Impact of low tissue backscattering by optical coherence tomography on endothelial function after drug-eluting stent implantation View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-04

AUTHORS

Hiroto Tamaru, Kenichi Fujii, Tsuyoshi Nakata, Masashi Fukunaga, Takahiro Imanaka, Kenji Kawai, Kojiro Miki, Tetsuo Horimatsu, Machiko Nishimura, Ten Saita, Akinori Sumiyoshi, Masahiko Shibuya, Yoshiro Naito, Tohru Masuyama, Masaharu Ishihara

ABSTRACT

This study evaluated the impact of optical coherence tomography (OCT)-derived low-backscattered tissue on mid-term coronary endothelial function after drug-eluting stent (DES) implantation. Although OCT enables detailed in vivo evaluation of neointimal tissue characterization after DES implantation, its association with physiological vascular healing response is unclear. Thirty-three stable angina pectoris patients underwent OCT examination and endothelial function testing with intracoronary infusion of incremental doses of acetylcholine 8-month after DES implantation in a single lesion of the left anterior descending artery. Neointimal tissue was classified into two patterns based on the predominant OCT light backscatter: high backscatter and low backscatter. Although the presence of uncovered or malapposed stent strut was not associated with the degree of vasoconstriction, the degree of vasoconstriction was significantly greater in the DES with low-backscattered neointima than in the DES without low-backscattered neointima (- 32.1 ± 25.7 vs. - 4.1 ± 20.1%, p = 0.003). Moreover, there was an inverse linear relationship between low backscatter tissue index and degree of vasoconstriction after acetylcholine infusion (r = 0.50 and p = 0.003). The endothelium-dependent vasomotor response after 8-month of DES was impaired in patients with low neointimal tissue backscatter on OCT imaging. OCT assessment of low-backscattered tissue may be used as surrogate markers for impairment of endothelial function after DES. More... »

PAGES

164-170

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s12928-018-0540-y

DOI

http://dx.doi.org/10.1007/s12928-018-0540-y

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1105976675

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30073462


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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/s12928-018-0540-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/s12928-018-0540-y'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s12928-018-0540-y'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s12928-018-0540-y'


 

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