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Diagnostic Accuracy of Angiography‐Derived Murray Law‐Based Quantitative Flow Ratio (μQFR) Versus Pressure‐Derived Fractional Flow Reserve (FFR) in Moderate to Severe Calcified Coronary Lesions—The DIAMOND Study

Year: 2025
Type: article
Study design: Observational Study
Abstract: BACKGROUND: Murray law-based Quantitative Flow Ratio (μQFR) is an innovative AI-driven method for evaluating coronary lesions using contrast flow velocity estimates. Unlike traditional approaches, μQFR does not require pressure wires or hyperemia induction. However, its accuracy compared to Fractional Flow Reserve (FFR) for calcified lesions (ACC/AHA classification B2 or C) remains underexplored. AIMS: This study aimed to evaluate the diagnostic accuracy of μQFR in detecting hemodynamically significant calcified coronary stenosis, defined as FFR ≤ 0.80. METHODS: In this two-center, investigator-initiated trial, patients with calcified lesions (B2 or C, 30%-90% diameter stenosis) and FFR assessment during coronary angiography were included. μQFR was calculated by a nurse blinded to the FFR results. Sensitivity and specificity of μQFR were compared with FFR as the gold standard. RESULTS: Among 125 patients, paired μQFR and FFR data were available for 107 patients and 120 lesions. Mean FFR, μQFR, and percent stenosis were 0.775 (95% CI: 0.757-0.793), 0.788 (95% CI: 0.772-0.805), and 56.75% ( ± 10.14%), respectively. μQFR demonstrated a sensitivity of 75% (95% CI: 65.6%-84.6%), a specificity of 77.8% (95% CI: 63.5%-92.0%), a diagnostic precision of 75.8% and an area under the receiver operating characteristic curve of 0.813 (95% CI: 0.714-0.911). The positive predictive value was 88.7%, and the negative predictive value was 57.1%. The positive and negative likelihood ratios were 3.38 and 0.32, respectively. CONCLUSION: μQFR is simple to compute and offers moderate diagnostic accuracy for calcified coronary stenosis. It provides a valuable alternative when FFR is unavailable or technically challenging.
Language: English
Subfield: Surgery
Field: Medicine
Open Access status: hybrid
Estimated APC paid: $4,490
OpenAlex ID: W4409732629
FWCI: 1.785
Cites: 16
Cited by: 2
Related to: 10