Cardiovascular computed tomography imaging for coronary artery disease risk: plaque, flow and fat

Area of Science:

• Cardiovascular Imaging
• Radiology
• Biomarkers of Atherosclerosis

Background:

• Cardiac imaging is crucial for diagnosing and stratifying coronary artery disease (CAD) risk.
• CT coronary angiography visualizes plaque and estimates stenosis, but doesn't capture all risk factors.
• Biological processes like inflammation contribute to CAD risk, often undetected by current imaging.

Purpose of the Study:

• To explore advanced cardiac CT techniques for assessing coronary artery inflammation.
• To investigate the role of perivascular fat imaging in identifying 'residual risk' in CAD.
• To enhance CAD risk assessment by integrating clinical factors, plaque characteristics, and inflammation.

Main Methods:

• Utilizing CT coronary angiography for high-resolution plaque detection and characterization.
• Employing novel cardiac CT techniques to image perivascular fat for inflammation assessment.
• Integrating clinical risk factors, plaque imaging, and inflammation data for comprehensive risk stratification.

Main Results:

• CT coronary angiography effectively detects and characterizes coronary artery plaque.
• Imaging perivascular fat shows potential for identifying inflammation-driven residual CAD risk.
• A combined approach offers a more individualized and comprehensive CAD risk assessment.

Conclusions:

• Integrating clinical factors, plaque characteristics, and perivascular inflammation provides a holistic approach to CAD risk stratification.
• Advanced cardiac CT techniques assessing inflammation may improve identification of patients at high risk.
• This comprehensive strategy has potential healthcare benefits for CAD prevention, diagnosis, and treatment.