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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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Imaging Studies for Cardiovascular System V: CT01:28

Imaging Studies for Cardiovascular System V: CT

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Cardiac computed tomography (CT) scanning is an advanced cardiac imaging technique that utilizes CT technology, with or without intravenous (IV) contrast, to produce accurate cross-sectional virtual slices of specific areas of the heart, coronary circulation, and major blood vessels such as the aorta, pulmonary veins, and arteries. The computer processes these slices to generate three-dimensional images. Multidetector CT (MDCT) is a rapid form of CT scanning that captures multiple slices...
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Imaging Studies for Cardiovascular System III: X-Ray01:20

Imaging Studies for Cardiovascular System III: X-Ray

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The most common cardiovascular diagnostic test is an X-ray. It produces images of the heart, blood vessels, and adjacent structures.
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An X-ray, or radiograph, is a non-invasive method that uses ionizing radiation to take images of internal structures. It is mainly used in cardiac imaging to examine the heart, lungs, and major blood vessels, aiming to identify abnormalities in the heart's size, shape, and position, such as heart failure, congenital defects, and vascular...
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Aortic Regurgitation II: Clinical Features and Diagnostic Tests01:22

Aortic Regurgitation II: Clinical Features and Diagnostic Tests

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Aortic valve regurgitation (AR) occurs when the aortic valve fails to close properly, allowing blood to flow backward from the aorta into the left ventricle. This backflow can result in two distinct clinical presentations: acute and chronic AR, each characterized by its own set of symptoms and physical findings.Acute Aortic RegurgitationAcute AR presents with a sudden onset of severe symptoms. Patients typically experience profound dyspnea (shortness of breath), chest pain, and signs of left...
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Identifying Coronary Artery Calcification on Non-gated Computed Tomography Scans
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Quantifying Aortic Valve Calcification using Coronary Computed Tomography Angiography.

Abdulrahman M Alqahtani1, Kevin E Boczar2, Vinay Kansal2

  • 1Division of Cardiology, University of Ottawa Heart Institute, Canada; King Fahad Medical City, Riyadh, Saudi Arabia.

Journal of Cardiovascular Computed Tomography
|February 18, 2017
PubMed
Summary
This summary is machine-generated.

Quantifying aortic valve calcification (AVC) with contrast-enhanced CT angiography (CTA) is feasible. This new method, AVCCorrected, shows good agreement with traditional coronary artery calcification (CAC) scoring.

Keywords:
Aortic stenosisAortic valve calcificationCardiac CT angiography

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Area of Science:

  • Cardiovascular Imaging
  • Radiology
  • Medical Diagnostics

Background:

  • Aortic valve calcification (AVC) is linked to adverse cardiovascular outcomes and mortality.
  • Current quantification methods for AVC may not be optimal.

Purpose of the Study:

  • To develop and validate a novel method for quantifying AVC using contrast-enhanced coronary CT angiography (CTA).
  • To assess the reliability and agreement of the new AVC quantification method compared to traditional methods.

Main Methods:

  • Utilized data from 59 patients undergoing both non-contrast and contrast-enhanced coronary CTA.
  • Developed a new AVC quantification method (AVCCTA) using contrast-enhanced CTA, defining a calcium threshold based on aortic attenuation.
  • Calculated a correction factor to convert AVCCTA to an AVCCAC equivalent (AVCCorrected).

Main Results:

  • Excellent correlation (r=0.982) between AVCCAC and AVCCTA in the derivation cohort.
  • Good correlation (ICC=0.939) and agreement (kappa=0.700) between AVCCAC and AVCCorrected in the validation cohort.
  • A correction factor (1.868) was established to equate AVCCTA to AVCCAC.

Conclusions:

  • Quantification of AVC using contrast-enhanced CTA (AVCCorrected) is feasible and reliable.
  • The method demonstrates good agreement with traditional AVC quantification (AVCCAC).
  • Further large-scale validation is required to determine if AVCCorrected can replace AVCCAC.