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Model and Application to Support the Coronary Artery Diseases (CAD): Development and Testing

Lina Teresa Gaudio1, Pierangelo Veltri1, Salvatore De Rosa2

  • 1Bioengineering Unit, Department of Medical and Surgical Sciences, Magna Graecia University, Catanzaro, Italy.

Interdisciplinary Sciences, Computational Life Sciences
|December 12, 2018
PubMed

Insights

This study developed a Java application to assess hemodynamic shear stress in coronary arteries with stenosis. The tool aids in predicting atherosclerotic plaque development and managing cardiovascular disease.

Area of Science:

  • Cardiovascular medicine
  • Biomedical engineering
  • Computational fluid dynamics

Background:

  • Cardiovascular diseases are a leading cause of mortality, often linked to atherosclerotic plaque in coronary arteries.
  • Coronary stenosis, a narrowing of the arteries, can lead to serious complications.
  • Understanding endothelial stress is crucial for blood circulation and managing thromboembolic risks.

Purpose of the Study:

  • To develop and validate a Java application for evaluating hemodynamic shear stress indicators.
  • To analyze these indicators in coronary arteries with varying degrees of stenosis.
  • To assess patient-specific conditions influencing hemodynamic stress.

Main Methods:

  • Development of a Java-based application for hemodynamic simulations.
  • Customization of coronary anatomy with different stenosis degrees and positions.
  • Simulation of hemodynamic shear stress indicators.

Main Results:

  • The application provides a visual representation of simulation results.
  • It allows for the evaluation of specific hemodynamic shear stress indicators.
  • The tool can predict disturbed flow factors related to plaque development.

Conclusions:

  • The developed application is a valuable predictive tool for disturbed flow factors.
  • It aids in understanding atherosclerotic plaque location and progression.
  • The tool supports the assessment and follow-up of coronary artery disease.

Keywords:
ApplicationCFD analysisCoronary artery diseasesShear stress indices

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