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Related Concept Videos

Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT01:25

Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT

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Calcium-Scoring CT ScanA calcium-scoring CT scan, also known as coronary artery calcium (CAC) scan, detects calcium deposits in the coronary arteries. This test assesses the risk of coronary artery disease (CAD), which can lead to cardiovascular events such as angina, heart failure, and sudden cardiac arrest.A calcium-scoring CT scan is generally recommended for individuals at intermediate risk of CAD without symptoms. It includes:Men aged 40-75 and women aged 50-75: Especially those with a...
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Author Spotlight: Advancing Cardiovascular Imaging - Introducing the Spatially Weighted Calcium Score for Early Disease Detection
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Calcium score: semiautomatic calculation using different vendors versus fully automatic software.

Olga R Brook1, Subhi Abadi, Reuven Shreiber

  • 1From the *Department of Diagnostic Imaging, Rambam Health Care Campus, Haifa, Israel; †Department of Radiology, Beth Israel Deaconess Medical Center, Boston, MA; and ‡Diagnostic Radiology, Henry Ford Hospital, Detroit, MI.

Journal of Computer Assisted Tomography
|April 1, 2014
PubMed
Summary
This summary is machine-generated.

Calcium score measurements show strong agreement across different vendors and software types. This indicates robust and reliable results regardless of whether vendor-specific, unrelated, or fully automatic software is used for cardiac imaging analysis.

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Area of Science:

  • Cardiovascular Imaging
  • Medical Physics
  • Radiology

Background:

  • Technological advancements have led to diverse cardiac imaging postprocessing software.
  • Software from vendors unrelated to the original scanner is now common.
  • Fully automatic calcium score software has emerged as a new option.

Purpose of the Study:

  • To assess intervendor variability in calcium score measurements.
  • To compare vendor-specific, unrelated vendor, and fully automatic software.
  • To evaluate the robustness of calcium scoring across different software platforms.

Main Methods:

  • Retrospective analysis of 101 patients undergoing calcium scoring from March 2007 to January 2008.
  • Studies performed on 64-slice CT scanners from two different vendors.
  • Calcium scores measured using semiautomatic software on vendor-specific and unrelated workstations, and by fully automatic software, with blinded readings.
  • Agreement assessed using Pearson correlation, Bland-Altman plots, and Fleiss kappa (κ).

Main Results:

  • High intervendor agreement observed (κ = 0.98 ± 0.01 and κ = 0.96 ± 0.02).
  • Excellent interobserver agreement (κ = 1).
  • Semiautomatic versus automatic software showed strong agreement (κ = 0.88 to 0.94).

Conclusions:

  • Calcium score measurements demonstrate very strong agreement across different software vendors and types.
  • Measurements are robust whether using vendor-specific, unrelated, or fully automatic software.
  • This consistency supports the reliable use of various software solutions for cardiac calcium scoring.