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Updated: Mar 16, 2026

Identifying Coronary Artery Calcification on Non-gated Computed Tomography Scans
Published on: August 28, 2018
Imaging of coronary atherosclerosis in various susceptible groups
Ravi Kiran Munnur1, Nitesh Nerlekar1, Dennis T L Wong1
1Monash Cardiovascular Research Centre/MonashHEART, Clayton, Victoria, Australia.
Insights
Coronary artery disease (CAD) arises from atherosclerosis, influenced by genetics and risk factors like diabetes and hypertension. Imaging studies reveal plaque characteristics in diverse high-risk groups, aiding personalized therapy development.
Area of Science:
- Cardiovascular Medicine
- Medical Imaging
- Pathophysiology
Background:
- Coronary artery disease (CAD) is a major global health burden, primarily caused by atherosclerosis.
- Atherosclerosis results from genetic and environmental factors including hypertension (HT), dyslipidaemia, diabetes mellitus (DM), smoking, obesity, and chronic kidney disease (CKD).
- Understanding plaque formation and progression is crucial for preventing CAD events.
Purpose of the Study:
- To review invasive and non-invasive imaging findings of coronary atherosclerosis.
- To examine plaque characteristics in high-risk populations: DM, metabolic syndrome, obesity, CKD, and diverse gender and ethnic groups.
- To explore how understanding plaque phenotypes can inform personalized treatment strategies.
Main Methods:
- Review of invasive intravascular imaging techniques: intravascular ultrasound (IVUS), Virtual histology IVUS (VH-IVUS), and optical coherence tomography (OCT).
- Review of non-invasive imaging techniques: coronary artery calcium (CAC) scoring and computed tomography coronary angiography (CTCA).
- Synthesis of findings from studies on various high-risk populations.
Main Results:
- Invasive and non-invasive imaging provide detailed in vivo assessment of plaque burden, morphology, and stenosis.
- Specific plaque phenotypes are observed in different high-risk groups, including those with DM, metabolic syndrome, obesity, and CKD.
- Gender and ethnic variations in atherosclerosis are evident.
Conclusions:
- Imaging modalities are essential for characterizing coronary atherosclerosis in diverse populations.
- Identifying distinct plaque phenotypes in susceptible groups is key to advancing personalized CAD therapies.
- Further research into population-specific atherosclerosis can optimize risk stratification and treatment approaches.
Abstract:
Coronary artery disease (CAD) is the leading cause of death and disability worldwide. Atherosclerosis, which is the primary pathophysiologic mechanism for the development of plaque leading to CAD, is a multifactorial process resulting from a complex interplay between genetic susceptibility and various risk factors such as hypertension (HT), dyslipidaemia, diabetes mellitus (DM) and smoking. In addition, influences from other disease states such as chronic kidney disease (CKD), obesity and the metabolic syndrome as well as gender and ethnic diversity also contribute to the disease process. Insights from pathological observations and advances in cellular and molecular biology have helped us understand the process of plaque formation, progression and rupture leading to events. Several intravascular imaging techniques such as intravascular ultrasound (IVUS), Virtual histology IVUS (VH-IVUS) and optical coherence tomography (OCT) allow in vivo assessment of plaque burden, plaque morphology and response to therapy. In addition, non invasive assessment using coronary artery calcium (CAC) score allows risk stratification and plaque burden assessment whilst computed tomography coronary angiography (CTCA) allows evaluation of luminal stenosis, plaque characterisation and quantification. This review aims to summarise the results of invasive and non-invasive imaging studies of coronary atherosclerosis seen in various high-risk populations including DM, metabolic syndrome, obesity, CKD and, gender differences and ethnicity. Understanding the phenotype of plaques in various susceptible groups may allow potential development of personalised therapies.
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