Related Experiment Video
Updated: May 23, 2025
Author Spotlight: Advancing Cardiovascular Imaging - Introducing the Spatially Weighted Calcium Score for Early Disease Detection
Published on: September 22, 2023
Improved evaluation of coronary artery diseases from patients with coronary calcification utilizing FFRCT: a
Objective:
This multicenter study evaluated the diagnostic accuracy of coronary computed tomography angiography (CCTA) and computed tomography-derived fractional flow reserve (FFRCT) in diagnosing coronary artery disease (CAD), focusing on the impact of coronary calcification, using invasive coronary angiography (ICA) as the reference.
Methods:
The study analyzed 4172 patients from 3 centers who underwent CCTA and FFRCT between August 2021 and August 2022. Exclusion criteria included the absence of ICA within 90 days after CCTA, left main disease, previous coronary revascularization, or unmeasurable Agatston score (AS).
Results:
The study included 492 patients. In patients with less than mild calcification (AS < 100), the area under the receiver operating characteristic curve (AUC) for FFRCT was superior to CCTA (0.87 [95% confidence interval (CI): 0.82-0.92] vs. 0.78 [95% CI: 0.73-0.84], P = 0.009). As the severity of calcification increased, both CCTA and FFRCT showed reduced diagnostic efficacy, but FFRCT maintained higher accuracy. In patients with greater than moderate calcification (AS ≥ 100), FFRCT significantly outperformed CCTA (0.80 [95% CI: 0.74-0.85] vs. 0.62 [95% CI: 0.56-0.68], P < 0.001). Furthermore, integrating FFRCT with CCTA and baseline factors using least absolute shrinkage and selection operator (LASSO) improved diagnostic performance in patients with greater than moderate calcification (AS≥100) than FFRCT (0.85 [95% CI: 0.78-0.92] vs. 0.81 [95% CI: 0.72-0.90], P = 0.003).
Conclusion:
FFRCT offers superior diagnostic accuracy over CCTA, particularly in patients with moderate to severe calcification. Furthermore, the LASSO model enhances diagnostic performance in these cases, demonstrating potential for improving CAD diagnosis in patients with significant coronary calcification.
