Validation of the “smart” minimum FFR Algorithm in an unselected all comer population of patients with intermediate coronary stenoses

In this study we used the same “smart” minimum algorithm to analyze data derived fro m a different, commercial pressure wire system (Philips Volcano) and compared the values obtained to both operator-defined steady state FFR and the online automated minimum FFR reported by the pressure wire analyser. For this analysis, we used the data collected during the VERIFY 2 study (Hennigan e t al. in Circ Cardiovasc Interv, doi:10.1161/CIRCINTERVENTIONS.116.004016) in which we measured FFR in 257 intermediate coronary stenoses (mean DS 48%) in 197 patients. Maximal hyperaemia was induced using intravenous adenosine (140  mcg/kg/min). We recorded both the online minimum FFR generated by the analyser and the operator-reported steady state FFR. Subsequently, the raw pressure tracings were coded, anonymised and 256/257 were subjected to further off-line analysis using the smart minimum FFR (smFFR) algorithm. The opera tor-defined steady state FFR correlated well with smFFR: r = 0.988 (p <  0.001), average bias 0.008 (SD 0.014), 95% limits of agreement −0.020 to 0.036. The online automated minimum FFR also correlated well with the smFFR: r = 0.998 (p <  0.001), average bias 0.004 (SD 0.006), 95% limits of agreement −0.016 to 0.008. Finally, the online automated minimum FFR correlated well the operator-reported steady state FFR: r = 0.988 (p <  0.001), average bias 0.012 (SD 0.014), 95% limits of agreement −0.039 to 0.015. In 95% of lesions studie...
Source: The International Journal of Cardiovascular Imaging - Category: Radiology Source Type: research