Risk assessment and predictive value of coronary artery disease testing

Area of Science:

• Cardiology
• Medical Imaging
• Health Economics

Background:

• Cardiac imaging is crucial for diagnosing coronary artery disease (CAD).
• Common modalities include stress myocardial perfusion imaging (SPECT/PET) and coronary CT angiography (CCTA).
• Comparative data on risk assessment, accuracy, and cost-effectiveness is limited.

Purpose of the Study:

• To compare risk assessment, predictive accuracy, and economic outcomes of stress myocardial perfusion imaging (SPECT/PET) and CCTA.
• To review the evidence base for these cardiac imaging modalities.
• To inform clinical utilization based on patient risk profiles.

Main Methods:

• Systematic review of existing literature.
• Comparative analysis of risk stratification and diagnostic performance.
• Evaluation of economic outcomes and cost-effectiveness.

Main Results:

• Stress myocardial perfusion imaging demonstrates a clear advantage for high-risk patients, especially those with established CAD.
• Coronary CT angiography (CCTA) is increasingly utilized for patients with atypical symptoms and lower pre-test probability of CAD.
• An extensive evidence base supports stress myocardial perfusion imaging.

Conclusions:

• Current evidence supports distinct roles for stress myocardial perfusion imaging and CCTA based on patient risk.
• Further comparative research across modalities is needed to definitively guide clinical practice and optimize resource allocation.
• The use of CCTA is expected to grow, particularly in lower-risk populations.