To explore the role of computed tomography (CT) in the early detection and management of coronary artery disease (CAD), emphasizing its potential to improve patient outcomes.
Key Findings:
CT detects non-obstructive CAD more effectively than invasive coronary angiography (ICA), leading to increased preventive therapy, as evidenced by trial statistics.
CT aids in determining treatment strategies for obstructive CAD, reducing unnecessary revascularization procedures, supported by findings from DISCHARGE.
CT improves procedural planning for revascularization by providing quantitative imaging biomarkers, enhancing decision-making.
Interpretation:
CT has the potential to transform CAD diagnosis and treatment through non-invasive imaging, significantly enhancing preventive care and individualized treatment strategies.
Limitations:
Current evidence primarily pertains to patients with stable chest pain and intermediate likelihood of CAD, limiting generalizability.
CT did not improve clinical outcomes in acute presentations despite reducing ICA rates, indicating a need for further investigation.
Limited implementation of AI in CT analysis hampers personalized preventive therapy, highlighting a gap in current research.
Conclusion:
Multidisciplinary collaboration has established a foundation for integrating CT into CAD management, with a strong call for future research to expand its application across diverse patient populations.
