Key result
Novel on-site CT-FFR algorithm demonstrates ~84% accuracy for detecting functionally significant CAD.
Why the study?
Does a fast, on-site CT-FFR algorithm accurately predict invasive FFR and absolute myocardial blood flow in patients with suspected chronic coronary syndrome and ≥50% stenosis on CCTA?
Observational (n=38)
Blinded core-lab analysis
Yes
Does a fast, on-site CT-FFR algorithm accurately predict invasive FFR and absolute myocardial blood flow in patients with suspected chronic coronary syndrome and ≥50% stenosis on CCTA?
Effect estimate: 84% accuracy (95% CI 70-93)
A novel on-site CT-FFR algorithm demonstrated high sensitivity and negative predictive value for ruling out functionally significant coronary artery disease compared to invasive FFR, though it correlated weakly with absolute myocardial blood flow.
Background CT-derived fractional flow reserve (FFR) improves the diagnostic accuracy of coronary CT angiography (CCTA) but typically requires off-site processing. We evaluated the agreement and diagnostic accuracy of a fast (∼8-min), on-site CT-FFR algorithm against invasive FFR and its correlation with myocardial blood flow. Methods and results Patients with suspected chronic coronary syndrome and at least one ≥50 % diameter stenosis on CCTA underwent [ 15 O]H 2 O PET and invasive coronary angiography with three-vessel invasive FFR. Thirty-eight patients with 89 vessels were included for analysis. Median invasive and CT-FFR were 0.92 (IQR 0.80–0.97) and 0.84 (IQR 0.68–0.91), respectively (rho = 0.75). Against invasive FFR ≤0.80 on a per-patient level, CT-FFR ≤0.80 showed 84 % accuracy (95 % CI 70–93 %), 100 % sensitivity (95 % CI 85–100 %), 62 % specificity (95 % CI 39–82 %), a positive predictive value (PPV) of 79 % (95 % CI 60–90 %), negative predictive value (NPV) of 100 % (95 % CI 72–100 %). Compared with ≥50 % diameter stenosis on CCTA on a per-vessel level, CT-FFR ≤0.80 had similar sensitivity and NPV but higher accuracy, specificity, and PPV. Both CT-FFR and invasive FFR correlated weakly with stress myocardial blood flow (rho 0.30 and 0.35, respectively) and myocardial flow reserve (rho 0.20 and 0.38, respectively). Conclusion A novel on-site CT-FFR algorithm demonstrates fast and very high rule-out capability and incremental rule-in potential beyond diameter stenosis for functionally significant disease determined by invasive FFR in patients with suspected stenosis at CCTA. Both measures of FFR correlated weakly with myocardial blood flow and flow reserve by [ 15 O]H 2 O PET.
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Søby et al. (2026) conducted an observational in Suspected chronic coronary syndrome (n=38). On-site CT-derived fractional flow reserve (CT-FFR) vs. Invasive fractional flow reserve (FFR) was evaluated on Per-patient diagnostic accuracy of CT-FFR ≤0.80 for predicting invasive FFR ≤0.80 (84% accuracy, 95% CI 70-93). A novel on-site CT-FFR algorithm demonstrated 84% per-patient diagnostic accuracy, with 100% sensitivity and 62% specificity, for predicting functionally significant coronary artery disease defined by invasive FFR.
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