Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 유홍기 | - |
dc.date.accessioned | 2017-11-06T07:15:42Z | - |
dc.date.available | 2017-11-06T07:15:42Z | - |
dc.date.issued | 2016-01 | - |
dc.identifier.citation | EUROPEAN HEART JOURNAL, v. 37, NO 37, Page. 2833-2844 | en_US |
dc.identifier.issn | 0195-668X | - |
dc.identifier.issn | 1522-9645 | - |
dc.identifier.uri | https://academic.oup.com/eurheartj/article-lookup/doi/10.1093/eurheartj/ehv726 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11754/30484 | - |
dc.description.abstract | Aims Inflammation plays essential role in development of plaque disruption and coronary stent-associated complications. This study aimed to examine whether intracoronary dual-modal optical coherence tomography (OCT)-near-infrared fluorescence (NIRF) structural-molecular imaging with indocyanine green (ICG) can estimate inflammation in swine coronary artery. Methods and results After administration of clinically approved NIRF-enhancing ICG (2.0 mg/kg) or saline, rapid coronary imaging (20 mm/s pullback speed) using a fully integrated OCT-NIRF catheter was safely performed in 12 atheromatous Yucatan minipigs and in 7 drug-eluting stent (DES)-implanted Yorkshire pigs. Stronger NIRF activity was identified in OCT-proven high-risk plaque compared to normal or saline-injected controls (P = 0.0016), which was validated on ex vivo fluorescence reflectance imaging. In vivo plaque target-to-background ratio (pTBR) was much higher in inflamed lipid-rich plaque compared to fibrous plaque (P ˂ 0.0001). In vivo and ex vivo peak pTBRs correlated significantly (P ˂ 0.0022). In vitro cellular ICG uptake and histological validations corroborated the OCT-NIRF findings in vivo. Indocyanine green colocalization with macrophages and lipids of human plaques was confirmed with autopsy atheroma specimens. Two weeks after DES deployment, OCT-NIRF imaging detected strong NIRF signals along stent struts, which was significantly higher than baseline (P = 0.0156). Histologically, NIRF signals in peri-strut tissue co-localized well with macrophages. Conclusion The OCT-NIRF imaging with a clinical dose of ICG was feasible to accurately assess plaque inflammation and DES-related inflammation in a beating coronary artery. This highly translatable dual-modal molecular-structural imaging strategy could be relevant for clinical intracoronary estimation of high-risk plaques and DES biology. | en_US |
dc.description.sponsorship | This research was supported in part by grants from the National Research Foundation of Korea (NRF), the Ministry of Education, Science and Technology (grant number 2015R1A2A2A07027863 to J.W.K., K.S.P., and H.Y.; grant number 2015R1A1A1A05027209 to H.Y.; grant number 2010-0017465 to W.Y.O.) and the Ministry of Health & Welfare of Korea (grant number HI15C0001 to W.Y.O.). | en_US |
dc.language.iso | en | en_US |
dc.publisher | OXFORD UNIV PRESS | en_US |
dc.subject | Atherosclerosis | en_US |
dc.subject | Inflammation | en_US |
dc.subject | Imaging | en_US |
dc.subject | Plaque | en_US |
dc.subject | Stents | en_US |
dc.title | Intracoronary dual-modal optical coherence tomography-near-infrared fluorescence structural-molecular imaging with a clinical dose of indocyanine green for the assessment of high-risk plaques and stent-associated inflammation in a beating coronary artery | en_US |
dc.type | Article | en_US |
dc.relation.no | 37 | - |
dc.relation.volume | 37 | - |
dc.identifier.doi | 10.1093/eurheartj/ehv726 | - |
dc.relation.page | 2833-2844 | - |
dc.relation.journal | EUROPEAN HEART JOURNAL | - |
dc.contributor.googleauthor | Kim, Sunwon | - |
dc.contributor.googleauthor | Lee, Min Woo | - |
dc.contributor.googleauthor | Kim, Tae Shik | - |
dc.contributor.googleauthor | Song, Joon Woo | - |
dc.contributor.googleauthor | Nam, Hyeong Soo | - |
dc.contributor.googleauthor | Cho, Han Saem | - |
dc.contributor.googleauthor | Jang, Sun-Joo | - |
dc.contributor.googleauthor | Ryu, Jiheun | - |
dc.contributor.googleauthor | Oh, Dong Joo | - |
dc.contributor.googleauthor | Yoo, Hongki | - |
dc.relation.code | 2016002153 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | DIVISION OF ELECTRICAL AND BIOMEDICAL ENGINEERING | - |
dc.identifier.pid | hyoo | - |
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