Clinical Outcomes of Endovascular Aneurysm Repair with the Kilt Technique for Abdominal Aortic Aneurysms with Hostile Aneurysm Neck Anatomy: A ... View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-04

AUTHORS

Yong Sun Jeon, Young Kwon Cho, Myung Gyu Song, Tae-Seok Seo, Jeong Ho Kim, Soon-Young Song, Sam Yeol Lee

ABSTRACT

PURPOSE: We aimed to evaluate the clinical efficacy and short-term clinical outcomes of Kilt technique-based endovascular aneurysm repair (EVAR) with Seal® stent-grafts for abdominal aortic aneurysms (AAAs) with hostile neck anatomy (angle > 60°). MATERIALS AND METHODS: We retrospectively evaluated the pre-EVAR and follow-up computed tomography angiography findings of 24 patients (mean age 71 ± 11 years; age range 32-87 years; mean follow-up 50 ± 12 months) with hostile neck AAAs treated between 2010 and 2015. Serial change in aneurysmal neck angle was calculated using a standardized protocol. Relationships between clinical variables and outcomes were evaluated using univariate and multivariate Cox analyses and mixed-model regression. In addition, the Kaplan-Meier method was used to assess the cumulative rates of survival, endoleak, and reintervention. RESULTS: The primary technical success rate (success within 24 h after EVAR) was 100% (24/24). The survival rate was 96 ± 8% at 1 month, 6 months, 1 year, and 3 years, and 87 ± 18% at 5 years. Endoleaks occurred in three patients. Four reinterventions were performed in three patients; no surgical revisions were required. Causes of post-EVAR mortality included intracerebral hemorrhage at 14 days and rhabdomyolysis at 32 months. The most remarkable change after Kilt-based EVAR was an acute decrease in the neck angle, which was observed between the pre-EVAR and first follow-up visits (at 1 month) (P = 0.001). CONCLUSION: Kilt-based EVAR with Seal® stent-grafts for AAAs with a severely angulated neck (angle > 60°) provided high technical success, low mortality, and low complication rates during short-term follow-up. More... »

PAGES

554-563

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00270-017-1867-y

DOI

http://dx.doi.org/10.1007/s00270-017-1867-y

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1100077987

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/29279976


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

JSON-LD is the canonical representation for SciGraph data.

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

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1103", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Clinical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adult", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged, 80 and over", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aorta, Abdominal", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aortic Aneurysm, Abdominal", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Blood Vessel Prosthesis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Blood Vessel Prosthesis Implantation", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Computed Tomography Angiography", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Endovascular Procedures", 
        "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": "Korea", 
        "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": "Prosthesis Design", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Retrospective Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Stents", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Survival Analysis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Time Factors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Treatment Outcome", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "name": [
            "Department of Radiology, Inha University Hospital, Inha University College of Medicine, Incheon, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jeon", 
        "givenName": "Yong Sun", 
        "id": "sg:person.01223662157.36", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01223662157.36"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hallym University", 
          "id": "https://www.grid.ac/institutes/grid.256753.0", 
          "name": [
            "Department of Radiology, Kangdong Seong-Sim Hospital, Hallym University College of Medicine, 150 Seongan-ro Gangdong-gu, 134-701, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cho", 
        "givenName": "Young Kwon", 
        "id": "sg:person.0777165145.51", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0777165145.51"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Korea University Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.411134.2", 
          "name": [
            "Department of Radiology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Song", 
        "givenName": "Myung Gyu", 
        "id": "sg:person.01263123060.50", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01263123060.50"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Korea University Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.411134.2", 
          "name": [
            "Department of Radiology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Seo", 
        "givenName": "Tae-Seok", 
        "id": "sg:person.01346333223.27", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01346333223.27"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Gachon University Gil Hospital", 
          "id": "https://www.grid.ac/institutes/grid.411652.5", 
          "name": [
            "Department of Radiology, Gachon University Gil Hospital, Gachon University College of Medicine, Incheon, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kim", 
        "givenName": "Jeong Ho", 
        "id": "sg:person.01077045453.85", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01077045453.85"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Department of Radiology, Hanyang University Hospital, Hanyang University College of Medicine, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Song", 
        "givenName": "Soon-Young", 
        "id": "sg:person.010000174617.32", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010000174617.32"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hallym University", 
          "id": "https://www.grid.ac/institutes/grid.256753.0", 
          "name": [
            "Department of Surgery, Kangdong Seong-Sim Hospital, Hallym University College of Medicine, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lee", 
        "givenName": "Sam Yeol", 
        "id": "sg:person.012170516217.93", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012170516217.93"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.jvs.2016.02.057", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000361537"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1583/08-2531.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001169027"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1583/08-2531.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001169027"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10016-006-9067-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008188379", 
          "https://doi.org/10.1007/s10016-006-9067-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jvs.2015.05.042", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008277990"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00270-006-0011-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008693682", 
          "https://doi.org/10.1007/s00270-006-0011-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00270-006-0011-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008693682", 
          "https://doi.org/10.1007/s00270-006-0011-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ejvs.2007.02.020", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008925351"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1067/mva.2002.119506", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013549924"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jvs.2014.04.017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013827573"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1067/mva.2002.123991", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020178529"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.avsg.2010.09.018", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020220546"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1583/07-2217.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023163026"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1583/07-2217.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023163026"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1067/mva.2002.123763", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028602076"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0967-2109(00)00035-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030985266"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jvs.2009.05.051", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031207373"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jvs.2009.04.061", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031283933"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10016-006-9094-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034750903", 
          "https://doi.org/10.1007/s10016-006-9094-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jvs.2003.09.047", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036453529"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1258/rsmvasc.13.5.261", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037351935"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1258/rsmvasc.13.5.261", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037351935"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1583/10-3170.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038272556"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1583/10-3170.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038272556"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1583/06-1914.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043407103"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1583/06-1914.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043407103"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jvs.2015.03.024", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045202716"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jvs.2014.12.063", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050803177"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/153857440503900105", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064041098"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/153857440503900105", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064041098"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2310/6670.2008.00033", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1070716321"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2310/6670.2008.00033", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1070716321"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1075929295", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077252385", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-04", 
    "datePublishedReg": "2018-04-01", 
    "description": "PURPOSE: We aimed to evaluate the clinical efficacy and short-term clinical outcomes of Kilt technique-based endovascular aneurysm repair (EVAR) with Seal\u00ae stent-grafts for abdominal aortic aneurysms (AAAs) with hostile neck anatomy (angle\u00a0>\u00a060\u00b0).\nMATERIALS AND METHODS: We retrospectively evaluated the pre-EVAR and follow-up computed tomography angiography findings of 24 patients (mean age 71\u00a0\u00b1\u00a011\u00a0years; age range 32-87\u00a0years; mean follow-up 50\u00a0\u00b1\u00a012\u00a0months) with hostile neck AAAs treated between 2010 and 2015. Serial change in aneurysmal neck angle was calculated using a standardized protocol. Relationships between clinical variables and outcomes were evaluated using univariate and multivariate Cox analyses and mixed-model regression. In addition, the Kaplan-Meier method was used to assess the cumulative rates of survival, endoleak, and reintervention.\nRESULTS: The primary technical success rate (success within 24\u00a0h after EVAR) was 100% (24/24). The survival rate was 96\u00a0\u00b1\u00a08% at 1\u00a0month, 6\u00a0months, 1\u00a0year, and 3\u00a0years, and 87\u00a0\u00b1\u00a018% at 5\u00a0years. Endoleaks occurred in three patients. Four reinterventions were performed in three patients; no surgical revisions were required. Causes of post-EVAR mortality included intracerebral hemorrhage at 14\u00a0days and rhabdomyolysis at 32\u00a0months. The most remarkable change after Kilt-based EVAR was an acute decrease in the neck angle, which was observed between the pre-EVAR and first follow-up visits (at 1\u00a0month) (P\u00a0=\u00a00.001).\nCONCLUSION: Kilt-based EVAR with Seal\u00ae stent-grafts for AAAs with a severely angulated neck (angle\u00a0>\u00a060\u00b0) provided high technical success, low mortality, and low complication rates during short-term follow-up.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00270-017-1867-y", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1091062", 
        "issn": [
          "0174-1551", 
          "1432-086X"
        ], 
        "name": "CardioVascular and Interventional Radiology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "4", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "41"
      }
    ], 
    "name": "Clinical Outcomes of Endovascular Aneurysm Repair with the Kilt Technique for Abdominal Aortic Aneurysms with Hostile Aneurysm Neck Anatomy: A Korean Multicenter Retrospective Study", 
    "pagination": "554-563", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "9a56e174d69cc9863a9dba8b39086ac21c51fdc33326875e80cea7c402be221c"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "29279976"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "8003538"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00270-017-1867-y"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1100077987"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00270-017-1867-y", 
      "https://app.dimensions.ai/details/publication/pub.1100077987"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T18:16", 
    "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_8675_00000493.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/s00270-017-1867-y"
  }
]
 

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/s00270-017-1867-y'

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/s00270-017-1867-y'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00270-017-1867-y'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00270-017-1867-y'


 

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

281 TRIPLES      21 PREDICATES      75 URIs      41 LITERALS      29 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00270-017-1867-y schema:about N14bcf6413d684e578699b03a31e8ff23
2 N17e3ea60a0c440f2bd354a3c278146d3
3 N49a70bf27b3b47b1b11cce3243b5d3d2
4 N62fc6da186704bb8b846e2ba8af4fcfd
5 N693bde80bc7f484d9309e34c05283214
6 N6a06f0fd69cf405b9a2b0a2678cd4b64
7 N6d1424c00726431d83c1664f8907382f
8 N7e73229b5d974d2a86f32828b6394691
9 Na2eaae834abe431298e7779017211ec5
10 Na7a2e18552774cd8a6c56cea042c522f
11 Na7f7b34934594ff981a2c706c3c1d4a5
12 Nac97f854d5b548e1a3187a5cef4483f1
13 Nc2337f2577e44688861a7f51edbcc93d
14 Ncdaa26b1fc9f466fbdc613795c89a7af
15 Nd9fc5a35c2194408b2a19cdf9a71cb8b
16 Nddd305ffadce439dadee48d41bc40201
17 Ne37ed0cce4164adc9a22eaa6718e907d
18 Ne6cb510efd10401286700c55670ddd29
19 Ne788b04848c14a349a6373d593bdec39
20 Nea33ea5c92af476a98789f7ccd2775d8
21 anzsrc-for:11
22 anzsrc-for:1103
23 schema:author N2b1fed3e0c1f4ef3b5fe70e35837c56e
24 schema:citation sg:pub.10.1007/s00270-006-0011-1
25 sg:pub.10.1007/s10016-006-9067-2
26 sg:pub.10.1007/s10016-006-9094-z
27 https://app.dimensions.ai/details/publication/pub.1075929295
28 https://app.dimensions.ai/details/publication/pub.1077252385
29 https://doi.org/10.1016/j.avsg.2010.09.018
30 https://doi.org/10.1016/j.ejvs.2007.02.020
31 https://doi.org/10.1016/j.jvs.2003.09.047
32 https://doi.org/10.1016/j.jvs.2009.04.061
33 https://doi.org/10.1016/j.jvs.2009.05.051
34 https://doi.org/10.1016/j.jvs.2014.04.017
35 https://doi.org/10.1016/j.jvs.2014.12.063
36 https://doi.org/10.1016/j.jvs.2015.03.024
37 https://doi.org/10.1016/j.jvs.2015.05.042
38 https://doi.org/10.1016/j.jvs.2016.02.057
39 https://doi.org/10.1016/s0967-2109(00)00035-1
40 https://doi.org/10.1067/mva.2002.119506
41 https://doi.org/10.1067/mva.2002.123763
42 https://doi.org/10.1067/mva.2002.123991
43 https://doi.org/10.1177/153857440503900105
44 https://doi.org/10.1258/rsmvasc.13.5.261
45 https://doi.org/10.1583/06-1914.1
46 https://doi.org/10.1583/07-2217.1
47 https://doi.org/10.1583/08-2531.1
48 https://doi.org/10.1583/10-3170.1
49 https://doi.org/10.2310/6670.2008.00033
50 schema:datePublished 2018-04
51 schema:datePublishedReg 2018-04-01
52 schema:description PURPOSE: We aimed to evaluate the clinical efficacy and short-term clinical outcomes of Kilt technique-based endovascular aneurysm repair (EVAR) with Seal® stent-grafts for abdominal aortic aneurysms (AAAs) with hostile neck anatomy (angle > 60°). MATERIALS AND METHODS: We retrospectively evaluated the pre-EVAR and follow-up computed tomography angiography findings of 24 patients (mean age 71 ± 11 years; age range 32-87 years; mean follow-up 50 ± 12 months) with hostile neck AAAs treated between 2010 and 2015. Serial change in aneurysmal neck angle was calculated using a standardized protocol. Relationships between clinical variables and outcomes were evaluated using univariate and multivariate Cox analyses and mixed-model regression. In addition, the Kaplan-Meier method was used to assess the cumulative rates of survival, endoleak, and reintervention. RESULTS: The primary technical success rate (success within 24 h after EVAR) was 100% (24/24). The survival rate was 96 ± 8% at 1 month, 6 months, 1 year, and 3 years, and 87 ± 18% at 5 years. Endoleaks occurred in three patients. Four reinterventions were performed in three patients; no surgical revisions were required. Causes of post-EVAR mortality included intracerebral hemorrhage at 14 days and rhabdomyolysis at 32 months. The most remarkable change after Kilt-based EVAR was an acute decrease in the neck angle, which was observed between the pre-EVAR and first follow-up visits (at 1 month) (P = 0.001). CONCLUSION: Kilt-based EVAR with Seal® stent-grafts for AAAs with a severely angulated neck (angle > 60°) provided high technical success, low mortality, and low complication rates during short-term follow-up.
53 schema:genre research_article
54 schema:inLanguage en
55 schema:isAccessibleForFree false
56 schema:isPartOf N31cc20efe998410fb7fddc0fd14e6794
57 N3f2990aeff44495699c95c48deccf0f9
58 sg:journal.1091062
59 schema:name Clinical Outcomes of Endovascular Aneurysm Repair with the Kilt Technique for Abdominal Aortic Aneurysms with Hostile Aneurysm Neck Anatomy: A Korean Multicenter Retrospective Study
60 schema:pagination 554-563
61 schema:productId N5686ff23b6414ed5a1317c4af97f14c0
62 N63e8383c57794d78ad49b3ab915f569a
63 N8b97f477786a444a93c7200aea0ba8c8
64 Nb09af3f872be4761827312abda593a6e
65 Nfeadbf83b31543cc8ebe97e1154c55a2
66 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100077987
67 https://doi.org/10.1007/s00270-017-1867-y
68 schema:sdDatePublished 2019-04-10T18:16
69 schema:sdLicense https://scigraph.springernature.com/explorer/license/
70 schema:sdPublisher N4336312d85b040068fbad6febd274d77
71 schema:url http://link.springer.com/10.1007/s00270-017-1867-y
72 sgo:license sg:explorer/license/
73 sgo:sdDataset articles
74 rdf:type schema:ScholarlyArticle
75 N067cf507ee1c47d5b9ccd2ac723ebe1e rdf:first sg:person.01077045453.85
76 rdf:rest N1ae592cb0026445182cca976e9a161c1
77 N14bcf6413d684e578699b03a31e8ff23 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
78 schema:name Aortic Aneurysm, Abdominal
79 rdf:type schema:DefinedTerm
80 N17e3ea60a0c440f2bd354a3c278146d3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
81 schema:name Middle Aged
82 rdf:type schema:DefinedTerm
83 N1ae592cb0026445182cca976e9a161c1 rdf:first sg:person.010000174617.32
84 rdf:rest N6d70c700a8a64eaf951137cf8a9ff7b8
85 N27f4018abe9944cbae2732b903ea8cc3 schema:name Department of Radiology, Hanyang University Hospital, Hanyang University College of Medicine, Seoul, Korea
86 rdf:type schema:Organization
87 N2b1fed3e0c1f4ef3b5fe70e35837c56e rdf:first sg:person.01223662157.36
88 rdf:rest Nf07f70d13f8040c8a1b30455f33c2556
89 N31cc20efe998410fb7fddc0fd14e6794 schema:volumeNumber 41
90 rdf:type schema:PublicationVolume
91 N35290317cc5248e2883ff5cae617fb89 rdf:first sg:person.01263123060.50
92 rdf:rest N80eaa369fd8d4a2ea088563c4ee9deb5
93 N3f2990aeff44495699c95c48deccf0f9 schema:issueNumber 4
94 rdf:type schema:PublicationIssue
95 N4336312d85b040068fbad6febd274d77 schema:name Springer Nature - SN SciGraph project
96 rdf:type schema:Organization
97 N49a70bf27b3b47b1b11cce3243b5d3d2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
98 schema:name Male
99 rdf:type schema:DefinedTerm
100 N5686ff23b6414ed5a1317c4af97f14c0 schema:name pubmed_id
101 schema:value 29279976
102 rdf:type schema:PropertyValue
103 N62fc6da186704bb8b846e2ba8af4fcfd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
104 schema:name Retrospective Studies
105 rdf:type schema:DefinedTerm
106 N63e8383c57794d78ad49b3ab915f569a schema:name dimensions_id
107 schema:value pub.1100077987
108 rdf:type schema:PropertyValue
109 N693bde80bc7f484d9309e34c05283214 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
110 schema:name Stents
111 rdf:type schema:DefinedTerm
112 N6a06f0fd69cf405b9a2b0a2678cd4b64 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
113 schema:name Computed Tomography Angiography
114 rdf:type schema:DefinedTerm
115 N6d1424c00726431d83c1664f8907382f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
116 schema:name Blood Vessel Prosthesis Implantation
117 rdf:type schema:DefinedTerm
118 N6d70c700a8a64eaf951137cf8a9ff7b8 rdf:first sg:person.012170516217.93
119 rdf:rest rdf:nil
120 N7a1843d979be42ba8d6d2e428b833c35 schema:name Department of Radiology, Inha University Hospital, Inha University College of Medicine, Incheon, Korea
121 rdf:type schema:Organization
122 N7e73229b5d974d2a86f32828b6394691 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
123 schema:name Survival Analysis
124 rdf:type schema:DefinedTerm
125 N80eaa369fd8d4a2ea088563c4ee9deb5 rdf:first sg:person.01346333223.27
126 rdf:rest N067cf507ee1c47d5b9ccd2ac723ebe1e
127 N8b97f477786a444a93c7200aea0ba8c8 schema:name nlm_unique_id
128 schema:value 8003538
129 rdf:type schema:PropertyValue
130 Na2eaae834abe431298e7779017211ec5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
131 schema:name Aged
132 rdf:type schema:DefinedTerm
133 Na7a2e18552774cd8a6c56cea042c522f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
134 schema:name Blood Vessel Prosthesis
135 rdf:type schema:DefinedTerm
136 Na7f7b34934594ff981a2c706c3c1d4a5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
137 schema:name Prosthesis Design
138 rdf:type schema:DefinedTerm
139 Nac97f854d5b548e1a3187a5cef4483f1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
140 schema:name Time Factors
141 rdf:type schema:DefinedTerm
142 Nb09af3f872be4761827312abda593a6e schema:name doi
143 schema:value 10.1007/s00270-017-1867-y
144 rdf:type schema:PropertyValue
145 Nc2337f2577e44688861a7f51edbcc93d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
146 schema:name Adult
147 rdf:type schema:DefinedTerm
148 Ncdaa26b1fc9f466fbdc613795c89a7af schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
149 schema:name Endovascular Procedures
150 rdf:type schema:DefinedTerm
151 Nd9fc5a35c2194408b2a19cdf9a71cb8b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
152 schema:name Aorta, Abdominal
153 rdf:type schema:DefinedTerm
154 Nddd305ffadce439dadee48d41bc40201 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
155 schema:name Korea
156 rdf:type schema:DefinedTerm
157 Ne37ed0cce4164adc9a22eaa6718e907d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
158 schema:name Humans
159 rdf:type schema:DefinedTerm
160 Ne6cb510efd10401286700c55670ddd29 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
161 schema:name Aged, 80 and over
162 rdf:type schema:DefinedTerm
163 Ne788b04848c14a349a6373d593bdec39 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
164 schema:name Female
165 rdf:type schema:DefinedTerm
166 Nea33ea5c92af476a98789f7ccd2775d8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
167 schema:name Treatment Outcome
168 rdf:type schema:DefinedTerm
169 Nf07f70d13f8040c8a1b30455f33c2556 rdf:first sg:person.0777165145.51
170 rdf:rest N35290317cc5248e2883ff5cae617fb89
171 Nfeadbf83b31543cc8ebe97e1154c55a2 schema:name readcube_id
172 schema:value 9a56e174d69cc9863a9dba8b39086ac21c51fdc33326875e80cea7c402be221c
173 rdf:type schema:PropertyValue
174 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
175 schema:name Medical and Health Sciences
176 rdf:type schema:DefinedTerm
177 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
178 schema:name Clinical Sciences
179 rdf:type schema:DefinedTerm
180 sg:journal.1091062 schema:issn 0174-1551
181 1432-086X
182 schema:name CardioVascular and Interventional Radiology
183 rdf:type schema:Periodical
184 sg:person.010000174617.32 schema:affiliation N27f4018abe9944cbae2732b903ea8cc3
185 schema:familyName Song
186 schema:givenName Soon-Young
187 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010000174617.32
188 rdf:type schema:Person
189 sg:person.01077045453.85 schema:affiliation https://www.grid.ac/institutes/grid.411652.5
190 schema:familyName Kim
191 schema:givenName Jeong Ho
192 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01077045453.85
193 rdf:type schema:Person
194 sg:person.012170516217.93 schema:affiliation https://www.grid.ac/institutes/grid.256753.0
195 schema:familyName Lee
196 schema:givenName Sam Yeol
197 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012170516217.93
198 rdf:type schema:Person
199 sg:person.01223662157.36 schema:affiliation N7a1843d979be42ba8d6d2e428b833c35
200 schema:familyName Jeon
201 schema:givenName Yong Sun
202 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01223662157.36
203 rdf:type schema:Person
204 sg:person.01263123060.50 schema:affiliation https://www.grid.ac/institutes/grid.411134.2
205 schema:familyName Song
206 schema:givenName Myung Gyu
207 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01263123060.50
208 rdf:type schema:Person
209 sg:person.01346333223.27 schema:affiliation https://www.grid.ac/institutes/grid.411134.2
210 schema:familyName Seo
211 schema:givenName Tae-Seok
212 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01346333223.27
213 rdf:type schema:Person
214 sg:person.0777165145.51 schema:affiliation https://www.grid.ac/institutes/grid.256753.0
215 schema:familyName Cho
216 schema:givenName Young Kwon
217 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0777165145.51
218 rdf:type schema:Person
219 sg:pub.10.1007/s00270-006-0011-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008693682
220 https://doi.org/10.1007/s00270-006-0011-1
221 rdf:type schema:CreativeWork
222 sg:pub.10.1007/s10016-006-9067-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008188379
223 https://doi.org/10.1007/s10016-006-9067-2
224 rdf:type schema:CreativeWork
225 sg:pub.10.1007/s10016-006-9094-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1034750903
226 https://doi.org/10.1007/s10016-006-9094-z
227 rdf:type schema:CreativeWork
228 https://app.dimensions.ai/details/publication/pub.1075929295 schema:CreativeWork
229 https://app.dimensions.ai/details/publication/pub.1077252385 schema:CreativeWork
230 https://doi.org/10.1016/j.avsg.2010.09.018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020220546
231 rdf:type schema:CreativeWork
232 https://doi.org/10.1016/j.ejvs.2007.02.020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008925351
233 rdf:type schema:CreativeWork
234 https://doi.org/10.1016/j.jvs.2003.09.047 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036453529
235 rdf:type schema:CreativeWork
236 https://doi.org/10.1016/j.jvs.2009.04.061 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031283933
237 rdf:type schema:CreativeWork
238 https://doi.org/10.1016/j.jvs.2009.05.051 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031207373
239 rdf:type schema:CreativeWork
240 https://doi.org/10.1016/j.jvs.2014.04.017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013827573
241 rdf:type schema:CreativeWork
242 https://doi.org/10.1016/j.jvs.2014.12.063 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050803177
243 rdf:type schema:CreativeWork
244 https://doi.org/10.1016/j.jvs.2015.03.024 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045202716
245 rdf:type schema:CreativeWork
246 https://doi.org/10.1016/j.jvs.2015.05.042 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008277990
247 rdf:type schema:CreativeWork
248 https://doi.org/10.1016/j.jvs.2016.02.057 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000361537
249 rdf:type schema:CreativeWork
250 https://doi.org/10.1016/s0967-2109(00)00035-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030985266
251 rdf:type schema:CreativeWork
252 https://doi.org/10.1067/mva.2002.119506 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013549924
253 rdf:type schema:CreativeWork
254 https://doi.org/10.1067/mva.2002.123763 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028602076
255 rdf:type schema:CreativeWork
256 https://doi.org/10.1067/mva.2002.123991 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020178529
257 rdf:type schema:CreativeWork
258 https://doi.org/10.1177/153857440503900105 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064041098
259 rdf:type schema:CreativeWork
260 https://doi.org/10.1258/rsmvasc.13.5.261 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037351935
261 rdf:type schema:CreativeWork
262 https://doi.org/10.1583/06-1914.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043407103
263 rdf:type schema:CreativeWork
264 https://doi.org/10.1583/07-2217.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023163026
265 rdf:type schema:CreativeWork
266 https://doi.org/10.1583/08-2531.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001169027
267 rdf:type schema:CreativeWork
268 https://doi.org/10.1583/10-3170.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038272556
269 rdf:type schema:CreativeWork
270 https://doi.org/10.2310/6670.2008.00033 schema:sameAs https://app.dimensions.ai/details/publication/pub.1070716321
271 rdf:type schema:CreativeWork
272 https://www.grid.ac/institutes/grid.256753.0 schema:alternateName Hallym University
273 schema:name Department of Radiology, Kangdong Seong-Sim Hospital, Hallym University College of Medicine, 150 Seongan-ro Gangdong-gu, 134-701, Seoul, Korea
274 Department of Surgery, Kangdong Seong-Sim Hospital, Hallym University College of Medicine, Seoul, Korea
275 rdf:type schema:Organization
276 https://www.grid.ac/institutes/grid.411134.2 schema:alternateName Korea University Medical Center
277 schema:name Department of Radiology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea
278 rdf:type schema:Organization
279 https://www.grid.ac/institutes/grid.411652.5 schema:alternateName Gachon University Gil Hospital
280 schema:name Department of Radiology, Gachon University Gil Hospital, Gachon University College of Medicine, Incheon, Korea
281 rdf:type schema:Organization
 




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


...