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Identifying Coronary Artery Calcification on Non-gated Computed Tomography Scans
Published on: August 28, 2018
Coronary artery calcium scoring
Sanjay Mehra1, Hossein Movahed, Assad Movahed
1Department of Cardiovascular Sciences, East Carolina University Brody School of Medicine, Greenville, NC, USA.
Insights
Coronary artery calcium scoring significantly improves prediction of coronary heart disease events. Early identification of high-risk patients with coronary artery disease (CAD) is crucial for timely preventive measures.
Area of Science:
- Cardiology
- Medical Imaging
- Preventive Medicine
Background:
- Coronary artery disease (CAD) often presents unexpectedly, leading to myocardial infarction or sudden death.
- Conventional risk factors inadequately identify all patients at high risk for CAD events.
- Early detection of high-risk individuals is vital to reduce CAD-related morbidity and mortality.
Purpose of the Study:
- To evaluate the role of coronary artery calcium scoring in risk prediction for coronary heart disease events.
- To assess the incremental predictive value of coronary artery calcium scoring beyond traditional risk factors.
Main Methods:
- Review of numerous clinical studies on coronary artery calcium scoring.
- Analysis of data comparing coronary artery calcium scoring with conventional coronary risk factors.
Main Results:
- Coronary artery calcium scoring offers substantial incremental risk prediction for coronary heart disease.
- A significant proportion of CAD patients experience initial events like myocardial infarction or sudden death.
Conclusions:
- Coronary artery calcium scoring enhances the identification of individuals at high risk for CAD.
- Implementing intensive, early preventive strategies based on calcium scoring can decrease CAD-related mortality and morbidity.
Abstract:
Numerous clinical studies have shown that coronary artery calcium scoring provides substantial incremental risk prediction beyond conventional coronary risk factors for coronary heart disease events. About half of all patients with coronary artery disease (CAD) present initially with unexpected myocardial infarction or sudden death. Early identification of this subgroup of patients is vital for institution of intensive, early preventive measures to decrease morbidity and mortality due to CAD.
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