Comprehensive Assessment of High-Risk Plaques by Dual-Modal Imaging Catheter in Coronary Artery

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dc.contributor.authorKim, Sunwonko
dc.contributor.authorNam, Hyeong Sooko
dc.contributor.authorLee, Min Wooko
dc.contributor.authorKim, Hyun Jungko
dc.contributor.authorKang, Woo Jaeko
dc.contributor.authorSong, Joon Wooko
dc.contributor.authorHan, Jeongmooko
dc.contributor.authorKang, Dong Ohko
dc.contributor.authorOh, Wang-Yuhlko
dc.contributor.authorYoo, Hongkiko
dc.contributor.authorKim, Jin Wonko
dc.date.accessioned2022-01-11T06:42:03Z-
dc.date.available2022-01-11T06:42:03Z-
dc.date.created2022-01-10-
dc.date.created2022-01-10-
dc.date.issued2021-12-
dc.identifier.citationJACC-BASIC TO TRANSLATIONAL SCIENCE, v.6, no.12, pp.948 - 960-
dc.identifier.issn2452-302X-
dc.identifier.urihttp://hdl.handle.net/10203/291726-
dc.description.abstractCoronary plaque destabilization involves alterations in microstructure and biochemical composition; however, no imaging approach allows such comprehensive characterization. Herein, the authors demonstrated a simultaneous microstructural and biochemical assessment of high-risk plaques in the coronary arteries in a beating heart using a fully integrated optical coherence tomography and fluorescence lifetime imaging (FLIm). It was found that plaque components such as lipids, macrophages, lipids+macrophages, and fibrotic tissues had unique fluorescence lifetime signatures that were distinguishable using multispectral FLIm. Because FLIm yielded massive biochemical readouts, the authors incorporated machine learning framework into FLIm, and ultimately, their approach enabled an automated, quantitative imaging of multiple key components relevant for plaque destabilization. (C) 2021 The Authors. Published by Elsevier on behalf of the American College of Cardiology Foundation.-
dc.languageEnglish-
dc.publisherELSEVIER SCIENCE INC-
dc.titleComprehensive Assessment of High-Risk Plaques by Dual-Modal Imaging Catheter in Coronary Artery-
dc.typeArticle-
dc.identifier.wosid000734685200003-
dc.identifier.scopusid2-s2.0-85121458372-
dc.type.rimsART-
dc.citation.volume6-
dc.citation.issue12-
dc.citation.beginningpage948-
dc.citation.endingpage960-
dc.citation.publicationnameJACC-BASIC TO TRANSLATIONAL SCIENCE-
dc.identifier.doi10.1016/j.jacbts.2021.10.005-
dc.contributor.localauthorOh, Wang-Yuhl-
dc.contributor.localauthorYoo, Hongki-
dc.contributor.nonIdAuthorKim, Sunwon-
dc.contributor.nonIdAuthorNam, Hyeong Soo-
dc.contributor.nonIdAuthorLee, Min Woo-
dc.contributor.nonIdAuthorKim, Hyun Jung-
dc.contributor.nonIdAuthorSong, Joon Woo-
dc.contributor.nonIdAuthorKang, Dong Oh-
dc.contributor.nonIdAuthorKim, Jin Won-
dc.description.isOpenAccessY-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorfluorescence lifetime imaging-
dc.subject.keywordAuthorhigh-risk plaque-
dc.subject.keywordAuthorinflammation-
dc.subject.keywordAuthorlipid-
dc.subject.keywordAuthormachine learning-
dc.subject.keywordAuthoroptical coherence tomography-
dc.subject.keywordPlusOPTICAL COHERENCE TOMOGRAPHY-
dc.subject.keywordPlusATHEROSCLEROTIC PLAQUES-
dc.subject.keywordPlusINDOCYANINE GREEN-
dc.subject.keywordPlusINTRAVASCULAR ULTRASOUND-
dc.subject.keywordPlusEX-VIVO-
dc.subject.keywordPlusMACROPHAGE-
dc.subject.keywordPlusDISEASE-
dc.subject.keywordPlusIVUS-
dc.subject.keywordPlusQUANTIFICATION-
dc.subject.keywordPlusINFLAMMATION-
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