학술논문
Noninvasive Atherosclerotic Phenotyping: The Next Frontier into Understanding the Pathobiology of Coronary Artery Disease.
Document Type
Academic Journal
Author
Wolny R; Department of Interventional Cardiology and Angiology, National Institute of Cardiology, Warsaw, Poland.; Geers J; Department of Biomedical Sciences, and Department of Medicine, Cedars-Sinai Medical Center, Biomedical Imaging Research Institute, Los Angeles, CA, USA.; Department of Cardiology, Centrum Voor Hart- en Vaatziekten (CHVZ), Universitair Ziekenhuis Brussel (UZ Brussel), Vrije Universiteit Brussel (VUB), Brussels, Belgium.; Grodecki K; Department of Biomedical Sciences, and Department of Medicine, Cedars-Sinai Medical Center, Biomedical Imaging Research Institute, Los Angeles, CA, USA.; 1st Department of Cardiology, Medical University of Warsaw, Warsaw, Poland.; Kwiecinski J; Department of Interventional Cardiology and Angiology, National Institute of Cardiology, Warsaw, Poland.; Williams MC; British Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK.; Slomka PJ; Department of Biomedical Sciences, and Department of Medicine, Cedars-Sinai Medical Center, Biomedical Imaging Research Institute, Los Angeles, CA, USA.; Hasific S; Department of Biomedical Sciences, and Department of Medicine, Cedars-Sinai Medical Center, Biomedical Imaging Research Institute, Los Angeles, CA, USA.; Department of Cardiology, Odense University Hospital, Odense, Denmark.; Lin AK; Department of Biomedical Sciences, and Department of Medicine, Cedars-Sinai Medical Center, Biomedical Imaging Research Institute, Los Angeles, CA, USA.; Monash Cardiovascular Research Centre, Victorian Heart Institute, Monash University and MonashHeart, Monash Health, Melbourne, VIC, Australia.; Dey D; Department of Biomedical Sciences, and Department of Medicine, Cedars-Sinai Medical Center, Biomedical Imaging Research Institute, Los Angeles, CA, USA. Damini.Dey@cshs.org.
Source
Publisher: Springer Country of Publication: United States NLM ID: 100897685 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1534-6242 (Electronic) Linking ISSN: 15233804 NLM ISO Abbreviation: Curr Atheroscler Rep Subsets: MEDLINE
Subject
Language
English
Abstract
Purpose of Review: Despite recent advances, coronary artery disease remains one of the leading causes of mortality worldwide. Noninvasive imaging allows atherosclerotic phenotyping by measurement of plaque burden, morphology, activity and inflammation, which has the potential to refine patient risk stratification and guide personalized therapy. This review describes the current and emerging roles of advanced noninvasive cardiovascular imaging methods for the assessment of coronary artery disease.
Recent Findings: Cardiac computed tomography enables comprehensive, noninvasive imaging of the coronary vasculature, and is used to assess luminal stenoses, coronary calcifications, and distinct adverse plaque characteristics, helping to identify patients prone to future events. Novel software tools, implementing artificial intelligence solutions, can automatically quantify and characterize atherosclerotic plaque from standard computed tomography datasets. These quantitative imaging biomarkers have been shown to improve patient risk stratification beyond clinical risk scores and current clinical interpretation of cardiac computed tomography. In addition, noninvasive molecular imaging in higher risk patients can be used to assess plaque activity and plaque thrombosis. Noninvasive imaging allows unique insight into the burden, morphology and activity of atherosclerotic coronary plaques. Such phenotyping of atherosclerosis can potentially improve individual patient risk prediction, and in the near future has the potential for clinical implementation.
(© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)
Recent Findings: Cardiac computed tomography enables comprehensive, noninvasive imaging of the coronary vasculature, and is used to assess luminal stenoses, coronary calcifications, and distinct adverse plaque characteristics, helping to identify patients prone to future events. Novel software tools, implementing artificial intelligence solutions, can automatically quantify and characterize atherosclerotic plaque from standard computed tomography datasets. These quantitative imaging biomarkers have been shown to improve patient risk stratification beyond clinical risk scores and current clinical interpretation of cardiac computed tomography. In addition, noninvasive molecular imaging in higher risk patients can be used to assess plaque activity and plaque thrombosis. Noninvasive imaging allows unique insight into the burden, morphology and activity of atherosclerotic coronary plaques. Such phenotyping of atherosclerosis can potentially improve individual patient risk prediction, and in the near future has the potential for clinical implementation.
(© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)