Symmetry and asymmetry in atherosclerosis

Area of Science:

• Cardiovascular Medicine
• Biomedical Engineering
• Medical Informatics

Background:

• Atherosclerosis is a leading global cause of mortality.
• Hemodynamics, vascular, and plaque symmetry/asymmetry are critical factors in atherosclerosis.
• Existing cardiovascular risk scales require enhancement.

Purpose of the Study:

• To review the role of symmetry and asymmetry in the vasculature concerning atherosclerosis.
• To introduce a novel approach for cardiovascular risk assessment using precision medicine principles.
• To highlight the importance of artificial intelligence (AI) in cardiovascular risk stratification.

Main Methods:

• Literature analysis of PubMed and MEDLINE databases for terms related to vascular symmetry and atherosclerosis.
• Review of current research on hemodynamics, plaque distribution, and arterial geometry.
• Exploration of artificial intelligence applications in precision medicine for cardiovascular risk.

Main Results:

• Database searches revealed a significant body of literature on symmetry/asymmetry in relation to atherosclerosis, artery stenosis, and atherosclerotic lesions.
• The study underscores the critical role of vascular symmetry and asymmetry in arterial diseases.
• Artificial intelligence solutions are emerging as powerful tools for developing advanced cardiovascular risk assessment tools.

Conclusions:

• Understanding vascular symmetry and asymmetry is fundamental for diagnosing and managing arterial diseases like atherosclerosis.
• Artificial intelligence is indispensable for future cardiovascular risk stratification, aligning with precision medicine.
• The integration of AI promises more accurate and personalized cardiovascular risk assessment.