Projects per year
Abstract
Radiomics, via the extraction of quantitative information from conventional radiologic images, can identify imperceptible imaging biomarkers that can advance the characterization of coronary plaques and the surrounding adipose tissue. Such an approach can unravel the underlying pathophysiology of atherosclerosis which has the potential to aid diagnostic, prognostic and, therapeutic decision making. Several studies have demonstrated that radiomic analysis can characterize coronary atherosclerotic plaques with a level of accuracy comparable, if not superior, to current conventional qualitative and quantitative image analysis. While there are many milestones still to be reached before radiomics can be integrated into current clinical practice, such techniques hold great promise for improving the imaging phenotyping of coronary artery disease.
Original language | English |
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Article number | 879 |
Number of pages | 17 |
Journal | Cells |
Volume | 10 |
Issue number | 4 |
DOIs | |
Publication status | Published - Apr 2021 |
Keywords
- acute coronary syndrome
- atherosclerosis
- coronary computed tomography angiography
- machine learning
- peri-coronary adipose tissue
- plaque
- radiomics
Projects
- 1 Finished
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The Effect of Statin and Colchicine on Pericoronary Adipose Tissue Inflammation and Coronary Artery Plaque Progression: Insights from Cardiac Computed Tomography Using Pericoronary Adipose Tissue Attenuation and Radiomics
Cheng, K. (Primary Chief Investigator (PCI)) & Wong, D. (Supervisor)
27/01/21 → 26/11/23
Project: Research