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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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DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
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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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Related Experiment Video

Updated: Nov 5, 2025

A Magnetic Resonance Imaging-based Computational Protocol for Analysis of Plaque Morphology and Hemodynamics in Patients with Carotid Artery Stenosis
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Artificial intelligence in computed tomography plaque characterization: A review.

Riccardo Cau1, Adam Flanders2, Lorenzo Mannelli3

  • 1Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari - Polo di Monserrato, s.s. 554 Monserrato (Cagliari), 09045, Italy.

European Journal of Radiology
|May 17, 2021
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) enhances cardiovascular disease (CVD) diagnosis by analyzing CT scans for vulnerable plaque characteristics. This technology aids in early detection and risk assessment, improving patient outcomes and reducing healthcare burdens.

Keywords:
Artificial intelligenceAtherosclerosisCTAPlaque characterization

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Area of Science:

  • Cardiology
  • Radiology
  • Medical Imaging
  • Artificial Intelligence

Background:

  • Cardiovascular disease (CVD) poses a significant global mortality risk.
  • Early diagnosis and prevention are crucial for mitigating the socio-economic impact of CVD.
  • Artificial intelligence (AI) is rapidly advancing, with applications emerging in various medical fields.

Purpose of the Study:

  • To provide an overview of AI applications in cardiovascular disease (CVD) plaque characterization using CT.
  • To discuss the strengths, limitations, and future prospects of AI in this domain.
  • To highlight the role of radiologists in integrating AI into clinical practice.

Main Methods:

  • Review of existing literature on AI applications in CT-based plaque analysis.
  • Focus on AI algorithms for image acquisition, reconstruction, and predictive modeling.
  • Examination of AI's role in assessing stenosis degree and plaque morphology.

Main Results:

  • AI offers automated solutions for plaque analysis in CT angiography (CTA), including stenosis assessment and morphology characterization.
  • Evidence links specific plaque types (high-risk/vulnerable plaque) to cardiovascular events, independent of stenosis severity.
  • AI demonstrates potential in creating robust predictive models by extracting information from medical images.

Conclusions:

  • AI holds significant promise for improving the characterization of cardiovascular plaques on CT.
  • The integration of AI in clinical practice requires active radiologist participation.
  • Further development and validation of AI tools are essential for advancing CVD diagnosis and management.