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Identifying Coronary Artery Calcification on Non-gated Computed Tomography Scans

  • Vedant A. Gupta(corresponding author)
    ,
  • Steve W. Leung
    ,
  • Michael A. Winkler
    ,
  • Vincent L. Sorrell
*Corresponding author for this work
  • University of Kentucky
Scholary Output:
Contribution to journal
Article
Peer-review

Open access

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.

Publication Information

Output type

Scholary Output:
Contribution to journal
Article
Peer-review

Original language

English (US)

Article number

e57918

Journal (Volume, Issue Number)

Journal of Visualized Experiments (Volume 2018, Issue 138)

Publication milestones

  • Published - 2018

Publication status

Published - 2018

ISSN

1940-087X

Publication IDs

  • Scopus: 85056975580
  • PubMed: 30222151

Publication metrics

Metrics

Scopus
citations
Fractional count
1
Fractional count
0.25
Fractional count
3
Fractional count
0.75
Fractional count
1
Fractional count
1

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Citation count
3
Captures
22

Funding Details

This work was supported by the National Institutes of Health [1TL1TR001997-01, 2016-2017].