Recent trends in artificial intelligence-assisted coronary atherosclerotic plaque characterization
Article
Gudigar, Anjan, Nayak, Sneha, Samanth, Jyothi, Raghavendra, U., Ashwal, A J, Barua, Prabal Datta, Hasan, Md Nazmul, Ciaccio, Edward J., Tan, Ru-San and Acharya, U. Rajendra. 2021. "Recent trends in artificial intelligence-assisted coronary atherosclerotic plaque characterization." International Journal of Environmental Research and Public Health. 18 (19). https://doi.org/10.3390/ijerph181910003
Article Title | Recent trends in artificial intelligence-assisted coronary atherosclerotic plaque characterization |
---|---|
ERA Journal ID | 44293 |
Article Category | Article |
Authors | Gudigar, Anjan, Nayak, Sneha, Samanth, Jyothi, Raghavendra, U., Ashwal, A J, Barua, Prabal Datta, Hasan, Md Nazmul, Ciaccio, Edward J., Tan, Ru-San and Acharya, U. Rajendra |
Journal Title | International Journal of Environmental Research and Public Health |
Journal Citation | 18 (19) |
Article Number | 10003 |
Number of Pages | 27 |
Year | 2021 |
Publisher | MDPI AG |
Place of Publication | Switzerland |
ISSN | 1660-4601 |
1661-7827 | |
Digital Object Identifier (DOI) | https://doi.org/10.3390/ijerph181910003 |
Web Address (URL) | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115351991&doi=10.3390%2fijerph181910003&partnerID=40&md5=bb5562ea10816dd059f438c26bfcd2a7 |
Abstract | Coronary artery disease is a major cause of morbidity and mortality worldwide. Its underlying histopathology is the atherosclerotic plaque, which comprises lipid, fibrous and—when chronic—calcium components. Intravascular ultrasound (IVUS) and intravascular optical coherence tomography (IVOCT) performed during invasive coronary angiography are reference standards for characterizing the atherosclerotic plaque. Fine image spatial resolution attainable with contemporary coronary computed tomographic angiography (CCTA) has enabled noninvasive plaque assessment, including identifying features associated with vulnerable plaques known to presage acute coronary events. Manual interpretation of IVUS, IVOCT and CCTA images demands scarce physician ex-pertise and high time cost. This has motivated recent research into and development of artificial intelligence (AI)-assisted methods for image processing, feature extraction, plaque identification and characterization. We performed parallel searches of the medical and technical literature from 1995 to 2021 focusing respectively on human plaque characterization using various imaging modalities and the use of AI-assisted computer aided diagnosis (CAD) to detect and classify atherosclerotic plaques, including their composition and the presence of high-risk features denoting vulnerable plaques. A total of 122 publications were selected for evaluation and the analysis was summarized in terms of data sources, methods—machine versus deep learning—and performance metrics. Trends in AI-assisted plaque characterization are detailed and prospective research challenges discussed. Future directions for the development of accurate and efficient CAD systems to characterize plaque noninvasively using CCTA are proposed. © 2021 by the authors. Licensee MDPI, Basel, Switzerland. |
Keywords | Artificial intelligence; intravascular optical coherence tomography; intravascular ultrasound; computer aided diagnosis; coronary angiography; coronary artery disease; coronary computed tomographic angiography |
ANZSRC Field of Research 2020 | 400306. Computational physiology |
Byline Affiliations | Manipal Academy of Higher Education, India |
University of Technology Sydney | |
University of Southern Queensland | |
Ad-Din Medical College Hospital, Bangladesh | |
Columbia University Irving Medical Center, United States | |
National Heart Centre, Singapore | |
Duke-NUS Medical School, Singapore | |
Ngee Ann Polytechnic, Singapore | |
Asia University, Taiwan | |
Singapore University of Social Sciences (SUSS), Singapore |
Permalink -
https://research.usq.edu.au/item/z1v91/recent-trends-in-artificial-intelligence-assisted-coronary-atherosclerotic-plaque-characterization
Download files
44
total views13
total downloads9
views this month1
downloads this month