Aortic knob width reflects left ventricular diastolic function assessed by gated myocardial perfusion single photon emission computed tomography in patients ... View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2017-04

AUTHORS

Satoshi Kurisu, Tadanao Higaki, Yoji Sumimoto, Hiroki Ikenaga, Noriaki Watanabe, Ken Ishibashi, Yoshihiro Dohi, Yukihiro Fukuda, Yasuki Kihara

ABSTRACT

BACKGROUND: Aortic knob width on chest radiography represents the extent of aortic dialation and tortuosity of the aortic arch. We tested the hypothesis that aortic knob width reflected left ventricular (LV) diastolic function assessed by gated myocardial perfusion single photon emission computed tomography (SPECT) in patients with normal myocardial perfusion. METHODS: One hundred and thirty patients with preserved LV ejection fraction and normal myocardial perfusion were enrolled in this study. Aortic knob width was measured along the horizontal line from the point of the lateral edge of the trachea to the left lateral wall of the aortic knob. The peak filling rate (PFR) and the one-third mean filling rate (1/3 MFR) were obtained as LV diastolic parameters. RESULTS: There were 114 male and 16 female patients. Age ranged from 43 to 88 years (69.9 ± 8.9 years). Aortic knob width ranged from 24.2 to 53.4 mm (37.6 ± 5.7 mm). There was a significant correlation between age and aortic knob width (r = 0.34, p < 0.001). Aortic knob width was inversely correlated with both PFR (r = -0.53, p < 0.001) and 1/3 MFR (r = -0.42, p < 0.001). Multivariate linear regression analysis revealed that serum creatinine (β = -0.16, p = 0.045) and aortic knob width (β = -0.45, p < 0.001) were significant predictors of PFR, and that age (β = -0.20, p = 0.02) and aortic knob width (β = -0.33, p < 0.001) were significant predictors of 1/3 MFR. CONCLUSIONS: Our data suggested that aortic knob width on chest radiography was a simple marker of LV diastolic function in patients with normal myocardial perfusion. More... »

PAGES

245-249

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s12149-017-1150-y

DOI

http://dx.doi.org/10.1007/s12149-017-1150-y

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1083830382

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/28205000


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": "Age Factors", 
        "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", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Diastole", 
        "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": "Linear 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": "Myocardial Perfusion Imaging", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Myocardium", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Perfusion", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Radiography, Thoracic", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Reproducibility of Results", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Tomography, Emission-Computed, Single-Photon", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Ventricular Function, Left", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Hiroshima University", 
          "id": "https://www.grid.ac/institutes/grid.257022.0", 
          "name": [
            "Department of Cardiovascular Medicine, Hiroshima University Graduate School of Biomedical and Health Sciences, 1-2-3, Kasumi-cho, Minami-ku, 734-8551, Hiroshima, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kurisu", 
        "givenName": "Satoshi", 
        "id": "sg:person.0645167447.34", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0645167447.34"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hiroshima University", 
          "id": "https://www.grid.ac/institutes/grid.257022.0", 
          "name": [
            "Department of Cardiovascular Medicine, Hiroshima University Graduate School of Biomedical and Health Sciences, 1-2-3, Kasumi-cho, Minami-ku, 734-8551, Hiroshima, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Higaki", 
        "givenName": "Tadanao", 
        "id": "sg:person.0755241136.11", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0755241136.11"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hiroshima University", 
          "id": "https://www.grid.ac/institutes/grid.257022.0", 
          "name": [
            "Department of Cardiovascular Medicine, Hiroshima University Graduate School of Biomedical and Health Sciences, 1-2-3, Kasumi-cho, Minami-ku, 734-8551, Hiroshima, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sumimoto", 
        "givenName": "Yoji", 
        "id": "sg:person.01360521634.51", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01360521634.51"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hiroshima University", 
          "id": "https://www.grid.ac/institutes/grid.257022.0", 
          "name": [
            "Department of Cardiovascular Medicine, Hiroshima University Graduate School of Biomedical and Health Sciences, 1-2-3, Kasumi-cho, Minami-ku, 734-8551, Hiroshima, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ikenaga", 
        "givenName": "Hiroki", 
        "id": "sg:person.01275452674.48", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01275452674.48"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hiroshima University", 
          "id": "https://www.grid.ac/institutes/grid.257022.0", 
          "name": [
            "Department of Cardiovascular Medicine, Hiroshima University Graduate School of Biomedical and Health Sciences, 1-2-3, Kasumi-cho, Minami-ku, 734-8551, Hiroshima, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Watanabe", 
        "givenName": "Noriaki", 
        "id": "sg:person.0775565127.53", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0775565127.53"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hiroshima University", 
          "id": "https://www.grid.ac/institutes/grid.257022.0", 
          "name": [
            "Department of Cardiovascular Medicine, Hiroshima University Graduate School of Biomedical and Health Sciences, 1-2-3, Kasumi-cho, Minami-ku, 734-8551, Hiroshima, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ishibashi", 
        "givenName": "Ken", 
        "id": "sg:person.0626427456.69", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0626427456.69"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hiroshima University", 
          "id": "https://www.grid.ac/institutes/grid.257022.0", 
          "name": [
            "Department of Cardiovascular Medicine, Hiroshima University Graduate School of Biomedical and Health Sciences, 1-2-3, Kasumi-cho, Minami-ku, 734-8551, Hiroshima, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Dohi", 
        "givenName": "Yoshihiro", 
        "id": "sg:person.01346123053.11", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01346123053.11"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hiroshima University", 
          "id": "https://www.grid.ac/institutes/grid.257022.0", 
          "name": [
            "Department of Cardiovascular Medicine, Hiroshima University Graduate School of Biomedical and Health Sciences, 1-2-3, Kasumi-cho, Minami-ku, 734-8551, Hiroshima, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fukuda", 
        "givenName": "Yukihiro", 
        "id": "sg:person.01274355327.09", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01274355327.09"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hiroshima University", 
          "id": "https://www.grid.ac/institutes/grid.257022.0", 
          "name": [
            "Department of Cardiovascular Medicine, Hiroshima University Graduate School of Biomedical and Health Sciences, 1-2-3, Kasumi-cho, Minami-ku, 734-8551, Hiroshima, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kihara", 
        "givenName": "Yasuki", 
        "id": "sg:person.01324703771.35", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01324703771.35"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.3109/10641963.2015.1057834", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012683181"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1253/circj.70.1280", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015945443"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4103/1319-2442.144250", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016042671"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12350-014-9967-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018673500", 
          "https://doi.org/10.1007/s12350-014-9967-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/147323001103900108", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019527409"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/147323001103900108", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019527409"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/mnm.0000000000000433", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020557263"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/mnm.0000000000000433", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020557263"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/mnm.0000000000000433", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020557263"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12149-013-0786-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022245365", 
          "https://doi.org/10.1007/s12149-013-0786-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12149-016-1111-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023136088", 
          "https://doi.org/10.1007/s12149-016-1111-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12149-016-1111-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023136088", 
          "https://doi.org/10.1007/s12149-016-1111-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jacc.2011.06.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024330742"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10741-015-9506-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028230139", 
          "https://doi.org/10.1007/s10741-015-9506-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/hjh.0b013e328333d228", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037107581"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/hjh.0b013e328333d228", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037107581"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/hjh.0b013e328333d228", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037107581"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/mnm.0000000000000369", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038135275"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/mnm.0000000000000369", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038135275"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12149-008-0117-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046447205", 
          "https://doi.org/10.1007/s12149-008-0117-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ejhf.304", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051156604"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.amjhyper.2004.02.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054726006"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5152/akd.2014.5744", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1072631478"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082375161", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2017-04", 
    "datePublishedReg": "2017-04-01", 
    "description": "BACKGROUND: Aortic knob width on chest radiography represents the extent of aortic dialation and tortuosity of the aortic arch. We tested the hypothesis that aortic knob width reflected left ventricular (LV) diastolic function assessed by gated myocardial perfusion single photon emission computed tomography (SPECT) in patients with normal myocardial perfusion.\nMETHODS: One hundred and thirty patients with preserved LV ejection fraction and normal myocardial perfusion were enrolled in this study. Aortic knob width was measured along the horizontal line from the point of the lateral edge of the trachea to the left lateral wall of the aortic knob. The peak filling rate (PFR) and the one-third mean filling rate (1/3 MFR) were obtained as LV diastolic parameters.\nRESULTS: There were 114 male and 16 female patients. Age ranged from 43 to 88 years (69.9\u2009\u00b1\u20098.9 years). Aortic knob width ranged from 24.2 to 53.4\u00a0mm (37.6\u2009\u00b1\u20095.7\u00a0mm). There was a significant correlation between age and aortic knob width (r\u2009=\u20090.34, p\u2009<\u20090.001). Aortic knob width was inversely correlated with both PFR (r\u2009=\u2009-0.53, p\u2009<\u20090.001) and 1/3 MFR (r\u2009=\u2009-0.42, p\u2009<\u20090.001). Multivariate linear regression analysis revealed that serum creatinine (\u03b2\u2009=\u2009-0.16, p\u2009=\u20090.045) and aortic knob width (\u03b2\u2009=\u2009-0.45, p\u2009<\u20090.001) were significant predictors of PFR, and that age (\u03b2\u2009=\u2009-0.20, p\u2009=\u20090.02) and aortic knob width (\u03b2\u2009=\u2009-0.33, p\u2009<\u20090.001) were significant predictors of 1/3 MFR.\nCONCLUSIONS: Our data suggested that aortic knob width on chest radiography was a simple marker of LV diastolic function in patients with normal myocardial perfusion.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s12149-017-1150-y", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.5871531", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1099601", 
        "issn": [
          "0914-7187", 
          "1864-6433"
        ], 
        "name": "Annals of Nuclear Medicine", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "3", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "31"
      }
    ], 
    "name": "Aortic knob width reflects left ventricular diastolic function assessed by gated myocardial perfusion single photon emission computed tomography in patients with normal myocardial perfusion", 
    "pagination": "245-249", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "ebcead5f66ca4f70e37fc0673103f49a17c3e5af112b97472415ee2a61aed670"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "28205000"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "8913398"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s12149-017-1150-y"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1083830382"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s12149-017-1150-y", 
      "https://app.dimensions.ai/details/publication/pub.1083830382"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T10:34", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000349_0000000349/records_113664_00000004.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs12149-017-1150-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/s12149-017-1150-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/s12149-017-1150-y'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s12149-017-1150-y'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s12149-017-1150-y'


 

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

254 TRIPLES      21 PREDICATES      64 URIs      39 LITERALS      27 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s12149-017-1150-y schema:about N11e6e244066c43328236dd40e3eaba65
2 N15c3566076794a99b2af1b6935dea536
3 N1e5f905f46754788a76b864662bdeab1
4 N2679ddf7b304464ab705ad5c059dcf55
5 N2f15ce59933c4e1197e41194078d5979
6 N3a8d5cfac8c643ba91b895961200acbc
7 N428e9e3860e94cb39389967cdba13a97
8 N589974f4b416427f9a3171d6264ca4b2
9 N5a8f2d0e72954f2295aa9713d44662da
10 N62a8cc89a4f943ec8243fd0c9035ef6e
11 N6ebe2527f0924705a99d713995982d03
12 N7db860333f6c4a279e217876ddf8809e
13 N83d4ed1e4dc04a4aba4313946ebd6f4d
14 N8d9c20bebed64c29b9643f305694fdf7
15 N9006db6bff144d129a967f961b7ae4a4
16 Na193d6f445aa4323bb7202b0325085da
17 Nc0810991772d48d1afbc9fddd154c5ac
18 Nf6da6ca7c99f4b01b6eb32e3374915f5
19 anzsrc-for:11
20 anzsrc-for:1103
21 schema:author Nfe4890ef1846499d90ded89910c4797e
22 schema:citation sg:pub.10.1007/s10741-015-9506-7
23 sg:pub.10.1007/s12149-008-0117-4
24 sg:pub.10.1007/s12149-013-0786-5
25 sg:pub.10.1007/s12149-016-1111-x
26 sg:pub.10.1007/s12350-014-9967-4
27 https://app.dimensions.ai/details/publication/pub.1082375161
28 https://doi.org/10.1002/ejhf.304
29 https://doi.org/10.1016/j.amjhyper.2004.02.012
30 https://doi.org/10.1016/j.jacc.2011.06.012
31 https://doi.org/10.1097/hjh.0b013e328333d228
32 https://doi.org/10.1097/mnm.0000000000000369
33 https://doi.org/10.1097/mnm.0000000000000433
34 https://doi.org/10.1177/147323001103900108
35 https://doi.org/10.1253/circj.70.1280
36 https://doi.org/10.3109/10641963.2015.1057834
37 https://doi.org/10.4103/1319-2442.144250
38 https://doi.org/10.5152/akd.2014.5744
39 schema:datePublished 2017-04
40 schema:datePublishedReg 2017-04-01
41 schema:description BACKGROUND: Aortic knob width on chest radiography represents the extent of aortic dialation and tortuosity of the aortic arch. We tested the hypothesis that aortic knob width reflected left ventricular (LV) diastolic function assessed by gated myocardial perfusion single photon emission computed tomography (SPECT) in patients with normal myocardial perfusion. METHODS: One hundred and thirty patients with preserved LV ejection fraction and normal myocardial perfusion were enrolled in this study. Aortic knob width was measured along the horizontal line from the point of the lateral edge of the trachea to the left lateral wall of the aortic knob. The peak filling rate (PFR) and the one-third mean filling rate (1/3 MFR) were obtained as LV diastolic parameters. RESULTS: There were 114 male and 16 female patients. Age ranged from 43 to 88 years (69.9 ± 8.9 years). Aortic knob width ranged from 24.2 to 53.4 mm (37.6 ± 5.7 mm). There was a significant correlation between age and aortic knob width (r = 0.34, p < 0.001). Aortic knob width was inversely correlated with both PFR (r = -0.53, p < 0.001) and 1/3 MFR (r = -0.42, p < 0.001). Multivariate linear regression analysis revealed that serum creatinine (β = -0.16, p = 0.045) and aortic knob width (β = -0.45, p < 0.001) were significant predictors of PFR, and that age (β = -0.20, p = 0.02) and aortic knob width (β = -0.33, p < 0.001) were significant predictors of 1/3 MFR. CONCLUSIONS: Our data suggested that aortic knob width on chest radiography was a simple marker of LV diastolic function in patients with normal myocardial perfusion.
42 schema:genre research_article
43 schema:inLanguage en
44 schema:isAccessibleForFree false
45 schema:isPartOf Nb638c61b62ab429faa5d96977207d940
46 Nc41eb12b872c47abb8c187596792b521
47 sg:journal.1099601
48 schema:name Aortic knob width reflects left ventricular diastolic function assessed by gated myocardial perfusion single photon emission computed tomography in patients with normal myocardial perfusion
49 schema:pagination 245-249
50 schema:productId N1bccfa99274d4a6fb14ef495847b78ce
51 N2c60b0611c1b44079b08731172608070
52 N7b091d9d7f56426a9821a0255a5fdf05
53 Nb88e93749b684ebc81f7c143420c9ebe
54 Nd3e2048f42a04c209099c82395a078da
55 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083830382
56 https://doi.org/10.1007/s12149-017-1150-y
57 schema:sdDatePublished 2019-04-11T10:34
58 schema:sdLicense https://scigraph.springernature.com/explorer/license/
59 schema:sdPublisher N403fc081644d47fda68b97709fe2b7cc
60 schema:url https://link.springer.com/10.1007%2Fs12149-017-1150-y
61 sgo:license sg:explorer/license/
62 sgo:sdDataset articles
63 rdf:type schema:ScholarlyArticle
64 N11e6e244066c43328236dd40e3eaba65 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
65 schema:name Aged
66 rdf:type schema:DefinedTerm
67 N15c3566076794a99b2af1b6935dea536 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
68 schema:name Myocardium
69 rdf:type schema:DefinedTerm
70 N1bccfa99274d4a6fb14ef495847b78ce schema:name pubmed_id
71 schema:value 28205000
72 rdf:type schema:PropertyValue
73 N1e5f905f46754788a76b864662bdeab1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
74 schema:name Linear Models
75 rdf:type schema:DefinedTerm
76 N2679ddf7b304464ab705ad5c059dcf55 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
77 schema:name Myocardial Perfusion Imaging
78 rdf:type schema:DefinedTerm
79 N2c60b0611c1b44079b08731172608070 schema:name nlm_unique_id
80 schema:value 8913398
81 rdf:type schema:PropertyValue
82 N2f15ce59933c4e1197e41194078d5979 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
83 schema:name Aged, 80 and over
84 rdf:type schema:DefinedTerm
85 N311c1fefa50c4339b20787afa7ef5924 rdf:first sg:person.01360521634.51
86 rdf:rest Nc3551ca68c244bd5a2c62e8f1b015a5b
87 N39a4461114504435886375eb95286154 rdf:first sg:person.0755241136.11
88 rdf:rest N311c1fefa50c4339b20787afa7ef5924
89 N3a8d5cfac8c643ba91b895961200acbc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
90 schema:name Reproducibility of Results
91 rdf:type schema:DefinedTerm
92 N403fc081644d47fda68b97709fe2b7cc schema:name Springer Nature - SN SciGraph project
93 rdf:type schema:Organization
94 N428e9e3860e94cb39389967cdba13a97 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
95 schema:name Diastole
96 rdf:type schema:DefinedTerm
97 N589974f4b416427f9a3171d6264ca4b2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
98 schema:name Humans
99 rdf:type schema:DefinedTerm
100 N5a8f2d0e72954f2295aa9713d44662da schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
101 schema:name Radiography, Thoracic
102 rdf:type schema:DefinedTerm
103 N5bb39e34348f4c20ba109b878a7f9e47 rdf:first sg:person.0775565127.53
104 rdf:rest Na7f38609abe442f8a8078e18b2cacd9b
105 N62a8cc89a4f943ec8243fd0c9035ef6e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
106 schema:name Female
107 rdf:type schema:DefinedTerm
108 N6ebe2527f0924705a99d713995982d03 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
109 schema:name Middle Aged
110 rdf:type schema:DefinedTerm
111 N7b091d9d7f56426a9821a0255a5fdf05 schema:name doi
112 schema:value 10.1007/s12149-017-1150-y
113 rdf:type schema:PropertyValue
114 N7db860333f6c4a279e217876ddf8809e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
115 schema:name Male
116 rdf:type schema:DefinedTerm
117 N83d4ed1e4dc04a4aba4313946ebd6f4d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
118 schema:name Adult
119 rdf:type schema:DefinedTerm
120 N87cab72e1e484f21b04b9ee2af5b005d rdf:first sg:person.01274355327.09
121 rdf:rest Nbe0e06a787af4dc8bcd4f94c27cd8302
122 N8d9c20bebed64c29b9643f305694fdf7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
123 schema:name Tomography, Emission-Computed, Single-Photon
124 rdf:type schema:DefinedTerm
125 N9006db6bff144d129a967f961b7ae4a4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
126 schema:name Aorta
127 rdf:type schema:DefinedTerm
128 Na193d6f445aa4323bb7202b0325085da schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
129 schema:name Ventricular Function, Left
130 rdf:type schema:DefinedTerm
131 Na7f38609abe442f8a8078e18b2cacd9b rdf:first sg:person.0626427456.69
132 rdf:rest Nc65c2cae9a8541a081af6e8bc66091d4
133 Nb638c61b62ab429faa5d96977207d940 schema:issueNumber 3
134 rdf:type schema:PublicationIssue
135 Nb88e93749b684ebc81f7c143420c9ebe schema:name readcube_id
136 schema:value ebcead5f66ca4f70e37fc0673103f49a17c3e5af112b97472415ee2a61aed670
137 rdf:type schema:PropertyValue
138 Nbe0e06a787af4dc8bcd4f94c27cd8302 rdf:first sg:person.01324703771.35
139 rdf:rest rdf:nil
140 Nc0810991772d48d1afbc9fddd154c5ac schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
141 schema:name Age Factors
142 rdf:type schema:DefinedTerm
143 Nc3551ca68c244bd5a2c62e8f1b015a5b rdf:first sg:person.01275452674.48
144 rdf:rest N5bb39e34348f4c20ba109b878a7f9e47
145 Nc41eb12b872c47abb8c187596792b521 schema:volumeNumber 31
146 rdf:type schema:PublicationVolume
147 Nc65c2cae9a8541a081af6e8bc66091d4 rdf:first sg:person.01346123053.11
148 rdf:rest N87cab72e1e484f21b04b9ee2af5b005d
149 Nd3e2048f42a04c209099c82395a078da schema:name dimensions_id
150 schema:value pub.1083830382
151 rdf:type schema:PropertyValue
152 Nf6da6ca7c99f4b01b6eb32e3374915f5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
153 schema:name Perfusion
154 rdf:type schema:DefinedTerm
155 Nfe4890ef1846499d90ded89910c4797e rdf:first sg:person.0645167447.34
156 rdf:rest N39a4461114504435886375eb95286154
157 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
158 schema:name Medical and Health Sciences
159 rdf:type schema:DefinedTerm
160 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
161 schema:name Clinical Sciences
162 rdf:type schema:DefinedTerm
163 sg:grant.5871531 http://pending.schema.org/fundedItem sg:pub.10.1007/s12149-017-1150-y
164 rdf:type schema:MonetaryGrant
165 sg:journal.1099601 schema:issn 0914-7187
166 1864-6433
167 schema:name Annals of Nuclear Medicine
168 rdf:type schema:Periodical
169 sg:person.01274355327.09 schema:affiliation https://www.grid.ac/institutes/grid.257022.0
170 schema:familyName Fukuda
171 schema:givenName Yukihiro
172 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01274355327.09
173 rdf:type schema:Person
174 sg:person.01275452674.48 schema:affiliation https://www.grid.ac/institutes/grid.257022.0
175 schema:familyName Ikenaga
176 schema:givenName Hiroki
177 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01275452674.48
178 rdf:type schema:Person
179 sg:person.01324703771.35 schema:affiliation https://www.grid.ac/institutes/grid.257022.0
180 schema:familyName Kihara
181 schema:givenName Yasuki
182 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01324703771.35
183 rdf:type schema:Person
184 sg:person.01346123053.11 schema:affiliation https://www.grid.ac/institutes/grid.257022.0
185 schema:familyName Dohi
186 schema:givenName Yoshihiro
187 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01346123053.11
188 rdf:type schema:Person
189 sg:person.01360521634.51 schema:affiliation https://www.grid.ac/institutes/grid.257022.0
190 schema:familyName Sumimoto
191 schema:givenName Yoji
192 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01360521634.51
193 rdf:type schema:Person
194 sg:person.0626427456.69 schema:affiliation https://www.grid.ac/institutes/grid.257022.0
195 schema:familyName Ishibashi
196 schema:givenName Ken
197 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0626427456.69
198 rdf:type schema:Person
199 sg:person.0645167447.34 schema:affiliation https://www.grid.ac/institutes/grid.257022.0
200 schema:familyName Kurisu
201 schema:givenName Satoshi
202 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0645167447.34
203 rdf:type schema:Person
204 sg:person.0755241136.11 schema:affiliation https://www.grid.ac/institutes/grid.257022.0
205 schema:familyName Higaki
206 schema:givenName Tadanao
207 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0755241136.11
208 rdf:type schema:Person
209 sg:person.0775565127.53 schema:affiliation https://www.grid.ac/institutes/grid.257022.0
210 schema:familyName Watanabe
211 schema:givenName Noriaki
212 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0775565127.53
213 rdf:type schema:Person
214 sg:pub.10.1007/s10741-015-9506-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028230139
215 https://doi.org/10.1007/s10741-015-9506-7
216 rdf:type schema:CreativeWork
217 sg:pub.10.1007/s12149-008-0117-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046447205
218 https://doi.org/10.1007/s12149-008-0117-4
219 rdf:type schema:CreativeWork
220 sg:pub.10.1007/s12149-013-0786-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022245365
221 https://doi.org/10.1007/s12149-013-0786-5
222 rdf:type schema:CreativeWork
223 sg:pub.10.1007/s12149-016-1111-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1023136088
224 https://doi.org/10.1007/s12149-016-1111-x
225 rdf:type schema:CreativeWork
226 sg:pub.10.1007/s12350-014-9967-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018673500
227 https://doi.org/10.1007/s12350-014-9967-4
228 rdf:type schema:CreativeWork
229 https://app.dimensions.ai/details/publication/pub.1082375161 schema:CreativeWork
230 https://doi.org/10.1002/ejhf.304 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051156604
231 rdf:type schema:CreativeWork
232 https://doi.org/10.1016/j.amjhyper.2004.02.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054726006
233 rdf:type schema:CreativeWork
234 https://doi.org/10.1016/j.jacc.2011.06.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024330742
235 rdf:type schema:CreativeWork
236 https://doi.org/10.1097/hjh.0b013e328333d228 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037107581
237 rdf:type schema:CreativeWork
238 https://doi.org/10.1097/mnm.0000000000000369 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038135275
239 rdf:type schema:CreativeWork
240 https://doi.org/10.1097/mnm.0000000000000433 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020557263
241 rdf:type schema:CreativeWork
242 https://doi.org/10.1177/147323001103900108 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019527409
243 rdf:type schema:CreativeWork
244 https://doi.org/10.1253/circj.70.1280 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015945443
245 rdf:type schema:CreativeWork
246 https://doi.org/10.3109/10641963.2015.1057834 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012683181
247 rdf:type schema:CreativeWork
248 https://doi.org/10.4103/1319-2442.144250 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016042671
249 rdf:type schema:CreativeWork
250 https://doi.org/10.5152/akd.2014.5744 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072631478
251 rdf:type schema:CreativeWork
252 https://www.grid.ac/institutes/grid.257022.0 schema:alternateName Hiroshima University
253 schema:name Department of Cardiovascular Medicine, Hiroshima University Graduate School of Biomedical and Health Sciences, 1-2-3, Kasumi-cho, Minami-ku, 734-8551, Hiroshima, Japan
254 rdf:type schema:Organization
 




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


...