Comprehensive Assessment of High-Risk Plaques by Dual-Modal Imaging Catheter in Coronary Artery
- Authors
- Kim, Sunwon; Nam, Hyeong Soo; Lee, Min Woo; Kim, Hyun Jung; Kang, Woo Jae; Song, Joon Woo; Han, Jeongmoo; Kang, Dong Oh; Oh, Wang-Yuhl; Yoo, Hongki; Kim, Jin Won
- Issue Date
- 12월-2021
- Publisher
- ELSEVIER SCIENCE INC
- Keywords
- fluorescence lifetime imaging; high-risk plaque; inflammation; lipid; machine learning; optical coherence tomography
- Citation
- JACC-BASIC TO TRANSLATIONAL SCIENCE, v.6, no.12, pp.948 - 960
- Indexed
- SCIE
SCOPUS
- Journal Title
- JACC-BASIC TO TRANSLATIONAL SCIENCE
- Volume
- 6
- Number
- 12
- Start Page
- 948
- End Page
- 960
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/135678
- DOI
- 10.1016/j.jacbts.2021.10.005
- ISSN
- 2452-302X
- Abstract
- Coronary 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.
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Collections - Graduate School > Department of Biomedical Sciences > 1. Journal Articles
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