Preoperative evaluation of hepatic arterial and portal venous anatomy using the time resolved echo-shared MR angiographic technique in living liver ... View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2007-04

AUTHORS

Min Woo Lee, Jeong Min Lee, Jae Young Lee, Se Hyung Kim, Eun-Ah Park, Joon Koo Han, Jin-Young Choi, Young Jun Kim, Kyung-Suk Suh, Byung Ihn Choi

ABSTRACT

The purpose of this study was to determine whether MR angiography utilizing the time resolved echo-shared angiographic technique (TREAT) can provide an effective assessment of the hepatic artery (HA) and portal vein (PV) in living donor candidates. MR angiography (MRA)was performed in 27 patients (23 men and 4 women; mean age, 31 years) by using TREAT. Two blinded radiologists evaluated HA anatomy, origin of segment IV feeding artery and PV anatomy in consensus. Qualitative evaluations of MRA images were performed using the following criteria: (a) overall image quality, (b) presence of artifacts, and (c) degree of venous contamination of the arterial phase. Using intraoperative findings as a standard of reference, the accuracy for the HA anatomy, origin of segment IV feeding artery and PV anatomy on TREAT-MRA were 93% (25/27), 85% (23/27), and 96% (26/27), respectively. Overall image qualities were as follows: excellent (n=22, 81%), good (n=4, 15%), and fair (n=1, 4%). Significant artifacts or venous contamination of the arterial phase images was not noted in any patient. TREAT-MRA can provide a complete evaluation of HA and PV anatomy during preoperative evaluation of living liver donors. Furthermore, it provides a more detailed anatomy of the HA without venous contamination. More... »

PAGES

1074-1080

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00330-006-0447-3

DOI

http://dx.doi.org/10.1007/s00330-006-0447-3

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1051115194

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/17061069


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

JSON-LD is the canonical representation for SciGraph data.

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

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1103", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Clinical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adolescent", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adult", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Contrast Media", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Hepatic Artery", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Hepatic Veins", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Liver", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Liver Transplantation", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Living Donors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Magnetic Resonance Angiography", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Men", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Portal Vein", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Preoperative Care", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Radiography", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Women", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Konkuk University Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.411120.7", 
          "name": [
            "Department of Radiology, and Institute of Radiation Medicine, Seoul National University Hospital, 110-744, Seoul, South Korea", 
            "Department of Radiology, Konkuk University Hospital, Hwayang-dong, 143-729, Gwangjin-gu, Seoul, South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lee", 
        "givenName": "Min Woo", 
        "id": "sg:person.0754321615.33", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0754321615.33"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Seoul National University", 
          "id": "https://www.grid.ac/institutes/grid.31501.36", 
          "name": [
            "Department of Radiology, and Institute of Radiation Medicine, Seoul National University Hospital, 110-744, Seoul, South Korea", 
            "Seoul National University College of Medicine, 28, Yongon-Dong, 110-744, Chongno-GuSeoul, South 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, and Institute of Radiation Medicine, Seoul National University Hospital, 110-744, Seoul, South 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, and Institute of Radiation Medicine, Seoul National University Hospital, 110-744, Seoul, South 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, and Institute of Radiation Medicine, Seoul National University Hospital, 110-744, Seoul, South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Park", 
        "givenName": "Eun-Ah", 
        "id": "sg:person.01207144044.20", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01207144044.20"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Seoul National University Hospital", 
          "id": "https://www.grid.ac/institutes/grid.412484.f", 
          "name": [
            "Department of Radiology, and Institute of Radiation Medicine, Seoul National University Hospital, 110-744, Seoul, South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Han", 
        "givenName": "Joon Koo", 
        "id": "sg:person.0647723014.95", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0647723014.95"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Seoul National University Hospital", 
          "id": "https://www.grid.ac/institutes/grid.412484.f", 
          "name": [
            "Department of Radiology, and Institute of Radiation Medicine, Seoul National University Hospital, 110-744, Seoul, South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Choi", 
        "givenName": "Jin-Young", 
        "id": "sg:person.0702265277.48", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0702265277.48"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Konkuk University Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.411120.7", 
          "name": [
            "Department of Radiology, Konkuk University Hospital, Hwayang-dong, 143-729, Gwangjin-gu, Seoul, South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kim", 
        "givenName": "Young Jun", 
        "id": "sg:person.0724454506.62", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0724454506.62"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Seoul National University Hospital", 
          "id": "https://www.grid.ac/institutes/grid.412484.f", 
          "name": [
            "Department of Surgery, Seoul National University Hospital, Seoul, South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Suh", 
        "givenName": "Kyung-Suk", 
        "id": "sg:person.01166661455.74", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01166661455.74"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Seoul National University Hospital", 
          "id": "https://www.grid.ac/institutes/grid.412484.f", 
          "name": [
            "Department of Radiology, and Institute of Radiation Medicine, Seoul National University Hospital, 110-744, Seoul, South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Choi", 
        "givenName": "Byung Ihn", 
        "id": "sg:person.0716036214.08", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0716036214.08"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1148/radiology.214.1.r00ja12149", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004792360"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/mrm.1910360304", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005483561"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.rli.0000149252.42679.78", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007032975"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.rli.0000149252.42679.78", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007032975"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.rli.0000149252.42679.78", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007032975"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.rli.0000067490.97837.82", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008526004"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-005-2831-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009006877", 
          "https://doi.org/10.1007/s00330-005-2831-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00004424-200308000-00002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011615119"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00004424-200308000-00002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011615119"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00004728-200403000-00001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014913812"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00004728-200403000-00001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014913812"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/mrm.20230", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017355531"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00002142-200106000-00004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018477664"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00002142-200106000-00004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018477664"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.mric.2005.03.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026035908"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.mric.2005.03.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026035908"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/rg.244035186", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031588314"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0002-9610(66)90201-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033486875"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/mrm.10243", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040536195"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.rvi.0000064853.87207.42", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042393054"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2214/ajr.164.1.7998521", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069319054"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2214/ajr.176.6.1761475", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069324043"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1076979269", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2007-04", 
    "datePublishedReg": "2007-04-01", 
    "description": "The purpose of this study was to determine whether MR angiography utilizing the time resolved echo-shared angiographic technique (TREAT) can provide an effective assessment of the hepatic artery (HA) and portal vein (PV) in living donor candidates. MR angiography (MRA)was performed in 27 patients (23 men and 4 women; mean age, 31 years) by using TREAT. Two blinded radiologists evaluated HA anatomy, origin of segment IV feeding artery and PV anatomy in consensus. Qualitative evaluations of MRA images were performed using the following criteria: (a) overall image quality, (b) presence of artifacts, and (c) degree of venous contamination of the arterial phase. Using intraoperative findings as a standard of reference, the accuracy for the HA anatomy, origin of segment IV feeding artery and PV anatomy on TREAT-MRA were 93% (25/27), 85% (23/27), and 96% (26/27), respectively. Overall image qualities were as follows: excellent (n=22, 81%), good (n=4, 15%), and fair (n=1, 4%). Significant artifacts or venous contamination of the arterial phase images was not noted in any patient. TREAT-MRA can provide a complete evaluation of HA and PV anatomy during preoperative evaluation of living liver donors. Furthermore, it provides a more detailed anatomy of the HA without venous contamination.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00330-006-0447-3", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1289120", 
        "issn": [
          "0938-7994", 
          "1432-1084"
        ], 
        "name": "European Radiology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "4", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "17"
      }
    ], 
    "name": "Preoperative evaluation of hepatic arterial and portal venous anatomy using the time resolved echo-shared MR angiographic technique in living liver donors", 
    "pagination": "1074-1080", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "f37e3d6d8ddab5325e588fc93735e488a6bda4a9e467e157ec4e871100b57891"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "17061069"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "9114774"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00330-006-0447-3"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1051115194"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00330-006-0447-3", 
      "https://app.dimensions.ai/details/publication/pub.1051115194"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T14:31", 
    "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/v90/0000000373_0000000373/records_13096_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs00330-006-0447-3"
  }
]
 

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

HOW TO GET THIS DATA PROGRAMMATICALLY:

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

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s00330-006-0447-3'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00330-006-0447-3'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00330-006-0447-3'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00330-006-0447-3'


 

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

260 TRIPLES      21 PREDICATES      63 URIs      38 LITERALS      26 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00330-006-0447-3 schema:about N2b8b85c0978f40999de4243011ead601
2 N2ee98fbe6a70464284ab3fbe5b17f071
3 N4de4190f9d39480494bf549856ba47a6
4 N54f677cb31b14b4f83adff3b7ac6b2a4
5 N56186255069448638cf0945a12507844
6 N5c000b39d66c4592902f43649d5d8984
7 N5ced3a7408434a7cb8e38cb4a2af9a83
8 N64dea973421d4f92b93ca167247fcdb3
9 N7e5ec82a6bf342bba227634a9c5f3e48
10 N816c24069f8c4038abfd6b213fd52e9a
11 N823b95940c2344ac867d4ac8e99fda4b
12 N83cb2b1bccc84ba0a2de147fc121309a
13 N8e746e584f5e4a9888aa50a6aaf47690
14 Nb6f8640405224331bee91c03dcc68fb9
15 Nf453bff617d54c9da5a67b1f18508553
16 Nfa2b33395d40461e8ee87e00cfc7e80a
17 Nfe0d13fa3ffa47bc8c22e374913dd903
18 anzsrc-for:11
19 anzsrc-for:1103
20 schema:author N6775c79a72a748609d0a806e688a1732
21 schema:citation sg:pub.10.1007/s00330-005-2831-9
22 https://app.dimensions.ai/details/publication/pub.1076979269
23 https://doi.org/10.1002/mrm.10243
24 https://doi.org/10.1002/mrm.1910360304
25 https://doi.org/10.1002/mrm.20230
26 https://doi.org/10.1016/0002-9610(66)90201-7
27 https://doi.org/10.1016/j.mric.2005.03.010
28 https://doi.org/10.1097/00002142-200106000-00004
29 https://doi.org/10.1097/00004424-200308000-00002
30 https://doi.org/10.1097/00004728-200403000-00001
31 https://doi.org/10.1097/01.rli.0000067490.97837.82
32 https://doi.org/10.1097/01.rli.0000149252.42679.78
33 https://doi.org/10.1097/01.rvi.0000064853.87207.42
34 https://doi.org/10.1148/radiology.214.1.r00ja12149
35 https://doi.org/10.1148/rg.244035186
36 https://doi.org/10.2214/ajr.164.1.7998521
37 https://doi.org/10.2214/ajr.176.6.1761475
38 schema:datePublished 2007-04
39 schema:datePublishedReg 2007-04-01
40 schema:description The purpose of this study was to determine whether MR angiography utilizing the time resolved echo-shared angiographic technique (TREAT) can provide an effective assessment of the hepatic artery (HA) and portal vein (PV) in living donor candidates. MR angiography (MRA)was performed in 27 patients (23 men and 4 women; mean age, 31 years) by using TREAT. Two blinded radiologists evaluated HA anatomy, origin of segment IV feeding artery and PV anatomy in consensus. Qualitative evaluations of MRA images were performed using the following criteria: (a) overall image quality, (b) presence of artifacts, and (c) degree of venous contamination of the arterial phase. Using intraoperative findings as a standard of reference, the accuracy for the HA anatomy, origin of segment IV feeding artery and PV anatomy on TREAT-MRA were 93% (25/27), 85% (23/27), and 96% (26/27), respectively. Overall image qualities were as follows: excellent (n=22, 81%), good (n=4, 15%), and fair (n=1, 4%). Significant artifacts or venous contamination of the arterial phase images was not noted in any patient. TREAT-MRA can provide a complete evaluation of HA and PV anatomy during preoperative evaluation of living liver donors. Furthermore, it provides a more detailed anatomy of the HA without venous contamination.
41 schema:genre research_article
42 schema:inLanguage en
43 schema:isAccessibleForFree false
44 schema:isPartOf N1182a638d0d6464c93a128a88c66f206
45 Nf5fa7ca7ccff4319ad7e16b64736da7b
46 sg:journal.1289120
47 schema:name Preoperative evaluation of hepatic arterial and portal venous anatomy using the time resolved echo-shared MR angiographic technique in living liver donors
48 schema:pagination 1074-1080
49 schema:productId N024ccd677ecc43bb88882b630b735c48
50 N335c60f0ade847e3bfdfe5073a5b6ed7
51 N65c1221b4b424d75b28b28ed64fbf2a9
52 N9454e01e945b4b97be0fa857a2b7c905
53 N96379db92c3740a794713d034645da65
54 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051115194
55 https://doi.org/10.1007/s00330-006-0447-3
56 schema:sdDatePublished 2019-04-11T14:31
57 schema:sdLicense https://scigraph.springernature.com/explorer/license/
58 schema:sdPublisher N01bf55641c7944f9994ac6cef8b11d95
59 schema:url http://link.springer.com/10.1007%2Fs00330-006-0447-3
60 sgo:license sg:explorer/license/
61 sgo:sdDataset articles
62 rdf:type schema:ScholarlyArticle
63 N01bf55641c7944f9994ac6cef8b11d95 schema:name Springer Nature - SN SciGraph project
64 rdf:type schema:Organization
65 N024ccd677ecc43bb88882b630b735c48 schema:name dimensions_id
66 schema:value pub.1051115194
67 rdf:type schema:PropertyValue
68 N1182a638d0d6464c93a128a88c66f206 schema:volumeNumber 17
69 rdf:type schema:PublicationVolume
70 N223d508def1f47719c0af3e9628c0c79 rdf:first sg:person.0647723014.95
71 rdf:rest Nb6f3afbf59e0421ebab15579ad67b342
72 N2b8b85c0978f40999de4243011ead601 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
73 schema:name Women
74 rdf:type schema:DefinedTerm
75 N2ee98fbe6a70464284ab3fbe5b17f071 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
76 schema:name Portal Vein
77 rdf:type schema:DefinedTerm
78 N335c60f0ade847e3bfdfe5073a5b6ed7 schema:name readcube_id
79 schema:value f37e3d6d8ddab5325e588fc93735e488a6bda4a9e467e157ec4e871100b57891
80 rdf:type schema:PropertyValue
81 N3d12e32e342a447a967320e37d63e228 rdf:first sg:person.01266602714.81
82 rdf:rest Nec5d57d3285b4f36882ea2d39a27509e
83 N4de4190f9d39480494bf549856ba47a6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
84 schema:name Adolescent
85 rdf:type schema:DefinedTerm
86 N54f677cb31b14b4f83adff3b7ac6b2a4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
87 schema:name Preoperative Care
88 rdf:type schema:DefinedTerm
89 N56186255069448638cf0945a12507844 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
90 schema:name Magnetic Resonance Angiography
91 rdf:type schema:DefinedTerm
92 N5ab1860b4e8b4807849587d0e0594e84 rdf:first sg:person.0716036214.08
93 rdf:rest rdf:nil
94 N5c000b39d66c4592902f43649d5d8984 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
95 schema:name Living Donors
96 rdf:type schema:DefinedTerm
97 N5ced3a7408434a7cb8e38cb4a2af9a83 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
98 schema:name Liver Transplantation
99 rdf:type schema:DefinedTerm
100 N64dea973421d4f92b93ca167247fcdb3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
101 schema:name Adult
102 rdf:type schema:DefinedTerm
103 N65c1221b4b424d75b28b28ed64fbf2a9 schema:name doi
104 schema:value 10.1007/s00330-006-0447-3
105 rdf:type schema:PropertyValue
106 N6775c79a72a748609d0a806e688a1732 rdf:first sg:person.0754321615.33
107 rdf:rest N3d12e32e342a447a967320e37d63e228
108 N7e5ec82a6bf342bba227634a9c5f3e48 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
109 schema:name Men
110 rdf:type schema:DefinedTerm
111 N7f36c0f7a38b4222af5cc2de0d94e101 rdf:first sg:person.016434366660.80
112 rdf:rest Nd1cc25ccad464c74a9828a37b62bc5a2
113 N816c24069f8c4038abfd6b213fd52e9a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
114 schema:name Hepatic Artery
115 rdf:type schema:DefinedTerm
116 N823b95940c2344ac867d4ac8e99fda4b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
117 schema:name Contrast Media
118 rdf:type schema:DefinedTerm
119 N83cb2b1bccc84ba0a2de147fc121309a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
120 schema:name Male
121 rdf:type schema:DefinedTerm
122 N8d6bd918738f420bb0b57cf8eff46fb2 rdf:first sg:person.0724454506.62
123 rdf:rest Na19c9a13b9264da294149a6b7e90384d
124 N8e746e584f5e4a9888aa50a6aaf47690 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
125 schema:name Humans
126 rdf:type schema:DefinedTerm
127 N9454e01e945b4b97be0fa857a2b7c905 schema:name nlm_unique_id
128 schema:value 9114774
129 rdf:type schema:PropertyValue
130 N96379db92c3740a794713d034645da65 schema:name pubmed_id
131 schema:value 17061069
132 rdf:type schema:PropertyValue
133 Na19c9a13b9264da294149a6b7e90384d rdf:first sg:person.01166661455.74
134 rdf:rest N5ab1860b4e8b4807849587d0e0594e84
135 Nb6f3afbf59e0421ebab15579ad67b342 rdf:first sg:person.0702265277.48
136 rdf:rest N8d6bd918738f420bb0b57cf8eff46fb2
137 Nb6f8640405224331bee91c03dcc68fb9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
138 schema:name Female
139 rdf:type schema:DefinedTerm
140 Nd1cc25ccad464c74a9828a37b62bc5a2 rdf:first sg:person.01207144044.20
141 rdf:rest N223d508def1f47719c0af3e9628c0c79
142 Nec5d57d3285b4f36882ea2d39a27509e rdf:first sg:person.01202764664.04
143 rdf:rest N7f36c0f7a38b4222af5cc2de0d94e101
144 Nf453bff617d54c9da5a67b1f18508553 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
145 schema:name Radiography
146 rdf:type schema:DefinedTerm
147 Nf5fa7ca7ccff4319ad7e16b64736da7b schema:issueNumber 4
148 rdf:type schema:PublicationIssue
149 Nfa2b33395d40461e8ee87e00cfc7e80a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
150 schema:name Hepatic Veins
151 rdf:type schema:DefinedTerm
152 Nfe0d13fa3ffa47bc8c22e374913dd903 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
153 schema:name Liver
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:1103 schema:inDefinedTermSet anzsrc-for:
159 schema:name Clinical Sciences
160 rdf:type schema:DefinedTerm
161 sg:journal.1289120 schema:issn 0938-7994
162 1432-1084
163 schema:name European Radiology
164 rdf:type schema:Periodical
165 sg:person.01166661455.74 schema:affiliation https://www.grid.ac/institutes/grid.412484.f
166 schema:familyName Suh
167 schema:givenName Kyung-Suk
168 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01166661455.74
169 rdf:type schema:Person
170 sg:person.01202764664.04 schema:affiliation https://www.grid.ac/institutes/grid.412484.f
171 schema:familyName Lee
172 schema:givenName Jae Young
173 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01202764664.04
174 rdf:type schema:Person
175 sg:person.01207144044.20 schema:affiliation https://www.grid.ac/institutes/grid.412484.f
176 schema:familyName Park
177 schema:givenName Eun-Ah
178 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01207144044.20
179 rdf:type schema:Person
180 sg:person.01266602714.81 schema:affiliation https://www.grid.ac/institutes/grid.31501.36
181 schema:familyName Lee
182 schema:givenName Jeong Min
183 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01266602714.81
184 rdf:type schema:Person
185 sg:person.016434366660.80 schema:affiliation https://www.grid.ac/institutes/grid.412484.f
186 schema:familyName Kim
187 schema:givenName Se Hyung
188 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016434366660.80
189 rdf:type schema:Person
190 sg:person.0647723014.95 schema:affiliation https://www.grid.ac/institutes/grid.412484.f
191 schema:familyName Han
192 schema:givenName Joon Koo
193 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0647723014.95
194 rdf:type schema:Person
195 sg:person.0702265277.48 schema:affiliation https://www.grid.ac/institutes/grid.412484.f
196 schema:familyName Choi
197 schema:givenName Jin-Young
198 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0702265277.48
199 rdf:type schema:Person
200 sg:person.0716036214.08 schema:affiliation https://www.grid.ac/institutes/grid.412484.f
201 schema:familyName Choi
202 schema:givenName Byung Ihn
203 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0716036214.08
204 rdf:type schema:Person
205 sg:person.0724454506.62 schema:affiliation https://www.grid.ac/institutes/grid.411120.7
206 schema:familyName Kim
207 schema:givenName Young Jun
208 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0724454506.62
209 rdf:type schema:Person
210 sg:person.0754321615.33 schema:affiliation https://www.grid.ac/institutes/grid.411120.7
211 schema:familyName Lee
212 schema:givenName Min Woo
213 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0754321615.33
214 rdf:type schema:Person
215 sg:pub.10.1007/s00330-005-2831-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009006877
216 https://doi.org/10.1007/s00330-005-2831-9
217 rdf:type schema:CreativeWork
218 https://app.dimensions.ai/details/publication/pub.1076979269 schema:CreativeWork
219 https://doi.org/10.1002/mrm.10243 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040536195
220 rdf:type schema:CreativeWork
221 https://doi.org/10.1002/mrm.1910360304 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005483561
222 rdf:type schema:CreativeWork
223 https://doi.org/10.1002/mrm.20230 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017355531
224 rdf:type schema:CreativeWork
225 https://doi.org/10.1016/0002-9610(66)90201-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033486875
226 rdf:type schema:CreativeWork
227 https://doi.org/10.1016/j.mric.2005.03.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026035908
228 rdf:type schema:CreativeWork
229 https://doi.org/10.1097/00002142-200106000-00004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018477664
230 rdf:type schema:CreativeWork
231 https://doi.org/10.1097/00004424-200308000-00002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011615119
232 rdf:type schema:CreativeWork
233 https://doi.org/10.1097/00004728-200403000-00001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014913812
234 rdf:type schema:CreativeWork
235 https://doi.org/10.1097/01.rli.0000067490.97837.82 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008526004
236 rdf:type schema:CreativeWork
237 https://doi.org/10.1097/01.rli.0000149252.42679.78 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007032975
238 rdf:type schema:CreativeWork
239 https://doi.org/10.1097/01.rvi.0000064853.87207.42 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042393054
240 rdf:type schema:CreativeWork
241 https://doi.org/10.1148/radiology.214.1.r00ja12149 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004792360
242 rdf:type schema:CreativeWork
243 https://doi.org/10.1148/rg.244035186 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031588314
244 rdf:type schema:CreativeWork
245 https://doi.org/10.2214/ajr.164.1.7998521 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069319054
246 rdf:type schema:CreativeWork
247 https://doi.org/10.2214/ajr.176.6.1761475 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069324043
248 rdf:type schema:CreativeWork
249 https://www.grid.ac/institutes/grid.31501.36 schema:alternateName Seoul National University
250 schema:name Department of Radiology, and Institute of Radiation Medicine, Seoul National University Hospital, 110-744, Seoul, South Korea
251 Seoul National University College of Medicine, 28, Yongon-Dong, 110-744, Chongno-GuSeoul, South Korea
252 rdf:type schema:Organization
253 https://www.grid.ac/institutes/grid.411120.7 schema:alternateName Konkuk University Medical Center
254 schema:name Department of Radiology, Konkuk University Hospital, Hwayang-dong, 143-729, Gwangjin-gu, Seoul, South Korea
255 Department of Radiology, and Institute of Radiation Medicine, Seoul National University Hospital, 110-744, Seoul, South Korea
256 rdf:type schema:Organization
257 https://www.grid.ac/institutes/grid.412484.f schema:alternateName Seoul National University Hospital
258 schema:name Department of Radiology, and Institute of Radiation Medicine, Seoul National University Hospital, 110-744, Seoul, South Korea
259 Department of Surgery, Seoul National University Hospital, Seoul, South Korea
260 rdf:type schema:Organization
 




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


...