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Identifying Coronary Artery Calcification on Non-gated Computed Tomography Scans
Published on: August 28, 2018
Comparative Prognostic Value of Coronary Calcium Score and Perivascular Fat Attenuation Index in Coronary Artery
Maria Teresa Savo1, Morena De Amicis2, Dan Alexandru Cozac3
1Cardiology Unit, Cardio-thoraco-vascular and Public Health Department, Padova University Hospital, 35121 Padova, Italy.
Insights
Coronary artery disease (CAD) risk can be better assessed by combining coronary artery calcium scoring (CACs) with the perivascular fat attenuation index (pFAI). This integrated approach enhances cardiovascular risk stratification beyond traditional methods for improved CAD prevention.
Area of Science:
- Cardiovascular Imaging
- Radiology
- Preventive Cardiology
Background:
- Coronary artery disease (CAD) is a leading cause of death globally, characterized by atherosclerotic plaque buildup.
- Non-obstructive CAD contributes to myocardial infarctions, highlighting the need for comprehensive plaque assessment.
- Cardiac Computed Tomography Angiography (CCTA) is effective for excluding obstructive CAD and characterizing plaques.
Purpose of the Study:
- To review the roles of coronary artery calcium score (CACs) and perivascular fat attenuation index (pFAI) in CAD risk stratification.
- To explore the integration of CACs and pFAI for enhanced cardiovascular risk assessment.
- To emphasize the importance of assessing both calcified and non-calcified plaques, along with vascular inflammation.
Main Methods:
- Review of current literature on CCTA, CACs, and pFAI in CAD assessment.
- Discussion of CACs derived from non-contrast CT for quantifying calcified plaque burden.
- Explanation of pFAI derived from CCTA as a marker of coronary inflammation.
Main Results:
- CACs quantifies calcified plaque burden and stratifies cardiovascular risk, particularly in asymptomatic individuals.
- pFAI, an emerging marker from CCTA, indicates vascular inflammation and predicts adverse cardiac events.
- Current methods like CACs do not fully capture non-calcified plaque or inflammatory status.
Conclusions:
- Combining CACs and pFAI offers a comprehensive approach to cardiovascular risk stratification.
- Integrating calcification burden (CACs) with inflammatory markers (pFAI) can improve CAD prevention and management.
- Advanced CCTA techniques enable precise plaque quantification and characterization for better patient outcomes.
Abstract:
Coronary artery disease (CAD) is the leading global cause of mortality, accounting for approximately 30% of all deaths. It is primarily characterized by the accumulation of atherosclerotic plaques within the coronary arteries, leading to reduced blood flow to the heart muscle. Early detection of atherosclerotic plaques is crucial to prevent major adverse cardiac events. Notably, recent studies have shown that 15% of myocardial infarctions occur in patients with non-obstructive CAD, underscoring the importance of comprehensive plaque assessment beyond merely identifying obstructive lesions. Cardiac Computed Tomography Angiography (CCTA) has emerged as a cost-effective and efficient technique for excluding obstructive CAD, particularly in patients with a low-to-intermediate clinical likelihood of the disease. Recent advancements in CCTA technology, such as improved resolution and reduced scan times, have mitigated many technical challenges, allowing for precise quantification and characterization of both calcified and non-calcified atherosclerotic plaques. This review focuses on two critical physiological aspects of atherosclerotic plaques: the burden of calcifications, assessed via the coronary artery calcium score (CACs), and perivascular fat attenuation index (pFAI), an emerging marker of vascular inflammation. The CACs, obtained through non-contrast CT scans, quantifies calcified plaque burden and is widely used to stratify cardiovascular risk, particularly in asymptomatic patients. Despite its prognostic value, the CACs does not provide information on non-calcified plaques or inflammatory status. In contrast, the pFAI, derived from CCTA, serves as an indirect marker of coronary inflammation and has shown potential in predicting adverse cardiac events. Combining both CACs and pFAI assessment could offer a comprehensive risk stratification approach, integrating the established calcification burden with novel inflammatory markers to enhance CAD prevention and management strategies.
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