The Morphological Classification of a Serous Cystic Tumor (SCT) of the Pancreas and Evaluation of the Preoperative Diagnostic Accuracy of ... View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2008-08

AUTHORS

Seung Eun Lee, Yujin Kwon, Jin-Young Jang, Young-Hun Kim, Dae Wook Hwang, Min A. Kim, Se Hyung Kim, Sun-Whe Kim

ABSTRACT

BACKGROUND: Although the honeycomb microcystic type is common and typical for a serous cystic tumor (SCT), clinical and radiological features are diverse. Systematic classification of SCT subtypes is not well established. The purpose of this study was to classify the subtypes of SCT and to clarify its clinical and pathological characteristics. METHODS: Clinical data from 52 patients with a pathologically confirmed SCT were prospectively collected using a standard data form. According to cyst size and multiplicity, on gross and radiological evaluation, the cysts were classified as microcystic when they were smaller than 2 cm, and macrocystic when larger than 2 cm. The microcystic tumors were subdivided into honeycomb and solid types, while the macrocystic tumors into unilocular and multilocular types based on the number of cysts. RESULTS: There were 22 cases with microcystic SCTs that were subclassified into the honeycomb (n = 21) and solid types (n = 1), while 30 cases were macrocystic type and were subclassified into multilocular (n = 16) and unilocular types (n = 14). There were no differences between four subtypes with regard to gender, tumor location, and size. The preoperative diagnostic accuracy of the unilocular macrocystic SCT was only 35.7%, while that of honeycomb microcystic SCT and multilocular macrocystic SCT were 81% and 87.5%, respectively (P = 0.005). CONCLUSION: Microcystic SCTs and multilocular macrocystic SCTs can be accurately diagnosed preoperatively; therefore conservative treatment and observation are possible in some cases. However, the unilocular macrocystic SCT is difficult to differentiate from the other pancreatic cystic tumors with malignant potential, therefore resection must be considered. More... »

PAGES

2089-2095

References to SciGraph publications

  • 1993-12. A case of serous cystadenoma of the pancreas with focal malignant changes in JOURNAL OF GASTROINTESTINAL CANCER
  • 1995-02. A case of macrocystic serous cystadenoma of the pancreas in JOURNAL OF GASTROINTESTINAL CANCER
  • 2007-07. Resected Serous Cystic Neoplasms of the Pancreas: A Review of 158 Patients with Recommendations for Treatment in JOURNAL OF GASTROINTESTINAL SURGERY
  • 1999-01. Macrocystic serous cystadenoma of the pancreas:CT and endosonographic features in ABDOMINAL RADIOLOGY
  • 2000-03. Macrocystic serous cystadenoma of the pancreas in JOURNAL OF HEPATO-BILIARY-PANCREATIC SCIENCES
  • 1998-12. Serous cystadenocarcinoma of the pancreas with liver metastases in JOURNAL OF HEPATO-BILIARY-PANCREATIC SCIENCES
  • 2007-12. Solid serous microcystic adenoma of the pancreas in WORLD JOURNAL OF SURGICAL ONCOLOGY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1245/s10434-008-9959-1

    DOI

    http://dx.doi.org/10.1245/s10434-008-9959-1

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1008979260

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/18478300


    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": "Cystadenoma, Serous", 
            "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": "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": "Pancreatic Neoplasms", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Preoperative Care", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Tomography, X-Ray Computed", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Seoul National University", 
              "id": "https://www.grid.ac/institutes/grid.31501.36", 
              "name": [
                "Department of Surgery, Seoul National University College of Medicine, 28 Yeongeon-dong, Jongno-gu, 110-744, Seoul, Korea"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Lee", 
            "givenName": "Seung Eun", 
            "id": "sg:person.0637612214.36", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0637612214.36"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Seoul National University", 
              "id": "https://www.grid.ac/institutes/grid.31501.36", 
              "name": [
                "Department of Surgery, Seoul National University College of Medicine, 28 Yeongeon-dong, Jongno-gu, 110-744, Seoul, Korea"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kwon", 
            "givenName": "Yujin", 
            "id": "sg:person.0731374262.20", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0731374262.20"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Seoul National University", 
              "id": "https://www.grid.ac/institutes/grid.31501.36", 
              "name": [
                "Department of Surgery, Seoul National University College of Medicine, 28 Yeongeon-dong, Jongno-gu, 110-744, Seoul, Korea"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Jang", 
            "givenName": "Jin-Young", 
            "id": "sg:person.0617241524.44", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0617241524.44"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Seoul National University", 
              "id": "https://www.grid.ac/institutes/grid.31501.36", 
              "name": [
                "Department of Surgery, Seoul National University College of Medicine, 28 Yeongeon-dong, Jongno-gu, 110-744, Seoul, Korea"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kim", 
            "givenName": "Young-Hun", 
            "id": "sg:person.0711662343.87", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0711662343.87"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Seoul National University", 
              "id": "https://www.grid.ac/institutes/grid.31501.36", 
              "name": [
                "Department of Surgery, Seoul National University College of Medicine, 28 Yeongeon-dong, Jongno-gu, 110-744, Seoul, Korea"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Hwang", 
            "givenName": "Dae Wook", 
            "id": "sg:person.01353303171.82", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01353303171.82"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Seoul National University", 
              "id": "https://www.grid.ac/institutes/grid.31501.36", 
              "name": [
                "Department of Pathology, Seoul National University College of Medicine, Seoul, Korea"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kim", 
            "givenName": "Min A.", 
            "id": "sg:person.0665463216.06", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0665463216.06"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Seoul National University", 
              "id": "https://www.grid.ac/institutes/grid.31501.36", 
              "name": [
                "Department of Radiology, Seoul National University College of Medicine, Seoul, Korea"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kim", 
            "givenName": "Se Hyung", 
            "id": "sg:person.016434366660.80", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016434366660.80"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Seoul National University", 
              "id": "https://www.grid.ac/institutes/grid.31501.36", 
              "name": [
                "Department of Surgery, Seoul National University College of Medicine, 28 Yeongeon-dong, Jongno-gu, 110-744, Seoul, Korea"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kim", 
            "givenName": "Sun-Whe", 
            "id": "sg:person.01304071463.62", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01304071463.62"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1002/jmri.21001", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000839302"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s002619900444", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009146750", 
              "https://doi.org/10.1007/s002619900444"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/00006676-199801000-00016", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010669313"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/00006676-199801000-00016", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010669313"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/00006676-199801000-00016", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010669313"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1053/j.gastro.2004.02.013", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011529992"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/01.mcg.0000152749.64526.38", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013760122"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/01.mcg.0000152749.64526.38", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013760122"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/01.mcg.0000152749.64526.38", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013760122"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/ajcp/69.1.289", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016054465"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/01.mpa.0000226890.63451.c4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018314641"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/01.mpa.0000226890.63451.c4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018314641"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1046/j.1440-1746.2003.03040.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025932476"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/003130201201117963", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030907651"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/003130201201117963", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030907651"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/003130202760120508", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033172270"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/003130202760120508", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033172270"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/dc.20558", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035041307"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/00000478-198901000-00009", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038161249"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/00000478-198901000-00009", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038161249"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3346/jkms.1994.9.1.78", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038903337"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1477-7819-5-26", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041170847", 
              "https://doi.org/10.1186/1477-7819-5-26"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s005340050160", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044690718", 
              "https://doi.org/10.1007/s005340050160"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/00000478-200403000-00006", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044895587"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/00000478-200403000-00006", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044895587"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0046-8177(92)90397-l", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045097415"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11605-007-0157-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047808586", 
              "https://doi.org/10.1007/s11605-007-0157-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11605-007-0157-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047808586", 
              "https://doi.org/10.1007/s11605-007-0157-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s005340050075", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050991658", 
              "https://doi.org/10.1007/s005340050075"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/00000478-199611000-00012", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1060122186"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2214/ajr.05.0337", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1069297515"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1078847497", 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02784938", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1082656832", 
              "https://doi.org/10.1007/bf02784938"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02788363", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1082862603", 
              "https://doi.org/10.1007/bf02788363"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2008-08", 
        "datePublishedReg": "2008-08-01", 
        "description": "BACKGROUND: Although the honeycomb microcystic type is common and typical for a serous cystic tumor (SCT), clinical and radiological features are diverse. Systematic classification of SCT subtypes is not well established. The purpose of this study was to classify the subtypes of SCT and to clarify its clinical and pathological characteristics.\nMETHODS: Clinical data from 52 patients with a pathologically confirmed SCT were prospectively collected using a standard data form. According to cyst size and multiplicity, on gross and radiological evaluation, the cysts were classified as microcystic when they were smaller than 2 cm, and macrocystic when larger than 2 cm. The microcystic tumors were subdivided into honeycomb and solid types, while the macrocystic tumors into unilocular and multilocular types based on the number of cysts.\nRESULTS: There were 22 cases with microcystic SCTs that were subclassified into the honeycomb (n = 21) and solid types (n = 1), while 30 cases were macrocystic type and were subclassified into multilocular (n = 16) and unilocular types (n = 14). There were no differences between four subtypes with regard to gender, tumor location, and size. The preoperative diagnostic accuracy of the unilocular macrocystic SCT was only 35.7%, while that of honeycomb microcystic SCT and multilocular macrocystic SCT were 81% and 87.5%, respectively (P = 0.005).\nCONCLUSION: Microcystic SCTs and multilocular macrocystic SCTs can be accurately diagnosed preoperatively; therefore conservative treatment and observation are possible in some cases. However, the unilocular macrocystic SCT is difficult to differentiate from the other pancreatic cystic tumors with malignant potential, therefore resection must be considered.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1245/s10434-008-9959-1", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1105545", 
            "issn": [
              "1068-9265", 
              "1534-4681"
            ], 
            "name": "Annals of Surgical Oncology", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "8", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "15"
          }
        ], 
        "name": "The Morphological Classification of a Serous Cystic Tumor (SCT) of the Pancreas and Evaluation of the Preoperative Diagnostic Accuracy of Computed Tomography", 
        "pagination": "2089-2095", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "2ac6f5cfe13a23116e07975efae294f8854427063c8a315172aed05af8358fab"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "18478300"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "9420840"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1245/s10434-008-9959-1"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1008979260"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1245/s10434-008-9959-1", 
          "https://app.dimensions.ai/details/publication/pub.1008979260"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-10T15:48", 
        "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_8664_00000498.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://link.springer.com/10.1245/s10434-008-9959-1"
      }
    ]
     

    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.10.1245/s10434-008-9959-1'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1245/s10434-008-9959-1'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1245/s10434-008-9959-1'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1245/s10434-008-9959-1'


     

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

    242 TRIPLES      21 PREDICATES      64 URIs      32 LITERALS      20 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1245/s10434-008-9959-1 schema:about N186f82f2581943adbab2cd6d12351600
    2 N4f802ed0ab9d4d63a9bba42ab2b7b1d1
    3 N717e28f92e2d4d3c8a0061c549a16adf
    4 N8db3500ac03041d7a01eea7c2d59b15b
    5 N9b77904fcc5f4676bbe16cb3309c820e
    6 N9ce344e0e6d0406fad1961b994bb1daf
    7 N9ee664aca87c43ecb5a812df8ac27583
    8 Na893c69140b743ea98e5dabec47ca882
    9 Nbdf8111bc77348d683004446708783c7
    10 Nd0143c568374440db47561e1037fdd05
    11 Nefc3a49f77ea4a588203c00a5761e1f3
    12 anzsrc-for:11
    13 anzsrc-for:1103
    14 schema:author N6e575303711a4041a6195b15fd144eb5
    15 schema:citation sg:pub.10.1007/bf02784938
    16 sg:pub.10.1007/bf02788363
    17 sg:pub.10.1007/s002619900444
    18 sg:pub.10.1007/s005340050075
    19 sg:pub.10.1007/s005340050160
    20 sg:pub.10.1007/s11605-007-0157-4
    21 sg:pub.10.1186/1477-7819-5-26
    22 https://app.dimensions.ai/details/publication/pub.1078847497
    23 https://doi.org/10.1002/dc.20558
    24 https://doi.org/10.1002/jmri.21001
    25 https://doi.org/10.1016/0046-8177(92)90397-l
    26 https://doi.org/10.1046/j.1440-1746.2003.03040.x
    27 https://doi.org/10.1053/j.gastro.2004.02.013
    28 https://doi.org/10.1080/003130201201117963
    29 https://doi.org/10.1080/003130202760120508
    30 https://doi.org/10.1093/ajcp/69.1.289
    31 https://doi.org/10.1097/00000478-198901000-00009
    32 https://doi.org/10.1097/00000478-199611000-00012
    33 https://doi.org/10.1097/00000478-200403000-00006
    34 https://doi.org/10.1097/00006676-199801000-00016
    35 https://doi.org/10.1097/01.mcg.0000152749.64526.38
    36 https://doi.org/10.1097/01.mpa.0000226890.63451.c4
    37 https://doi.org/10.2214/ajr.05.0337
    38 https://doi.org/10.3346/jkms.1994.9.1.78
    39 schema:datePublished 2008-08
    40 schema:datePublishedReg 2008-08-01
    41 schema:description BACKGROUND: Although the honeycomb microcystic type is common and typical for a serous cystic tumor (SCT), clinical and radiological features are diverse. Systematic classification of SCT subtypes is not well established. The purpose of this study was to classify the subtypes of SCT and to clarify its clinical and pathological characteristics. METHODS: Clinical data from 52 patients with a pathologically confirmed SCT were prospectively collected using a standard data form. According to cyst size and multiplicity, on gross and radiological evaluation, the cysts were classified as microcystic when they were smaller than 2 cm, and macrocystic when larger than 2 cm. The microcystic tumors were subdivided into honeycomb and solid types, while the macrocystic tumors into unilocular and multilocular types based on the number of cysts. RESULTS: There were 22 cases with microcystic SCTs that were subclassified into the honeycomb (n = 21) and solid types (n = 1), while 30 cases were macrocystic type and were subclassified into multilocular (n = 16) and unilocular types (n = 14). There were no differences between four subtypes with regard to gender, tumor location, and size. The preoperative diagnostic accuracy of the unilocular macrocystic SCT was only 35.7%, while that of honeycomb microcystic SCT and multilocular macrocystic SCT were 81% and 87.5%, respectively (P = 0.005). CONCLUSION: Microcystic SCTs and multilocular macrocystic SCTs can be accurately diagnosed preoperatively; therefore conservative treatment and observation are possible in some cases. However, the unilocular macrocystic SCT is difficult to differentiate from the other pancreatic cystic tumors with malignant potential, therefore resection must be considered.
    42 schema:genre research_article
    43 schema:inLanguage en
    44 schema:isAccessibleForFree false
    45 schema:isPartOf N484d27ac3db340acbc1829a468847bae
    46 N71b661d352564918bd1d9425ee5f0ef9
    47 sg:journal.1105545
    48 schema:name The Morphological Classification of a Serous Cystic Tumor (SCT) of the Pancreas and Evaluation of the Preoperative Diagnostic Accuracy of Computed Tomography
    49 schema:pagination 2089-2095
    50 schema:productId N260c6cbd98754af09a1d066351150216
    51 N4d8e1d3047ba463f85c12757594f5f11
    52 N8ce63438523648ddb129e5888ea19271
    53 Na2aa9f64623943c38d23a4369cf83cde
    54 Na71c6b50cb074de087797d2f7297b9cf
    55 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008979260
    56 https://doi.org/10.1245/s10434-008-9959-1
    57 schema:sdDatePublished 2019-04-10T15:48
    58 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    59 schema:sdPublisher N25d22919cc9649a189f32ccfc8700610
    60 schema:url http://link.springer.com/10.1245/s10434-008-9959-1
    61 sgo:license sg:explorer/license/
    62 sgo:sdDataset articles
    63 rdf:type schema:ScholarlyArticle
    64 N0edfb45a8a794f27b9542053b722a191 rdf:first sg:person.0617241524.44
    65 rdf:rest Nd8fccd43d62c4062a6c7653344bd2026
    66 N107a04cad86b42a9aa5b6860213dab65 rdf:first sg:person.01353303171.82
    67 rdf:rest Nfd7480411ff547a997e016a74351d243
    68 N186f82f2581943adbab2cd6d12351600 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    69 schema:name Middle Aged
    70 rdf:type schema:DefinedTerm
    71 N1b1edf29459647c8bdb3127b66171bcf rdf:first sg:person.01304071463.62
    72 rdf:rest rdf:nil
    73 N25d22919cc9649a189f32ccfc8700610 schema:name Springer Nature - SN SciGraph project
    74 rdf:type schema:Organization
    75 N260c6cbd98754af09a1d066351150216 schema:name doi
    76 schema:value 10.1245/s10434-008-9959-1
    77 rdf:type schema:PropertyValue
    78 N484d27ac3db340acbc1829a468847bae schema:issueNumber 8
    79 rdf:type schema:PublicationIssue
    80 N4975205114234b0380759d422b90bd5a rdf:first sg:person.016434366660.80
    81 rdf:rest N1b1edf29459647c8bdb3127b66171bcf
    82 N4d8e1d3047ba463f85c12757594f5f11 schema:name pubmed_id
    83 schema:value 18478300
    84 rdf:type schema:PropertyValue
    85 N4f802ed0ab9d4d63a9bba42ab2b7b1d1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    86 schema:name Pancreatic Neoplasms
    87 rdf:type schema:DefinedTerm
    88 N6e575303711a4041a6195b15fd144eb5 rdf:first sg:person.0637612214.36
    89 rdf:rest Na05b6e0bdf1042c3ad5f5596ed43f974
    90 N717e28f92e2d4d3c8a0061c549a16adf schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    91 schema:name Preoperative Care
    92 rdf:type schema:DefinedTerm
    93 N71b661d352564918bd1d9425ee5f0ef9 schema:volumeNumber 15
    94 rdf:type schema:PublicationVolume
    95 N8ce63438523648ddb129e5888ea19271 schema:name readcube_id
    96 schema:value 2ac6f5cfe13a23116e07975efae294f8854427063c8a315172aed05af8358fab
    97 rdf:type schema:PropertyValue
    98 N8db3500ac03041d7a01eea7c2d59b15b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    99 schema:name Diagnosis, Differential
    100 rdf:type schema:DefinedTerm
    101 N9b77904fcc5f4676bbe16cb3309c820e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    102 schema:name Female
    103 rdf:type schema:DefinedTerm
    104 N9ce344e0e6d0406fad1961b994bb1daf schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    105 schema:name Humans
    106 rdf:type schema:DefinedTerm
    107 N9ee664aca87c43ecb5a812df8ac27583 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    108 schema:name Cystadenoma, Serous
    109 rdf:type schema:DefinedTerm
    110 Na05b6e0bdf1042c3ad5f5596ed43f974 rdf:first sg:person.0731374262.20
    111 rdf:rest N0edfb45a8a794f27b9542053b722a191
    112 Na2aa9f64623943c38d23a4369cf83cde schema:name dimensions_id
    113 schema:value pub.1008979260
    114 rdf:type schema:PropertyValue
    115 Na71c6b50cb074de087797d2f7297b9cf schema:name nlm_unique_id
    116 schema:value 9420840
    117 rdf:type schema:PropertyValue
    118 Na893c69140b743ea98e5dabec47ca882 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    119 schema:name Tomography, X-Ray Computed
    120 rdf:type schema:DefinedTerm
    121 Nbdf8111bc77348d683004446708783c7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    122 schema:name Aged
    123 rdf:type schema:DefinedTerm
    124 Nd0143c568374440db47561e1037fdd05 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    125 schema:name Adult
    126 rdf:type schema:DefinedTerm
    127 Nd8fccd43d62c4062a6c7653344bd2026 rdf:first sg:person.0711662343.87
    128 rdf:rest N107a04cad86b42a9aa5b6860213dab65
    129 Nefc3a49f77ea4a588203c00a5761e1f3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    130 schema:name Male
    131 rdf:type schema:DefinedTerm
    132 Nfd7480411ff547a997e016a74351d243 rdf:first sg:person.0665463216.06
    133 rdf:rest N4975205114234b0380759d422b90bd5a
    134 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
    135 schema:name Medical and Health Sciences
    136 rdf:type schema:DefinedTerm
    137 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
    138 schema:name Clinical Sciences
    139 rdf:type schema:DefinedTerm
    140 sg:journal.1105545 schema:issn 1068-9265
    141 1534-4681
    142 schema:name Annals of Surgical Oncology
    143 rdf:type schema:Periodical
    144 sg:person.01304071463.62 schema:affiliation https://www.grid.ac/institutes/grid.31501.36
    145 schema:familyName Kim
    146 schema:givenName Sun-Whe
    147 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01304071463.62
    148 rdf:type schema:Person
    149 sg:person.01353303171.82 schema:affiliation https://www.grid.ac/institutes/grid.31501.36
    150 schema:familyName Hwang
    151 schema:givenName Dae Wook
    152 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01353303171.82
    153 rdf:type schema:Person
    154 sg:person.016434366660.80 schema:affiliation https://www.grid.ac/institutes/grid.31501.36
    155 schema:familyName Kim
    156 schema:givenName Se Hyung
    157 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016434366660.80
    158 rdf:type schema:Person
    159 sg:person.0617241524.44 schema:affiliation https://www.grid.ac/institutes/grid.31501.36
    160 schema:familyName Jang
    161 schema:givenName Jin-Young
    162 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0617241524.44
    163 rdf:type schema:Person
    164 sg:person.0637612214.36 schema:affiliation https://www.grid.ac/institutes/grid.31501.36
    165 schema:familyName Lee
    166 schema:givenName Seung Eun
    167 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0637612214.36
    168 rdf:type schema:Person
    169 sg:person.0665463216.06 schema:affiliation https://www.grid.ac/institutes/grid.31501.36
    170 schema:familyName Kim
    171 schema:givenName Min A.
    172 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0665463216.06
    173 rdf:type schema:Person
    174 sg:person.0711662343.87 schema:affiliation https://www.grid.ac/institutes/grid.31501.36
    175 schema:familyName Kim
    176 schema:givenName Young-Hun
    177 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0711662343.87
    178 rdf:type schema:Person
    179 sg:person.0731374262.20 schema:affiliation https://www.grid.ac/institutes/grid.31501.36
    180 schema:familyName Kwon
    181 schema:givenName Yujin
    182 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0731374262.20
    183 rdf:type schema:Person
    184 sg:pub.10.1007/bf02784938 schema:sameAs https://app.dimensions.ai/details/publication/pub.1082656832
    185 https://doi.org/10.1007/bf02784938
    186 rdf:type schema:CreativeWork
    187 sg:pub.10.1007/bf02788363 schema:sameAs https://app.dimensions.ai/details/publication/pub.1082862603
    188 https://doi.org/10.1007/bf02788363
    189 rdf:type schema:CreativeWork
    190 sg:pub.10.1007/s002619900444 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009146750
    191 https://doi.org/10.1007/s002619900444
    192 rdf:type schema:CreativeWork
    193 sg:pub.10.1007/s005340050075 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050991658
    194 https://doi.org/10.1007/s005340050075
    195 rdf:type schema:CreativeWork
    196 sg:pub.10.1007/s005340050160 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044690718
    197 https://doi.org/10.1007/s005340050160
    198 rdf:type schema:CreativeWork
    199 sg:pub.10.1007/s11605-007-0157-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047808586
    200 https://doi.org/10.1007/s11605-007-0157-4
    201 rdf:type schema:CreativeWork
    202 sg:pub.10.1186/1477-7819-5-26 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041170847
    203 https://doi.org/10.1186/1477-7819-5-26
    204 rdf:type schema:CreativeWork
    205 https://app.dimensions.ai/details/publication/pub.1078847497 schema:CreativeWork
    206 https://doi.org/10.1002/dc.20558 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035041307
    207 rdf:type schema:CreativeWork
    208 https://doi.org/10.1002/jmri.21001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000839302
    209 rdf:type schema:CreativeWork
    210 https://doi.org/10.1016/0046-8177(92)90397-l schema:sameAs https://app.dimensions.ai/details/publication/pub.1045097415
    211 rdf:type schema:CreativeWork
    212 https://doi.org/10.1046/j.1440-1746.2003.03040.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1025932476
    213 rdf:type schema:CreativeWork
    214 https://doi.org/10.1053/j.gastro.2004.02.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011529992
    215 rdf:type schema:CreativeWork
    216 https://doi.org/10.1080/003130201201117963 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030907651
    217 rdf:type schema:CreativeWork
    218 https://doi.org/10.1080/003130202760120508 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033172270
    219 rdf:type schema:CreativeWork
    220 https://doi.org/10.1093/ajcp/69.1.289 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016054465
    221 rdf:type schema:CreativeWork
    222 https://doi.org/10.1097/00000478-198901000-00009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038161249
    223 rdf:type schema:CreativeWork
    224 https://doi.org/10.1097/00000478-199611000-00012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060122186
    225 rdf:type schema:CreativeWork
    226 https://doi.org/10.1097/00000478-200403000-00006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044895587
    227 rdf:type schema:CreativeWork
    228 https://doi.org/10.1097/00006676-199801000-00016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010669313
    229 rdf:type schema:CreativeWork
    230 https://doi.org/10.1097/01.mcg.0000152749.64526.38 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013760122
    231 rdf:type schema:CreativeWork
    232 https://doi.org/10.1097/01.mpa.0000226890.63451.c4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018314641
    233 rdf:type schema:CreativeWork
    234 https://doi.org/10.2214/ajr.05.0337 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069297515
    235 rdf:type schema:CreativeWork
    236 https://doi.org/10.3346/jkms.1994.9.1.78 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038903337
    237 rdf:type schema:CreativeWork
    238 https://www.grid.ac/institutes/grid.31501.36 schema:alternateName Seoul National University
    239 schema:name Department of Pathology, Seoul National University College of Medicine, Seoul, Korea
    240 Department of Radiology, Seoul National University College of Medicine, Seoul, Korea
    241 Department of Surgery, Seoul National University College of Medicine, 28 Yeongeon-dong, Jongno-gu, 110-744, Seoul, Korea
    242 rdf:type schema:Organization
     




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


    ...