
51 schema:genre research_article
52 schema:inLanguage en
53 schema:isAccessibleForFree false
54 schema:isPartOf N2f87443cbe1641e3a373636c2fbe287e
55 Nee34bf7eae484efeb6399f54533cda89
56 sg:journal.1289120
57 schema:name Differential diagnosis of pancreatic cancer from other solid tumours arising from the periampullary area on MDCT
58 schema:pagination 2880-2888
59 schema:productId N32ff1911b70c46b3988e4bf19229675c
60 N6718d1e3e6e84d1aae79d9ebd7dde158
61 N79353e757c414319ac875780b321d131
62 Nb40bb6fae07f42f8b36f2fa85a263dae
63 Ne9daad0dcad54b1cba1f42e0ca6d7261
64 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011777269
65 https://doi.org/10.1007/s00330-015-3721-4
66 schema:sdDatePublished 2019-04-11T00:15
67 schema:sdLicense https://scigraph.springernature.com/explorer/license/
68 schema:sdPublisher Nacbb00c183ed45c7979b5773dc8cd7de
69 schema:url http://link.springer.com/10.1007%2Fs00330-015-3721-4
70 sgo:license sg:explorer/license/
71 sgo:sdDataset articles
72 rdf:type schema:ScholarlyArticle
73 N01c96f11147d4b86ba41df8f9463e303 rdf:first sg:person.014534173224.00
74 rdf:rest Nda9db1492db04beb8cd532a29a56359e
75 N11474321c9794a0daa2212e97d429ead schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
76 schema:name Middle Aged
77 rdf:type schema:DefinedTerm
78 N14e44e561d264e49aacb659606f1f3bd rdf:first sg:person.0647723014.95
79 rdf:rest N6ad1bd64b04e41109c4aec5469bc83d6
80 N2f87443cbe1641e3a373636c2fbe287e schema:volumeNumber 25
81 rdf:type schema:PublicationVolume
82 N32ff1911b70c46b3988e4bf19229675c schema:name readcube_id
83 schema:value 381d063ad1a19f02a182192cfa2ba33fd80d01346119820dd4c862cf7f6232ec
84 rdf:type schema:PropertyValue
85 N3451df8fe56b43f4b78a5c5b5b08a01b rdf:first sg:person.01257101722.98
86 rdf:rest N14e44e561d264e49aacb659606f1f3bd
87 N3561cea5ed1e422e9f8eb531b001107a rdf:first sg:person.01313414766.79
88 rdf:rest N3451df8fe56b43f4b78a5c5b5b08a01b
89 N3a7430666e2b4d16811501917889405a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
90 schema:name Aged
91 rdf:type schema:DefinedTerm
92 N474f7346c4f44fdda772bb86feea7dcd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
93 schema:name Carcinoma, Neuroendocrine
94 rdf:type schema:DefinedTerm
95 N58d80f9c3bd8411ebf2a93e2cdf10cae schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
96 schema:name Preoperative Care
97 rdf:type schema:DefinedTerm
98 N5e828828901f4e128fafe259c17d3624 rdf:first sg:person.01124431217.77
99 rdf:rest N01c96f11147d4b86ba41df8f9463e303
100 N6718d1e3e6e84d1aae79d9ebd7dde158 schema:name pubmed_id
101 schema:value 25916385
102 rdf:type schema:PropertyValue
103 N6ad1bd64b04e41109c4aec5469bc83d6 rdf:first sg:person.0716036214.08
104 rdf:rest rdf:nil
105 N73088ae83fcf4e2281fd4253b2f238b1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
106 schema:name Female
107 rdf:type schema:DefinedTerm
108 N79353e757c414319ac875780b321d131 schema:name dimensions_id
109 schema:value pub.1011777269
110 rdf:type schema:PropertyValue
111 N814cacb059814214a3798afd0b9efaae schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
112 schema:name Pancreatic Neoplasms
113 rdf:type schema:DefinedTerm
114 Nacbb00c183ed45c7979b5773dc8cd7de schema:name Springer Nature - SN SciGraph project
115 rdf:type schema:Organization
116 Nb13ca49be81d46bea99f6c813b163561 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
117 schema:name Adult
118 rdf:type schema:DefinedTerm
119 Nb28ec077c4eb4668a87d3725e379c696 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
120 schema:name Gastrointestinal Stromal Tumors
121 rdf:type schema:DefinedTerm
122 Nb40bb6fae07f42f8b36f2fa85a263dae schema:name doi
123 schema:value 10.1007/s00330-015-3721-4
124 rdf:type schema:PropertyValue
125 Nb823146acb08489e8b5d1f81b27dddbf schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
126 schema:name Ampulla of Vater
127 rdf:type schema:DefinedTerm
128 Nbe6b65d64b8e4cb98839bdc4ef881e99 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
129 schema:name Multidetector Computed Tomography
130 rdf:type schema:DefinedTerm
131 Ncb3ebd4175334b399f92b90bdfa5fe61 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
132 schema:name Male
133 rdf:type schema:DefinedTerm
134 Nd12dd30930b0432eb3a555a03ff70dfd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
135 schema:name Humans
136 rdf:type schema:DefinedTerm
137 Nd63583224058427ab10b2988281ed294 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
138 schema:name Adenocarcinoma
139 rdf:type schema:DefinedTerm
140 Nda31e254fa324b9e9b54b5e87a1e89ce schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
141 schema:name Observer Variation
142 rdf:type schema:DefinedTerm
143 Nda9db1492db04beb8cd532a29a56359e rdf:first sg:person.01301443145.43
144 rdf:rest N3561cea5ed1e422e9f8eb531b001107a
145 Ndae468cefaba4cd4b04a83ed767cd1f7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
146 schema:name Diagnosis, Differential
147 rdf:type schema:DefinedTerm
148 Ne9daad0dcad54b1cba1f42e0ca6d7261 schema:name nlm_unique_id
149 schema:value 9114774
150 rdf:type schema:PropertyValue
151 Nee34bf7eae484efeb6399f54533cda89 schema:issueNumber 10
152 rdf:type schema:PublicationIssue
153 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
154 schema:name Medical and Health Sciences
155 rdf:type schema:DefinedTerm
156 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
157 schema:name Clinical Sciences
158 rdf:type schema:DefinedTerm
159 sg:journal.1289120 schema:issn 0938-7994
160 1432-1084
161 schema:name European Radiology
162 rdf:type schema:Periodical
163 sg:person.01124431217.77 schema:affiliation https://www.grid.ac/institutes/grid.413128.d
164 schema:familyName Jang
165 schema:givenName Suk Ki
166 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01124431217.77
167 rdf:type schema:Person
168 sg:person.01257101722.98 schema:affiliation https://www.grid.ac/institutes/grid.254230.2
169 schema:familyName Shin
170 schema:givenName Kyung Sook
171 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01257101722.98
172 rdf:type schema:Person
173 sg:person.01301443145.43 schema:affiliation https://www.grid.ac/institutes/grid.31501.36
174 schema:familyName Joo
175 schema:givenName Ijin
176 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01301443145.43
177 rdf:type schema:Person
178 sg:person.01313414766.79 schema:affiliation https://www.grid.ac/institutes/grid.31501.36
179 schema:familyName Jeon
180 schema:givenName Ju Hyun
181 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01313414766.79
182 rdf:type schema:Person
183 sg:person.014534173224.00 schema:affiliation https://www.grid.ac/institutes/grid.31501.36
184 schema:familyName Kim
185 schema:givenName Jung Hoon
186 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014534173224.00
187 rdf:type schema:Person
188 sg:person.0647723014.95 schema:affiliation https://www.grid.ac/institutes/grid.31501.36
189 schema:familyName Han
190 schema:givenName Joon Koo
191 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0647723014.95
192 rdf:type schema:Person
193 sg:person.0716036214.08 schema:affiliation https://www.grid.ac/institutes/grid.31501.36
194 schema:familyName Choi
195 schema:givenName Byung Ihn
196 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0716036214.08
197 rdf:type schema:Person
198 sg:pub.10.1007/s00247-005-1461-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000833089
199 https://doi.org/10.1007/s00247-005-1461-3
200 rdf:type schema:CreativeWork
201 sg:pub.10.1007/s00261-009-9539-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032171095
202 https://doi.org/10.1007/s00261-009-9539-2
203 rdf:type schema:CreativeWork
204 sg:pub.10.1007/s002689900599 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046295957
205 https://doi.org/10.1007/s002689900599
206 rdf:type schema:CreativeWork
207 sg:pub.10.1007/s00330-006-0435-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020729615
208 https://doi.org/10.1007/s00330-006-0435-7
209 rdf:type schema:CreativeWork
210 sg:pub.10.1007/s00330-009-1422-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038439476
211 https://doi.org/10.1007/s00330-009-1422-6
212 rdf:type schema:CreativeWork
213 sg:pub.10.1007/s00330-014-3317-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014739166
214 https://doi.org/10.1007/s00330-014-3317-4
215 rdf:type schema:CreativeWork
216 sg:pub.10.1007/s00330-014-3532-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1000685045
217 https://doi.org/10.1007/s00330-014-3532-z
218 rdf:type schema:CreativeWork
219 https://app.dimensions.ai/details/publication/pub.1074605894 schema:CreativeWork
220 https://app.dimensions.ai/details/publication/pub.1074989236 schema:CreativeWork
221 https://doi.org/10.1002/bjs.4794 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017294169
222 rdf:type schema:CreativeWork
223 https://doi.org/10.1016/j.amjsurg.2012.11.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051073830
224 rdf:type schema:CreativeWork
225 https://doi.org/10.1016/j.beem.2004.11.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044751465
226 rdf:type schema:CreativeWork
227 https://doi.org/10.1016/j.crad.2006.07.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046900255
228 rdf:type schema:CreativeWork
229 https://doi.org/10.1016/j.jamcollsurg.2005.02.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025321296
230 rdf:type schema:CreativeWork
231 https://doi.org/10.1055/s-2007-1010273 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057483393
232 rdf:type schema:CreativeWork
233 https://doi.org/10.1080/13651820500540949 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019809523
234 rdf:type schema:CreativeWork
235 https://doi.org/10.1097/01.sla.0000143248.71964.29 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006102220
236 rdf:type schema:CreativeWork
237 https://doi.org/10.1148/radiol.11101189 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006236867
238 rdf:type schema:CreativeWork
239 https://doi.org/10.1148/radiol.2243011284 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021302289
240 rdf:type schema:CreativeWork
241 https://doi.org/10.1148/radiology.199.3.8637992 schema:sameAs https://app.dimensions.ai/details/publication/pub.1082888599
242 rdf:type schema:CreativeWork
243 https://doi.org/10.1148/radiology.202.3.9051012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083053352
244 rdf:type schema:CreativeWork
245 https://doi.org/10.1148/rg.226025060 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002472819
246 rdf:type schema:CreativeWork
247 https://doi.org/10.1148/rg.262055097 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025934183
248 rdf:type schema:CreativeWork
249 https://doi.org/10.1148/rg.276075034 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045849874
250 rdf:type schema:CreativeWork
251 https://doi.org/10.1148/rg.314105731 schema:sameAs https://app.dimensions.ai/details/publication/pub.1078425158
252 rdf:type schema:CreativeWork
253 https://doi.org/10.2214/ajr.173.3.10470884 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069322607
254 rdf:type schema:CreativeWork
255 https://doi.org/10.2214/ajr.182.3.1820619 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069326001
256 rdf:type schema:CreativeWork
257 https://doi.org/10.3748/wjg.15.829 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071362163
258 rdf:type schema:CreativeWork
259 https://doi.org/10.3978/j.issn.2078-6891.2011.036 schema:sameAs https://app.dimensions.ai/details/publication/pub.1078596264
260 rdf:type schema:CreativeWork
261 https://www.grid.ac/institutes/grid.254230.2 schema:alternateName Chungnam National University
262 schema:name Department of Radiology, Chungnam National University School of Medicine, 266 Munhwa-ro, 301-721, Daejeon, Jung-gu, Korea
263 rdf:type schema:Organization
264 https://www.grid.ac/institutes/grid.31501.36 schema:alternateName Seoul National University
265 schema:name Department of Radiology and Institute of Radiation Medicine, Seoul National University College of Medicine, 101 Daehang-no, Jongno-gu, 110-744, Chongno-gu, Seoul, Korea
266 rdf:type schema:Organization
267 https://www.grid.ac/institutes/grid.413128.d schema:alternateName Bundang Jesaeng Hospital
268 schema:name Departments of Radiology, Daejin Medical Center, Bundang Jesaeng General Hospital, 20, Seohyeon-ro 180beon-gil, Bundang-gu, 463-774, Seognam-si, Gyeonggi-do, Korea
269 rdf:type schema:Organization
 




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


...