Computational fluid dynamics in coronary artery disease.

Area of Science:

• Biomedical Engineering
• Cardiovascular Research
• Computational Science

Background:

• Computational fluid dynamics (CFD) is a powerful simulation tool increasingly applied in biomedical research, particularly for coronary artery disease (CAD).
• CFD enables detailed analysis of cardiovascular hemodynamics, predicting blood flow behavior within the human circulatory system.
• Its application in CAD research is driven by advancements in high-performance computing hardware and software.

Purpose of the Study:

• To provide a comprehensive overview of Computational fluid dynamics applications in coronary artery disease research.
• To explore the use of CFD in understanding plaque biomechanics, progression, and rupture.
• To critically evaluate CFD-based fractional flow reserve (FFR) for diagnosing hemodynamically significant CAD.

Main Methods:

• Review of existing literature on CFD applications in cardiovascular hemodynamics and CAD.
• Analysis of CFD simulations based on 3D luminal reconstructions of coronary arteries.
• Critical appraisal of CFD-derived fractional flow reserve (FFR) for diagnostic accuracy.

Main Results:

• CFD simulations allow for detailed analysis of local flow fields and flow profiling influenced by coronary artery geometry.
• These analyses help identify risk factors associated with the development and progression of coronary artery disease.
• CFD-based FFR shows potential in detecting hemodynamically significant CAD, though its diagnostic accuracy requires critical evaluation.

Conclusions:

• Computational fluid dynamics is a valuable tool for investigating the biomechanics and hemodynamics of coronary artery disease.
• CFD simulations aid in understanding plaque behavior and identifying disease risk factors.
• CFD-based fractional flow reserve presents a promising, non-invasive approach for diagnosing significant coronary artery disease, warranting further validation.