An Update on Coronary Artery Calcium Interpretation at Chest and Cardiac CT.
Olufunmilayo H ObisesanAlbert D OseiS M Iftekhar UddinOmar DzayeMichael J BlahaPublished in: Radiology. Cardiothoracic imaging (2021)
Coronary artery calcium (CAC) is a marker of overall coronary atherosclerotic burden in an individual. As such, it is an important tool in cardiovascular risk stratification and preventive treatment of asymptomatic patients with unclear cardiovascular disease risk. Several guidelines have recommended the use of CAC testing in shared decision making between the clinician and patient. With recent updates in clinical management guidelines and broad recommendations for CAC, there is a need for concise updated information on CAC interpretation on traditional electrocardiographically gated scans and nongated thoracic scans. Important points to report when interpreting CAC scans include: the absolute Agatston score and the age, sex, and race-specific CAC percentile; general recommendations on time-to-rescan for individuals with a CAC score of 0; the number of vessels with CAC; the presence of CAC in the left main coronary artery; and specific highlighting of individuals with very high CAC scores of greater than 1000. When risk factor information is available, the 10-year coronary heart disease risk can also be easily assessed using the free online Multi-Ethnic Study of Atherosclerosis risk score calculator. Recent improvements in standardizing the reporting of CAC findings across gated and nongated studies, such as the CAC Data and Reporting System, show promise for improving the widespread clinical value of CAC in clinical practice. © RSNA, 2021.
Keyphrases
- coronary artery
- clinical practice
- cardiovascular disease
- computed tomography
- pulmonary artery
- emergency department
- risk factors
- heart failure
- healthcare
- coronary artery disease
- health information
- metabolic syndrome
- left ventricular
- case report
- type diabetes
- magnetic resonance
- machine learning
- social media
- adverse drug
- electronic health record
- cardiovascular events
- image quality
- deep learning
- positron emission tomography
- aortic valve
- pet ct
- ejection fraction