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

Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT

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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Related Experiment Video

Updated: May 12, 2026

A Magnetic Resonance Imaging-based Computational Protocol for Analysis of Plaque Morphology and Hemodynamics in Patients with Carotid Artery Stenosis
09:36

A Magnetic Resonance Imaging-based Computational Protocol for Analysis of Plaque Morphology and Hemodynamics in Patients with Carotid Artery Stenosis

Published on: August 12, 2025

Carotid plaque formation prediction model and validation: a case-control study.

JiLin Wu1, XiaoPing Yang2, Alimire Maimaitimin1

  • 1Department of Hypertension, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China.

Frontiers in Cardiovascular Medicine
|May 11, 2026
PubMed
Summary
This summary is machine-generated.

This study identified key risk factors for carotid plaque, finding that female sex and high HDL-c reduce risk, while older age and smoking increase it. A predictive model was developed for better atherosclerosis risk stratification.

Keywords:
LASSOLogistic regressionPrediction modelRisk factorscarotid plaque

Related Experiment Videos

Last Updated: May 12, 2026

A Magnetic Resonance Imaging-based Computational Protocol for Analysis of Plaque Morphology and Hemodynamics in Patients with Carotid Artery Stenosis
09:36

A Magnetic Resonance Imaging-based Computational Protocol for Analysis of Plaque Morphology and Hemodynamics in Patients with Carotid Artery Stenosis

Published on: August 12, 2025

Area of Science:

  • Cardiovascular Medicine
  • Atherosclerosis Research
  • Public Health

Background:

  • Carotid plaque is an early indicator of atherosclerosis.
  • Current tools for plaque risk stratification are limited.
  • This study addresses the need for convenient risk assessment tools.

Purpose of the Study:

  • Investigate risk factors for carotid plaque occurrence.
  • Establish a predictive model for carotid plaque.
  • Develop a risk assessment scale for carotid plaque.

Main Methods:

  • Retrospective analysis of 12,391 individuals undergoing health examinations.
  • Application of Least Absolute Shrinkage and Selection Operator (LASSO) regression.
  • Construction of a binary multivariate logistic regression model using development and validation sets.

Main Results:

  • Female sex (OR=0.59) and high-density lipoprotein cholesterol (HDL-c) >1.55 mmol/L (OR=0.80) were associated with reduced carotid plaque risk.
  • Age 45-59 years (OR=5.19) and age ≥60 years (OR=14.04) were independently associated with increased risk.
  • Smoking (OR=1.37) was also independently associated with increased carotid plaque risk.

Conclusions:

  • Identified key demographic and clinical factors influencing carotid plaque development.
  • Developed a predictive model and risk assessment scale for carotid plaque.
  • Findings can aid in early atherosclerosis detection and risk stratification.