Gastrointestinal tract complications after hepatic radiofrequency ablation: CT prediction for major complications View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-03

AUTHORS

Yun Soo Jeong, Se Hyung Kim, Jeong Min Lee, Jae Young Lee, Jung Hoon Kim, Dong Ho Lee, Hyo-Jin Kang, Chang Jin Yoon, Joon Koo Han

ABSTRACT

PURPOSE: To analyze CT features that predict major gastrointestinal tract (GIT) complication after hepatic radiofrequency ablation (RFA). MATERIALS AND METHODS: Of 3933 patients who underwent RFA for hepatic malignancy from January 2005 to September 2016, 52 patients (1.32%) who had GIT complications were retrospectively enrolled. Electronic medical records and CT results were reviewed for location (left vs. right lobe, subcapsular vs. non-subcapsular) and tumor size, distance from the hepatic capsule, number and length of needles, ablation time, presence of artificial ascites, previous history of percutaneous treatment or operation, injured organs, length and thickness of injured GIT, presence of adjacent infiltration, ascites, mucosal discontinuity, and free air, and eccentricity. Patients were divided into those that recovered with conservative treatment (minor group) and those that required operation (major group). Chi-square test, Fisher's exact test, and Mann-Whitney U test analyzed differences between the two groups; however, the most significant variable was found using binary logistic regression analysis. RESULTS: Of 52 patients who had GIT complications after hepatic RFA, 2 patients (0.05%) had major GIT complications, while the remaining 50 patients (1.27%) had minor complications. Most (47/52, 90.4%) of the tumors were located at subcapsular portion. 66% of tumors were located at the left hepatic lobe. Stomach was the most frequent injured organ (28/52, 53.8%), followed by colon (17/52, 32.7%) and small bowel (7/52, 13.5%). Patients with major GIT complications had significantly thicker (1.8 vs. 1.1 cm) and concentric (2/2, 100% vs. 1/50, 2.0%) bowel wall thickening with mucosal discontinuity (2/2, 100% vs. 0/50, 0%) than those with minor complications (P < 0.05). CONCLUSION: GIT complication after hepatic RFA is rare and often requires conservative treatment. However, patients who show >1.65-cm-thick, concentric bowel wall thickening with mucosal disruption on CT after hepatic RFA may have major GIT injury that requires bowel surgery. More... »

PAGES

583-592

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00261-017-1239-8

DOI

http://dx.doi.org/10.1007/s00261-017-1239-8

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1090350922

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/28676999


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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Seoul National University Hospital", 
          "id": "https://www.grid.ac/institutes/grid.412484.f", 
          "name": [
            "Department of Radiology, Seoul National University Hospital, 101 Daehangno, Jongno-gu, 03080, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jeong", 
        "givenName": "Yun Soo", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Seoul National University", 
          "id": "https://www.grid.ac/institutes/grid.31501.36", 
          "name": [
            "Department of Radiology, Seoul National University Hospital, 101 Daehangno, Jongno-gu, 03080, Seoul, Korea", 
            "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 Hospital", 
          "id": "https://www.grid.ac/institutes/grid.412484.f", 
          "name": [
            "Department of Radiology, Seoul National University Hospital, 101 Daehangno, Jongno-gu, 03080, Seoul, Korea", 
            "Department of Radiology, Seoul National University College of Medicine, Seoul, Korea", 
            "Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lee", 
        "givenName": "Jeong Min", 
        "id": "sg:person.01266602714.81", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01266602714.81"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Seoul National University Hospital", 
          "id": "https://www.grid.ac/institutes/grid.412484.f", 
          "name": [
            "Department of Radiology, Seoul National University Hospital, 101 Daehangno, Jongno-gu, 03080, Seoul, Korea", 
            "Department of Radiology, Seoul National University College of Medicine, Seoul, Korea", 
            "Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lee", 
        "givenName": "Jae Young", 
        "id": "sg:person.01202764664.04", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01202764664.04"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Seoul National University Hospital", 
          "id": "https://www.grid.ac/institutes/grid.412484.f", 
          "name": [
            "Department of Radiology, Seoul National University Hospital, 101 Daehangno, Jongno-gu, 03080, Seoul, Korea", 
            "Department of Radiology, Seoul National University College of Medicine, Seoul, Korea", 
            "Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kim", 
        "givenName": "Jung Hoon", 
        "id": "sg:person.014534173224.00", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014534173224.00"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Seoul National University", 
          "id": "https://www.grid.ac/institutes/grid.31501.36", 
          "name": [
            "Department of Radiology, Seoul National University Hospital, 101 Daehangno, Jongno-gu, 03080, Seoul, Korea", 
            "Department of Radiology, Seoul National University College of Medicine, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lee", 
        "givenName": "Dong Ho", 
        "id": "sg:person.0662301041.59", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0662301041.59"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Seoul National University", 
          "id": "https://www.grid.ac/institutes/grid.31501.36", 
          "name": [
            "Department of Radiology, Seoul National University Hospital, 101 Daehangno, Jongno-gu, 03080, Seoul, Korea", 
            "Department of Radiology, Seoul National University College of Medicine, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kang", 
        "givenName": "Hyo-Jin", 
        "id": "sg:person.01011545037.83", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01011545037.83"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Seoul National University Bundang Hospital", 
          "id": "https://www.grid.ac/institutes/grid.412480.b", 
          "name": [
            "Department of Radiology, Seoul National University College of Medicine, Seoul, Korea", 
            "Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Korea", 
            "Department of Radiology, Seoul National University Bundang Hospital, Seongnam, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yoon", 
        "givenName": "Chang Jin", 
        "id": "sg:person.0672304137.53", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0672304137.53"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Seoul National University Hospital", 
          "id": "https://www.grid.ac/institutes/grid.412484.f", 
          "name": [
            "Department of Radiology, Seoul National University Hospital, 101 Daehangno, Jongno-gu, 03080, Seoul, Korea", 
            "Department of Radiology, Seoul National University College of Medicine, Seoul, Korea", 
            "Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Han", 
        "givenName": "Joon Koo", 
        "id": "sg:person.0647723014.95", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0647723014.95"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1148/rg.282075038", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002964792"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiographics.21.suppl_1.g01oc08s41", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005071126"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiol.2262012198", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010008615"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0284185113513893", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011550201"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0284185113513893", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011550201"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jvir.2016.06.027", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015171438"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3348/kjr.2012.13.1.34", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031617839"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiology.217.3.r00dc26633", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031823130"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cncr.20892", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036412668"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-011-2222-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050136929", 
          "https://doi.org/10.1007/s00330-011-2222-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00535-003-1280-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051483031", 
          "https://doi.org/10.1007/s00535-003-1280-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiol.13121736", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052576362"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0929-8266(01)00171-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052879568"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1055/s-0031-1280658", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057242156"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2214/ajr.176.1.1760003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069323701"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2214/ajr.181.3.1810695", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069325658"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiographics.21.suppl_1.g01oc11s17", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1074892985"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074998825", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-03", 
    "datePublishedReg": "2018-03-01", 
    "description": "PURPOSE: To analyze CT features that predict major gastrointestinal tract (GIT) complication after hepatic radiofrequency ablation (RFA).\nMATERIALS AND METHODS: Of 3933 patients who underwent RFA for hepatic malignancy from January 2005 to September 2016, 52 patients (1.32%) who had GIT complications were retrospectively enrolled. Electronic medical records and CT results were reviewed for location (left vs. right lobe, subcapsular vs. non-subcapsular) and tumor size, distance from the hepatic capsule, number and length of needles, ablation time, presence of artificial ascites, previous history of percutaneous treatment or operation, injured organs, length and thickness of injured GIT, presence of adjacent infiltration, ascites, mucosal discontinuity, and free air, and eccentricity. Patients were divided into those that recovered with conservative treatment (minor group) and those that required operation (major group). Chi-square test, Fisher's exact test, and Mann-Whitney U test analyzed differences between the two groups; however, the most significant variable was found using binary logistic regression analysis.\nRESULTS: Of 52 patients who had GIT complications after hepatic RFA, 2 patients (0.05%) had major GIT complications, while the remaining 50 patients (1.27%) had minor complications. Most (47/52, 90.4%) of the tumors were located at subcapsular portion. 66% of tumors were located at the left hepatic lobe. Stomach was the most frequent injured organ (28/52, 53.8%), followed by colon (17/52, 32.7%) and small bowel (7/52, 13.5%). Patients with major GIT complications had significantly thicker (1.8 vs. 1.1\u00a0cm) and concentric (2/2, 100% vs. 1/50, 2.0%) bowel wall thickening with mucosal discontinuity (2/2, 100% vs. 0/50, 0%) than those with minor complications (P\u00a0<\u00a00.05).\nCONCLUSION: GIT complication after hepatic RFA is rare and often requires conservative treatment. However, patients who show\u00a0>1.65-cm-thick, concentric bowel wall thickening with mucosal disruption on CT after hepatic RFA may have major GIT injury that requires bowel surgery.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00261-017-1239-8", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1297457", 
        "issn": [
          "2366-004X", 
          "2366-0058"
        ], 
        "name": "Abdominal Radiology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "3", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "43"
      }
    ], 
    "name": "Gastrointestinal tract complications after hepatic radiofrequency ablation: CT prediction for major complications", 
    "pagination": "583-592", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "c922ec3f8c9b571e9c8668d39592bfc4cbbab4b435bf1575bbe3b65da37660e1"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "28676999"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101674571"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00261-017-1239-8"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1090350922"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00261-017-1239-8", 
      "https://app.dimensions.ai/details/publication/pub.1090350922"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T10:34", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000349_0000000349/records_113661_00000004.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs00261-017-1239-8"
  }
]
 

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

HOW TO GET THIS DATA PROGRAMMATICALLY:

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

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s00261-017-1239-8'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00261-017-1239-8'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00261-017-1239-8'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00261-017-1239-8'


 

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

187 TRIPLES      21 PREDICATES      46 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00261-017-1239-8 schema:about anzsrc-for:11
2 anzsrc-for:1103
3 schema:author N8e7319db362b46f89f014cd84797679b
4 schema:citation sg:pub.10.1007/s00330-011-2222-3
5 sg:pub.10.1007/s00535-003-1280-y
6 https://app.dimensions.ai/details/publication/pub.1074998825
7 https://doi.org/10.1002/cncr.20892
8 https://doi.org/10.1016/j.jvir.2016.06.027
9 https://doi.org/10.1016/s0929-8266(01)00171-9
10 https://doi.org/10.1055/s-0031-1280658
11 https://doi.org/10.1148/radiographics.21.suppl_1.g01oc08s41
12 https://doi.org/10.1148/radiographics.21.suppl_1.g01oc11s17
13 https://doi.org/10.1148/radiol.13121736
14 https://doi.org/10.1148/radiol.2262012198
15 https://doi.org/10.1148/radiology.217.3.r00dc26633
16 https://doi.org/10.1148/rg.282075038
17 https://doi.org/10.1177/0284185113513893
18 https://doi.org/10.2214/ajr.176.1.1760003
19 https://doi.org/10.2214/ajr.181.3.1810695
20 https://doi.org/10.3348/kjr.2012.13.1.34
21 schema:datePublished 2018-03
22 schema:datePublishedReg 2018-03-01
23 schema:description PURPOSE: To analyze CT features that predict major gastrointestinal tract (GIT) complication after hepatic radiofrequency ablation (RFA). MATERIALS AND METHODS: Of 3933 patients who underwent RFA for hepatic malignancy from January 2005 to September 2016, 52 patients (1.32%) who had GIT complications were retrospectively enrolled. Electronic medical records and CT results were reviewed for location (left vs. right lobe, subcapsular vs. non-subcapsular) and tumor size, distance from the hepatic capsule, number and length of needles, ablation time, presence of artificial ascites, previous history of percutaneous treatment or operation, injured organs, length and thickness of injured GIT, presence of adjacent infiltration, ascites, mucosal discontinuity, and free air, and eccentricity. Patients were divided into those that recovered with conservative treatment (minor group) and those that required operation (major group). Chi-square test, Fisher's exact test, and Mann-Whitney U test analyzed differences between the two groups; however, the most significant variable was found using binary logistic regression analysis. RESULTS: Of 52 patients who had GIT complications after hepatic RFA, 2 patients (0.05%) had major GIT complications, while the remaining 50 patients (1.27%) had minor complications. Most (47/52, 90.4%) of the tumors were located at subcapsular portion. 66% of tumors were located at the left hepatic lobe. Stomach was the most frequent injured organ (28/52, 53.8%), followed by colon (17/52, 32.7%) and small bowel (7/52, 13.5%). Patients with major GIT complications had significantly thicker (1.8 vs. 1.1 cm) and concentric (2/2, 100% vs. 1/50, 2.0%) bowel wall thickening with mucosal discontinuity (2/2, 100% vs. 0/50, 0%) than those with minor complications (P < 0.05). CONCLUSION: GIT complication after hepatic RFA is rare and often requires conservative treatment. However, patients who show >1.65-cm-thick, concentric bowel wall thickening with mucosal disruption on CT after hepatic RFA may have major GIT injury that requires bowel surgery.
24 schema:genre research_article
25 schema:inLanguage en
26 schema:isAccessibleForFree false
27 schema:isPartOf Nb17417e076e1427b8c43d2a58dec2da4
28 Ne372a0458d2c400087482a95e6a4853a
29 sg:journal.1297457
30 schema:name Gastrointestinal tract complications after hepatic radiofrequency ablation: CT prediction for major complications
31 schema:pagination 583-592
32 schema:productId N22273b4c21c44f80b52cbab015141407
33 N29dd7d9c2cc64b5e9dc424fba87e3629
34 N783bdb0bcda74c5aa3746901b8f88340
35 Nafed7a8cf9204085bea55f4c17cf5ead
36 Nd08db6dd089a42908948607387fe32f6
37 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090350922
38 https://doi.org/10.1007/s00261-017-1239-8
39 schema:sdDatePublished 2019-04-11T10:34
40 schema:sdLicense https://scigraph.springernature.com/explorer/license/
41 schema:sdPublisher N208024678c2847f48805364bbccfb1e3
42 schema:url https://link.springer.com/10.1007%2Fs00261-017-1239-8
43 sgo:license sg:explorer/license/
44 sgo:sdDataset articles
45 rdf:type schema:ScholarlyArticle
46 N208024678c2847f48805364bbccfb1e3 schema:name Springer Nature - SN SciGraph project
47 rdf:type schema:Organization
48 N22273b4c21c44f80b52cbab015141407 schema:name readcube_id
49 schema:value c922ec3f8c9b571e9c8668d39592bfc4cbbab4b435bf1575bbe3b65da37660e1
50 rdf:type schema:PropertyValue
51 N29dd7d9c2cc64b5e9dc424fba87e3629 schema:name dimensions_id
52 schema:value pub.1090350922
53 rdf:type schema:PropertyValue
54 N39a080c2cf7c43a29201eb0cdaf269fa schema:affiliation https://www.grid.ac/institutes/grid.412484.f
55 schema:familyName Jeong
56 schema:givenName Yun Soo
57 rdf:type schema:Person
58 N5e407065c43f4777a67e4f2419d5046d rdf:first sg:person.01266602714.81
59 rdf:rest Nc6f9cfe0880e4eb6a49fb5f1b86a3d27
60 N77415bf1dff94675bba3a9930938e20f rdf:first sg:person.016434366660.80
61 rdf:rest N5e407065c43f4777a67e4f2419d5046d
62 N783bdb0bcda74c5aa3746901b8f88340 schema:name nlm_unique_id
63 schema:value 101674571
64 rdf:type schema:PropertyValue
65 N8e7319db362b46f89f014cd84797679b rdf:first N39a080c2cf7c43a29201eb0cdaf269fa
66 rdf:rest N77415bf1dff94675bba3a9930938e20f
67 N909b3f8a98d04f24a23cf346688239d6 rdf:first sg:person.0647723014.95
68 rdf:rest rdf:nil
69 Na3c6b66c8dbc49aeb75039047d665678 rdf:first sg:person.0672304137.53
70 rdf:rest N909b3f8a98d04f24a23cf346688239d6
71 Nafed7a8cf9204085bea55f4c17cf5ead schema:name doi
72 schema:value 10.1007/s00261-017-1239-8
73 rdf:type schema:PropertyValue
74 Nb17417e076e1427b8c43d2a58dec2da4 schema:volumeNumber 43
75 rdf:type schema:PublicationVolume
76 Nc6f9cfe0880e4eb6a49fb5f1b86a3d27 rdf:first sg:person.01202764664.04
77 rdf:rest Ndf32ff66c43b4241adda478c047297c7
78 Ncf5e6227ab1c4d94b38d69468afd873f rdf:first sg:person.01011545037.83
79 rdf:rest Na3c6b66c8dbc49aeb75039047d665678
80 Nd08db6dd089a42908948607387fe32f6 schema:name pubmed_id
81 schema:value 28676999
82 rdf:type schema:PropertyValue
83 Ndf32ff66c43b4241adda478c047297c7 rdf:first sg:person.014534173224.00
84 rdf:rest Nf00a3e17677f43a58414bfdd86127755
85 Ne372a0458d2c400087482a95e6a4853a schema:issueNumber 3
86 rdf:type schema:PublicationIssue
87 Nf00a3e17677f43a58414bfdd86127755 rdf:first sg:person.0662301041.59
88 rdf:rest Ncf5e6227ab1c4d94b38d69468afd873f
89 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
90 schema:name Medical and Health Sciences
91 rdf:type schema:DefinedTerm
92 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
93 schema:name Clinical Sciences
94 rdf:type schema:DefinedTerm
95 sg:journal.1297457 schema:issn 2366-004X
96 2366-0058
97 schema:name Abdominal Radiology
98 rdf:type schema:Periodical
99 sg:person.01011545037.83 schema:affiliation https://www.grid.ac/institutes/grid.31501.36
100 schema:familyName Kang
101 schema:givenName Hyo-Jin
102 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01011545037.83
103 rdf:type schema:Person
104 sg:person.01202764664.04 schema:affiliation https://www.grid.ac/institutes/grid.412484.f
105 schema:familyName Lee
106 schema:givenName Jae Young
107 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01202764664.04
108 rdf:type schema:Person
109 sg:person.01266602714.81 schema:affiliation https://www.grid.ac/institutes/grid.412484.f
110 schema:familyName Lee
111 schema:givenName Jeong Min
112 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01266602714.81
113 rdf:type schema:Person
114 sg:person.014534173224.00 schema:affiliation https://www.grid.ac/institutes/grid.412484.f
115 schema:familyName Kim
116 schema:givenName Jung Hoon
117 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014534173224.00
118 rdf:type schema:Person
119 sg:person.016434366660.80 schema:affiliation https://www.grid.ac/institutes/grid.31501.36
120 schema:familyName Kim
121 schema:givenName Se Hyung
122 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016434366660.80
123 rdf:type schema:Person
124 sg:person.0647723014.95 schema:affiliation https://www.grid.ac/institutes/grid.412484.f
125 schema:familyName Han
126 schema:givenName Joon Koo
127 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0647723014.95
128 rdf:type schema:Person
129 sg:person.0662301041.59 schema:affiliation https://www.grid.ac/institutes/grid.31501.36
130 schema:familyName Lee
131 schema:givenName Dong Ho
132 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0662301041.59
133 rdf:type schema:Person
134 sg:person.0672304137.53 schema:affiliation https://www.grid.ac/institutes/grid.412480.b
135 schema:familyName Yoon
136 schema:givenName Chang Jin
137 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0672304137.53
138 rdf:type schema:Person
139 sg:pub.10.1007/s00330-011-2222-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050136929
140 https://doi.org/10.1007/s00330-011-2222-3
141 rdf:type schema:CreativeWork
142 sg:pub.10.1007/s00535-003-1280-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1051483031
143 https://doi.org/10.1007/s00535-003-1280-y
144 rdf:type schema:CreativeWork
145 https://app.dimensions.ai/details/publication/pub.1074998825 schema:CreativeWork
146 https://doi.org/10.1002/cncr.20892 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036412668
147 rdf:type schema:CreativeWork
148 https://doi.org/10.1016/j.jvir.2016.06.027 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015171438
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1016/s0929-8266(01)00171-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052879568
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1055/s-0031-1280658 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057242156
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1148/radiographics.21.suppl_1.g01oc08s41 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005071126
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1148/radiographics.21.suppl_1.g01oc11s17 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074892985
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1148/radiol.13121736 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052576362
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1148/radiol.2262012198 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010008615
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1148/radiology.217.3.r00dc26633 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031823130
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1148/rg.282075038 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002964792
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1177/0284185113513893 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011550201
167 rdf:type schema:CreativeWork
168 https://doi.org/10.2214/ajr.176.1.1760003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069323701
169 rdf:type schema:CreativeWork
170 https://doi.org/10.2214/ajr.181.3.1810695 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069325658
171 rdf:type schema:CreativeWork
172 https://doi.org/10.3348/kjr.2012.13.1.34 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031617839
173 rdf:type schema:CreativeWork
174 https://www.grid.ac/institutes/grid.31501.36 schema:alternateName Seoul National University
175 schema:name Department of Radiology, Seoul National University College of Medicine, Seoul, Korea
176 Department of Radiology, Seoul National University Hospital, 101 Daehangno, Jongno-gu, 03080, Seoul, Korea
177 rdf:type schema:Organization
178 https://www.grid.ac/institutes/grid.412480.b schema:alternateName Seoul National University Bundang Hospital
179 schema:name Department of Radiology, Seoul National University Bundang Hospital, Seongnam, Korea
180 Department of Radiology, Seoul National University College of Medicine, Seoul, Korea
181 Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Korea
182 rdf:type schema:Organization
183 https://www.grid.ac/institutes/grid.412484.f schema:alternateName Seoul National University Hospital
184 schema:name Department of Radiology, Seoul National University College of Medicine, Seoul, Korea
185 Department of Radiology, Seoul National University Hospital, 101 Daehangno, Jongno-gu, 03080, Seoul, Korea
186 Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Korea
187 rdf:type schema:Organization
 




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


...