Ontology type: schema:ScholarlyArticle
2016-12
AUTHORSMartina Chantal de Knegt, A. Fuchs, P. Weeke, R. Møgelvang, C. Hassager, K. F. Kofoed
ABSTRACTCurrent echocardiographic assessments of coronary vascular territories use the 17-segment model and are based on general assumptions of coronary vascular distribution. Fusion of 3D echocardiography (3DE) with multidetector computed tomography (MDCT) derived coronary anatomy may provide a more accurate assessment of left ventricular (LV) territorial function. We aimed to test the feasibility of MDCT and 3DE fusion and to compare territorial longitudinal strain (LS) using the 17-segment model and a MDCT-guided vascular model. 28 patients underwent 320-slice MDCT and transthoracic 3DE on the same day followed by invasive coronary angiography. MDCT (Aquilion ONE, ViSION Edition, Toshiba Medical Systems) and 3DE apical full-volume images (Artida, Toshiba Medical Systems) were fused offline using a dedicated workstation (prototype fusion software, Toshiba Medical Systems). 3DE/MDCT image alignment was assessed by 3 readers using a 4-point scale. Territorial LS was assessed using the 17-segment model and the MDCT-guided vascular model in territories supplied by significantly stenotic and non-significantly stenotic vessels. Successful 3DE/MDCT image alignment was obtained in 86 and 93 % of cases for reader one, and reader two and three, respectively. Fair agreement on the quality of automatic image alignment (intra-class correlation = 0.40) and the success of manual image alignment (Fleiss' Kappa = 0.40) among the readers was found. In territories supplied by non-significantly stenotic left circumflex arteries, LS was significantly higher in the MDCT-guided vascular model compared to the 17-segment model: -15.00 ± 7.17 (mean ± standard deviation) versus -11.87 ± 4.09 (p < 0.05). Fusion of MDCT and 3DE is feasible and provides physiologically meaningful displays of myocardial function. More... »
PAGES1715-1723
http://scigraph.springernature.com/pub.10.1007/s10554-016-0964-3
DOIhttp://dx.doi.org/10.1007/s10554-016-0964-3
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1046385715
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/27539731
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/2008/0801",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Artificial Intelligence and Image Processing",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Information and Computing Sciences",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Aged",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Computed Tomography Angiography",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Coronary Angiography",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Coronary Stenosis",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Coronary Vessels",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Echocardiography, Three-Dimensional",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Feasibility Studies",
"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": "Male",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Middle Aged",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Models, Cardiovascular",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Multidetector Computed Tomography",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Multimodal Imaging",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Observer Variation",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Predictive Value of Tests",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Radiographic Image Interpretation, Computer-Assisted",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Reproducibility of Results",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Ventricular Function, Left",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "University of Copenhagen",
"id": "https://www.grid.ac/institutes/grid.5254.6",
"name": [
"Department of Cardiology 2014, Faculty of Health Sciences, The Heart Center, Rigshospitalet, University of Copenhagen, Blegdamsvej 9, 2100, Copenhagen, Denmark",
"Department of Cardiology, Faculty of Health Sciences, Hvidovre Hospital, University of Copenhagen, Copenhagen, Denmark"
],
"type": "Organization"
},
"familyName": "de Knegt",
"givenName": "Martina Chantal",
"id": "sg:person.01310222510.63",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01310222510.63"
],
"type": "Person"
},
{
"affiliation": {
"name": [
"Department of Cardiology 2014, Faculty of Health Sciences, The Heart Center, Rigshospitalet, University of Copenhagen, Blegdamsvej 9, 2100, Copenhagen, Denmark"
],
"type": "Organization"
},
"familyName": "Fuchs",
"givenName": "A.",
"id": "sg:person.01131014113.96",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01131014113.96"
],
"type": "Person"
},
{
"affiliation": {
"name": [
"Department of Cardiology 2014, Faculty of Health Sciences, The Heart Center, Rigshospitalet, University of Copenhagen, Blegdamsvej 9, 2100, Copenhagen, Denmark"
],
"type": "Organization"
},
"familyName": "Weeke",
"givenName": "P.",
"id": "sg:person.0664233776.78",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0664233776.78"
],
"type": "Person"
},
{
"affiliation": {
"name": [
"Department of Cardiology 2014, Faculty of Health Sciences, The Heart Center, Rigshospitalet, University of Copenhagen, Blegdamsvej 9, 2100, Copenhagen, Denmark"
],
"type": "Organization"
},
"familyName": "M\u00f8gelvang",
"givenName": "R.",
"id": "sg:person.0743425546.98",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0743425546.98"
],
"type": "Person"
},
{
"affiliation": {
"name": [
"Department of Cardiology 2014, Faculty of Health Sciences, The Heart Center, Rigshospitalet, University of Copenhagen, Blegdamsvej 9, 2100, Copenhagen, Denmark"
],
"type": "Organization"
},
"familyName": "Hassager",
"givenName": "C.",
"id": "sg:person.01127134621.49",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01127134621.49"
],
"type": "Person"
},
{
"affiliation": {
"name": [
"Department of Cardiology 2014, Faculty of Health Sciences, The Heart Center, Rigshospitalet, University of Copenhagen, Blegdamsvej 9, 2100, Copenhagen, Denmark",
"Department of Radiology, Faculty of Health Sciences, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark"
],
"type": "Organization"
},
"familyName": "Kofoed",
"givenName": "K. F.",
"id": "sg:person.016452166277.03",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016452166277.03"
],
"type": "Person"
}
],
"citation": [
{
"id": "https://doi.org/10.1016/j.jcmg.2007.12.007",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1003507448"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.jcmg.2008.01.014",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1008345752"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00276-012-0976-1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1008731111",
"https://doi.org/10.1007/s00276-012-0976-1"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/ehjci/jeu213",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1009624885"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nrcardio.2012.14",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1011926490",
"https://doi.org/10.1038/nrcardio.2012.14"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2967/jnumed.109.067488",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1012364075"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1161/circimaging.111.970434",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1012860226"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1161/circimaging.111.970434",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1012860226"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00259-010-1586-y",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1020049784",
"https://doi.org/10.1007/s00259-010-1586-y"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00259-010-1586-y",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1020049784",
"https://doi.org/10.1007/s00259-010-1586-y"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/ehjci/jet119",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1020566999"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.echo.2011.06.002",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1021208920"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1540-8175.2011.01585.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1021426818"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/ehjci/jev093",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1023074257"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1161/circulationaha.104.489310",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1024566737"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.ahj.2009.09.010",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1026442162"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/ehjci/jet236",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1026594243"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.amjcard.2011.03.052",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1029021027"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1253/circj.cj-10-0551",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1038165452"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.echo.2012.10.008",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1039332392"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/eurheartj/ehi496",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1043387741"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/eurheartj/ehi496",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1043387741"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.jcmg.2008.10.007",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1048253774"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/ehjci/jer316",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1051538613"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.echo.2012.02.003",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1052792072"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/ejechocard/jer113",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1059552725"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1152/ajpheart.2001.280.2.h610",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1074751098"
],
"type": "CreativeWork"
},
{
"id": "https://app.dimensions.ai/details/publication/pub.1075091120",
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1152/ajpheart.1991.260.4.h1365",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1078044150"
],
"type": "CreativeWork"
}
],
"datePublished": "2016-12",
"datePublishedReg": "2016-12-01",
"description": "Current echocardiographic assessments of coronary vascular territories use the 17-segment model and are based on general assumptions of coronary vascular distribution. Fusion of 3D echocardiography (3DE) with multidetector computed tomography (MDCT) derived coronary anatomy may provide a more accurate assessment of left ventricular (LV) territorial function. We aimed to test the feasibility of MDCT and 3DE fusion and to compare territorial longitudinal strain (LS) using the 17-segment model and a MDCT-guided vascular model. 28 patients underwent 320-slice MDCT and transthoracic 3DE on the same day followed by invasive coronary angiography. MDCT (Aquilion ONE, ViSION Edition, Toshiba Medical Systems) and 3DE apical full-volume images (Artida, Toshiba Medical Systems) were fused offline using a dedicated workstation (prototype fusion software, Toshiba Medical Systems). 3DE/MDCT image alignment was assessed by 3 readers using a 4-point scale. Territorial LS was assessed using the 17-segment model and the MDCT-guided vascular model in territories supplied by significantly stenotic and non-significantly stenotic vessels. Successful 3DE/MDCT image alignment was obtained in 86 and 93\u2009% of cases for reader one, and reader two and three, respectively. Fair agreement on the quality of automatic image alignment (intra-class correlation\u2009=\u20090.40) and the success of manual image alignment (Fleiss' Kappa\u2009=\u20090.40) among the readers was found. In territories supplied by non-significantly stenotic left circumflex arteries, LS was significantly higher in the MDCT-guided vascular model compared to the 17-segment model: -15.00\u2009\u00b1\u20097.17 (mean\u2009\u00b1\u2009standard deviation) versus -11.87\u2009\u00b1\u20094.09 (p\u2009<\u20090.05). Fusion of MDCT and 3DE is feasible and provides physiologically meaningful displays of myocardial function.",
"genre": "research_article",
"id": "sg:pub.10.1007/s10554-016-0964-3",
"inLanguage": [
"en"
],
"isAccessibleForFree": false,
"isPartOf": [
{
"id": "sg:journal.1025429",
"issn": [
"1569-5794",
"1573-0743"
],
"name": "The International Journal of Cardiovascular Imaging",
"type": "Periodical"
},
{
"issueNumber": "12",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "32"
}
],
"name": "Optimisation of coronary vascular territorial 3D echocardiographic strain imaging using computed tomography: a feasibility study using image fusion",
"pagination": "1715-1723",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"dcf5bc13bf964b08d770f9dcf5a266b920acd63b11164138e5ff78c72b607284"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"27539731"
]
},
{
"name": "nlm_unique_id",
"type": "PropertyValue",
"value": [
"100969716"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/s10554-016-0964-3"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1046385715"
]
}
],
"sameAs": [
"https://doi.org/10.1007/s10554-016-0964-3",
"https://app.dimensions.ai/details/publication/pub.1046385715"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-11T12:43",
"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/v90/0000000363_0000000363/records_70064_00000002.jsonl",
"type": "ScholarlyArticle",
"url": "https://link.springer.com/10.1007%2Fs10554-016-0964-3"
}
]
Download the RDF metadata as: json-ld nt turtle xml License info
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/s10554-016-0964-3'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s10554-016-0964-3'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10554-016-0964-3'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10554-016-0964-3'
This table displays all metadata directly associated to this object as RDF triples.
272 TRIPLES
21 PREDICATES
74 URIs
40 LITERALS
28 BLANK NODES