Why the study?
Because physiological disease patterns significantly influence FFR-iFR discordance, this study evaluated whether these patterns also impact the diagnostic accuracy of quantitative flow reserve.
Does the physiological pattern of coronary disease impact the diagnostic accuracy of quantitative flow reserve (QFR) compared to iFR?
Does the physiological pattern of coronary disease impact the diagnostic accuracy of quantitative flow reserve (QFR) compared to iFR?
QFR provides good diagnostic accuracy for assessing myocardial ischemia regardless of whether the coronary disease pattern is focal or diffuse, though the disease pattern influences QFR/iFR discordance.
QFR accuracy holds across focal/diffuse patterns; leaves open prospective validation versus wire-based indices.
BACKGROUND: Fractional flow reserve (FFR) and instantaneous wave-free ratio (iFR) disagree in about 20% of intermediate coronary lesions. As the physiological pattern of coronary artery disease has a significant influence on FFR-iFR discordance, we sought to assess it may impact on the diagnostic accuracy of quantitative flow reserve (QFR). METHODS: One hundred and ninety-four patients with 224 intermediate coronary lesions were investigated with iFR, FFR, and QFR. The physiological pattern of disease was assessed with iFR Scout pullback and QFR virtual pullback in all the cases. RESULTS: A predominantly physiologically focal pattern was observed in 81 (36.2%) lesions, whereas a predominantly physiologically diffuse was observed in 143 (63.8%) cases. QFR demonstrated a significant correlation (r = 0.581, p < 0.001) and a substantial agreement with iFR, both in diffuse (AUC = 0.798) and in focal (AUC = 0.812) pattern of disease. Discordance between QFR and iFR was observed in 51 (22.8%) lesions, consisting of iFR+/QFR- (64.7%) and iFR-/QFR+ (35.3%). Notably, the physiological pattern of disease was the only variable significantly associated with iFR/QFR discordance. QFR virtual pullback demonstrated an excellent agreement (83.9%) with iFR Scout pullback in classifying the physiological pattern of disease. CONCLUSIONS: QFR has a good diagnostic accuracy in assessing myocardial ischemia independently of the pattern of coronary disease. However, the physiological pattern of disease has an influence on the QFR/iFR discordance, which occurs in ~20% of the cases. The QFR virtual pullback correctly defined the physiological pattern of disease in the majority of the cases using the iFR pullback as reference.
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Scarsini et al. (2021) studied this question.
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