Technical feasibility of semiautomatic three-dimensional threshold-based cardiac computed tomography quantification of left ventricular mass View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-03

AUTHORS

Hyun Woo Goo

ABSTRACT

BACKGROUND: Semiautomatic three-dimensional (3-D) threshold-based cardiac computed tomography (CT) quantification has not been attempted for left ventricular mass. OBJECTIVE: To evaluate the technical feasibility of semiautomatic 3-D threshold-based cardiac CT quantification of left ventricular mass in patients with various degrees of left ventricular hypertrophy. MATERIALS AND METHODS: In 99 patients, cardiac CT was utilized to quantify ventricular volume and mass by using a semiautomatic 3-D threshold-based method. Left ventricular mass values were compared between the end-systole and the end-diastole. Volumetric parameters were compared among three left ventricular hypertrophy groups (definite, borderline, none). The reproducibility was assessed. The t-test, one-way analysis of variance and Pearson correlation were used. RESULTS: There were no technical failures. The left ventricular mass between the two sessions exhibited a small mean difference of 2.3±1.1% (mean±standard deviation). The indexed mass values were significantly higher at the end-systole than at the end-diastole (71.4±42.9 g/m2 vs. 65.9±43.3 g/m2, P<0.001), with significant correlation (R=0.99, P<0.001). The definite group (83.5±41.3 g/m2) showed statistically significantly higher indexed mass values than the borderline and none groups (64.7±26.9 and 55.6±23.9 g/m2, respectively; P<0.03), while demonstrating no statistically significant difference between the latter two groups (P>0.05). Left ventricular volume-mass and mass-volume ratios could be calculated in all three groups. CONCLUSION: CT quantification of left ventricular mass using semiautomatic 3-D threshold-based segmentation is feasible with high reproducibility and the mass values and its ratios with ventricular volumes may be used in patients with various degrees of left ventricular hypertrophy. More... »

PAGES

318-326

References to SciGraph publications

  • 2015-12. Normal values for cardiovascular magnetic resonance in adults and children in JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE
  • 2017-12. Serial changes in anatomy and ventricular function on dual-source cardiac computed tomography after the Norwood procedure for hypoplastic left heart syndrome in PEDIATRIC RADIOLOGY
  • 2013-02. Left ventricle volume measured by cardiac CT in an infant with a small left ventricle: a new and accurate method in determining uni- or biventricular repair in PEDIATRIC RADIOLOGY
  • 2014-12. Ex vivo cardiovascular magnetic resonance measurements of right and left ventricular mass compared with direct mass measurement in excised hearts after transplantation: a first human SSFP comparison in JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE
  • 2011-07. Individualized volume CT dose index determined by cross-sectional area and mean density of the body to achieve uniform image noise of contrast-enhanced pediatric chest CT obtained at variable kV levels and with combined tube current modulation in PEDIATRIC RADIOLOGY
  • 2016-05. Clinical feasibility of a myocardial signal intensity threshold-based semi-automated cardiac magnetic resonance segmentation method in EUROPEAN RADIOLOGY
  • 2015-12. Semiautomatic three-dimensional CT ventricular volumetry in patients with congenital heart disease: agreement between two methods with different user interaction in THE INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING
  • 2018-07. Combined prospectively electrocardiography- and respiratory-triggered sequential cardiac computed tomography in free-breathing children: success rate and image quality in PEDIATRIC RADIOLOGY
  • 2012-12. Left ventricular remodeling and hypertrophy in patients with aortic stenosis: insights from cardiovascular magnetic resonance in JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE
  • 2015-12. A disproportionate contribution of papillary muscles and trabeculations to total left ventricular mass makes choice of cardiovascular magnetic resonance analysis technique critical in Fabry disease in JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE
  • Journal

    TITLE

    Pediatric Radiology

    ISSUE

    3

    VOLUME

    49

    Author Affiliations

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s00247-018-4303-9

    DOI

    http://dx.doi.org/10.1007/s00247-018-4303-9

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1110152650

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/30470863


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

    JSON-LD is the canonical representation for SciGraph data.

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

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1103", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Clinical Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Medical and Health Sciences", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Asan Medical Center", 
              "id": "https://www.grid.ac/institutes/grid.413967.e", 
              "name": [
                "Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, 05505, Seoul, South Korea"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Goo", 
            "givenName": "Hyun Woo", 
            "id": "sg:person.0734225244.44", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0734225244.44"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/s00247-012-2464-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003807984", 
              "https://doi.org/10.1007/s00247-012-2464-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1161/circep.112.974931", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004372695"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1161/circep.112.974931", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004372695"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12968-014-0074-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004678670", 
              "https://doi.org/10.1186/s12968-014-0074-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12968-014-0074-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004678670", 
              "https://doi.org/10.1186/s12968-014-0074-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jcct.2011.08.004", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007823499"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/jch.12808", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010098688"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/jmri.21958", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010673406"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/jmri.21958", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010673406"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jcmg.2012.05.015", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011406901"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00247-011-2121-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011624580", 
              "https://doi.org/10.1007/s00247-011-2121-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1532-429x-14-50", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011813523", 
              "https://doi.org/10.1186/1532-429x-14-50"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12968-015-0111-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015040137", 
              "https://doi.org/10.1186/s12968-015-0111-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12968-015-0111-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015040137", 
              "https://doi.org/10.1186/s12968-015-0111-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ejrad.2011.07.001", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015796836"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jcct.2013.08.001", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016012646"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1161/circimaging.109.859074", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016900641"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1161/circimaging.109.859074", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016900641"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1161/circimaging.109.859074", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016900641"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/eurheartj/ehp084", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021080373"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/jmri.21662", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021081048"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/jmri.21662", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021081048"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1136/bjsports-2013-092360", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024688765"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1161/circimaging.111.966754", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025073180"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1161/circimaging.111.966754", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025073180"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/eurheartj/ehp595", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026108719"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/eurheartj/ehp595", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026108719"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10554-015-0751-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026919869", 
              "https://doi.org/10.1007/s10554-015-0751-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.acra.2008.12.022", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033035264"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/echo.13096", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033359870"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3348/kjr.2012.13.1.1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034698770"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12968-015-0114-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035781319", 
              "https://doi.org/10.1186/s12968-015-0114-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12968-015-0114-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035781319", 
              "https://doi.org/10.1186/s12968-015-0114-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/echo.12303", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037884233"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.amjcard.2012.09.037", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038472605"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/1754-9485.12186", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038974008"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jcmg.2009.09.017", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043807828"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.12659/pjr.895843", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045690999"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3348/kjr.2015.16.1.4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049868077"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00330-015-3952-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053720390", 
              "https://doi.org/10.1007/s00330-015-3952-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/ehjci/jev357", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1059501669"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3348/kjr.2017.18.5.860", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1091086889"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00247-017-3972-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1091498560", 
              "https://doi.org/10.1007/s00247-017-3972-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00247-017-3972-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1091498560", 
              "https://doi.org/10.1007/s00247-017-3972-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3348/kjr.2018.19.1.23", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1100385776"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00247-018-4114-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1101766269", 
              "https://doi.org/10.1007/s00247-018-4114-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00247-018-4114-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1101766269", 
              "https://doi.org/10.1007/s00247-018-4114-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00247-018-4114-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1101766269", 
              "https://doi.org/10.1007/s00247-018-4114-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3348/kjr.2018.19.4.692", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1104693008"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3348/kjr.2018.19.4.692", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1104693008"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3348/kjr.2018.19.4.704", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1104693009"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3348/kjr.2018.19.4.704", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1104693009"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2019-03", 
        "datePublishedReg": "2019-03-01", 
        "description": "BACKGROUND: Semiautomatic three-dimensional (3-D) threshold-based cardiac computed tomography (CT) quantification has not been attempted for left ventricular mass.\nOBJECTIVE: To evaluate the technical feasibility of semiautomatic 3-D threshold-based cardiac CT quantification of left ventricular mass in patients with various degrees of left ventricular hypertrophy.\nMATERIALS AND METHODS: In 99 patients, cardiac CT was utilized to quantify ventricular volume and mass by using a semiautomatic 3-D threshold-based method. Left ventricular mass values were compared between the end-systole and the end-diastole. Volumetric parameters were compared among three left ventricular hypertrophy groups (definite, borderline, none). The reproducibility was assessed. The t-test, one-way analysis of variance and Pearson correlation were used.\nRESULTS: There were no technical failures. The left ventricular mass between the two sessions exhibited a small mean difference of 2.3\u00b11.1% (mean\u00b1standard deviation). The indexed mass values were significantly higher at the end-systole than at the end-diastole (71.4\u00b142.9\u00a0g/m2 vs. 65.9\u00b143.3\u00a0g/m2, P<0.001), with significant correlation (R=0.99, P<0.001). The definite group (83.5\u00b141.3\u00a0g/m2) showed statistically significantly higher indexed mass values than the borderline and none groups (64.7\u00b126.9 and 55.6\u00b123.9\u00a0g/m2, respectively; P<0.03), while demonstrating no statistically significant difference between the latter two groups (P>0.05). Left ventricular volume-mass and mass-volume ratios could be calculated in all three groups.\nCONCLUSION: CT quantification of left ventricular mass using semiautomatic 3-D threshold-based segmentation is feasible with high reproducibility and the mass values and its ratios with ventricular volumes may be used in patients with various degrees of left ventricular hypertrophy.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1007/s00247-018-4303-9", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1016713", 
            "issn": [
              "0301-0449", 
              "1432-1998"
            ], 
            "name": "Pediatric Radiology", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "3", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "49"
          }
        ], 
        "name": "Technical feasibility of semiautomatic three-dimensional threshold-based cardiac computed tomography quantification of left ventricular mass", 
        "pagination": "318-326", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "4d9426c1d83e998c2bf5230ace70ff517af46281f53be011b39f6fb27d086443"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "30470863"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "0365332"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s00247-018-4303-9"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1110152650"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s00247-018-4303-9", 
          "https://app.dimensions.ai/details/publication/pub.1110152650"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T09:32", 
        "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/v90/0000000346_0000000346/records_99809_00000004.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://link.springer.com/10.1007%2Fs00247-018-4303-9"
      }
    ]
     

    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/s00247-018-4303-9'

    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/s00247-018-4303-9'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00247-018-4303-9'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00247-018-4303-9'


     

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

    190 TRIPLES      21 PREDICATES      66 URIs      21 LITERALS      9 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s00247-018-4303-9 schema:about anzsrc-for:11
    2 anzsrc-for:1103
    3 schema:author N70571831bffc4070b5ed3150443e136e
    4 schema:citation sg:pub.10.1007/s00247-011-2121-4
    5 sg:pub.10.1007/s00247-012-2464-5
    6 sg:pub.10.1007/s00247-017-3972-0
    7 sg:pub.10.1007/s00247-018-4114-z
    8 sg:pub.10.1007/s00330-015-3952-4
    9 sg:pub.10.1007/s10554-015-0751-6
    10 sg:pub.10.1186/1532-429x-14-50
    11 sg:pub.10.1186/s12968-014-0074-0
    12 sg:pub.10.1186/s12968-015-0111-7
    13 sg:pub.10.1186/s12968-015-0114-4
    14 https://doi.org/10.1002/jmri.21662
    15 https://doi.org/10.1002/jmri.21958
    16 https://doi.org/10.1016/j.acra.2008.12.022
    17 https://doi.org/10.1016/j.amjcard.2012.09.037
    18 https://doi.org/10.1016/j.ejrad.2011.07.001
    19 https://doi.org/10.1016/j.jcct.2011.08.004
    20 https://doi.org/10.1016/j.jcct.2013.08.001
    21 https://doi.org/10.1016/j.jcmg.2009.09.017
    22 https://doi.org/10.1016/j.jcmg.2012.05.015
    23 https://doi.org/10.1093/ehjci/jev357
    24 https://doi.org/10.1093/eurheartj/ehp084
    25 https://doi.org/10.1093/eurheartj/ehp595
    26 https://doi.org/10.1111/1754-9485.12186
    27 https://doi.org/10.1111/echo.12303
    28 https://doi.org/10.1111/echo.13096
    29 https://doi.org/10.1111/jch.12808
    30 https://doi.org/10.1136/bjsports-2013-092360
    31 https://doi.org/10.1161/circep.112.974931
    32 https://doi.org/10.1161/circimaging.109.859074
    33 https://doi.org/10.1161/circimaging.111.966754
    34 https://doi.org/10.12659/pjr.895843
    35 https://doi.org/10.3348/kjr.2012.13.1.1
    36 https://doi.org/10.3348/kjr.2015.16.1.4
    37 https://doi.org/10.3348/kjr.2017.18.5.860
    38 https://doi.org/10.3348/kjr.2018.19.1.23
    39 https://doi.org/10.3348/kjr.2018.19.4.692
    40 https://doi.org/10.3348/kjr.2018.19.4.704
    41 schema:datePublished 2019-03
    42 schema:datePublishedReg 2019-03-01
    43 schema:description BACKGROUND: Semiautomatic three-dimensional (3-D) threshold-based cardiac computed tomography (CT) quantification has not been attempted for left ventricular mass. OBJECTIVE: To evaluate the technical feasibility of semiautomatic 3-D threshold-based cardiac CT quantification of left ventricular mass in patients with various degrees of left ventricular hypertrophy. MATERIALS AND METHODS: In 99 patients, cardiac CT was utilized to quantify ventricular volume and mass by using a semiautomatic 3-D threshold-based method. Left ventricular mass values were compared between the end-systole and the end-diastole. Volumetric parameters were compared among three left ventricular hypertrophy groups (definite, borderline, none). The reproducibility was assessed. The t-test, one-way analysis of variance and Pearson correlation were used. RESULTS: There were no technical failures. The left ventricular mass between the two sessions exhibited a small mean difference of 2.3±1.1% (mean±standard deviation). The indexed mass values were significantly higher at the end-systole than at the end-diastole (71.4±42.9 g/m2 vs. 65.9±43.3 g/m2, P<0.001), with significant correlation (R=0.99, P<0.001). The definite group (83.5±41.3 g/m2) showed statistically significantly higher indexed mass values than the borderline and none groups (64.7±26.9 and 55.6±23.9 g/m2, respectively; P<0.03), while demonstrating no statistically significant difference between the latter two groups (P>0.05). Left ventricular volume-mass and mass-volume ratios could be calculated in all three groups. CONCLUSION: CT quantification of left ventricular mass using semiautomatic 3-D threshold-based segmentation is feasible with high reproducibility and the mass values and its ratios with ventricular volumes may be used in patients with various degrees of left ventricular hypertrophy.
    44 schema:genre research_article
    45 schema:inLanguage en
    46 schema:isAccessibleForFree false
    47 schema:isPartOf N055260bc6473479b9c35b3653118eb5d
    48 N282faea7bc554da1b225f371296f32e4
    49 sg:journal.1016713
    50 schema:name Technical feasibility of semiautomatic three-dimensional threshold-based cardiac computed tomography quantification of left ventricular mass
    51 schema:pagination 318-326
    52 schema:productId N1b4a87ce2a534df588f0917dd2a15b7f
    53 N300537ac57b343da9412ab920f13f51d
    54 N3f18ae98b1474cb6b475219542e03340
    55 N869aa9f5e8f645c4b1e78116d083fdcf
    56 Nda1a82f184bc44b992d1d64ddc569659
    57 schema:sameAs https://app.dimensions.ai/details/publication/pub.1110152650
    58 https://doi.org/10.1007/s00247-018-4303-9
    59 schema:sdDatePublished 2019-04-11T09:32
    60 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    61 schema:sdPublisher N21e850184a044434bb36acca3973f7c1
    62 schema:url https://link.springer.com/10.1007%2Fs00247-018-4303-9
    63 sgo:license sg:explorer/license/
    64 sgo:sdDataset articles
    65 rdf:type schema:ScholarlyArticle
    66 N055260bc6473479b9c35b3653118eb5d schema:issueNumber 3
    67 rdf:type schema:PublicationIssue
    68 N1b4a87ce2a534df588f0917dd2a15b7f schema:name doi
    69 schema:value 10.1007/s00247-018-4303-9
    70 rdf:type schema:PropertyValue
    71 N21e850184a044434bb36acca3973f7c1 schema:name Springer Nature - SN SciGraph project
    72 rdf:type schema:Organization
    73 N282faea7bc554da1b225f371296f32e4 schema:volumeNumber 49
    74 rdf:type schema:PublicationVolume
    75 N300537ac57b343da9412ab920f13f51d schema:name pubmed_id
    76 schema:value 30470863
    77 rdf:type schema:PropertyValue
    78 N3f18ae98b1474cb6b475219542e03340 schema:name nlm_unique_id
    79 schema:value 0365332
    80 rdf:type schema:PropertyValue
    81 N70571831bffc4070b5ed3150443e136e rdf:first sg:person.0734225244.44
    82 rdf:rest rdf:nil
    83 N869aa9f5e8f645c4b1e78116d083fdcf schema:name dimensions_id
    84 schema:value pub.1110152650
    85 rdf:type schema:PropertyValue
    86 Nda1a82f184bc44b992d1d64ddc569659 schema:name readcube_id
    87 schema:value 4d9426c1d83e998c2bf5230ace70ff517af46281f53be011b39f6fb27d086443
    88 rdf:type schema:PropertyValue
    89 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
    90 schema:name Medical and Health Sciences
    91 rdf:type schema:DefinedTerm
    92 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
    93 schema:name Clinical Sciences
    94 rdf:type schema:DefinedTerm
    95 sg:journal.1016713 schema:issn 0301-0449
    96 1432-1998
    97 schema:name Pediatric Radiology
    98 rdf:type schema:Periodical
    99 sg:person.0734225244.44 schema:affiliation https://www.grid.ac/institutes/grid.413967.e
    100 schema:familyName Goo
    101 schema:givenName Hyun Woo
    102 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0734225244.44
    103 rdf:type schema:Person
    104 sg:pub.10.1007/s00247-011-2121-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011624580
    105 https://doi.org/10.1007/s00247-011-2121-4
    106 rdf:type schema:CreativeWork
    107 sg:pub.10.1007/s00247-012-2464-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003807984
    108 https://doi.org/10.1007/s00247-012-2464-5
    109 rdf:type schema:CreativeWork
    110 sg:pub.10.1007/s00247-017-3972-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091498560
    111 https://doi.org/10.1007/s00247-017-3972-0
    112 rdf:type schema:CreativeWork
    113 sg:pub.10.1007/s00247-018-4114-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1101766269
    114 https://doi.org/10.1007/s00247-018-4114-z
    115 rdf:type schema:CreativeWork
    116 sg:pub.10.1007/s00330-015-3952-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053720390
    117 https://doi.org/10.1007/s00330-015-3952-4
    118 rdf:type schema:CreativeWork
    119 sg:pub.10.1007/s10554-015-0751-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026919869
    120 https://doi.org/10.1007/s10554-015-0751-6
    121 rdf:type schema:CreativeWork
    122 sg:pub.10.1186/1532-429x-14-50 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011813523
    123 https://doi.org/10.1186/1532-429x-14-50
    124 rdf:type schema:CreativeWork
    125 sg:pub.10.1186/s12968-014-0074-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004678670
    126 https://doi.org/10.1186/s12968-014-0074-0
    127 rdf:type schema:CreativeWork
    128 sg:pub.10.1186/s12968-015-0111-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015040137
    129 https://doi.org/10.1186/s12968-015-0111-7
    130 rdf:type schema:CreativeWork
    131 sg:pub.10.1186/s12968-015-0114-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035781319
    132 https://doi.org/10.1186/s12968-015-0114-4
    133 rdf:type schema:CreativeWork
    134 https://doi.org/10.1002/jmri.21662 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021081048
    135 rdf:type schema:CreativeWork
    136 https://doi.org/10.1002/jmri.21958 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010673406
    137 rdf:type schema:CreativeWork
    138 https://doi.org/10.1016/j.acra.2008.12.022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033035264
    139 rdf:type schema:CreativeWork
    140 https://doi.org/10.1016/j.amjcard.2012.09.037 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038472605
    141 rdf:type schema:CreativeWork
    142 https://doi.org/10.1016/j.ejrad.2011.07.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015796836
    143 rdf:type schema:CreativeWork
    144 https://doi.org/10.1016/j.jcct.2011.08.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007823499
    145 rdf:type schema:CreativeWork
    146 https://doi.org/10.1016/j.jcct.2013.08.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016012646
    147 rdf:type schema:CreativeWork
    148 https://doi.org/10.1016/j.jcmg.2009.09.017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043807828
    149 rdf:type schema:CreativeWork
    150 https://doi.org/10.1016/j.jcmg.2012.05.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011406901
    151 rdf:type schema:CreativeWork
    152 https://doi.org/10.1093/ehjci/jev357 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059501669
    153 rdf:type schema:CreativeWork
    154 https://doi.org/10.1093/eurheartj/ehp084 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021080373
    155 rdf:type schema:CreativeWork
    156 https://doi.org/10.1093/eurheartj/ehp595 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026108719
    157 rdf:type schema:CreativeWork
    158 https://doi.org/10.1111/1754-9485.12186 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038974008
    159 rdf:type schema:CreativeWork
    160 https://doi.org/10.1111/echo.12303 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037884233
    161 rdf:type schema:CreativeWork
    162 https://doi.org/10.1111/echo.13096 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033359870
    163 rdf:type schema:CreativeWork
    164 https://doi.org/10.1111/jch.12808 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010098688
    165 rdf:type schema:CreativeWork
    166 https://doi.org/10.1136/bjsports-2013-092360 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024688765
    167 rdf:type schema:CreativeWork
    168 https://doi.org/10.1161/circep.112.974931 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004372695
    169 rdf:type schema:CreativeWork
    170 https://doi.org/10.1161/circimaging.109.859074 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016900641
    171 rdf:type schema:CreativeWork
    172 https://doi.org/10.1161/circimaging.111.966754 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025073180
    173 rdf:type schema:CreativeWork
    174 https://doi.org/10.12659/pjr.895843 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045690999
    175 rdf:type schema:CreativeWork
    176 https://doi.org/10.3348/kjr.2012.13.1.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034698770
    177 rdf:type schema:CreativeWork
    178 https://doi.org/10.3348/kjr.2015.16.1.4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049868077
    179 rdf:type schema:CreativeWork
    180 https://doi.org/10.3348/kjr.2017.18.5.860 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091086889
    181 rdf:type schema:CreativeWork
    182 https://doi.org/10.3348/kjr.2018.19.1.23 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100385776
    183 rdf:type schema:CreativeWork
    184 https://doi.org/10.3348/kjr.2018.19.4.692 schema:sameAs https://app.dimensions.ai/details/publication/pub.1104693008
    185 rdf:type schema:CreativeWork
    186 https://doi.org/10.3348/kjr.2018.19.4.704 schema:sameAs https://app.dimensions.ai/details/publication/pub.1104693009
    187 rdf:type schema:CreativeWork
    188 https://www.grid.ac/institutes/grid.413967.e schema:alternateName Asan Medical Center
    189 schema:name Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, 05505, Seoul, South Korea
    190 rdf:type schema:Organization
     




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


    ...