CT-FFR: How a new technology could transform cardiovascular diagnostic imaging

Area of Science:

• Cardiovascular Imaging
• Medical Diagnostics
• Radiology

Background:

• Coronary CT angiography (cCTA) provides anatomical information but lacks functional assessment of stenosis.
• CT-based fractional flow reserve (CT-FFR) offers a noninvasive method to evaluate hemodynamic significance.
• Invasive coronary angiography remains the gold standard but carries risks and costs.

Purpose of the Study:

• To review technological advancements, clinical results, and applications of CT-FFR.
• To discuss software solutions, including AI-based analysis, for CT-FFR.
• To explore the potential integration of CT-FFR into clinical practice.

Main Methods:

• Review of current literature on CT-FFR technology and studies.
• Analysis of software solutions for CT-FFR, including AI-driven platforms.
• Evaluation of clinical outcomes and diagnostic performance compared to cCTA alone.

Main Results:

• CT-FFR significantly improves diagnostic accuracy and specificity compared to cCTA alone.
• AI and advanced imaging techniques like photon-counting CT show potential to refine CT-FFR.
• CT-FFR is particularly valuable for complex or ambiguous coronary stenoses.

Conclusions:

• CT-FFR is a promising tool for assessing the hemodynamic relevance of coronary stenoses.
• Technological innovation and AI integration may revolutionize noninvasive coronary diagnostics.
• Further research is needed for long-term validation, standardization, and economic assessment.