Ontology type: schema:ScholarlyArticle
2019-04-11
AUTHORSNobuhiro Murata, Takafumi Hiro, Tadateru Takayama, Suguru Migita, Tomoyuki Morikawa, Takehiro Tamaki, Takashi Mineki, Keisuke Kojima, Naotaka Akutsu, Mitsumasa Sudo, Daisuke Kitano, Daisuke Fukamachi, Atsushi Hirayama, Yasuo Okumura
ABSTRACTLow wall shear stress (WSS) is associated with plaque formation. However, the relationship between WSS and coronary plaque vulnerability remains unclear. Therefore, this study aimed to clarify the in vivo relationship between luminal WSS derived from three-dimensional (3D) computed tomography (CT) and plaque vulnerability within the coronary artery. Forty-three consecutive patients with ischemic heart disease and coronary stenotic lesions were enrolled and underwent coronary angiography and color-coded intravascular ultrasonography (iMap™) followed by multi-slice coronary CT angiography. CT-derived high-risk plaque was defined by specific CT characteristics, including low CT intensity (< 30 HU) and positive remodeling. The Student's t test, Mann-Whitney U test, χ2 test, repeated measures analysis of variance, and logistic and multiple regression were used for statistical analyses. CT-derived high-risk plaque (n = 15) had higher values of maximum and average shear stress than CT-derived stable plaque (474 ± 453 vs. 158 ± 138 Pa, p = 0.018; 4.2 ± 3.1 vs. 1.6 ± 1.2 Pa, p = 0.007, respectively). Compared with patients with CT-derived stable plaque, those with CT-derived high-risk plaque had a higher prevalence of necrotic and lipidic characteristics (44 ± 13 vs. 31 ± 11%, p = 0.001) based on iMap™. Multivariate logistic regression analysis showed that the average WSS and necrotic plus lipidic content were independent determinants of CT-derived high-risk plaque (average WSS: odds ratio 2.996, p = 0.014; necrotic plus lipidic content: odds ratio 1.306, p = 0.036). Our findings suggested that CT-derived high-risk plaque may coexist with high shear stress on the plaque surface. More... »
http://scigraph.springernature.com/pub.10.1007/s00380-019-01389-y
DOIhttp://dx.doi.org/10.1007/s00380-019-01389-y
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1113378519
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/30976923
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"description": "Low wall shear stress (WSS) is associated with plaque formation. However, the relationship between WSS and coronary plaque vulnerability remains unclear. Therefore, this study aimed to clarify the in vivo relationship between luminal WSS derived from three-dimensional (3D) computed tomography (CT) and plaque vulnerability within the coronary artery. Forty-three consecutive patients with ischemic heart disease and coronary stenotic lesions were enrolled and underwent coronary angiography and color-coded intravascular ultrasonography (iMap\u2122) followed by multi-slice coronary CT angiography. CT-derived high-risk plaque was defined by specific CT characteristics, including low CT intensity (<\u200930 HU) and positive remodeling. The Student's t test, Mann-Whitney U test, \u03c72 test, repeated measures analysis of variance, and logistic and multiple regression were used for statistical analyses. CT-derived high-risk plaque (n\u2009=\u200915) had higher values of maximum and average shear stress than CT-derived stable plaque (474\u2009\u00b1\u2009453 vs. 158\u2009\u00b1\u2009138\u00a0Pa, p\u2009=\u20090.018; 4.2\u2009\u00b1\u20093.1 vs. 1.6\u2009\u00b1\u20091.2\u00a0Pa, p\u2009=\u20090.007, respectively). Compared with patients with CT-derived stable plaque, those with CT-derived high-risk plaque had a higher prevalence of necrotic and lipidic characteristics (44\u2009\u00b1\u200913 vs. 31\u2009\u00b1\u200911%, p\u2009=\u20090.001) based on iMap\u2122. Multivariate logistic regression analysis showed that the average WSS and necrotic plus lipidic content were independent determinants of CT-derived high-risk plaque (average WSS: odds ratio 2.996, p\u2009=\u20090.014; necrotic plus lipidic content: odds ratio 1.306, p\u2009=\u20090.036). Our findings suggested that CT-derived high-risk plaque may coexist with high shear stress on the plaque surface.",
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"https://app.dimensions.ai/details/publication/pub.1113378519"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-16T06:24",
"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/v90/0000000377_0000000377/records_106828_00000003.jsonl",
"type": "ScholarlyArticle",
"url": "http://link.springer.com/10.1007/s00380-019-01389-y"
}
]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/s00380-019-01389-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/s00380-019-01389-y'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00380-019-01389-y'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00380-019-01389-y'
This table displays all metadata directly associated to this object as RDF triples.
273 TRIPLES
20 PREDICATES
69 URIs
16 LITERALS
6 BLANK NODES