The vessels within epithelial circle (VEC) pattern as visualized by magnifying endoscopy with narrow-band imaging (ME-NBI) is a useful marker ... View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2013-09-15

AUTHORS

Takao Kanemitsu, Kenshi Yao, Takashi Nagahama, Shoko Fujiwara, Yasuhiro Takaki, Yoichiro Ono, Yu Matsushima, Toshiyuki Matsui, Hiroshi Tanabe, Atsuko Ota, Akinori Iwashita

ABSTRACT

Background and aimsPathological studies indicate papillary adenocarcinomas are more aggressive than tubular adenocarcinomas, but a definitive diagnosis is difficult using conventional endoscopy alone. The vessels within an epithelial circle (VEC) pattern, visualized using magnifying endoscopy with narrow-band imaging (ME-NBI), may be a feature of papillary adenocarcinoma. The aims of our study were to investigate whether the VEC pattern is useful in the preoperative diagnosis of papillary adenocarcinoma and to determine whether VEC-positive adenocarcinomas are more malignant than VEC-negative lesions.Patients and materialsFrom 395 consecutive early gastric cancers resected using the endoscopic submucosal dissection method, we analyzed 35 VEC-positive lesions and 70 VEC-negative control lesions matched for size and macroscopic type. We evaluated (1) the correlation between the incidence of VEC-positive cancers and the histological papillary structure and (2) differences in the incidence of coexisting undifferentiated carcinoma in VEC-positive and VEC-negative cancers and the incidence of submucosal and vascular invasion.ResultsHistological papillary structure was seen in 94 % (33/35) of VEC-positive and 9 % (6/70) of VEC-negative cancers, a significant difference (P < 0.001). The incidence of coexisting undifferentiated carcinoma was 23 % (8/35) in VEC-positive and 3 % (2/70) in VEC-negative cancers (P = 0.002). The incidence of submucosal invasion by the carcinoma was 26 % (9/35) in VEC-positive cancers and 10 % (7/70) in VEC-negative cancers (P = 0.045).ConclusionsThe VEC pattern as visualized using ME-NBI is a promising preoperative diagnostic marker of papillary adenocarcinoma. Coexisting undifferentiated carcinoma and submucosal invasion were each seen in approximately one fourth of VEC-positive cancers. More... »

PAGES

469-477

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10120-013-0295-1

DOI

http://dx.doi.org/10.1007/s10120-013-0295-1

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1022313399

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/24037102


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1112", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Oncology and Carcinogenesis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adenocarcinoma, Papillary", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged, 80 and over", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Carcinoma", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Case-Control Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Gastric Mucosa", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Gastroscopy", 
        "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": "Narrow Band Imaging", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Neoplasm Invasiveness", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Preoperative Care", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Retrospective Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Stomach Neoplasms", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Department of Gastroenterology, Fukuoka University Chikushi Hospital, Chikushino, Japan", 
          "id": "http://www.grid.ac/institutes/grid.411556.2", 
          "name": [
            "Department of Gastroenterology, Fukuoka University Chikushi Hospital, Chikushino, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kanemitsu", 
        "givenName": "Takao", 
        "id": "sg:person.01116150437.44", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01116150437.44"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Endoscopy, Fukuoka University Chikushi Hospital, 1-1-1 Zokumyoin, 818-8502, Chikushino, Fukuoka, Japan", 
          "id": "http://www.grid.ac/institutes/grid.413918.6", 
          "name": [
            "Department of Endoscopy, Fukuoka University Chikushi Hospital, 1-1-1 Zokumyoin, 818-8502, Chikushino, Fukuoka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yao", 
        "givenName": "Kenshi", 
        "id": "sg:person.01253425777.21", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01253425777.21"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Gastroenterology, Fukuoka University Chikushi Hospital, Chikushino, Japan", 
          "id": "http://www.grid.ac/institutes/grid.411556.2", 
          "name": [
            "Department of Gastroenterology, Fukuoka University Chikushi Hospital, Chikushino, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nagahama", 
        "givenName": "Takashi", 
        "id": "sg:person.01274651137.56", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01274651137.56"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Endoscopy, Fukuoka University Chikushi Hospital, 1-1-1 Zokumyoin, 818-8502, Chikushino, Fukuoka, Japan", 
          "id": "http://www.grid.ac/institutes/grid.413918.6", 
          "name": [
            "Department of Endoscopy, Fukuoka University Chikushi Hospital, 1-1-1 Zokumyoin, 818-8502, Chikushino, Fukuoka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fujiwara", 
        "givenName": "Shoko", 
        "id": "sg:person.01364013277.27", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01364013277.27"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Gastroenterology, Fukuoka University Chikushi Hospital, Chikushino, Japan", 
          "id": "http://www.grid.ac/institutes/grid.411556.2", 
          "name": [
            "Department of Gastroenterology, Fukuoka University Chikushi Hospital, Chikushino, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Takaki", 
        "givenName": "Yasuhiro", 
        "id": "sg:person.01226535737.79", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01226535737.79"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Gastroenterology, Fukuoka University Chikushi Hospital, Chikushino, Japan", 
          "id": "http://www.grid.ac/institutes/grid.411556.2", 
          "name": [
            "Department of Gastroenterology, Fukuoka University Chikushi Hospital, Chikushino, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ono", 
        "givenName": "Yoichiro", 
        "id": "sg:person.01022750777.16", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01022750777.16"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Gastroenterology, Fukuoka University Chikushi Hospital, Chikushino, Japan", 
          "id": "http://www.grid.ac/institutes/grid.411556.2", 
          "name": [
            "Department of Gastroenterology, Fukuoka University Chikushi Hospital, Chikushino, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Matsushima", 
        "givenName": "Yu", 
        "id": "sg:person.0706522377.19", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0706522377.19"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Gastroenterology, Fukuoka University Chikushi Hospital, Chikushino, Japan", 
          "id": "http://www.grid.ac/institutes/grid.411556.2", 
          "name": [
            "Department of Gastroenterology, Fukuoka University Chikushi Hospital, Chikushino, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Matsui", 
        "givenName": "Toshiyuki", 
        "id": "sg:person.014575262532.25", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014575262532.25"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Pathology, Fukuoka University Chikushi Hospital, Chikushino, Japan", 
          "id": "http://www.grid.ac/institutes/grid.413918.6", 
          "name": [
            "Department of Pathology, Fukuoka University Chikushi Hospital, Chikushino, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tanabe", 
        "givenName": "Hiroshi", 
        "id": "sg:person.01114054065.00", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01114054065.00"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Pathology, Fukuoka University Chikushi Hospital, Chikushino, Japan", 
          "id": "http://www.grid.ac/institutes/grid.413918.6", 
          "name": [
            "Department of Pathology, Fukuoka University Chikushi Hospital, Chikushino, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ota", 
        "givenName": "Atsuko", 
        "id": "sg:person.0754061712.40", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0754061712.40"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Pathology, Fukuoka University Chikushi Hospital, Chikushino, Japan", 
          "id": "http://www.grid.ac/institutes/grid.413918.6", 
          "name": [
            "Department of Pathology, Fukuoka University Chikushi Hospital, Chikushino, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Iwashita", 
        "givenName": "Akinori", 
        "id": "sg:person.0623221337.30", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0623221337.30"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s005350170028", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025115900", 
          "https://doi.org/10.1007/s005350170028"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00311499", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008514003", 
          "https://doi.org/10.1007/bf00311499"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/pl00011687", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007999259", 
          "https://doi.org/10.1007/pl00011687"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10120-012-0160-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013238759", 
          "https://doi.org/10.1007/s10120-012-0160-7"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2013-09-15", 
    "datePublishedReg": "2013-09-15", 
    "description": "Background and aimsPathological studies indicate papillary adenocarcinomas are more aggressive than tubular adenocarcinomas, but a definitive diagnosis is difficult using conventional endoscopy alone. The vessels within an epithelial circle (VEC) pattern, visualized using magnifying endoscopy with narrow-band imaging (ME-NBI), may be a feature of papillary adenocarcinoma. The aims of our study were to investigate whether the VEC pattern is useful in the preoperative diagnosis of papillary adenocarcinoma and to determine whether VEC-positive adenocarcinomas are more malignant than VEC-negative lesions.Patients and materialsFrom 395 consecutive early gastric cancers resected using the endoscopic submucosal dissection method, we analyzed 35 VEC-positive lesions and 70 VEC-negative control lesions matched for size and macroscopic type. We evaluated (1) the correlation between the incidence of VEC-positive cancers and the histological papillary structure and (2) differences in the incidence of coexisting undifferentiated carcinoma in VEC-positive and VEC-negative cancers and the incidence of submucosal and vascular invasion.ResultsHistological papillary structure was seen in 94\u00a0% (33/35) of VEC-positive and 9\u00a0% (6/70) of VEC-negative cancers, a significant difference (P\u00a0<\u00a00.001). The incidence of coexisting undifferentiated carcinoma was 23\u00a0% (8/35) in VEC-positive and 3\u00a0% (2/70) in VEC-negative cancers (P\u00a0=\u00a00.002). The incidence of submucosal invasion by the carcinoma was 26\u00a0% (9/35) in VEC-positive cancers and 10\u00a0% (7/70) in VEC-negative cancers (P\u00a0=\u00a00.045).ConclusionsThe VEC pattern as visualized using ME-NBI is a promising preoperative diagnostic marker of papillary adenocarcinoma. Coexisting undifferentiated carcinoma and submucosal invasion were each seen in approximately one fourth of VEC-positive cancers.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s10120-013-0295-1", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.6022175", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1020959", 
        "issn": [
          "1436-3291", 
          "1436-3305"
        ], 
        "name": "Gastric Cancer", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "3", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "17"
      }
    ], 
    "keywords": [
      "papillary adenocarcinoma", 
      "undifferentiated carcinoma", 
      "narrow-band imaging", 
      "submucosal invasion", 
      "papillary structures", 
      "early gastric cancer", 
      "case-control study", 
      "endoscopic submucosal dissection method", 
      "tubular adenocarcinoma", 
      "preoperative diagnosis", 
      "vascular invasion", 
      "definitive diagnosis", 
      "macroscopic type", 
      "gastric cancer", 
      "control lesions", 
      "adenocarcinoma", 
      "conventional endoscopy", 
      "magnifying endoscopy", 
      "carcinoma", 
      "useful marker", 
      "cancer", 
      "ME-NBI", 
      "diagnostic marker", 
      "incidence", 
      "endoscopy", 
      "lesions", 
      "diagnosis", 
      "significant differences", 
      "dissection method", 
      "invasion", 
      "markers", 
      "vessels", 
      "VEC", 
      "imaging", 
      "submucosal", 
      "patients", 
      "study", 
      "differences", 
      "patterns", 
      "aim", 
      "background", 
      "correlation", 
      "types", 
      "circle patterns", 
      "features", 
      "size", 
      "method", 
      "structure", 
      "aimsPathological studies", 
      "epithelial circle (VEC) pattern", 
      "VEC pattern", 
      "VEC-positive adenocarcinomas", 
      "VEC-negative lesions", 
      "materialsFrom 395 consecutive early gastric cancers", 
      "consecutive early gastric cancers", 
      "submucosal dissection method", 
      "VEC-positive lesions", 
      "VEC-negative control lesions", 
      "VEC-positive cancers", 
      "histological papillary structure", 
      "VEC-negative cancers", 
      "incidence of submucosal", 
      "ResultsHistological papillary structure", 
      "ConclusionsThe VEC pattern", 
      "promising preoperative diagnostic marker", 
      "preoperative diagnostic marker"
    ], 
    "name": "The vessels within epithelial circle (VEC) pattern as visualized by magnifying endoscopy with narrow-band imaging (ME-NBI) is a useful marker for the diagnosis of papillary adenocarcinoma: a case-controlled study", 
    "pagination": "469-477", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1022313399"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10120-013-0295-1"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "24037102"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10120-013-0295-1", 
      "https://app.dimensions.ai/details/publication/pub.1022313399"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2021-12-01T19:28", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20211201/entities/gbq_results/article/article_604.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s10120-013-0295-1"
  }
]
 

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.10.1007/s10120-013-0295-1'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s10120-013-0295-1'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10120-013-0295-1'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10120-013-0295-1'


 

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

285 TRIPLES      22 PREDICATES      112 URIs      100 LITERALS      23 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10120-013-0295-1 schema:about N0b904c47a9644d44a948fd3d8ee7b5e3
2 N10b74007bacc4b4cbc28b853b97fa48d
3 N1c3d302166bd456385de7441ea58643d
4 N35ef84b91a28411fb673915920e50ae6
5 N3d42f0e12bd14c9fa4f16b49c8ee1fff
6 N5969a476f28946f6b6f8c57ff8235b0f
7 N68dad6d394634f7b911fa8dac3cdd7b5
8 N8b78c64b912746199e1e830c94bdcb83
9 N99f24601313942a791115d6e9beb1f22
10 N9ae60f8e98254af3ab2e95ca2ba8ce47
11 Nc539bb6c0f9547c892d002a0d930cffa
12 Nc8ca97a748d04d5ab288af5a0228e9d2
13 Ne3228f483e594463a9542e9941eca8c6
14 Ne6d08208f6934643badd0dae5e82f35c
15 Nf4587fcfee8941beaa27eb82db56a243
16 Nfc9447e53d2e4a75b57e0d09507435cf
17 anzsrc-for:11
18 anzsrc-for:1112
19 schema:author N9fc3c010170a4ced93b6ed4a56d90a14
20 schema:citation sg:pub.10.1007/bf00311499
21 sg:pub.10.1007/pl00011687
22 sg:pub.10.1007/s005350170028
23 sg:pub.10.1007/s10120-012-0160-7
24 schema:datePublished 2013-09-15
25 schema:datePublishedReg 2013-09-15
26 schema:description Background and aimsPathological studies indicate papillary adenocarcinomas are more aggressive than tubular adenocarcinomas, but a definitive diagnosis is difficult using conventional endoscopy alone. The vessels within an epithelial circle (VEC) pattern, visualized using magnifying endoscopy with narrow-band imaging (ME-NBI), may be a feature of papillary adenocarcinoma. The aims of our study were to investigate whether the VEC pattern is useful in the preoperative diagnosis of papillary adenocarcinoma and to determine whether VEC-positive adenocarcinomas are more malignant than VEC-negative lesions.Patients and materialsFrom 395 consecutive early gastric cancers resected using the endoscopic submucosal dissection method, we analyzed 35 VEC-positive lesions and 70 VEC-negative control lesions matched for size and macroscopic type. We evaluated (1) the correlation between the incidence of VEC-positive cancers and the histological papillary structure and (2) differences in the incidence of coexisting undifferentiated carcinoma in VEC-positive and VEC-negative cancers and the incidence of submucosal and vascular invasion.ResultsHistological papillary structure was seen in 94 % (33/35) of VEC-positive and 9 % (6/70) of VEC-negative cancers, a significant difference (P < 0.001). The incidence of coexisting undifferentiated carcinoma was 23 % (8/35) in VEC-positive and 3 % (2/70) in VEC-negative cancers (P = 0.002). The incidence of submucosal invasion by the carcinoma was 26 % (9/35) in VEC-positive cancers and 10 % (7/70) in VEC-negative cancers (P = 0.045).ConclusionsThe VEC pattern as visualized using ME-NBI is a promising preoperative diagnostic marker of papillary adenocarcinoma. Coexisting undifferentiated carcinoma and submucosal invasion were each seen in approximately one fourth of VEC-positive cancers.
27 schema:genre article
28 schema:inLanguage en
29 schema:isAccessibleForFree false
30 schema:isPartOf N3f2d0d4ff51e467a9cb19c4687bd3d73
31 N4c8c9aeb35414119a374da06cc270941
32 sg:journal.1020959
33 schema:keywords ConclusionsThe VEC pattern
34 ME-NBI
35 ResultsHistological papillary structure
36 VEC
37 VEC pattern
38 VEC-negative cancers
39 VEC-negative control lesions
40 VEC-negative lesions
41 VEC-positive adenocarcinomas
42 VEC-positive cancers
43 VEC-positive lesions
44 adenocarcinoma
45 aim
46 aimsPathological studies
47 background
48 cancer
49 carcinoma
50 case-control study
51 circle patterns
52 consecutive early gastric cancers
53 control lesions
54 conventional endoscopy
55 correlation
56 definitive diagnosis
57 diagnosis
58 diagnostic marker
59 differences
60 dissection method
61 early gastric cancer
62 endoscopic submucosal dissection method
63 endoscopy
64 epithelial circle (VEC) pattern
65 features
66 gastric cancer
67 histological papillary structure
68 imaging
69 incidence
70 incidence of submucosal
71 invasion
72 lesions
73 macroscopic type
74 magnifying endoscopy
75 markers
76 materialsFrom 395 consecutive early gastric cancers
77 method
78 narrow-band imaging
79 papillary adenocarcinoma
80 papillary structures
81 patients
82 patterns
83 preoperative diagnosis
84 preoperative diagnostic marker
85 promising preoperative diagnostic marker
86 significant differences
87 size
88 structure
89 study
90 submucosal
91 submucosal dissection method
92 submucosal invasion
93 tubular adenocarcinoma
94 types
95 undifferentiated carcinoma
96 useful marker
97 vascular invasion
98 vessels
99 schema:name The vessels within epithelial circle (VEC) pattern as visualized by magnifying endoscopy with narrow-band imaging (ME-NBI) is a useful marker for the diagnosis of papillary adenocarcinoma: a case-controlled study
100 schema:pagination 469-477
101 schema:productId N47fa0823ac944b12af6736af3d24250f
102 N9b5d54d849df4458b6bff812c64f5bd3
103 Nf6ce32a373ef48408ef963c71738c4ef
104 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022313399
105 https://doi.org/10.1007/s10120-013-0295-1
106 schema:sdDatePublished 2021-12-01T19:28
107 schema:sdLicense https://scigraph.springernature.com/explorer/license/
108 schema:sdPublisher N4e03003d63ce4f5189fdad44d56f0b9b
109 schema:url https://doi.org/10.1007/s10120-013-0295-1
110 sgo:license sg:explorer/license/
111 sgo:sdDataset articles
112 rdf:type schema:ScholarlyArticle
113 N07a6b2c5ce064408afba2133d24dfeef rdf:first sg:person.01114054065.00
114 rdf:rest N1bbf95f2587a462dbb6eb28143ff38ea
115 N0ae67866776c4630a3d6f58fd6adbfc8 rdf:first sg:person.01274651137.56
116 rdf:rest N38dbdb70dcb24c4385d51886a800afe0
117 N0b904c47a9644d44a948fd3d8ee7b5e3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
118 schema:name Male
119 rdf:type schema:DefinedTerm
120 N10b74007bacc4b4cbc28b853b97fa48d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
121 schema:name Aged, 80 and over
122 rdf:type schema:DefinedTerm
123 N1bbf95f2587a462dbb6eb28143ff38ea rdf:first sg:person.0754061712.40
124 rdf:rest N916c1b2866ea46b59241c22fffc82ab2
125 N1c3d302166bd456385de7441ea58643d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
126 schema:name Narrow Band Imaging
127 rdf:type schema:DefinedTerm
128 N228c87f8ddc244dcbe01d074c10defea rdf:first sg:person.01226535737.79
129 rdf:rest N889b6f9be7e54f44ae9fafad9b641ee7
130 N35ef84b91a28411fb673915920e50ae6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
131 schema:name Neoplasm Invasiveness
132 rdf:type schema:DefinedTerm
133 N38dbdb70dcb24c4385d51886a800afe0 rdf:first sg:person.01364013277.27
134 rdf:rest N228c87f8ddc244dcbe01d074c10defea
135 N3d42f0e12bd14c9fa4f16b49c8ee1fff schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
136 schema:name Case-Control Studies
137 rdf:type schema:DefinedTerm
138 N3f2d0d4ff51e467a9cb19c4687bd3d73 schema:volumeNumber 17
139 rdf:type schema:PublicationVolume
140 N44a0f15df3ce4f94a471b52f55981add rdf:first sg:person.0706522377.19
141 rdf:rest Na96a25ac00e84bd6b64302bae62d9bca
142 N47fa0823ac944b12af6736af3d24250f schema:name doi
143 schema:value 10.1007/s10120-013-0295-1
144 rdf:type schema:PropertyValue
145 N4c8c9aeb35414119a374da06cc270941 schema:issueNumber 3
146 rdf:type schema:PublicationIssue
147 N4e03003d63ce4f5189fdad44d56f0b9b schema:name Springer Nature - SN SciGraph project
148 rdf:type schema:Organization
149 N5969a476f28946f6b6f8c57ff8235b0f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
150 schema:name Aged
151 rdf:type schema:DefinedTerm
152 N68dad6d394634f7b911fa8dac3cdd7b5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
153 schema:name Humans
154 rdf:type schema:DefinedTerm
155 N889b6f9be7e54f44ae9fafad9b641ee7 rdf:first sg:person.01022750777.16
156 rdf:rest N44a0f15df3ce4f94a471b52f55981add
157 N8b78c64b912746199e1e830c94bdcb83 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
158 schema:name Female
159 rdf:type schema:DefinedTerm
160 N916c1b2866ea46b59241c22fffc82ab2 rdf:first sg:person.0623221337.30
161 rdf:rest rdf:nil
162 N99f24601313942a791115d6e9beb1f22 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
163 schema:name Gastric Mucosa
164 rdf:type schema:DefinedTerm
165 N9ae60f8e98254af3ab2e95ca2ba8ce47 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
166 schema:name Preoperative Care
167 rdf:type schema:DefinedTerm
168 N9b5d54d849df4458b6bff812c64f5bd3 schema:name dimensions_id
169 schema:value pub.1022313399
170 rdf:type schema:PropertyValue
171 N9fc3c010170a4ced93b6ed4a56d90a14 rdf:first sg:person.01116150437.44
172 rdf:rest Nea188f796d07413d893472ec103b78e3
173 Na96a25ac00e84bd6b64302bae62d9bca rdf:first sg:person.014575262532.25
174 rdf:rest N07a6b2c5ce064408afba2133d24dfeef
175 Nc539bb6c0f9547c892d002a0d930cffa schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
176 schema:name Middle Aged
177 rdf:type schema:DefinedTerm
178 Nc8ca97a748d04d5ab288af5a0228e9d2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
179 schema:name Retrospective Studies
180 rdf:type schema:DefinedTerm
181 Ne3228f483e594463a9542e9941eca8c6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
182 schema:name Stomach Neoplasms
183 rdf:type schema:DefinedTerm
184 Ne6d08208f6934643badd0dae5e82f35c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
185 schema:name Gastroscopy
186 rdf:type schema:DefinedTerm
187 Nea188f796d07413d893472ec103b78e3 rdf:first sg:person.01253425777.21
188 rdf:rest N0ae67866776c4630a3d6f58fd6adbfc8
189 Nf4587fcfee8941beaa27eb82db56a243 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
190 schema:name Carcinoma
191 rdf:type schema:DefinedTerm
192 Nf6ce32a373ef48408ef963c71738c4ef schema:name pubmed_id
193 schema:value 24037102
194 rdf:type schema:PropertyValue
195 Nfc9447e53d2e4a75b57e0d09507435cf schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
196 schema:name Adenocarcinoma, Papillary
197 rdf:type schema:DefinedTerm
198 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
199 schema:name Medical and Health Sciences
200 rdf:type schema:DefinedTerm
201 anzsrc-for:1112 schema:inDefinedTermSet anzsrc-for:
202 schema:name Oncology and Carcinogenesis
203 rdf:type schema:DefinedTerm
204 sg:grant.6022175 http://pending.schema.org/fundedItem sg:pub.10.1007/s10120-013-0295-1
205 rdf:type schema:MonetaryGrant
206 sg:journal.1020959 schema:issn 1436-3291
207 1436-3305
208 schema:name Gastric Cancer
209 schema:publisher Springer Nature
210 rdf:type schema:Periodical
211 sg:person.01022750777.16 schema:affiliation grid-institutes:grid.411556.2
212 schema:familyName Ono
213 schema:givenName Yoichiro
214 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01022750777.16
215 rdf:type schema:Person
216 sg:person.01114054065.00 schema:affiliation grid-institutes:grid.413918.6
217 schema:familyName Tanabe
218 schema:givenName Hiroshi
219 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01114054065.00
220 rdf:type schema:Person
221 sg:person.01116150437.44 schema:affiliation grid-institutes:grid.411556.2
222 schema:familyName Kanemitsu
223 schema:givenName Takao
224 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01116150437.44
225 rdf:type schema:Person
226 sg:person.01226535737.79 schema:affiliation grid-institutes:grid.411556.2
227 schema:familyName Takaki
228 schema:givenName Yasuhiro
229 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01226535737.79
230 rdf:type schema:Person
231 sg:person.01253425777.21 schema:affiliation grid-institutes:grid.413918.6
232 schema:familyName Yao
233 schema:givenName Kenshi
234 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01253425777.21
235 rdf:type schema:Person
236 sg:person.01274651137.56 schema:affiliation grid-institutes:grid.411556.2
237 schema:familyName Nagahama
238 schema:givenName Takashi
239 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01274651137.56
240 rdf:type schema:Person
241 sg:person.01364013277.27 schema:affiliation grid-institutes:grid.413918.6
242 schema:familyName Fujiwara
243 schema:givenName Shoko
244 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01364013277.27
245 rdf:type schema:Person
246 sg:person.014575262532.25 schema:affiliation grid-institutes:grid.411556.2
247 schema:familyName Matsui
248 schema:givenName Toshiyuki
249 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014575262532.25
250 rdf:type schema:Person
251 sg:person.0623221337.30 schema:affiliation grid-institutes:grid.413918.6
252 schema:familyName Iwashita
253 schema:givenName Akinori
254 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0623221337.30
255 rdf:type schema:Person
256 sg:person.0706522377.19 schema:affiliation grid-institutes:grid.411556.2
257 schema:familyName Matsushima
258 schema:givenName Yu
259 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0706522377.19
260 rdf:type schema:Person
261 sg:person.0754061712.40 schema:affiliation grid-institutes:grid.413918.6
262 schema:familyName Ota
263 schema:givenName Atsuko
264 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0754061712.40
265 rdf:type schema:Person
266 sg:pub.10.1007/bf00311499 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008514003
267 https://doi.org/10.1007/bf00311499
268 rdf:type schema:CreativeWork
269 sg:pub.10.1007/pl00011687 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007999259
270 https://doi.org/10.1007/pl00011687
271 rdf:type schema:CreativeWork
272 sg:pub.10.1007/s005350170028 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025115900
273 https://doi.org/10.1007/s005350170028
274 rdf:type schema:CreativeWork
275 sg:pub.10.1007/s10120-012-0160-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013238759
276 https://doi.org/10.1007/s10120-012-0160-7
277 rdf:type schema:CreativeWork
278 grid-institutes:grid.411556.2 schema:alternateName Department of Gastroenterology, Fukuoka University Chikushi Hospital, Chikushino, Japan
279 schema:name Department of Gastroenterology, Fukuoka University Chikushi Hospital, Chikushino, Japan
280 rdf:type schema:Organization
281 grid-institutes:grid.413918.6 schema:alternateName Department of Endoscopy, Fukuoka University Chikushi Hospital, 1-1-1 Zokumyoin, 818-8502, Chikushino, Fukuoka, Japan
282 Department of Pathology, Fukuoka University Chikushi Hospital, Chikushino, Japan
283 schema:name Department of Endoscopy, Fukuoka University Chikushi Hospital, 1-1-1 Zokumyoin, 818-8502, Chikushino, Fukuoka, Japan
284 Department of Pathology, Fukuoka University Chikushi Hospital, Chikushino, Japan
285 rdf:type schema:Organization
 




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


...