Surveillance Strategy for Rectal Neuroendocrine Tumors According to Recurrence Risk Stratification View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2014-04

AUTHORS

Dong Hyun Kim, Jin Ha Lee, Yoon Jin Cha, Soo Jung Park, Jae Hee Cheon, Tae Il Kim, Hoguen Kim, Won Ho Kim, Sung Pil Hong

ABSTRACT

BACKGROUND/AIM: Rectal neuroendocrine tumors (NETs) have been increasing in incidence. However, the recommendations for disease surveillance after tumor resection have not been well established. We evaluated the long-term outcomes of rectal NETs and surveillance strategies according to recurrence risk stratification. METHODS: From January 2000 to July 2011, 188 patients diagnosed with rectal NETs were included in this study. Patient characteristics, treatment methods, recurrence rates, risk factors of recurrence, and surveillance schedules were analyzed. RESULTS: The male-to-female ratio was 1.29:1 and the mean age at diagnosis was 50.6 years. The mean tumor size was 6.5 (range 1-30) mm. A total of 144 patients (76.6 %) were treated with endoscopic resection, and 44 patients (23.4 %) were treated with surgical resection as the initial treatment. During the follow-up period, ten patients (5.3 %) had disease recurrence, including one case of local recurrence and nine cases of recurrence at a distant site. Tumor size of >10 mm, invasion of the muscularis propria, increased mitotic index, lymphovascular invasion, and regional lymph node metastases were statistically significant predictors of recurrence by univariate analysis. Among the 152 patients without risk factors of recurrence, only one patient who underwent transanal resection had a local recurrence at 15 months after surgery. CONCLUSION: Our patients with rectal NETs showed favorable clinical outcomes and had a low rate of recurrence. Intensive surveillance with endoscopy or imaging study may not be required in patients without risk factors for recurrence. More... »

PAGES

850-856

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10620-013-2972-7

DOI

http://dx.doi.org/10.1007/s10620-013-2972-7

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1037676819

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/24323182


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/2008/1112", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Oncology and Carcinogenesis", 
        "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": "Carcinoma, Neuroendocrine", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Colonoscopy", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Continuity of Patient Care", 
        "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": "Kaplan-Meier Estimate", 
        "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": "Neoplasm Recurrence, Local", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Population Surveillance", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prognosis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Rectal Neoplasms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Risk Assessment", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Risk Factors", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Yonsei University", 
          "id": "https://www.grid.ac/institutes/grid.15444.30", 
          "name": [
            "Department of Internal Medicine, Institute of Gastroenterology, Yonsei University College of Medicine, 50 Yonsei-ro, 120-752, Seodaemun-gu, Seoul, South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kim", 
        "givenName": "Dong Hyun", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Yonsei University", 
          "id": "https://www.grid.ac/institutes/grid.15444.30", 
          "name": [
            "Department of Internal Medicine, Institute of Gastroenterology, Yonsei University College of Medicine, 50 Yonsei-ro, 120-752, Seodaemun-gu, Seoul, South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lee", 
        "givenName": "Jin Ha", 
        "id": "sg:person.01005060513.63", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01005060513.63"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Yonsei University", 
          "id": "https://www.grid.ac/institutes/grid.15444.30", 
          "name": [
            "Department of Pathology, Yonsei University College of Medicine, Seoul, South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cha", 
        "givenName": "Yoon Jin", 
        "id": "sg:person.01135027476.49", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01135027476.49"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Yonsei University", 
          "id": "https://www.grid.ac/institutes/grid.15444.30", 
          "name": [
            "Department of Internal Medicine, Institute of Gastroenterology, Yonsei University College of Medicine, 50 Yonsei-ro, 120-752, Seodaemun-gu, Seoul, South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Park", 
        "givenName": "Soo Jung", 
        "id": "sg:person.0733275532.51", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0733275532.51"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Yonsei University", 
          "id": "https://www.grid.ac/institutes/grid.15444.30", 
          "name": [
            "Department of Internal Medicine, Institute of Gastroenterology, Yonsei University College of Medicine, 50 Yonsei-ro, 120-752, Seodaemun-gu, Seoul, South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cheon", 
        "givenName": "Jae Hee", 
        "id": "sg:person.01361111112.51", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01361111112.51"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Yonsei University", 
          "id": "https://www.grid.ac/institutes/grid.15444.30", 
          "name": [
            "Department of Internal Medicine, Institute of Gastroenterology, Yonsei University College of Medicine, 50 Yonsei-ro, 120-752, Seodaemun-gu, Seoul, South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kim", 
        "givenName": "Tae Il", 
        "id": "sg:person.015302742440.35", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015302742440.35"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Yonsei University", 
          "id": "https://www.grid.ac/institutes/grid.15444.30", 
          "name": [
            "Department of Pathology, Yonsei University College of Medicine, Seoul, South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kim", 
        "givenName": "Hoguen", 
        "id": "sg:person.01003376625.30", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01003376625.30"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Yonsei University", 
          "id": "https://www.grid.ac/institutes/grid.15444.30", 
          "name": [
            "Department of Internal Medicine, Institute of Gastroenterology, Yonsei University College of Medicine, 50 Yonsei-ro, 120-752, Seodaemun-gu, Seoul, South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kim", 
        "givenName": "Won Ho", 
        "id": "sg:person.012071233174.13", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012071233174.13"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Yonsei University", 
          "id": "https://www.grid.ac/institutes/grid.15444.30", 
          "name": [
            "Department of Internal Medicine, Institute of Gastroenterology, Yonsei University College of Medicine, 50 Yonsei-ro, 120-752, Seodaemun-gu, Seoul, South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hong", 
        "givenName": "Sung Pil", 
        "id": "sg:person.01120052374.02", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01120052374.02"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s00384-010-0949-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000213241", 
          "https://doi.org/10.1007/s00384-010-0949-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00384-010-0949-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000213241", 
          "https://doi.org/10.1007/s00384-010-0949-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/meg.0b013e3283551e0b", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003002206"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/meg.0b013e3283551e0b", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003002206"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/archsurg.143.5.471", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003323334"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/(sici)1097-0142(19970215)79:4<813::aid-cncr19>3.0.co;2-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005198951"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1245/s10434-012-2442-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010058880", 
          "https://doi.org/10.1245/s10434-012-2442-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/gut.2006.109157", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014582408"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1159/000111036", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032787587"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02050318", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035668893", 
          "https://doi.org/10.1007/bf02050318"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1007/bf02050318", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035668893"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1007/bf02050318", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035668893"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/mpa.0b013e3181ec1261", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038140605"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/mpa.0b013e3181ec1261", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038140605"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1159/000335594", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041927730"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02385898", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043420530", 
          "https://doi.org/10.1007/bf02385898"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02385898", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043420530", 
          "https://doi.org/10.1007/bf02385898"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.gie.2011.11.032", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047580655"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1245/s10434-006-9197-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051066402", 
          "https://doi.org/10.1245/s10434-006-9197-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1007/dcr.0b013e3181b9db7b", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051833155"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1007/dcr.0b013e3181b9db7b", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051833155"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1055/s-0030-1256414", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057221423"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.6004/jnccn.2012.0075", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1078574727"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.6004/jnccn.2012.0075", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1078574727"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1081864505", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082623910", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2014-04", 
    "datePublishedReg": "2014-04-01", 
    "description": "BACKGROUND/AIM: Rectal neuroendocrine tumors (NETs) have been increasing in incidence. However, the recommendations for disease surveillance after tumor resection have not been well established. We evaluated the long-term outcomes of rectal NETs and surveillance strategies according to recurrence risk stratification.\nMETHODS: From January 2000 to July 2011, 188 patients diagnosed with rectal NETs were included in this study. Patient characteristics, treatment methods, recurrence rates, risk factors of recurrence, and surveillance schedules were analyzed.\nRESULTS: The male-to-female ratio was 1.29:1 and the mean age at diagnosis was 50.6 years. The mean tumor size was 6.5 (range 1-30) mm. A total of 144 patients (76.6 %) were treated with endoscopic resection, and 44 patients (23.4 %) were treated with surgical resection as the initial treatment. During the follow-up period, ten patients (5.3 %) had disease recurrence, including one case of local recurrence and nine cases of recurrence at a distant site. Tumor size of >10 mm, invasion of the muscularis propria, increased mitotic index, lymphovascular invasion, and regional lymph node metastases were statistically significant predictors of recurrence by univariate analysis. Among the 152 patients without risk factors of recurrence, only one patient who underwent transanal resection had a local recurrence at 15 months after surgery.\nCONCLUSION: Our patients with rectal NETs showed favorable clinical outcomes and had a low rate of recurrence. Intensive surveillance with endoscopy or imaging study may not be required in patients without risk factors for recurrence.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s10620-013-2972-7", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1018525", 
        "issn": [
          "0163-2116", 
          "1573-2568"
        ], 
        "name": "Digestive Diseases and Sciences", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "4", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "59"
      }
    ], 
    "name": "Surveillance Strategy for Rectal Neuroendocrine Tumors According to Recurrence Risk Stratification", 
    "pagination": "850-856", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "b37ae23da8391127bd4d98b1d38a317c08fc32a04a2bb091f1b1e03b31e54294"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "24323182"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "7902782"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10620-013-2972-7"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1037676819"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10620-013-2972-7", 
      "https://app.dimensions.ai/details/publication/pub.1037676819"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T23:19", 
    "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_8693_00000490.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/s10620-013-2972-7"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s10620-013-2972-7'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s10620-013-2972-7'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10620-013-2972-7'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10620-013-2972-7'


 

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

249 TRIPLES      21 PREDICATES      64 URIs      37 LITERALS      25 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10620-013-2972-7 schema:about N0ec36f75fd32442cacf6d7aad2f8544a
2 N21692ac64a474d11bfd379f9c07b9238
3 N489cd3b022c54c09bc233d2c5e7b6cdf
4 N60c2114c36ee48ada0873d8c4d711118
5 N68ab6ef4ea3c4e629ee70d77be1a8eaf
6 N6c62a8f34e5e4168b3e232ffb232c433
7 N7109b3eacfe242a1bce2fedab2e1c92f
8 N7596b0a14cd1436f8231c088abd52bbb
9 N7759be04e77e4b1784641c866ce28ed3
10 N7b31a0feb6614af2afd7c0456bd08e06
11 N969b0a6a7a034eea9d92fc895ae93d60
12 N9ade684ba88e4813978cbf69ad3361c4
13 N9fe5ee9d73cb49298ae12ea9ec883c09
14 Nbe3f6d311f7c496bb82886142a4c41b0
15 Ne039c1826ffd4baaa8fd7369f09710e3
16 Ne615e03507ad40fa8b1bcbe325aa2db5
17 anzsrc-for:11
18 anzsrc-for:1112
19 schema:author N61e4434bbcba457a831ede367a36a0e6
20 schema:citation sg:pub.10.1007/bf02050318
21 sg:pub.10.1007/bf02385898
22 sg:pub.10.1007/s00384-010-0949-y
23 sg:pub.10.1245/s10434-006-9197-3
24 sg:pub.10.1245/s10434-012-2442-z
25 https://app.dimensions.ai/details/publication/pub.1081864505
26 https://app.dimensions.ai/details/publication/pub.1082623910
27 https://doi.org/10.1001/archsurg.143.5.471
28 https://doi.org/10.1002/(sici)1097-0142(19970215)79:4<813::aid-cncr19>3.0.co;2-2
29 https://doi.org/10.1007/bf02050318
30 https://doi.org/10.1007/dcr.0b013e3181b9db7b
31 https://doi.org/10.1016/j.gie.2011.11.032
32 https://doi.org/10.1055/s-0030-1256414
33 https://doi.org/10.1097/meg.0b013e3283551e0b
34 https://doi.org/10.1097/mpa.0b013e3181ec1261
35 https://doi.org/10.1136/gut.2006.109157
36 https://doi.org/10.1159/000111036
37 https://doi.org/10.1159/000335594
38 https://doi.org/10.6004/jnccn.2012.0075
39 schema:datePublished 2014-04
40 schema:datePublishedReg 2014-04-01
41 schema:description BACKGROUND/AIM: Rectal neuroendocrine tumors (NETs) have been increasing in incidence. However, the recommendations for disease surveillance after tumor resection have not been well established. We evaluated the long-term outcomes of rectal NETs and surveillance strategies according to recurrence risk stratification. METHODS: From January 2000 to July 2011, 188 patients diagnosed with rectal NETs were included in this study. Patient characteristics, treatment methods, recurrence rates, risk factors of recurrence, and surveillance schedules were analyzed. RESULTS: The male-to-female ratio was 1.29:1 and the mean age at diagnosis was 50.6 years. The mean tumor size was 6.5 (range 1-30) mm. A total of 144 patients (76.6 %) were treated with endoscopic resection, and 44 patients (23.4 %) were treated with surgical resection as the initial treatment. During the follow-up period, ten patients (5.3 %) had disease recurrence, including one case of local recurrence and nine cases of recurrence at a distant site. Tumor size of >10 mm, invasion of the muscularis propria, increased mitotic index, lymphovascular invasion, and regional lymph node metastases were statistically significant predictors of recurrence by univariate analysis. Among the 152 patients without risk factors of recurrence, only one patient who underwent transanal resection had a local recurrence at 15 months after surgery. CONCLUSION: Our patients with rectal NETs showed favorable clinical outcomes and had a low rate of recurrence. Intensive surveillance with endoscopy or imaging study may not be required in patients without risk factors for recurrence.
42 schema:genre research_article
43 schema:inLanguage en
44 schema:isAccessibleForFree false
45 schema:isPartOf N4e55af6cb53e4eafad88071cd69cd4ad
46 N734cc812fcfc475ea5ac092755e867f0
47 sg:journal.1018525
48 schema:name Surveillance Strategy for Rectal Neuroendocrine Tumors According to Recurrence Risk Stratification
49 schema:pagination 850-856
50 schema:productId N0e811a004e534ae6a07ebf20d9573571
51 N2270e7b7ed1b48bfbbc0767ace0e677c
52 N42b46d8e09fd45a8908d469bf4e2e5a3
53 N459b8882e1e147b6badcd1776efb12b4
54 Nd7899d71d1774941a40803c294fbb33f
55 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037676819
56 https://doi.org/10.1007/s10620-013-2972-7
57 schema:sdDatePublished 2019-04-10T23:19
58 schema:sdLicense https://scigraph.springernature.com/explorer/license/
59 schema:sdPublisher Nbe96afed5c304b2b9aad4f81dfdb5a46
60 schema:url http://link.springer.com/10.1007/s10620-013-2972-7
61 sgo:license sg:explorer/license/
62 sgo:sdDataset articles
63 rdf:type schema:ScholarlyArticle
64 N0e811a004e534ae6a07ebf20d9573571 schema:name pubmed_id
65 schema:value 24323182
66 rdf:type schema:PropertyValue
67 N0ec36f75fd32442cacf6d7aad2f8544a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
68 schema:name Colonoscopy
69 rdf:type schema:DefinedTerm
70 N21692ac64a474d11bfd379f9c07b9238 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
71 schema:name Aged
72 rdf:type schema:DefinedTerm
73 N2270e7b7ed1b48bfbbc0767ace0e677c schema:name doi
74 schema:value 10.1007/s10620-013-2972-7
75 rdf:type schema:PropertyValue
76 N3ae1958112c24d49ab4644276a23e098 rdf:first sg:person.01135027476.49
77 rdf:rest N4731ede55acb48cf84d2561abfe4ee2a
78 N42b46d8e09fd45a8908d469bf4e2e5a3 schema:name readcube_id
79 schema:value b37ae23da8391127bd4d98b1d38a317c08fc32a04a2bb091f1b1e03b31e54294
80 rdf:type schema:PropertyValue
81 N459b8882e1e147b6badcd1776efb12b4 schema:name dimensions_id
82 schema:value pub.1037676819
83 rdf:type schema:PropertyValue
84 N4731ede55acb48cf84d2561abfe4ee2a rdf:first sg:person.0733275532.51
85 rdf:rest Nabc71611d9ff4bfd95701983492d559b
86 N489cd3b022c54c09bc233d2c5e7b6cdf schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
87 schema:name Carcinoma, Neuroendocrine
88 rdf:type schema:DefinedTerm
89 N49cfc665afd345c49dd1656fcbe02ca5 rdf:first sg:person.01120052374.02
90 rdf:rest rdf:nil
91 N4e55af6cb53e4eafad88071cd69cd4ad schema:volumeNumber 59
92 rdf:type schema:PublicationVolume
93 N60c2114c36ee48ada0873d8c4d711118 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
94 schema:name Female
95 rdf:type schema:DefinedTerm
96 N61e4434bbcba457a831ede367a36a0e6 rdf:first Nd6e5140215874dbeac018edb4a5755c1
97 rdf:rest Nc63de6da17a8496394a40483888ff108
98 N68ab6ef4ea3c4e629ee70d77be1a8eaf schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
99 schema:name Risk Assessment
100 rdf:type schema:DefinedTerm
101 N6c62a8f34e5e4168b3e232ffb232c433 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
102 schema:name Middle Aged
103 rdf:type schema:DefinedTerm
104 N7109b3eacfe242a1bce2fedab2e1c92f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
105 schema:name Neoplasm Recurrence, Local
106 rdf:type schema:DefinedTerm
107 N734cc812fcfc475ea5ac092755e867f0 schema:issueNumber 4
108 rdf:type schema:PublicationIssue
109 N7596b0a14cd1436f8231c088abd52bbb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
110 schema:name Kaplan-Meier Estimate
111 rdf:type schema:DefinedTerm
112 N7759be04e77e4b1784641c866ce28ed3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
113 schema:name Risk Factors
114 rdf:type schema:DefinedTerm
115 N7b31a0feb6614af2afd7c0456bd08e06 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
116 schema:name Adult
117 rdf:type schema:DefinedTerm
118 N882a155ecc1f4f3faeb67e6d47d9fc9c rdf:first sg:person.015302742440.35
119 rdf:rest N8c76358d0b3c42a0ad382291d15bd1b8
120 N8c76358d0b3c42a0ad382291d15bd1b8 rdf:first sg:person.01003376625.30
121 rdf:rest Nac4eabb2c57b449c9573f6259fa3ca28
122 N969b0a6a7a034eea9d92fc895ae93d60 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
123 schema:name Population Surveillance
124 rdf:type schema:DefinedTerm
125 N9ade684ba88e4813978cbf69ad3361c4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
126 schema:name Continuity of Patient Care
127 rdf:type schema:DefinedTerm
128 N9fe5ee9d73cb49298ae12ea9ec883c09 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
129 schema:name Humans
130 rdf:type schema:DefinedTerm
131 Nabc71611d9ff4bfd95701983492d559b rdf:first sg:person.01361111112.51
132 rdf:rest N882a155ecc1f4f3faeb67e6d47d9fc9c
133 Nac4eabb2c57b449c9573f6259fa3ca28 rdf:first sg:person.012071233174.13
134 rdf:rest N49cfc665afd345c49dd1656fcbe02ca5
135 Nbe3f6d311f7c496bb82886142a4c41b0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
136 schema:name Prognosis
137 rdf:type schema:DefinedTerm
138 Nbe96afed5c304b2b9aad4f81dfdb5a46 schema:name Springer Nature - SN SciGraph project
139 rdf:type schema:Organization
140 Nc63de6da17a8496394a40483888ff108 rdf:first sg:person.01005060513.63
141 rdf:rest N3ae1958112c24d49ab4644276a23e098
142 Nd6e5140215874dbeac018edb4a5755c1 schema:affiliation https://www.grid.ac/institutes/grid.15444.30
143 schema:familyName Kim
144 schema:givenName Dong Hyun
145 rdf:type schema:Person
146 Nd7899d71d1774941a40803c294fbb33f schema:name nlm_unique_id
147 schema:value 7902782
148 rdf:type schema:PropertyValue
149 Ne039c1826ffd4baaa8fd7369f09710e3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
150 schema:name Rectal Neoplasms
151 rdf:type schema:DefinedTerm
152 Ne615e03507ad40fa8b1bcbe325aa2db5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
153 schema:name Male
154 rdf:type schema:DefinedTerm
155 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
156 schema:name Medical and Health Sciences
157 rdf:type schema:DefinedTerm
158 anzsrc-for:1112 schema:inDefinedTermSet anzsrc-for:
159 schema:name Oncology and Carcinogenesis
160 rdf:type schema:DefinedTerm
161 sg:journal.1018525 schema:issn 0163-2116
162 1573-2568
163 schema:name Digestive Diseases and Sciences
164 rdf:type schema:Periodical
165 sg:person.01003376625.30 schema:affiliation https://www.grid.ac/institutes/grid.15444.30
166 schema:familyName Kim
167 schema:givenName Hoguen
168 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01003376625.30
169 rdf:type schema:Person
170 sg:person.01005060513.63 schema:affiliation https://www.grid.ac/institutes/grid.15444.30
171 schema:familyName Lee
172 schema:givenName Jin Ha
173 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01005060513.63
174 rdf:type schema:Person
175 sg:person.01120052374.02 schema:affiliation https://www.grid.ac/institutes/grid.15444.30
176 schema:familyName Hong
177 schema:givenName Sung Pil
178 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01120052374.02
179 rdf:type schema:Person
180 sg:person.01135027476.49 schema:affiliation https://www.grid.ac/institutes/grid.15444.30
181 schema:familyName Cha
182 schema:givenName Yoon Jin
183 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01135027476.49
184 rdf:type schema:Person
185 sg:person.012071233174.13 schema:affiliation https://www.grid.ac/institutes/grid.15444.30
186 schema:familyName Kim
187 schema:givenName Won Ho
188 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012071233174.13
189 rdf:type schema:Person
190 sg:person.01361111112.51 schema:affiliation https://www.grid.ac/institutes/grid.15444.30
191 schema:familyName Cheon
192 schema:givenName Jae Hee
193 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01361111112.51
194 rdf:type schema:Person
195 sg:person.015302742440.35 schema:affiliation https://www.grid.ac/institutes/grid.15444.30
196 schema:familyName Kim
197 schema:givenName Tae Il
198 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015302742440.35
199 rdf:type schema:Person
200 sg:person.0733275532.51 schema:affiliation https://www.grid.ac/institutes/grid.15444.30
201 schema:familyName Park
202 schema:givenName Soo Jung
203 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0733275532.51
204 rdf:type schema:Person
205 sg:pub.10.1007/bf02050318 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035668893
206 https://doi.org/10.1007/bf02050318
207 rdf:type schema:CreativeWork
208 sg:pub.10.1007/bf02385898 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043420530
209 https://doi.org/10.1007/bf02385898
210 rdf:type schema:CreativeWork
211 sg:pub.10.1007/s00384-010-0949-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1000213241
212 https://doi.org/10.1007/s00384-010-0949-y
213 rdf:type schema:CreativeWork
214 sg:pub.10.1245/s10434-006-9197-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051066402
215 https://doi.org/10.1245/s10434-006-9197-3
216 rdf:type schema:CreativeWork
217 sg:pub.10.1245/s10434-012-2442-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1010058880
218 https://doi.org/10.1245/s10434-012-2442-z
219 rdf:type schema:CreativeWork
220 https://app.dimensions.ai/details/publication/pub.1081864505 schema:CreativeWork
221 https://app.dimensions.ai/details/publication/pub.1082623910 schema:CreativeWork
222 https://doi.org/10.1001/archsurg.143.5.471 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003323334
223 rdf:type schema:CreativeWork
224 https://doi.org/10.1002/(sici)1097-0142(19970215)79:4<813::aid-cncr19>3.0.co;2-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005198951
225 rdf:type schema:CreativeWork
226 https://doi.org/10.1007/bf02050318 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035668893
227 rdf:type schema:CreativeWork
228 https://doi.org/10.1007/dcr.0b013e3181b9db7b schema:sameAs https://app.dimensions.ai/details/publication/pub.1051833155
229 rdf:type schema:CreativeWork
230 https://doi.org/10.1016/j.gie.2011.11.032 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047580655
231 rdf:type schema:CreativeWork
232 https://doi.org/10.1055/s-0030-1256414 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057221423
233 rdf:type schema:CreativeWork
234 https://doi.org/10.1097/meg.0b013e3283551e0b schema:sameAs https://app.dimensions.ai/details/publication/pub.1003002206
235 rdf:type schema:CreativeWork
236 https://doi.org/10.1097/mpa.0b013e3181ec1261 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038140605
237 rdf:type schema:CreativeWork
238 https://doi.org/10.1136/gut.2006.109157 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014582408
239 rdf:type schema:CreativeWork
240 https://doi.org/10.1159/000111036 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032787587
241 rdf:type schema:CreativeWork
242 https://doi.org/10.1159/000335594 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041927730
243 rdf:type schema:CreativeWork
244 https://doi.org/10.6004/jnccn.2012.0075 schema:sameAs https://app.dimensions.ai/details/publication/pub.1078574727
245 rdf:type schema:CreativeWork
246 https://www.grid.ac/institutes/grid.15444.30 schema:alternateName Yonsei University
247 schema:name Department of Internal Medicine, Institute of Gastroenterology, Yonsei University College of Medicine, 50 Yonsei-ro, 120-752, Seodaemun-gu, Seoul, South Korea
248 Department of Pathology, Yonsei University College of Medicine, Seoul, South Korea
249 rdf:type schema:Organization
 




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


...