Utility of cardiac computed tomography for evaluation of pannus in mechanical aortic valve View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2015-05-21

AUTHORS

Young Joo Suh, Young Jin Kim, Sak Lee, Yoo Jin Hong, Hye-Jeong Lee, Jin Hur, Byoung Wook Choi, Byung-Chul Chang

ABSTRACT

The clinical significance of pannus detected on computed tomography (CT) has not yet been investigated. The purposes of this study were to investigate the clinical significance of pannus detected on cardiac CT in patients who underwent aortic valve replacement (AVR) with mechanical valves, and to determine predictors for pannus severity. A total of 92 patients who underwent cardiac CT and TTE and who had undergone mechanical AVR were included. The geometric orifice area (GOA), the presence of limitation of motion (LOM) and pannus were evaluated on CT. The GOA, presence of LOM, and presence and severity of pannus were compared with echocardiographic parameters. Logistic regression analysis was performed to determine the predictors for pannus severity. The GOA on CT positively correlated with effective orifice area on TTE (r = 0.733, P < 0.0001). Pannus was found in 77.2 % and LOM in 14.0 %. With increasing pannus severity, mean transvalvular pressure gradient (PG) was significantly higher (P < 0.0001). Patients with elevated PG showed a smaller GOA, a higher incidence of pannus, more severe pannus and LOM than patients with normal PG (P < 0.05). Small valve size (≤19 mm), Carbomedics valve, rheumatic etiology, and young age at AVR (<48.8 years) were independent predictors of moderate to severe pannus (P < 0.05). Cardiac CT is helpful in the evaluation of pannus formation in patients with mechanical aortic valves. Moderate to severe pannus formation frequently occurred in patients with small mechanical valve size, Carbomedics valves, rheumatic heart disease and young age at AVR. More... »

PAGES

1271-1280

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10554-015-0683-1

DOI

http://dx.doi.org/10.1007/s10554-015-0683-1

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1046878570

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/25990093


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

JSON-LD is the canonical representation for SciGraph data.

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

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1102", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Cardiorespiratory Medicine and Haematology", 
        "type": "DefinedTerm"
      }, 
      {
        "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"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adult", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Age Factors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aortic Valve", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Chi-Square Distribution", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Heart Valve Diseases", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Heart Valve Prosthesis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Heart Valve Prosthesis Implantation", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Logistic Models", 
        "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": "Multivariate Analysis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Odds Ratio", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Predictive Value of Tests", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prosthesis Design", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prosthesis Failure", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Retrospective Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Risk Factors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Tomography, X-Ray Computed", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Treatment Outcome", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Department of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, 120-752, Seoul, Korea", 
          "id": "http://www.grid.ac/institutes/grid.415562.1", 
          "name": [
            "Department of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, 120-752, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Suh", 
        "givenName": "Young Joo", 
        "id": "sg:person.015766550713.45", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015766550713.45"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, 120-752, Seoul, Korea", 
          "id": "http://www.grid.ac/institutes/grid.415562.1", 
          "name": [
            "Department of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, 120-752, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kim", 
        "givenName": "Young Jin", 
        "id": "sg:person.01143557676.31", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01143557676.31"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Cardiovascular Surgery, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, Korea", 
          "id": "http://www.grid.ac/institutes/grid.415562.1", 
          "name": [
            "Department of Cardiovascular Surgery, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lee", 
        "givenName": "Sak", 
        "id": "sg:person.01242325767.94", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01242325767.94"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, 120-752, Seoul, Korea", 
          "id": "http://www.grid.ac/institutes/grid.415562.1", 
          "name": [
            "Department of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, 120-752, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hong", 
        "givenName": "Yoo Jin", 
        "id": "sg:person.01014245442.81", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01014245442.81"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, 120-752, Seoul, Korea", 
          "id": "http://www.grid.ac/institutes/grid.415562.1", 
          "name": [
            "Department of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, 120-752, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lee", 
        "givenName": "Hye-Jeong", 
        "id": "sg:person.01160231265.97", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01160231265.97"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, 120-752, Seoul, Korea", 
          "id": "http://www.grid.ac/institutes/grid.415562.1", 
          "name": [
            "Department of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, 120-752, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hur", 
        "givenName": "Jin", 
        "id": "sg:person.0631275763.56", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0631275763.56"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, 120-752, Seoul, Korea", 
          "id": "http://www.grid.ac/institutes/grid.415562.1", 
          "name": [
            "Department of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, 120-752, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Choi", 
        "givenName": "Byoung Wook", 
        "id": "sg:person.01101305576.04", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01101305576.04"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Cardiovascular Surgery, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, Korea", 
          "id": "http://www.grid.ac/institutes/grid.415562.1", 
          "name": [
            "Department of Cardiovascular Surgery, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chang", 
        "givenName": "Byung-Chul", 
        "id": "sg:person.01274345102.55", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01274345102.55"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/nrcardio.2011.71", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050051691", 
          "https://doi.org/10.1038/nrcardio.2011.71"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10047-006-0334-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048738021", 
          "https://doi.org/10.1007/s10047-006-0334-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00311926", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050465121", 
          "https://doi.org/10.1007/bf00311926"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10047-003-0226-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015023303", 
          "https://doi.org/10.1007/s10047-003-0226-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11748-012-0124-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033820906", 
          "https://doi.org/10.1007/s11748-012-0124-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-008-1232-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028204967", 
          "https://doi.org/10.1007/s00330-008-1232-2"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2015-05-21", 
    "datePublishedReg": "2015-05-21", 
    "description": "The clinical significance of pannus detected on computed tomography (CT) has not yet been investigated. The purposes of this study were to investigate the clinical significance of pannus detected on cardiac CT in patients who underwent aortic valve replacement (AVR) with mechanical valves, and to determine predictors for pannus severity. A total of 92 patients who underwent cardiac CT and TTE and who had undergone mechanical AVR were included. The geometric orifice area (GOA), the presence of limitation of motion (LOM) and pannus were evaluated on CT. The GOA, presence of LOM, and presence and severity of pannus were compared with echocardiographic parameters. Logistic regression analysis was performed to determine the predictors for pannus severity. The GOA on CT positively correlated with effective orifice area on TTE (r\u00a0=\u00a00.733, P\u00a0<\u00a00.0001). Pannus was found in 77.2\u00a0% and LOM in 14.0\u00a0%. With increasing pannus severity, mean transvalvular pressure gradient (PG) was significantly higher (P\u00a0<\u00a00.0001). Patients with elevated PG showed a smaller GOA, a higher incidence of pannus, more severe pannus and LOM than patients with normal PG (P\u00a0<\u00a00.05). Small valve size (\u226419\u00a0mm), Carbomedics valve, rheumatic etiology, and young age at AVR (<48.8\u00a0years) were independent predictors of moderate to severe pannus (P\u00a0<\u00a00.05). Cardiac CT is helpful in the evaluation of pannus formation in patients with mechanical aortic valves. Moderate to severe pannus formation frequently occurred in patients with small mechanical valve size, Carbomedics valves, rheumatic heart disease and young age at AVR.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s10554-015-0683-1", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1025429", 
        "issn": [
          "1569-5794", 
          "1573-0743"
        ], 
        "name": "The International Journal of Cardiovascular Imaging", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "6", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "31"
      }
    ], 
    "keywords": [
      "aortic valve replacement", 
      "cardiac computed tomography", 
      "mechanical aortic valve", 
      "geometric orifice area", 
      "computed tomography", 
      "pannus formation", 
      "aortic valve", 
      "clinical significance", 
      "valve size", 
      "mechanical aortic valve replacement", 
      "younger age", 
      "orifice area", 
      "rheumatic heart disease", 
      "transvalvular pressure gradient", 
      "smaller valve sizes", 
      "logistic regression analysis", 
      "effective orifice area", 
      "rheumatic etiology", 
      "echocardiographic parameters", 
      "valve replacement", 
      "independent predictors", 
      "elevated pressure gradient", 
      "heart disease", 
      "pannus", 
      "high incidence", 
      "patients", 
      "mechanical valves", 
      "CarboMedics valve", 
      "severity", 
      "regression analysis", 
      "predictors", 
      "presence of limitations", 
      "TTE", 
      "tomography", 
      "age", 
      "valve", 
      "pressure gradient", 
      "etiology", 
      "incidence", 
      "disease", 
      "CarboMedics", 
      "total", 
      "significance", 
      "evaluation", 
      "presence", 
      "normal pressure gradient", 
      "replacement", 
      "study", 
      "utility", 
      "LOM", 
      "area", 
      "purpose", 
      "size", 
      "analysis", 
      "limitations", 
      "formation", 
      "parameters", 
      "motion", 
      "gradient"
    ], 
    "name": "Utility of cardiac computed tomography for evaluation of pannus in mechanical aortic valve", 
    "pagination": "1271-1280", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1046878570"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10554-015-0683-1"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "25990093"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10554-015-0683-1", 
      "https://app.dimensions.ai/details/publication/pub.1046878570"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-10-01T06:41", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20221001/entities/gbq_results/article/article_681.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s10554-015-0683-1"
  }
]
 

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

HOW TO GET THIS DATA PROGRAMMATICALLY:

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

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s10554-015-0683-1'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s10554-015-0683-1'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10554-015-0683-1'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10554-015-0683-1'


 

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

283 TRIPLES      21 PREDICATES      112 URIs      97 LITERALS      28 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10554-015-0683-1 schema:about N076eb09fae31495c813b1d96ad3c44c3
2 N0f74987bc7cf4080a35e03ef57947adf
3 N152dbb7e09da4204b35774c70a0a062b
4 N22c11d2156f9427f80799a58c0738f5c
5 N2c8900cfefa64ffea53f600f1e72ee2f
6 N3bf70938c98944528542448241a2aa06
7 N47cff45e6aa541a285b9c1dfa9fea0c2
8 N499d1e145d8440a78954b9e550b76d6c
9 N5acca2afdda34c0b88c1d019f22a395e
10 N5e075eafb7f749cc83ab1b5ae289c53c
11 N68a1555a7a8e462ba9de343856e53c8c
12 N760b240159ed4135a4c3b02072dc62db
13 N81dd0bfaa4e74e1fbc2c48c3f32f663e
14 Na8508d686e7747788ae15e0c7a58273a
15 Nb26cc8921fca40048ca3b119a6f1f578
16 Ncb185e43fa4c434aaf3357d3a370ce26
17 Nd76df9d399e94f8d8e1160c9257f6dcc
18 Ndf628a6d8ad7441da35baf7d9387dc13
19 Ne3a36d4555574b24a86e00b34842d39e
20 Ne67a8269509a4f97aaec0a174bfa6133
21 Nf8256d031bb349a5b41d046824be4dca
22 anzsrc-for:11
23 anzsrc-for:1102
24 anzsrc-for:1103
25 schema:author N6d830d37d1c14a25bb7a550b51a05344
26 schema:citation sg:pub.10.1007/bf00311926
27 sg:pub.10.1007/s00330-008-1232-2
28 sg:pub.10.1007/s10047-003-0226-8
29 sg:pub.10.1007/s10047-006-0334-3
30 sg:pub.10.1007/s11748-012-0124-1
31 sg:pub.10.1038/nrcardio.2011.71
32 schema:datePublished 2015-05-21
33 schema:datePublishedReg 2015-05-21
34 schema:description The clinical significance of pannus detected on computed tomography (CT) has not yet been investigated. The purposes of this study were to investigate the clinical significance of pannus detected on cardiac CT in patients who underwent aortic valve replacement (AVR) with mechanical valves, and to determine predictors for pannus severity. A total of 92 patients who underwent cardiac CT and TTE and who had undergone mechanical AVR were included. The geometric orifice area (GOA), the presence of limitation of motion (LOM) and pannus were evaluated on CT. The GOA, presence of LOM, and presence and severity of pannus were compared with echocardiographic parameters. Logistic regression analysis was performed to determine the predictors for pannus severity. The GOA on CT positively correlated with effective orifice area on TTE (r = 0.733, P < 0.0001). Pannus was found in 77.2 % and LOM in 14.0 %. With increasing pannus severity, mean transvalvular pressure gradient (PG) was significantly higher (P < 0.0001). Patients with elevated PG showed a smaller GOA, a higher incidence of pannus, more severe pannus and LOM than patients with normal PG (P < 0.05). Small valve size (≤19 mm), Carbomedics valve, rheumatic etiology, and young age at AVR (<48.8 years) were independent predictors of moderate to severe pannus (P < 0.05). Cardiac CT is helpful in the evaluation of pannus formation in patients with mechanical aortic valves. Moderate to severe pannus formation frequently occurred in patients with small mechanical valve size, Carbomedics valves, rheumatic heart disease and young age at AVR.
35 schema:genre article
36 schema:isAccessibleForFree false
37 schema:isPartOf N50c7ccc9cd744beabc4c27ec23595ea3
38 Ne7a6656113864b13a71c83e5b2f2dbfc
39 sg:journal.1025429
40 schema:keywords CarboMedics
41 CarboMedics valve
42 LOM
43 TTE
44 age
45 analysis
46 aortic valve
47 aortic valve replacement
48 area
49 cardiac computed tomography
50 clinical significance
51 computed tomography
52 disease
53 echocardiographic parameters
54 effective orifice area
55 elevated pressure gradient
56 etiology
57 evaluation
58 formation
59 geometric orifice area
60 gradient
61 heart disease
62 high incidence
63 incidence
64 independent predictors
65 limitations
66 logistic regression analysis
67 mechanical aortic valve
68 mechanical aortic valve replacement
69 mechanical valves
70 motion
71 normal pressure gradient
72 orifice area
73 pannus
74 pannus formation
75 parameters
76 patients
77 predictors
78 presence
79 presence of limitations
80 pressure gradient
81 purpose
82 regression analysis
83 replacement
84 rheumatic etiology
85 rheumatic heart disease
86 severity
87 significance
88 size
89 smaller valve sizes
90 study
91 tomography
92 total
93 transvalvular pressure gradient
94 utility
95 valve
96 valve replacement
97 valve size
98 younger age
99 schema:name Utility of cardiac computed tomography for evaluation of pannus in mechanical aortic valve
100 schema:pagination 1271-1280
101 schema:productId N649be8de986d439a9fe4c9e2f313c7fc
102 N7689ef7342a84248ad6fccbdf5cd6946
103 Nae22171559504c01a491637ee7eb89a0
104 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046878570
105 https://doi.org/10.1007/s10554-015-0683-1
106 schema:sdDatePublished 2022-10-01T06:41
107 schema:sdLicense https://scigraph.springernature.com/explorer/license/
108 schema:sdPublisher N28dc86d05d5b4b3db84accd7183365e2
109 schema:url https://doi.org/10.1007/s10554-015-0683-1
110 sgo:license sg:explorer/license/
111 sgo:sdDataset articles
112 rdf:type schema:ScholarlyArticle
113 N014f776ff2d549bfbab97a3eb993fdd8 rdf:first sg:person.01274345102.55
114 rdf:rest rdf:nil
115 N076eb09fae31495c813b1d96ad3c44c3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
116 schema:name Male
117 rdf:type schema:DefinedTerm
118 N0f74987bc7cf4080a35e03ef57947adf schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
119 schema:name Risk Factors
120 rdf:type schema:DefinedTerm
121 N152dbb7e09da4204b35774c70a0a062b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
122 schema:name Aortic Valve
123 rdf:type schema:DefinedTerm
124 N22c11d2156f9427f80799a58c0738f5c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
125 schema:name Odds Ratio
126 rdf:type schema:DefinedTerm
127 N28dc86d05d5b4b3db84accd7183365e2 schema:name Springer Nature - SN SciGraph project
128 rdf:type schema:Organization
129 N2c8900cfefa64ffea53f600f1e72ee2f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
130 schema:name Chi-Square Distribution
131 rdf:type schema:DefinedTerm
132 N3bf70938c98944528542448241a2aa06 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
133 schema:name Heart Valve Diseases
134 rdf:type schema:DefinedTerm
135 N40306f106c70484e814c6079a39a7701 rdf:first sg:person.01143557676.31
136 rdf:rest Nace9b125b1ba48c9a5b3aecabc326ea2
137 N47cff45e6aa541a285b9c1dfa9fea0c2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
138 schema:name Tomography, X-Ray Computed
139 rdf:type schema:DefinedTerm
140 N499d1e145d8440a78954b9e550b76d6c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
141 schema:name Humans
142 rdf:type schema:DefinedTerm
143 N50c7ccc9cd744beabc4c27ec23595ea3 schema:issueNumber 6
144 rdf:type schema:PublicationIssue
145 N5acca2afdda34c0b88c1d019f22a395e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
146 schema:name Prosthesis Design
147 rdf:type schema:DefinedTerm
148 N5e075eafb7f749cc83ab1b5ae289c53c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
149 schema:name Multivariate Analysis
150 rdf:type schema:DefinedTerm
151 N649be8de986d439a9fe4c9e2f313c7fc schema:name dimensions_id
152 schema:value pub.1046878570
153 rdf:type schema:PropertyValue
154 N68a1555a7a8e462ba9de343856e53c8c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
155 schema:name Heart Valve Prosthesis
156 rdf:type schema:DefinedTerm
157 N6d830d37d1c14a25bb7a550b51a05344 rdf:first sg:person.015766550713.45
158 rdf:rest N40306f106c70484e814c6079a39a7701
159 N760b240159ed4135a4c3b02072dc62db schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
160 schema:name Middle Aged
161 rdf:type schema:DefinedTerm
162 N7689ef7342a84248ad6fccbdf5cd6946 schema:name doi
163 schema:value 10.1007/s10554-015-0683-1
164 rdf:type schema:PropertyValue
165 N8022d800f0894066a2b22a1cffd58b26 rdf:first sg:person.0631275763.56
166 rdf:rest Na49d751e73dd4e58ae8cb37380948f62
167 N81dd0bfaa4e74e1fbc2c48c3f32f663e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
168 schema:name Treatment Outcome
169 rdf:type schema:DefinedTerm
170 Na49d751e73dd4e58ae8cb37380948f62 rdf:first sg:person.01101305576.04
171 rdf:rest N014f776ff2d549bfbab97a3eb993fdd8
172 Na8508d686e7747788ae15e0c7a58273a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
173 schema:name Adult
174 rdf:type schema:DefinedTerm
175 Nace9b125b1ba48c9a5b3aecabc326ea2 rdf:first sg:person.01242325767.94
176 rdf:rest Ndf52c8f130eb4d71be4a198d7676e892
177 Nae22171559504c01a491637ee7eb89a0 schema:name pubmed_id
178 schema:value 25990093
179 rdf:type schema:PropertyValue
180 Nb26cc8921fca40048ca3b119a6f1f578 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
181 schema:name Logistic Models
182 rdf:type schema:DefinedTerm
183 Nbb0ad5bbbca849639a517e111842210d rdf:first sg:person.01160231265.97
184 rdf:rest N8022d800f0894066a2b22a1cffd58b26
185 Ncb185e43fa4c434aaf3357d3a370ce26 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
186 schema:name Predictive Value of Tests
187 rdf:type schema:DefinedTerm
188 Nd76df9d399e94f8d8e1160c9257f6dcc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
189 schema:name Prosthesis Failure
190 rdf:type schema:DefinedTerm
191 Ndf52c8f130eb4d71be4a198d7676e892 rdf:first sg:person.01014245442.81
192 rdf:rest Nbb0ad5bbbca849639a517e111842210d
193 Ndf628a6d8ad7441da35baf7d9387dc13 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
194 schema:name Age Factors
195 rdf:type schema:DefinedTerm
196 Ne3a36d4555574b24a86e00b34842d39e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
197 schema:name Heart Valve Prosthesis Implantation
198 rdf:type schema:DefinedTerm
199 Ne67a8269509a4f97aaec0a174bfa6133 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
200 schema:name Retrospective Studies
201 rdf:type schema:DefinedTerm
202 Ne7a6656113864b13a71c83e5b2f2dbfc schema:volumeNumber 31
203 rdf:type schema:PublicationVolume
204 Nf8256d031bb349a5b41d046824be4dca schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
205 schema:name Female
206 rdf:type schema:DefinedTerm
207 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
208 schema:name Medical and Health Sciences
209 rdf:type schema:DefinedTerm
210 anzsrc-for:1102 schema:inDefinedTermSet anzsrc-for:
211 schema:name Cardiorespiratory Medicine and Haematology
212 rdf:type schema:DefinedTerm
213 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
214 schema:name Clinical Sciences
215 rdf:type schema:DefinedTerm
216 sg:journal.1025429 schema:issn 1569-5794
217 1573-0743
218 schema:name The International Journal of Cardiovascular Imaging
219 schema:publisher Springer Nature
220 rdf:type schema:Periodical
221 sg:person.01014245442.81 schema:affiliation grid-institutes:grid.415562.1
222 schema:familyName Hong
223 schema:givenName Yoo Jin
224 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01014245442.81
225 rdf:type schema:Person
226 sg:person.01101305576.04 schema:affiliation grid-institutes:grid.415562.1
227 schema:familyName Choi
228 schema:givenName Byoung Wook
229 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01101305576.04
230 rdf:type schema:Person
231 sg:person.01143557676.31 schema:affiliation grid-institutes:grid.415562.1
232 schema:familyName Kim
233 schema:givenName Young Jin
234 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01143557676.31
235 rdf:type schema:Person
236 sg:person.01160231265.97 schema:affiliation grid-institutes:grid.415562.1
237 schema:familyName Lee
238 schema:givenName Hye-Jeong
239 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01160231265.97
240 rdf:type schema:Person
241 sg:person.01242325767.94 schema:affiliation grid-institutes:grid.415562.1
242 schema:familyName Lee
243 schema:givenName Sak
244 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01242325767.94
245 rdf:type schema:Person
246 sg:person.01274345102.55 schema:affiliation grid-institutes:grid.415562.1
247 schema:familyName Chang
248 schema:givenName Byung-Chul
249 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01274345102.55
250 rdf:type schema:Person
251 sg:person.015766550713.45 schema:affiliation grid-institutes:grid.415562.1
252 schema:familyName Suh
253 schema:givenName Young Joo
254 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015766550713.45
255 rdf:type schema:Person
256 sg:person.0631275763.56 schema:affiliation grid-institutes:grid.415562.1
257 schema:familyName Hur
258 schema:givenName Jin
259 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0631275763.56
260 rdf:type schema:Person
261 sg:pub.10.1007/bf00311926 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050465121
262 https://doi.org/10.1007/bf00311926
263 rdf:type schema:CreativeWork
264 sg:pub.10.1007/s00330-008-1232-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028204967
265 https://doi.org/10.1007/s00330-008-1232-2
266 rdf:type schema:CreativeWork
267 sg:pub.10.1007/s10047-003-0226-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015023303
268 https://doi.org/10.1007/s10047-003-0226-8
269 rdf:type schema:CreativeWork
270 sg:pub.10.1007/s10047-006-0334-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048738021
271 https://doi.org/10.1007/s10047-006-0334-3
272 rdf:type schema:CreativeWork
273 sg:pub.10.1007/s11748-012-0124-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033820906
274 https://doi.org/10.1007/s11748-012-0124-1
275 rdf:type schema:CreativeWork
276 sg:pub.10.1038/nrcardio.2011.71 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050051691
277 https://doi.org/10.1038/nrcardio.2011.71
278 rdf:type schema:CreativeWork
279 grid-institutes:grid.415562.1 schema:alternateName Department of Cardiovascular Surgery, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, Korea
280 Department of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, 120-752, Seoul, Korea
281 schema:name Department of Cardiovascular Surgery, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, Korea
282 Department of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, 120-752, Seoul, Korea
283 rdf:type schema:Organization
 




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


...