Ontology type: schema:ScholarlyArticle
2019-04
AUTHORSMark J. Cartoski, Plamen P. Nikolov, Adityo Prakosa, Patrick M. Boyle, Philip J. Spevak, Natalia A. Trayanova
ABSTRACTChildren with myocarditis have increased risk of ventricular tachycardia (VT) due to myocardial inflammation and remodeling. There is currently no accepted method for VT risk stratification in this population. We hypothesized that personalized models developed from cardiac late gadolinium enhancement magnetic resonance imaging (LGE-MRI) could determine VT risk in patients with myocarditis using a previously-validated protocol. Personalized three-dimensional computational cardiac models were reconstructed from LGE-MRI scans of 12 patients diagnosed with myocarditis. Four patients with clinical VT and eight patients without VT were included in this retrospective analysis. In each model, we incorporated a personalized spatial distribution of fibrosis and myocardial fiber orientations. Then, VT inducibility was assessed in each model by pacing rapidly from 26 sites distributed throughout both ventricles. Sustained reentrant VT was induced from multiple pacing sites in all patients with clinical VT. In the eight patients without clinical VT, we were unable to induce sustained reentry in our simulations using rapid ventricular pacing. Application of our non-invasive approach in children with myocarditis has the potential to correctly identify those at risk for developing VT. More... »
PAGES1-8
http://scigraph.springernature.com/pub.10.1007/s00246-019-02082-7
DOIhttp://dx.doi.org/10.1007/s00246-019-02082-7
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PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/30840104
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]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1112584629"
]
},
{
"name": "nlm_unique_id",
"type": "PropertyValue",
"value": [
"8003849"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"30840104"
]
}
],
"sameAs": [
"https://doi.org/10.1007/s00246-019-02082-7",
"https://app.dimensions.ai/details/publication/pub.1112584629"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-15T08:51",
"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/v90/0000000374_0000000374/records_119732_00000001.jsonl",
"type": "ScholarlyArticle",
"url": "https://link.springer.com/10.1007%2Fs00246-019-02082-7"
}
]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/s00246-019-02082-7'
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/s00246-019-02082-7'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00246-019-02082-7'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00246-019-02082-7'
This table displays all metadata directly associated to this object as RDF triples.
275 TRIPLES
21 PREDICATES
83 URIs
21 LITERALS
9 BLANK NODES