Abstract
Coronary artery calcification (CAC) provides an objective measure of coronary artery disease and can readily be identified on non-gated computed tomography (CT) scans with a high correlation with gated cardiac CT scans. This standardized protocol takes a step-wise approach to not only optimizing an image for the identification of calcification but also to distinguishing CAC from other common causes of calcification in the cardiac silhouette. Recognition of CAC on non-gated CT scans helps to identify a very powerful prognostic factor that can influence therapeutic interventions or downstream diagnostic testing without requiring a gated cardiac scan. These non-gated CT scans are often acquired as part of the routine care of the patient, and this data is readily available without another dose of ionizing radiation. This protocol allows for the precise and accurate extraction of this data for the purposes of retrospective data analysis in clinical research studies, but also in the clinical evaluation and management of patients.
Original language | English |
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Article number | e57918 |
Journal | Journal of Visualized Experiments |
Volume | 2018 |
Issue number | 138 |
DOIs | |
State | Published - 2018 |
Bibliographical note
Publisher Copyright:© 2018, Journal of Visualized Experiments. All rights reserved.
Funding
This work was supported by the National Institutes of Health [1TL1TR001997-01, 2016-2017].
Funders | Funder number |
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National Institutes of Health (NIH) | |
National Center for Advancing Translational Sciences (NCATS) | TL1TR001997 |
National Center for Advancing Translational Sciences (NCATS) |
Keywords
- Coronary artery calcification
- Issue 138
- Medicine
- cardiovascular risk
- computed tomography
- coronary artery disease
- ischemic heart disease
- stress testing
ASJC Scopus subject areas
- General Neuroscience
- General Chemical Engineering
- General Biochemistry, Genetics and Molecular Biology
- General Immunology and Microbiology